1150 - ntuaimage.ece.ntua.gr/~fmylonas/mylonas-citations.pdf · systems: technology and...
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ΥΠΟΜΝΗΜΑ ΔΗΜΟΣΙΕΥΣΕΩΝ ΜΕ ΕΤΕΡΟ-ΑΝΑΦΟΡΕΣ
(CITATION INDEX EXCLUDING SELF-CITATIONS)
Φοίβου-Απόστολου Ι. Μυλωνά
(Phivos Mylonas)
ΓΕΝΙΚΟ ΣΥΝΟΛΟ ΕΤΕΡΟ-ΑΝΑΦΟΡΩΝ: 1150
(TOTAL CITATIONS SUM: 1150)
Μάρτιος 2020
(March 2020)
ΕΚΔΟΣΕΙΣ – ΔΙΕΘΝΗ ΠΕΡΙΟΔΙΚΑ 0
[GUEST EDITING - INTERNATIONAL JOURNALS] 0
0
[EJ1] S. Sioutas, L. Iliadis, K.-L. Kermanides, Ph. Mylonas (eds.), Elsevier - Special Issue on Mining the
Humani-ties: Technologies and Applications, Engineering Applications of Artificial Intelligence (EAAI),
[ISSN: 0952-1976], in press
0
[EJ2] S. Laborie, Ph. Mylonas, Ph. Roose, M. Wallace (eds.), IGI Global - Special Issue on Social Media and
Networks for Multimedia Content Management, International Journal of Virtual Communities and
Social Networking (IJVCSN), 2014, [ISSN: 1942-9010]
0
[EJ3] b Ph. Mylonas, I. Anagnostopoulos, F. Bobillo, M. Strohmaier, G.-J. Houben (eds.), IGI Global - Special
Issue on Semantic Social Media Dynamics, International Journal on Semantic Web & Information
Systems, 2013, Volume 9, Issue 3, [ISSN: 1552-6283]
0
[EJ4] A. Artikis, Y. Kompatsiaris, Th. Winkler, Ph. Mylonas (eds.), Taylor & Francis - Special Issue on Event
Recognition, Applied Artificial Intelligence Journal, Volume 26, Issue 1-2, February 2012, [ISSN: 0883-
9514]
0
Citations: 1
1. P. Abend, Geobrowsing: Google Earth und Co.-Nutzungspraktiken einer digitalen Erde, 2014,
http://www.google.com/books?hl=el&lr=&id=CXuiBQAAQBAJ&oi=fnd&pg=PP1&ots=s07lMlxItR&sig=KK5
s7dLYOj3p3Y6ii-N8GT6cWEE
0
[EJ5] Ph. Mylonas, M. Bielikova, Y. Kompatsiaris, R. Troncy (eds.), IGI Global - Special Issue on Semantic
Media Adaptation & Personalization, International Journal on Semantic Web & Information Systems,
February 2010 (est.), [ISSN: 1552-6283]
0
[EJ6] M. Angelides, Ph. Mylonas, M. Wallace (eds.), Springer-Verlag - Semantic Media Adaptation and
Personalisation, Multimedia Tools and Applications, Volume 41, Number 3 / February 2009, [ISSN:
1380-7501]
0
Citations: 1
1. 1. M. David, S. Clegg, Power, pedagogy and personalization in global higher education: the occlusion of second-wave
feminism?, Discourse, Volume 29, Number 4, Routledge, December 2008 , pp. 483-498
0
[EJ7] Ph. Mylonas, H. Hellwagner, P. Castells, M. Wallace (eds.), Springer-Verlag - Special Issue on
Multimedia Adaptation and Personalization, Signal, Image and Video Processing, Volume 2, Number 4
/ December 2008, [ISSN: 1863-1703]
0
[EJ8] M. Angelides, Ph. Mylonas, M. Wallace (eds.), Springer-Verlag - Semantic Media Adaptation and
Personalization, ACM/Springer Multimedia Systems, Volume 13, Number 2 / August 2007, [ISSN: 0942-
4962]
0
ΕΚΔΟΣΕΙΣ – ΒΙΒΛΙΑ 0
[GUEST EDITING - BOOKS] 0
0
[EB1] E. Spyrou, D. Iakovidis, P. Mylonas (eds.), Semantic Multimedia Analysis and Processing, Digital
Imaging and Computer Vision, CRC Press/Taylor & Francis, 2017, [ISBN 978-1466575493]
0
Citations: 9
1. C. J. Perera, I. Naotunna, C. Sadaruwan, R.A.R.C. Gopura, T. D. Lalitharatne, SSVEP based BMI for
a meal assistance robot, 2016 IEEE International Conference on Systems, Man, and Cybernetics
(SMC), 9-12 Oct. 2016
0
2. A. Nikiforova, Mirror as a Pre-screen Image in Tennyson’s Poem “The Lady of Shalott” and Pre-Raphaelite
Illustrations, Advances in Social Science, Education and Humanities Research, volume 284, 2nd
International Conference on Art Studies: Science, Experience, Education (ICASSEE 2018)
0
3. S. Chandel, Y. Yuying, G. Yujie, A. Razaque, G. Yang, Chatbot: Efficient and Utility-Based Platform,
In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Computing, SAI 2018, Advances in Intelligent
Systems and Computing, vol 858. Springer, Cham
0
4. J. Serrano, F. Gonzalez, J. Zalewski, CleverNAO: The intelligent conversational humanoid robot, 2015
IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing
0
Systems: Technology and Applications (IDAACS), 24-26 September 2015
5. J. Thomsen, A. Sarioglu, R. Fricke, The LinkedTV Platform - Towards a Reactive Linked Media
Management System, LiME Workshop, 29 May 2016, Heraklion, Greece
0
6. N. Danilova, Integration of Search Theories and Evidential Analysis to Web-wide Discovery of Information
for Decision Support, Ph.D. Thesis, City University London, November 2014
0
7. M. A. Freesz, L. Yung, M. Moreno, STorM: A Hypermedia Authoring Model for Interactive Digital Out-
of-Home Media, In Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web
(WebMedia '17). ACM, New York, NY, USA, 41-48. DOI:
https://doi.org/10.1145/3126858.3126889, November 2017
0
8. C.-K. Chen, W.-C. Fang, A Reliable Brain-Computer Interface Based on SSVEP Using Online Recursive
Independent Component Analysis, 39th Annual International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC), July 2017
0
9. ГР Ишмуратова, НГ Ярушкина - Нечеткие системы и мягкие вычисления …, 2019,
ПРЕДСТАВЛЕНИЕ И ОБРАБОТКА НЕЧЕТКИХ ВРЕМЕННЫХ РЯДОВ НА ОСНОВЕ FUZZY
OWL, http://venec.ulstu.ru/lib/disk/2017/495.pdf#page=133
0
[EB2] Ph. Mylonas (ed.), IEEE Computer Society, Semantic and Social Media Adaptation and Personalization,
SMAP 2014 IEEE Proceedings, 2014
0
[EB3] I. Anagnostopoulos, M. Bielikova, P. Mylonas, N. Tsapatsoulis (eds.), Semantic Hyper/Multi-media
Adaptation: Schemes and Applications, Studies in Computational Intelligence, vol. 418, Springer-Verlag,
2013, [ISBN 978-3-642-28976-7]
0
[EB4] M. Wallace, I. Anagnostopoulos, Ph. Mylonas, M. Bielikova (eds.), Studies in Computational Intelligence,
Springer-Verlag - Semantics in Adaptive and Personalised Services: Methods, Tools and Applications,
2010, [ISBN-13: 978-3642116834]
0
Citations: 1
1. J. Nahar, T. Imam, K. S. Tickle, D. Garcia-Alonso, Medical knowledge based data mining for cardiac
stress test diagnostics, 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering
(APWC on CSE), 2-4 Dec. 2015
00
[EB5] M. Angelides, M. Wallace, Ph. Mylonas (eds.), Advances in Semantic Media Adaptation and
Personalization, vol. 2, CRC Press, Boca Raton, Florida, U.S.A., 2009, [ISBN-13: 978-1420076646]
0
Citations: 2
1. A. Paramythis, Thesis, Adaptive Systems: Development, Evaluation and Evolution, Institut für
Informationsverarbeitung und Mikroprozessortechnik (FIM), October 2009 0
2. G. Panteras , J. R. Clark, P. Agouris, A. Stefanidis, Ontology-driven scene interpretation based on qualitative spatial
reasoning, GeoJournal, pp. 1-18, 04 April 2016 0
[EB6] Ph. Mylonas, M. Wallace, I. Anagnostopoulos (eds.), IEEE Computer Society, Semantic Media
Adaptation & Personalization, SMAP 2009 IEEE Proceedings, 2009
0
[EB7] M. Wallace, M. Angelides, Ph. Mylonas (eds.), Springer-Verlag, Advances in Semantic Media Adaptation
and Personalization, Studies in Computational Intelligence, Vol. 93, 2008, [ISBN 978-3-540-76359-8]
0
Citations: 2
1. Multi-Dimensional Context-Aware Adaptation of Service Front-Ends, Project no. FP7 – ICT – 258030,
Deliverable D2.3.1, CARFO Population (R1),
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.434.1855&rep=rep1&type=pdf, 2012
0
2. E. Hyvönen, Publishing and Using Cultural Heritage Linked Data on the Semantic Web, J. Hendler, Y. Ding,
(eds.), Synthesis Lectures on the Semantic Web: Theory and Technology, 159 pages,
doi:10.2200/S00452ED1V01Y201210WBE003, Morgan & Claypool, Palo Alto, CA, USA, October 2012
0
[EB8] Ph. Mylonas, M. Wallace, M. Angelides (eds.), IEEE Computer Society, Semantic Media Adaptation &
Personalization, SMAP 2008 IEEE Proceedings, 2008
0
[EB9] Ph. Mylonas, M. Wallace, M. Angelides (eds.), IEEE Computer Society, Semantic Media Adaptation &
Personalization, SMAP 2007 IEEE Proceedings, 2007
0
[EB10] Ph. Mylonas, M. Wallace, M. Angelides (eds.), IEEE Computer Society, Semantic Media Adaptation &
Personalization, SMAP 2006 IEEE Proceedings, 2006
0
ΆΛΛΕΣ ΕΚΔΟΣΕΙΣ – EDITORIALS 0
[OTHER EDITORIALS] 0
0
[ED1] S. Berkovsky, K. Cheverst, P. Dolog, D. Heckmann, T. Kuflik, J. Picault, Ph. Mylonas, J. Vassileva,
Ubiquitous and decentralized user modelling, Editorial in Proceedings of Workshop UBIDEUM 2007, 10th
International Conference on User Modelling (UM 2007), Corfu, Greece, June 25-29, 2007
0
Citations: 3
1. 1. F. Abel, D. Heckmann, E. Herder, J. Hidders, G.-J. Houben, E. Leonardi, R. Math, K. van der Sluijs, Distributed user model platform and retrieval service, grapple-project.org, http://www.grapple-project.org/public-files/deliverables/copy_of_D6.1a-v1.0.doc/at_download/file, February 2009
0
2. 2. F. Carmagnola, V. Dimitrova, An Evidence-Based Approach to Handle Semantic Heterogeneity in Interoperable Distributed User Models, Lecture Notes in Computer Science, Springer, 2008
0
3. 3. L. Oneto, D. Heckmann, Data models and related documentation, http://wwwis.win.tue.nl/grapple/public-files/deliverables/copy_of_D7%202a-v1.0b.doc?month:int=1&year:int=2012&orig_query=, February 2009
0
0
ΔΗΜΟΣΙΕΥΣΕΙΣ – ΔΙΕΘΝΗ ΠΕΡΙΟΔΙΚΑ 0
[INTERNATIONAL JOURNALS] 00
00
[J1] Υ. Voutos, Ph. Mylonas, J. Katheniotis, A. Sofou, A Survey on Intelligent Agricultural Information
Handling Methodologies, Sustainability, MDPI, Volume 11, Issue 12, June 2019
0
Citations: 2
1. Nidia G. S. Campos, Atslands R. Rocha, Rubens Gondim, Ticiana L. Coelho da Silvam, Danielo G. Gomes,
Smart & Green: An Internet-of-Things Framework for Smart Irrigation, Sensors 2019, 20, 190, December 2019
0
2. M. Cupiał, Z. Kowalczyk, Optimization of Selection of the Machinery Park in Sustainable Agriculture,
Sustainability 2020, 12, 1380; doi:10.3390/su12041380
0
0
[J2] G. Paraskevopoulos, E. Spyrou, D. Sgouropoulos, T. Giannakopoulos, Ph. Mylonas, Real-Time Arm
Gesture Recognition using 3D Skeleton Joint Data, Algorithms, MDPI, Volume 12, Issue 5, May 2019
0
Citations: 1
3. E. Zhang, B. Xue, F. Cao, J. Duan, G. Lin, Y. Lei, Fusion of 2D CNN and 3D DenseNet for Dynamic Gesture
Recognition, Electronics 2019, 8, 1511; doi:10.3390/electronics8121511
0
0
[J3] Ph. Mylonas, Y. Voutos, Α. Sofou, A collaborative pilot platform for data annotation and enrichment
in viticulture, Information, MDPI, Volume 10, Issue 4, April 2019
0
Citations: 2
1. D. C. Tsouros, S. Bibi, P. G. Sarigiannidis, A Review on UAV-Based Applications for Precision Agriculture,
Information 2019, 10, doi: 10.3390/info10110349
0
2. A. Padyab, A. Habibipour, A. Rizk, A. Ståhlbröst, Adoption Barriers of IoT in Large Scale Pilots, Information
2020, 11, 23, December 2019
0
0
[J4] G. Drakopoulos, F. Stathopoulou, A. Kanavos, M. Paraskevas, G. Tzimas, Ph. Mylonas, L. Iliadis, A
genetic algorithm for spatiosocial tensorclustering, Evolving Systems, Springer, pp. 1–11, 22 February
2019, https://doi.org/10.1007/s12530-019-09274-9
0
Citations: 1
1. G. Drakopoulos, G. Pikramenos, E. Spyrou, S. J. Perantonis, Emotion Recognition From Speech: A Survey,
https://www.researchgate.net/profile/Georgios_Drakopoulos/publication/335260277_Emotion_Recog
nition_From_Speech_A_Survey/links/5d5bbf55299bf1b97cf79abe/Emotion-Recognition-From-Speech-A-
Survey.pdf, 15th International Conference on Web Information Systems and Technologies (WEBIST 2019,
Vienna, Austria, 18-20 September 201
0
0
[J5] E. Spyrou, R. Nikopoulou, I. Vernikos, Ph. Mylonas, Emotion Recognition from Speech using the Bag-
of-Visual Words on Audio Segment Spectrograms, Technologies, 7(1), 20;
https://doi.org/10.3390/technologies7010020, MDPI, February 2019
0
0
[J6] A. Savvopoulos, A. Kanavos, Ph. Mylonas, S. Sioutas, LSTM Accelerator for Convolutional Object
Identification, Algorithms, MDPI, Volume 11, Issue 10, October 2018, doi:10.3390/a11100157
00000
Citations: 2
1. F. Rundo, F. Trenta, A. Luigi Di Stallo, and S. Battiato, Advanced Markov-Based Machine Learning Framework
for Making Adaptive Trading System suggesting, Computation 2019, 7, 4; doi:10.3390/computation7010004
0
2. Zhen Li, Tao Tang, Chunhai Gao, Long Short-Term Memory Neural Network Applied to Train Dynamic Model
and Speed Prediction, Algorithms 2019, 12, 173; doi:10.3390/a12080173
0
000
[J7] A. Vlachostergiou, G. Caridakis, Ph. Mylonas, A. Stafylopatis, Learning Representations of Natural
Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level,
Algorithms, MDPI, Volume 11, Issue 10, October 2018, https://doi.org/10.3390/a11100164
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Citations: 2
1. F. Li, Y. Yin, J. Shi, X. Mao, and R. Shi, Method of Feature Reduction in Short Text Classification Based on Feature Clustering, Applied Sciences, 2019, 9, 1578, April 2019
2. O. Habimana, Y. Li, R. Li, X. Gu, G. Yu, Sentiment analysis using deep learning approaches: an overview, SCIENCE CHINA Information Sciences, Volume 63, Issue 1, 111102(2020), https://doi.org/10.1007/S11432-018-9941-6
0
[J8] Ph. Mylonas, The evolution of contextual information processing in informatics, Information, MDPI,
Volume 9, Issue 3, March 2018
00000
Citations: 1
1. D. Riboni, Special Issue on Context Awareness, Editorial, Information 2018, 9, 67, March 2018
[J9] Ph. Mylonas, A survey on context in modern humanistic computing, Computers & Electrical
Engineering, Volume 65, pp. 488-495, January 2018
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[J10] M. Korakakis, E. Spyrou, Ph. Mylonas, S. J. Perantonis, Exploiting social media information toward a
context-aware recommendation system, Social Network Analysis and Mining, Springer, Vol 7:42,
December 2017
00000
Citations: 7
2. 1. A. Semenov, Service suggesting beautiful route for pedestrians based on geo-tagged photos, Ph.D. Thesis, January 2018
3. 2. P. Chen, W. Shi, X. Zhou, Z. Liu, X. Fu, STLP-GSM: a method to predict future locations of individuals based on geotagged social media data, pp. 2337-2362, International Journal of Geographical Information Science, Volume 33, Issue 12, July 2019
4. 3. A. Bozanta, B. Kutlu, Developing a Contextually Personalized Hybrid Recommender System, Mobile Information Systems, Volume 2018, Article ID 3258916, https://doi.org/10.1155/2018/3258916
5. 4. A. Bozanta, B. Kutlu, HybRecSys: Content-based contextual hybrid venue recommender system, Journal of Information Science, 1–15, July 2018
6. 5. B. Devkota, H. Miyazaki, A. Witayangkurn, S. M. Kim, Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest, Sustainability 2019, 11(17), 4718; https://doi.org/10.3390/su11174718
7. 6. B. Devkota, H. Miyazaki, N. Pahari, Utilizing User Generated Contents to describeTourism Areas of Interest, https://saki.siit.tu.ac.th/stud2019/uploads_final/104__aeaf97bf147e9b8771af1196e8b6b946/Utilizing-User-Miyazaki.pdf
8. 7. C.-L. Kuo, T.-C. Chan, I.-C. Fan, A. Zipf, Efficient Method for POI/ROI Discovery Using Flickr Geotagged Photos, ISPRS International Journal of Geo-Information, 7(3), 121, doi:10.3390/ijgi70301212018, March 2018
0
[J11] G. Drakopoulos, A. Kanavos, Ph. Mylonas, S. Sioutas, Defining and evaluating Twitter influence
metrics: a higher-order approach in Neo4j, Social Network Analysis and Mining, Vol. 7, Num. 52,
December 2017
0
Citations: 8
9. 1. G. Drakopoulos, Political Analytics For Public Electronic Proposal Deliberation At Municipal Level, https://www.researchgate.net/publication/323571578_Political_Analytics_For_Public_Electronic_Proposal_Deliberation_At_Municipal_Level, March 2018
10. 2. G. Drakopoulos, Knowledge Mining with Tensor Algebra, https://www.researchgate.net/profile/Georgios_Drakopoulos/publication/320677453_Knowledge_Mining_with_Tensor_Algebra/links/59f393550f7e9b553eba763e/Knowledge-Mining-with-Tensor-Algebra.pdf, Tech. rep., Ionian University, October 2017
0
11. 3. C. A. Andrade Cabello, Diseño de una guía de recomendaciones para la viralización de alto impacto de contenidos en twitter: un caso de estudio, October 2019
0
12. 4. A. Kanavos, I. E. Livieris, Fuzzy Information Diffusion in Twitter by Considering User's Influence, International Journal on Artificial Intelligence Tools, World Scientific Publishing, December 3, 2019
0
13. 5. M. Mirbabaie, J. Marx, ‘Breaking’ news: uncovering sense-breaking patterns in social media crisis communication during the 2017 Manchester bombing, Behaviour & Information Technology, https://doi.org/10.1080/0144929X.2019.1611924, May 2019
0
14. 6. G. Drakopoulos, G. Pikramenos, E. Spyrou, S. J. Perantonis, Emotion Recognition From Speech: A Survey, 0
https://www.researchgate.net/profile/Georgios_Drakopoulos/publication/335260277_Emotion_Recognition_From_Speech_A_Survey/links/5d5bbf55299bf1b97cf79abe/Emotion-Recognition-From-Speech-A-Survey.pdf, 15th International Conference on Web Information Systems and Technologies (WEBIST 2019, Vienna, Austria, 18-20 September 2019
15. 7. G. Drakopoulos, E. Kafeza, H. Al Katheeri, Proof Systems In Blockchains: A Survey, https://www.researchgate.net/profile/Georgios_Drakopoulos/publication/334683761_Proof_Systems_In_Blockchains_A_Survey/links/5d39eeeb92851cd04686af13/Proof-Systems-In-Blockchains-A-Survey.pdf, 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2019), Athens, Greece, 20-22 September 2019
0
16. 8. A. Goel, M. Chakraborty, S. K. Biswas, The Role of Social Media in Crisis Situation Management: A Survey, Emerging Technologies in Data Mining and Information Security, pp. 439-448, September 2018
0
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[J12] Y. Voutos, Ph. Mylonas, E. Spyrou, E. Charou, A Social Environmental Sensor Network Integrated
within a Web GIS Platform, J. Sens. Actuator Netw., 6(4), 27, November 2017
0
Citations: 3
17. 1. M. Hammoudeh, M. Arioua, Sensors and Actuators in Smart Cities, J. Sens. Actuator Netw, 2018, 7, 8 0 18. 2. D. F. Silva, Challenges in the implementation of projects of internet of things and actions to overcome them, Thesis,
Universidade Nove de Julho, Sao Paulo, December 2018 00
19. 3. R. Teguh, E. D. Oktaviyani, Rancang bangun desain internet of things untuk pemantauan kualitas udara pada studi kasus polusi udara, Jurnal Teknologi Informasi, http://e-journal.upr.ac.id/index.php/TIK/article/view/629, 2018
00
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[J13] M. Papakostas, E. Spyrou, T. Giannakopoulos, G. Siantikos, D. Sgouropoulos, Ph. Mylonas, F.
Makedon, Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion
Recognition, Computation, 5 (2), 26, June 2017
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Citations: 16
20. 1. C.-L. Kuo, T.-C. Chan, I.-C. Fan, A. Zipf, Speech Emotion Recognition using Convolutional Neural Networks, ISPRS International Journal of Geo-Information, 7(3), 121, doi:10.3390/ijgi70301212018, March 2018
0
21. 2. Cristian Paul Bara, Michalis Papakostas, and Rada Mihalcea, A Deep Learning Approach Towards Multimodal Stress Detection, The AAAI-20 Workshop On Affective Content Analysis, AFFCON2020: Interactive Affective Response, New York, USA, February 7, 2020
0
22. 3. E. Mansouri-Benssassi, J. Ye, Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks, 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-8. doi: 10.1109/IJCNN.2019.8852473
0
23. 4. F. Daneshfar, S. J. Kabudian, Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm, Multimed Tools Appl (2019). https://doi.org/10.1007/s11042-019-08222-8
0
24. 5. M. Esmaeilpour, P. Cardinal, A. L. Koerich, Unsupervised Feature Learning for Environmental Sound Classification Using Cycle Consistent Generative Adversarial Network, Applied Soft Computing, arXiv preprint arXiv:1904.04221, April 2019
0
25. 6. D. K. Iakovidis, D. Diamantis, G. Dimas, C. Ntakolia, E. Spyrou, Digital Enhancement of Cultural Experience and Accessibility for the Visually Impaired, Technological Trends in Improved Mobility of the Visually Impaired, EAI/Springer Innovations in Communication and Computing, Sara Paiva (ed.), Springer International Publishing, 978-3-030-16449-2, July 2019
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26. 7. O. E. N. Noi, M. Qirong, G. Xu, Y. Xue, Coupled Unsupervised Deep Convolutional Domain Adaptation for Speech Emotion Recognition, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 13-16 September 2018, Xi'an, China, China
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27. 8. E. N. N. Ocquaye, Q. Mao, H. Song, G. Xu, Y. Xue, Dual Exclusive Attentive Transfer for Unsupervised Deep Convolutional Domain Adaptation in Speech Emotion Recognition, IEEE Access, Volume 7, pp. 93847 - 93857, June 2019
0
28. 9. M. Papakostas, From body to brain: using artificial intelligence to identify user skills & intentions in interactive scenarios, PhD Thesis, The university of Texas at Arlington, May 2019
0
29. 10. M. Papakostas, T. Giannakopoulosa, Speech-Music Discrimination Using Deep Visual Feature Extractors, Expert Systems with Applications, Elsevier, May 2018
0
30. 11. M. Papakostas, K. Tsiakas, M. Abujelala, M. Bell, F. Makedon, v-CAT: A Cyberlearning Framework for Personalized Cognitive Skill Assessment and Training, In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (PETRA '18). ACM, New York, NY, USA, 570-574. DOI: https://doi.org/10.1145/3197768.3201545
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31. 12. S. Shahsavarani, Speech Emotion Recognition using Convolutional Neural Networks, Master thesis, The University of Nebraska-Lincoln, March 2018
0
32. 13. E. Spyrou, N. Vretos, A. Pomazanskyi, S. Asteriadis, H. C. Leligou, Exploiting IoT Technologies for Personalized Learning, 2018 IEEE Conference on Computational Intelligence and Games (CIG), 14-17 August 2018
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33. 14. H. Tian, S. Pouyanfar, J. Cheny, S.-C. Chen, S. S. Iyengar, Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms, 2018
0
34. 15. D. Tsatsou, A. Pomazanskyi, E. Hortal, E. Spyrou, H. C. Leligou, S. Asteriadis, N. Vretos, P. Daras, Adaptive Learning Based on Affect Sensing, In: Penstein Rosé C. et al. (eds) Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science, vol 10948. Springer, Cham
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35. 16. A. Nagineni, Learning Useful Features For Poker, The University of Texas at Austin, Thesis, December 5, 2018 0
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[J14] E. Spyrou, M. Korakakis, V. Charalampidis, A. Psallas, Ph. Mylonas, A Geo-Clustering Approach for
the Detection of Areas-of-Interest and Their Underlying Semantics, Algorithms, MDPI, Volume 10,
Issue 1, March 2017
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Citations: 9
36. 1. S. Shahsavarani, Efficient Method for POI/ROI Discovery Using Flickr Geotagged Photos, Thesis, University of Nebraska, Lincoln, Nebraska, March 2018
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37. 2. L. Belcastro, M. T. Kechadi, F. Marozzo, L. Pastore, D. Talia, P. Trunfio, Parallel extraction of Regions‐of‐Interest from social media data, Concurrency Computat Pract Exper. 2019;e5638, https://doi.org/10.1002/cpe.5638, Wiley Online Library
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38. 3. M. Hirotay, M. Endoz, D. Kato♯, H. Ishikawa, Discovering Hotspots Using PhotographicOrientation and Angle of Viewfrom Social Media Site, International Journal of Informatics Society, VOL.10, NO.3 (2019) 109-117
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39. 4. S. Keivanpour, A. Ramudhin, D. A. Kadi, S. Kimiagari, Global offshore wind energy deployment: a geo-clustering approach, pp. 1054-1060, International Journal of Green Energy, Volume 16, Issue 13, August 2019
0
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logics, Journal of Artificial Intelligence Research, October 2007, Volume 30, pp. 273-320
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Relationship among Objects, International Journal of Signal and Imaging Systems Engineering, Volume 2,
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86. G. Sureshkumar, R. Baskaran, M. Sathya, M. Deivamani, Automatic image annotation using colour entropy
and region contours, 2009 IEEE International Advance Computing Conference (IACC 2009), pp. 109-113
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87. Z. Tianzhong, L., Jianjiang, Z., Yafei, X., Qi, Image annotation based on feature weight selection, Proceedings of
the 2008 International Conference on Cyberworlds (CW 2008), pp. 251-255
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88. D. Vallet, Personalized Information Retrieval in Context by Exploiting Semantic Knowledge and Implicit User
Feedback, Ph.D. Thesis, May 2008
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89. R. Vieux, J. Benois-Pineau, J.-Ph. Domenger and A. Braquelaire, Segmentation-based multi-class semantic
object detection, Multimedia Tools and Applications, Springer Verlag,
http://www.springerlink.com/index/J444837556023J4P.pdf, DOI 10.1007/s11042-010-0611-2, October
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90. I. Vlahavas, A. Likas, G. Paliouras, Machine Learning and Neural Networks,
http://eetn.gr/MachineLearning, AI Research in Greece, 2011
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91. Y. Wang, L. Pan, Automatic Airport Recognition Based on Saliency Detection and Semantic Information,
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92. Y. Wang, P. Wang, P. Chen, System and method for aerial video traffic analysis, US Patent App. 10/410,055,
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Automation and Computing, Volume 5, Issue 2, April 2008, Pages 198-201
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94. W. Xing, D. Jing, H. Fanyu, Adaboost based on dynamic hierarchical method of license plate location, Market
Modernization, 2008 (7), http://d.wanfangdata.com.cn/Periodical_scxdh200807261.aspx#a
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95. J. Yadegar, X. Liu, Hierarchical layered and semantic-based image segmentation using ergodicity map,
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96. M. C. Younis, E. Keedwell, Semantic segmentation on small datasets of satellite images using convolutional
neural networks, Journal of Applied Remote Sensing 13(4), 046510, 18 November 2019,
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97. C. Zhang, H. Lin, X. Lu, Geographic Unit Sequences Based Remote Sensing Image Analysis, 19th International
Conference on Geoinformatics, pp. 1-6, Shanghai, China, 24-26 June 2011
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98. Q. Zhang, E. Izquierdo, Multifeature analysis and semantic context learning for image classification, ACM
Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Volume 9,
Issue 2, May 2013
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99. T.-Z. Zhao, Y.-H. Li, J.-J. Lu, Y.-F. Zhang, Classifier ensemble based-on bi-coded chromosome genetic algorithm
for automatic image annotation, Proceedings of the 7th International Conference on Machine Learning and
Cybernetics (ICMLC), pp. 22-27, 2008
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100. T. Zhao, J. Lu, Y. Zhang, Q. Xiao, Image Annotation Based on Feature Weight Selection, International
Conference on Cyberworlds 2008, 22-24 September 2008, pp. 251 – 255, Hangzhou, China
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101. T. Zhao, J. Lu, Y. Zhang, Q. Xiao, W. Xu, Classifier ensemble based-on AdaBoost and genetic algorithm for
automatic image annotation, Proceedings of the 2008 IEEE International Conference on Information and
Automation (ICIA 2008), pp. 1469-1473
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102. Y. Zhao, X. Hou, System and method for traffic data collection using unmanned aerial vehicles (UAVs), US Patent
9,952,594, 2018
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103. C. Zhou, C. Liu, Interactive Image Semantic Segmentation using Region Merging, International Journal of
Digital Content Technology & its Applications, Aug 2012, Vol. 6, Issue 15, pp. 35-44
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104. C. Zhou, C. Liu, Semantic image segmentation using low-level features and contextual cues, Computers &
Electrical Engineering, in press, 18 May 2013
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105. K. Zhou, L. I. U. Siyuan, System and method for distributed graphics processing unit (gpu) computation, US
Patent App. 15/640, 510, 2019
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106. Z. Huang, P. Chen, P. Wang, System and method for semantic segmentation using hybrid dilated convolution
(hdc), US Patent App. 15/456, 294, 2018
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107. Y. Wang, Z. H. U. Ligeng, P. Wang, P. Chen, System and method for detecting taillight signals of a vehicle, US
Patent App. 15/709,832, 2019
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108. X. Sun, LIN. Wutu, Y. Zhao, L. Liu, Large scale distributed simulation for realistic multiple-agent interactive
environments, US Patent 10,474,790, 2019
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109. C. Zhou, C. Liu, Weakly Supervised Semi-automatic Semantic Segmentation of Natural Scene Images, Journal of
Computational Information Systems, Vol. 8, No. 18, pp. 7757-7763, 2012
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[J31] G. Th. Papadopoulos, Ph. Mylonas, V. Mezaris, Y. Avrithis, I. Kompatsiaris, Knowledge-Assisted
Image Analysis Based on Context and Spatial Optimization, International Journal on Semantic Web
and Information Systems, Vol. 2, No. 3, pp. 17-36, July-September 2006
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1. P. Buitelaar, P. Cimiano, A. Frank, M. Hartung, S. Racioppa, Ontology-based information extraction and
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2. S. Dasiopoulou, I. Kompatsiaris, M. G. Strintzis, Applying fuzzy DLs in the extraction of image semantics,
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and
Lecture Notes in Bioinformatics) Volume 5880 LNCS, pp. 105-132, 2009
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3. S. Dasiopoulou, I. Kompatsiaris, M. G. Strintzis, Investigating fuzzy DLs-based reasoning in semantic image
analysis, Multimedia Tools and Applications, Springer, Netherlands, [ISSN: 1380-7501], Volume 49, Issue
1, pp. 167-194, August 2010
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4. S. Dasiopoulou, I. Kompatsiaris, M.G. Strintzis, Investigating Fuzzy Reasoning in Semantic Image Analysis,
http://mklab.iti.gr/files/InvestigatingFuzzyDLs.pdf
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5. M. Florián, M. Trujillo, MPEG-7 service oriented system — MPEG-7 SOS, International Workshop on
Content-Based Multimedia Indexing, London, United Kingdom, pp. 476-483, June 18-20, 2008
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6. E. Forczek, Metadata and information structure design on websites – towards a web for all, International Journal
of Knowledge and Web Intelligence, Inderscience Enterprises Ltd, Volume 2, Issue 1, pp. 3-14, February
2011
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7. T. Gregar, Semantics Visualization and Visual Semantics: in E-learning and other Applications, Ph.D.
Dissertation, Masaryk University, http://is.muni.cz/th/4099/fi_d/gregar10phd.pdf, April 2011
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8. K. Mc Guinness, Image Segmentation, Evaluation, and Applications, Ph.d. Thesis,
http://rian.ie/en/item/redirect/record_id/40428, 6 November 2009
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9. K. Mc Guinness, N. E. O’Connor, The K-Space Segmentation Tool Set,
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.154.9316&rep=rep1&type=pdf, 2008
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9788469183342, 2008
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17. J. Simko, M. Bielikova, State-of-the-Art: Semantics Acquisition and Crowdsourcing, Semantic Acquisition
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ΣΥΝΟΛΟ ΕΤΕΡΟ-ΑΝΑΦΟΡΩΝ ΠΕΡΙΟΔΙΚΩΝ & ΕΚΔΟΣΕΩΝ 652
[TOTAL CITATIONS SUM - JOURNALS & GUEST EDITING]
ΕΝΗΜΕΡΩΣΗ ΕΝΟΤΗΤΑΣ: 03.2020
[SECTION LAST UPDATED: 03.2020]
ΔΗΜΟΣΙΕΥΣΕΙΣ – ΚΕΦΑΛΑΙΑ ΒΙΒΛΙΩΝ BOOK CHAPTERS
[B1] E. Spyrou, Ph. Mylonas and S. Kollias, Concept-Based Multimedia Processing using Semantic and Contextual
Knowledge, in Perceptual Digital Imaging: Methods And Applications, R. Lukac (eds.), CRC Press/Taylor &
Francis, [ISBN: 978-1-439-868560], March 2017
[B2] G. Drakopoulos, F. Stathopoulou, G. Tzimas, M. Paraskevas, Ph. Mylonas, S. Sioutas, A Genetic Algorithm for
Discovering Linguistic Communities in Spatiosocial Tensors with an Application to Trilingual Luxemburg, Engineer-
ing Applications of Neural Networks, Vol. 744, G. Boracchi, L. Iliadis, C. Jayne, A. Likas (eds.), Springer
International Publishing, DOI: 10.1007/978-3-319-65172-9, 2017
[B3] Ph. Mylonas, Exploring the notion of context in medical data, Advances in Experimental Medicine and Biology,
Vol. 989, Geriatrics, Springer International Publishing, P. Vlamos (ed.), DOI: 978-3-319-57348-9_4
[B4] S. Sioutas, Ph. Mylonas, A. Panaretos, P. Gerolymatos, D. Vogiatzis, E. Karavaras, T. Spitieris, A. Kanavos,
Survey of machine learning algorithms on Spark over DHT-based Structures, In: Sellis T., Oikonomou K. (eds)
Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2016, Lecture Notes in Computer Science, vol 10230,
Springer, Cham, August 2016
1. A. Elouardighi, M. Maghfour, H. Hammia, 2017, Collecting and Processing Arabic Facebook Comments for Sentiment
Analysis, In: Ouhammou Y., Ivanovic M., Abelló A., Bellatreche L. (eds), Model and Data Engineering, MEDI 2017,
Lecture Notes in Computer Science, vol 10563, Springer, Cham
2. F. Tang, Link-Prediction and its Application in Online Social Networks, Thesis, Victoria University
3. E. Dritsas, I. E. Livieris, K. Giotopoulos, L. Theodorakopoulos, An Apache Spark Implementation for Graph-based Hashtag
Sentiment Classification on Twitter, In Proceedings of ACM 21th Panellenic Conference on Informatics (PCI’18), Nov.
2018
4. A. Alexopoulos, A. Kanavos, K. Giotopoulos, A. Mohasseb, M. Bader-El-Den, A. Tsakalidis, Incremental Learning for
Large Scale Classification Systems, IFIP International Conference on Artificial Intelligence Applications and Innovations,
AIAI 2018: Artificial Intelligence Applications and Innovations, pp. 112-122
[B5] A. Pateli, P. Mikalef, Ph. Mylonas, Closing the innovation gap in the Adriatic Region: Greece, C. Cozza, G. Harir-
chi, A. M. Čunko (eds.), Innovation in the Adriatic Region, EUT, Trieste, 2016, ISBN: 978-88-8303-761-0
[B6] E. Spyrou, A. Psallas, V. Charalampidis, Ph. Mylonas, Discovering Areas of Interest using a Semantic Geo-
Clustering Approach, Artificial Intelligence Applications and Innovations, Vol. 475, IFIP Advances in
Information and Communication Technology, pp. 490-498, Springer
(Citations: 1)
1. X. Qian, X. Lu, J. Han, B. Du, X. Li, On Combining Social Media and Spatial Technology for POI Cognition and Image
Localization, Proceedings of the IEEE, pp. 1-16, August 2017, DOI: 10.1109/JPROC.2017.2731600
[B7] I. Papadakis, M. Stefanidakis, Ph. Mylonas, B. Endres Niggemeyer, S. Kazanas, Top-K Shortest Paths in Large
Typed RDF Datasets Challenge, Semantic Web Challenges Third SemWebEval Challenge at ESWC 2016, H. Sack,
S. Dietze, A. Tordai, C. Lange (Eds.), Heraklion, Crete, Greece, pp. 191-199
(Citations: 3)
1. I. Papadakis, S. Kazanas, M. Stefanidakis, Navigational Queries As Property Path Queries Employing The Kleene Star
Operator, 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 20-21
Oct. 2016
2. V. Savenkov, Q. Mehmood, J. Umbrich, A. Polleres, Counting to k or how SPARQL1.1 Property Paths Can Be Extended to
Top-k Path Queries, 13th International Conference on Semantic Systems (Semantics2017), Amsterdam, Netherlands, 11-14
September 2017, DOI: 10.1145/3132218.3132239
3. Q. Mehmood, A. Jha, D. Rebholz-Schuhmann, R. Sahay, FedS: Towards Traversing Federated RDF Graphs, DAWAK 2018,
At Regensburg, Germany, Volume: 20. June 2018
[B8] E. Spyrou, Ph. Mylonas, A Survey of Geo-tagged Multimedia Content Analysis within Flickr, Artificial Intelligence
Applications and Innovations, IFIP Advances in Information and Communication Technology, Volume 437,
pp. 126-135, 2014
(Citations: 3)
1. T. Chen, Analyzing image tweets in microblogs, Ph.D Thesis, National University Of Singapore, 2016,
http://scholarbank.nus.edu.sg/bitstream/handle/10635/124157/ChenT.pdf
2. T. R. Soomro, M. Hussain, Social Media-Related Cybercrimes and Techniques for Their Prevention, Applied Computer
Systems, May 2019, vol. 24, no. 1, pp. 9–17
3. U. Roy, Text Recognition and Retrieval in Natural Scene Images, M.Sc. Thesis, Center for Visual Information and
Technology, International Institute of Information Technology, Hyderabad - 500 032, India, December 2015
[B9] P. Alexopoulos, Ph. Mylonas, Towards vagueness-oriented quality assessment of ontologies, Lecture Notes in
Computer Science, including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in
Bioinformatics, Volume 8445, LNCS, pp. 448-453, May 2014
(Citations: 2)
1. S. El-Sappagh, M. Elmogy, A fuzzy ontology modeling for case base knowledge in diabetes mellitus domain, Engineering
Science and Technology, an International Journal, Elsevier, https://doi.org/10.1016/j.jestch.2017.03.009, April 2017
2. K. Sekandar, A quality measure for automatic ontology evaluation and improvement, Master's Thesis, June 26, 2018
[B10] I. Anagnostopoulos, G. Razis, Ph. Mylonas, C.-N. Anagnostopoulos, Query Expansion with a Little Help from
Twitter, Engineering Applications of Neural Networks, Communications in Computer and Information Sci-
ence, L. Iliadis, H. Papadopoulos, C. Jayne (eds.), Springer, Volume 384, pp. 20-29, 2013
(Citations: 1)
G. Razis, I. Anagnostopoulos, Modeling Influence with Semantics in Social Networks: a Survey,
https://arxiv.org/ftp/arxiv/papers/1801/1801.09961.pdf, January 2018
[B11] M. Wallace, P. Alexopoulos, Ph. Mylonas, Identifying Conceptual Layers in the Ontology Development Process, I.
Maglogiannis, V. Plagianakos, I. Vlahavas (Eds.): Artificial Intelligence: Theories and Applications, LNCS 7297,
Springer, May 2012
[B12] Ph. Mylonas, Understanding How Visual Context Influences Multimedia Content Analysis Problems, I. Maglogian-
nis, V. Plagianakos, I. Vlahavas (Eds.): Artificial Intelligence: Theories and Applications, LNCS 7297, Springer,
May 2012
(Citations: 1)
1. S. Luz, Restructuring multimodal interaction data for browsing and search, in Semantic Multimedia Analysis and Processing,
E. Spyrou, D. Iakovidis, Ph. Mylonas (eds.), CRC Press, 34 pp., June 23, 2014
[B13] S. Diplaris, A. Sonnenbichler, T. Kaczanowski, Ph. Mylonas, A. Scherp, M. Janik, S. Papadopoulos, M.
Ovelgönne, Y. Kompatsiaris, Emerging Collective Intelligence for personal, organisational and social use, in Next
Generation Data Technologies for Collective Computational Intelligence, N. Bessis, F. Xhafa (eds.), Studies in
Computational Intelligence, Volume 352/2011, 527-573, DOI: 10.1007/978-3-642-20344-2_20, Springer, ISBN-
13: 978-3642203435, 2011
(Citations: 9)
1. A. Cottica, G. Melançon, B. Renoust, Testing for the signature of policy in online communities, Complex Networks & Their
Applications V, Volume 693 of the series Studies in Computational Intelligence, pp. 41-54, 30 November 2016
2. A. Cottica, G. Melançon, B. Renoust, Online community management as social network design: testing for the signature of
management activities in online communities, Applied Network Science, Volume 2:30, December 2017
3. A. Hristoskova, W. Boffé, T. Tourwé and F. De Turck, Integrated Semantic and Event-based Reasoning for Emergency
Response Applications, Proceedings of the 8th International Conference on Geo-information for Disaster Management -
Best Practices, 2012
4. A. Hristoskova, F. Ongenae, F. De Turck, Semantic reasoning for intelligent emergency response applications, 11th IEEE
International Conference on Industrial Informatics (INDIN), Bochum, pp. 547 - 554, 29-31 July 2013
5. S. Karanasios, D. Allen, A. Norman, D. Thakker, L. Lau and V. Dimitrova, Making sense of digital traces: An activity theory
driven ontological approach, J. Am. Soc. Inf. Sci., doi: 10.1002/asi.22935, September 2013
6. I. Karydis, M. Avlonitis, K. Chorianopoulos, S. Sioutas, Identifying important segments in videos: a Collective intelligence
approach, International Journal on Artificial Intelligence Tools, 2014
7. I. Karydis, M. Avlonitis, S. Sioutas, Collective Intelligence in Video User’s Activity, Artificial Intelligence Applications and
Innovations, Volume 382, IFIP Advances in Information and Communication Technology, pp. 490-499, 2012
8. A. Sulistya, Making sense of crowd-generated content in domain-specific settings settings, 2019, 1-108, Dissertations and
Theses Collection (Open Access), https://ink.library.smu.edu.sg/etd_coll/228
9. X. H. Pham, T. T. Nguyen, J. J. Jung, D. Hwang, Extending HITS Algorithm for Ranking Locations by Using Geotagged
Resources, Computational Collective Intelligence. Technologies and Applications, Lecture Notes in Computer Science
Volume 8733, pp. 332-341, Springer, 2014
[B14] Th. Athanasiadis, Ph. Mylonas, G. Papadopoulos, V. Mezaris, Y. Avrithis, I. Kompatsiaris, M. Strintzis,
Knowledge Driven Segmentation and Classification, in Multimedia Semantics: Metadata, Analysis and Interaction,
Willey, R. Troncy, B. Huet, S. Schenk (eds.), September 2011
(Citations: 1)
1. B. Aydin, Organizing Personal Photo Collections Using Both Contextual Metadata and Content Analysis, Proceedings of RJCRI
2011, in conjunction with CORIA 2011, pp. 397-402, Avignon, France, 16-18 March 2011
[B15] V. Solachidis, Ph. Mylonas, A. Geyer-Schulz, B. Hoser, S. Chapman, F. Ciravegna, V. Lanfranchi, A. Scherp, S.
Staab, C. Contopoulos, I. Gkika, B. Bakaimis, P. Smrz, Y. Kompatsiaris, Y. Avrithis, Collective Intelligence
Generation from User Contributed Content, Advances in Data Analysis, Data Handling and Business Intelligence,
Studies in Classification, Data Analysis, and Knowledge Organization, pp. 765-774, 2010
(Citations: 11)
1. S. Ismail, M. S. Ahmad, A Nodal Approach to Agent-Mediation in Personal Intelligence, Knowledge Technology, Volume
295, Communications in Computer and Information Science, pp. 368-374, 2012
2. S. Ismail, M. S. Ahmad, Personal Intelligence in Collective Goals - A Bottom-Up Approach from PKM to OKM, 7th
International Conference on IT in Asia (CITA), 2011
3. S. Ismail, M. S. Ahmad, Z. Hassan, Granularity of Personal Intelligence in Social Networks, Social Networks: A Framework
of Computational Intelligence, Studies in Computational Intelligence, Volume 526, pp. 201-224, 2014
4. S. Ismail, M. S. Ahmad, Z. Hassan, Regression Analysis on Agent Roles in Personal Knowledge Management Processes,
Significance of a Connect Agent in Mediating Human’s Personal Knowledge Management, The Conference on Information
Technology in Asia (CITA), Malaysia, July 1-4, 2013
5. S. Ismail, M. S. Ahmad, Z. Hassan, Regression Analysis on Agent Roles in Personal Knowledge Management Processes:
Significance of a Connect Agent in Mediating Human’s Personal Knowledge Management, Journal of IT in Asia, Vol 5, No 1,
2015
6. S. Ismail, M. S. Ahmad, Z. Hassan, Emerging personal intelligence in collective goals: data analysis on the bottom-up approach
from PKM to OKM, Journal of Knowledge Management, Vol. 17 Iss: 6, 2013
7. J. B. Margoto, J. H. C. Fernandes, Collective intelligence, social networks and social capital: searching for conceptual connections
(Inteligência coletiva, redes sociais e capital social: em busca de conexões conceituais), pp. 93-1`08, Encontros Bibli:
revista eletrônica de biblioteconomia e ciência da informação, Vol. 20, Num. 42, http://dx.doi.org/10.5007/1518-
2924.2015v20n42p93, 2015
8. S. Mazumdar, V. Lanfranchi, A. E. Cano, and F. Ciravegna, Visualising Topical Sentiment in Twitter Streams, Journal:
Social Media and Linked Data for Emergency Response (SMILE), 2013
9. S. Mazumdar, V. Lanfranchi, N. Ireson, F. Ciravegna, Visual Analysis of Real-time Social Media for Emergency Response,
Workshop on Social Media and Linked Data for Emergency Response (SMILE2014), in conjuction with 11th Extended
Semantic Web Conference (ESWC2014), Anissaras, Crete, Greece, May 25, 2014
10. S. Tucker, V. Lanfranchi, N. Ireson, A. Sosa, G. Burel, F. Ciravegna, Straight to the information I need: assessing collational
interfaces for emergency response, In proceedings of the 9th International ISCRAM Conference – Vancouver, Canada, April
2012
11. FP7 – 270001 - Decipher, State of the art of event detection methods - D4.1.1,
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.452.3857&rep=rep1&type=pdf, December 2011
[B16] Ph. Mylonas, V. Solachidis, A. Geyer-Schulz, B. Hoser, S. Chapman, F. Ciravegna, S. Staab, P. Smrz, Y.
Kompatsiaris and Y. Avrithis, Efficient Media Exploitation towards Collective Intelligence, Advances in Data
Analysis, Data Handling & Business Intelligence, Studies in Classification, Data Analysis & Knowledge
Organization, Springer, Berlin/Heidelberg, November 2009
(Citations:3)
1. J. Berri, Towards a Framework for Collective Intelligence, 5th International Conference on Digital Information Manage-ment
(ICDIM 2010), pp. 454-459, Thunder Bay, Ontario, Canada, 5-8 July 2010
2. T. Gregar, Semantics Visualization and Visual Semantics: in E-learning and other Applications, Ph.D. Dissertation, Masaryk
University, http://is.muni.cz/th/4099/fi_d/gregar10phd.pdf, April 2011
3. S. Tucker, V. Lanfranchi, N. Ireson, A. Sosa, G. Burel, F. Ciravegna, “Straight to the Information I Need”: Assessing
Collational Interfaces for Emergency Response, 9th International Conference on Information Systems for Crisis Response
and Management, Vancouver, Canada, April 22-25, 2012
[B17] Ph. Mylonas and Y. Avrithis, Multimedia Personalization, Encyclopaedia of Multimedia, 2nd Edition, Springer
2008, October 2008, [ISBN: 978-0-387-74724-8]
[B18] S. Dasiopoulou, C. Saathoff, Ph. Mylonas, Y. Avrithis, Y. Kompatsiaris, S. Staab, and Michael G. Strinztis,
Introducing Context and Reasoning in Visual Content Analysis: An Ontology-Based Framework, Semantic
Multimedia and Ontologies: Theory and Applications, Springer-Verlag, Heidelberg, pp. 99–122, March 2008
(Citations: 16)
1. L. Ballan, Object and event recognition in multimedia archives using local visual features, Thesis, Universit`a degli Studi di
Firenze, 2010
2. L. Ballan, M. Bertini, A. Del Bimbo, L. Seidenari, G. Serra, Event detection and recognition for semantic annotation of video,
Multimedia Tools and Applications, (2011) 51:279–302, 2011
3. M. Bertini, A. Del Bimbo, and G. Serra, Learning ontology rules for semantic video annotation, In Proceedings of the 2nd
ACM workshop on Multimedia semantics (MS '08), ACM, New York, NY, USA, pp. 1-8.
DOI=10.1145/1460676.1460678 http://doi.acm.org/10.1145/1460676.1460678, 2008
4. U. Corda, Multimedia Semantics From MPEG-7 Metadata to Semantic Web Ontologies, In Proceedings of 2008 SMPTE
Conference, pp. 1-18, Hollywood, California, USA, 28-30 October 2008
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[B20] G. Th. Papadopoulos, Ph. Mylonas, V. Mezaris, Y. Avrithis and I. Kompatsiaris, Semantic Image Analysis
Optimization based on Context and Spatial Relations, A. Sheth, M. Lytras (eds.), Advances in Semantic Web and
Information Systems, Vol. 2., Innovations in Semantic Web Based Information Systems, October 2007
[B21] Ph. Mylonas, G. Andreou, K. Karpouzis, A Collaborative Filtering Approach to Personalized Interactive
Entertainment using MPEG-21, Emerging Artificial Intelligence Applications in Computer Engineering,
Frontiers in Artificial Intelligence and Applications, vol. 160, pp. 173–191, IOS Press, Amsterdam, Oct. 2007
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[B22] Ph. Mylonas, P. Tzouveli, S. Kollias, An integrated approach towards intelligent educational content adaptation,
Emerging Artificial Intelligence Applications in Computer Engineering, Frontiers in Artificial Intelligence and
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[B23] M. Wallace, Ph. Mylonas, G. Akrivas, Y. Avrithis and S. Kollias, Automatic thematic categorization of multimedia
documents using ontological information and fuzzy algebra, Studies in Fuzziness and Soft Computing, Soft
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Scenario-Driven Geographical Scope Resolution, International Journal On Advances in Intelligent Systems, vol 6 no 3 & 4,
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2. P. Alexopoulos, M. Wallace, K. Kafentzis, A. Michalas, A Fuzzy Ontology Framework for Customized Assessment of
Semantic Similarity, Proceedings of the 2008 3rd International Workshop on Semantic Media Adaptation and
Personalization, pp. 82-87, 2008
3. P. Alexopoulos, M. Wallace, K. Kafentzis, A. Thomopoulos, A Fuzzy Knowledge-based Decision Support System for Tender
Call Evaluation, IFIP Advances in Information and Communication Technology, Springer, Boston, [ISSN: 1868-4238],
Volume 296/2009, Artificial Intelligence Applications and Innovations III, pp. 51-59
4. P. Alexopoulos, M. Wallace, K. Kafentzis, D. Askounis, IKARUS-Onto: a methodology to develop fuzzy ontologies from crisp
ones, Knowledge and Information Systems, DOI: 10.1007/s10115-011-0457-6, 2011
5. S. Dasiopoulou, E. Spyrou, Y. Avrithis, Y. Kompatsiaris, M. G. Strintzis, Semantic Processing of colour Images, 2006
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State-of-the-art Report on Multimedia Reasoning
7. F. B. Ortega, Managing Vagueness in Ontologies, Ph.D. Dissertation, 2008
[B24] Th. Athanasiadis, Ph. Mylonas and Y. Avrithis, A Context-based Region Labeling Approach for Semantic Image
Segmentation, Lecture Notes in Computer Science – Semantic Multimedia, Springer, Vol. 4306 / 2006, pp. 212-
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5. I. Pratikakis, A. Bolovinou, B. Gatos, S. Perantonis, Semantics Extraction from Images, Knowledge-Driven Multimedia
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ΣΥΝΟΛΟ ΕΤΕΡΟ-ΑΝΑΦΟΡΩΝ ΒΙΒΛΙΩΝ: 137
(TOTAL CITATIONS SUM - BOOK CHAPTERS: 137)
ΕΝΗΜΕΡΩΣΗ ΕΝΟΤΗΤΑΣ: 03. 2020
(SECTION LAST UPDATED: 03.2020)
ΔΗΜΟΣΙΕΥΣΕΙΣ – ΠΡΑΚΤΙΚΑ ΔΙΕΘΝΩΝ ΣΥΝΕΔΡΙΩΝ INTERNATIONAL CONFERENCES
[C1] E. Spyrou, E. Mathe, I. Vernikos, P. Dedousis, A. Vlachou, Ph. Mylonas, The VISOR project: Virtual coachIng
Services for OldeR adults, 4th South-East Europe Design Automation, Computer Engineering, Computer
Networks and Social Media Conference (SEEDA-CECNSM 2019), Athens, Greece, 20-22 September 2019
[C2] Y. Voutos, G. Drakopoulos, Ph. Mylonas, Smart Agriculture: An Open Field For Smart Contracts, 4th South-East
Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference
(SEEDA-CECNSM 2019), Athens, Greece, 20-22 September 2019
[C3] I. Kyriazidou, G. Drakopoulos, A. Kanavos, C. Makris, Ph. Mylonas, Towards Predicting Mentions To Verified
Twitter Accounts: Building Prediction Models Over MongoDB With Keras, 15th International Conference on Web
Information Systems and Technologies (WEBIST 2019), Vienna, Austria, September 18-20, 2019
[C4] E. Charou, G. Felekis, D. Bournou Stavroulopoulou, M. Koutsoukou, A. Panagiotopoulou, Y. Voutos, E.
Bratsolis, Ph. Mylonas, L. Likforman-Sulem, Deep Learning for Agricultural Land Detection in Insular Areas, 10th
International Conference on Information, Intelligence, Systems and Applications (IISA), Patras, Greece, 15-17
July 2019
[C5] G. Drakopoulos, Ph. Mylonas and S. Sioutas, A Case Of Adaptive Nonlinear System Identification With Third
Order Tensors In TensorFlow, International Symposium on INnovations in Intelligent SysTems and
Applications (INISTA 2019), Sofia, Bulgaria, July 3-5, 2019
[C6] Ph. Mylonas, A. Sotiropoulou, K. Stamou, A Video Game for Byzantine History, Leeds International Medieval
Congress (IMC 2019), Leeds, United Kingdom, July 1-4, 2019
[C7] E. Spyrou, I. Vernikos, E. Mathe, A. Mitsou, T. Giannakopoulos, Ph. Mylonas, Fusing Handcrafted and
Contextual Features for Human Activity Recognition, 14th International Workshop on Semantic and Social Media
Adaptation and Personalization (SMAP 2019), June 2019, Larnaca, Cyprus
[C8] G. Drakopoulos, E. Spyrou, Ph. Mylonas, Tensor Clustering: A Review, 14th International Workshop on
Semantic and Social Media Adaptation and Personalization (SMAP 2019), June 2019, Larnaca, Cyprus
[C9] G. Drakopoulos, X. Liapakis, G. Tzimas, Ph. Mylonas, S. Sioutas, Computing Long Sequences Of Consecutive
Fibonacci Integers With TensorFlow, 8th Mining Humanistic Data Workshop (MHDW 2019) in conjunction with
20th EANN Conference, Crete, Greece, May 2019
[C10] I. Vernikos, E. Mathe, A. Papadakis, E. Spyrou, Ph. Mylonas, An Image Representation of Skeletal Data for Action
Recognition using Convolutional Neural Networks, PErvasive Technologies Related to Assistive Environments
(PETRA 2019), June 2019, Rhodes, Greece
[C11] A. Papadakis, E. Mathe, I. Vernikos, A. Maniatis, E. Spyrou, Ph. Mylonas, Recognizing Human Actions using
3D Skeletal Information and CNNs, 20th International Conference on Engineering Applications of Neural
Networks, Crete, Greece, May 24-26, 2019
[C12] J. Aliprantis, M. Konstantakis, R. Nikopoulou, Ph. Mylonas, G. Caridakis, Natural Interaction in Augmented
Reality context, Visual Pattern Extraction and Recognition for Cultural Heritage Understanding Workshop
(VIPERC2019), 30 January 2019, Pisa, Italy
(Citations: 3)
1. C. Kerdvibulvech, A Review of Augmented Reality-Based Human-Computer Interaction Applications of
Gesture-Based Interaction, In: C. Stephanidis (eds) HCI International 2019 – Late Breaking Papers, HCII
2019, Lecture Notes in Computer Science, vol 11786, Springer, Cham
2. Jing Qian, Jiaju Ma, Xiangyu Li, Benjamin Attal, Haoming Lai, James Tompkin, John F. Hughes, and Jeff
Huang, 2019, Portal-ble: Intuitive Free-hand Manipulation in Unbounded Smartphone-based Augmented
Reality, In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and
Technology (UIST '19), ACM, New York, NY, USA, 133-145. DOI:
https://doi.org/10.1145/3332165.3347904
3. N. Jakub, Pose AR: Assessing Pose Based Input in an AR Context, 2019, Master's thesis, http://www.diva-
portal.org/smash/get/diva2:1353995/FULLTEXT01.pdf
[C13] K. Michalakis, G. Alexandridis, G. Caridakis, Ph. Mylonas, Context incorporation in cultural path
recommendation using topic modelling, Visual Pattern Extraction and Recognition for Cultural Heritage
Understanding Workshop (VIPERC2019), 30 January 2019, Pisa, Italy
[C14] Y. Voutos, Ph. Mylonas, A semantic data model for sensory spatio-temporal environmental concepts, 22nd Pan-
Hellenic Conference on Informatics (PCI 2018), Nov. 29 - Dec. 1, 2018, Athens, Greece
[C15] Y. Voutos, E. Charou, Ph. Mylonas, M. Stefouli, Semantically supported analysis of spatio-temporal changes in
flood phenomena, 10th HellasGIS Hellenic Conference, November 12-14, 2018, Athens, Greece
[C16] G. Drakopoulos, X. Liapakis, G. Tzimas, Ph. Mylonas, A Graph Resilience Metric Based On Paths: Higher Order
Analytics With GPU, 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018,
November 5-7, 2018, Volos, Greece
(Citations: 1)
4. G. Drakopoulos, E. Kafeza, H. Al Katheeri, Proof Systems In Blockchains: A Survey,
https://www.researchgate.net/profile/Georgios_Drakopoulos/publication/334683761_Proof_Systems
_In_Blockchains_A_Survey/links/5d39eeeb92851cd04686af13/Proof-Systems-In-Blockchains-A-
Survey.pdf, 4th South-East Europe Design Automation, Computer Engineering, Computer Networks
and Social Media Conference (SEEDA-CECNSM 2019), Athens, Greece, 20-22 September 2019
[C17] G. Drakopoulos, M. Marountas, X. Liapakis, G. Tzimas, Ph. Mylonas, S. Sioutas, Blockchain For Mobile Health
Applications, Acceleration With GPU Computing, GeNeDis 2018, Toronto, Canada, 25-28 October 2018
[C18] G. Drakopoulos, Ph. Mylonas, S. Sioutas, An Architecture For Cooperative Mobile Health Applications, GeNeDis
2018, Toronto, Canada, 25-28 October 2018
[C19] A. Kanavos, I. Livieris, Ph. Mylonas, S. Sioutas, G. Vonitsanos, Towards Analyzing Next Generation Sequencing
Algorithms, GeNeDis 2018, Toronto, Canada, 25-28 October 2018
[C20] E. Mathe, A. Maniatis, E. Spyrou, Ph. Mylonas, A Deep Learning Approach for Human Action Recognition using
Skeletal Information, GeNeDis 2018, Toronto, Canada, 25-28 October 2018
[C21] M. Korakakis, Ph. Mylonas, E. Spyrou, A short survey on modern virtual environments that utilize AI and
synthetic data, The 12th Mediterranean Conference on Information Systems (MCIS), September 2018, Corfu,
Greece
[C22] E. Mathe, A. Mitsou, E. Spyrou, Ph. Mylonas, Hand Gesture Recognition using a Convolutional Neural Network,
13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2018),
Zaragoza, Spain, September 2018
[C23] E. Spyrou, I. Vernikos, R. Nikopoulou, Ph. Mylonas, A Non-Linguistic Approach for Human Emotion Recognition
from Speech, IEEE International Conference on Information, Intelligence, Systems and Applications (IISA
2018), July 2018, Zakynthos, Greece
(Citations: 2)
1. G. Drakopoulos, G. Pikramenos, E. Spyrou, S. J. Perantonis, Emotion Recognition From Speech: A Survey,
https://www.researchgate.net/profile/Georgios_Drakopoulos/publication/335260277_Emotion_Recog
nition_From_Speech_A_Survey/links/5d5bbf55299bf1b97cf79abe/Emotion-Recognition-From-Speech-
A-Survey.pdf, 15th International Conference on Web Information Systems and Technologies (WEBIST
2019, Vienna, Austria, 18-20 September 2019
2. A. Aschenbrenner, Emotionserkennung bei Nachrichtenkommentaren mittelsConvolutional Neural
Networks und Label Propagationsverfahren, PhD Thesis, Ludwig-Maximilians-Universität München,
2019, https://edoc.ub.uni-muenchen.de/25295/7/Aschenbrenner_Andreas.pdf
[C24] G. Drakopoulos, D. Tsolis, A. Stefani, Ph. Mylonas, The biomolecular computation paradigm: A survey in massive
biological computation, Mining Humanistic Data Workshop (MHDW 2018) in conjunction with 14th
International Conference on Artificial Intelligence Applications and Innovations, May 2018, Rhodes, Greece
[C25] G. Vonitsanos, A. Kanavos, Ph. Mylonas, S. Sioutas, A NoSQL Database Approach for Modeling Heterogeneous
and Semi-Structured Information, IEEE International Conference on Information, Intelligence, Systems and
Applications 2018, July 2018, Zakynthos, Greece
(Citations: 4)
1. S. Khan, X. Liu, S. A. Ali, M. Alam, Storage Solutions for Big Data Systems: A Qualitative Study and Comparison,
arXiv preprint, 2019
2. S. Khan, X. Liu, S. A. Alia, M. Alam, Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different
Application Areas, https://arxiv.org/ftp/arxiv/papers/1911/1911.11181.pdf, 2019
3. N. Ntaliakouras, G. Vonitsanos, A. Kanavos, E. Dritsas, An Apache Spark Methodology for Forecasting Tourism
Demand in Greece, 2019 10th International Conference on Information, Intelligence, Systems and
Applications (IISA), PATRAS, Greece, 2019, pp. 1-5, doi: 10.1109/IISA.2019.8900739
4. G. Vonitsanos, A. Kanavos, A. Mohasseb, D. Tsolis, A NoSQL Approach for Aspect Mining of Cultural Heritage
Streaming Data, 2019 10th International Conference on Information, Intelligence, Systems and
Applications (IISA), PATRAS, Greece, 2019, pp. 1-4. doi: 10.1109/IISA.2019.8900770
[C26] R. Nikopoulou, I. Vernikos, E. Spyrou, Ph. Mylonas, Emotion Recognition from Speech: A Classroom Experiment,
PErvasive Technologies Related to Assistive Environments (PETRA 2018), June 2018, Corfu, Greece
[C27] Y. Voutos, Ph. Mylonas, E. Spyrou, E. Charou, An IoT-based insular monitoring architecture for smart viticulture,
IEEE International Conference on Information, Intelligence, Systems and Applications, 2018, July 2018,
Zakynthos, Greece
(Citations: 1)
1. K. Sabanci, S. E. Rusen, A.Konuralp, Design of a low cost automatic meteorological weather station, Journal of
Engineering Research and Applied Science, Volume 8 (2), December 2019, pp. 1153-1159
[C28] M. Korakakis, E. Spyrou, Ph. Mylonas, A survey on political event analysis in Twitter, 12th International
Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2017)
(Citations: 2)
1. A. Tulasi, K. Gupta, O. Gurjar, S. S. Buggana, P. Mehan, A. B. Buduru, P. Kumaraguru, Catching up with
trends: The changing landscape of political discussions on twitter in 2014 and 2019, Vol. 1, No. 1, Article .
Publication date: September 2019
2. M. C. Cuervo, M. A. V. Guerrero, Predicción electoral usando un modelo híbrido basado en análisis sentimental
y seguimiento a encuestas: elecciones presidenciales de Colombia, REVISTA POLITÉCNICA, Año 15, Número
30, páginas 94-104, Julio-Diciembre 2019
[C29] G. Drakopoulos, A. Kanavos, D. Tsolis, Ph. Mylonas, S. Sioutas, Towards A Framework For Tensor Ontologies
Over Neo4j: Representations And Operations, IEEE International Conference on Information, Intelligence,
Systems and Applications, 28-30 August 2017, Larnaca, Cyprus
(Citations: 4)
1. G. Drakopoulos, E. Kafeza, H. Al Katheeri, Proof Systems In Blockchains: A Survey,
https://www.researchgate.net/profile/Georgios_Drakopoulos/publication/334683761_Proof_Systems
_In_Blockchains_A_Survey/links/5d39eeeb92851cd04686af13/Proof-Systems-In-Blockchains-A-
Survey.pdf, 4th South-East Europe Design Automation, Computer Engineering, Computer Networks
and Social Media Conference (SEEDA-CECNSM 2019), Athens, Greece, 20-22 September 2019
2. G. Drakopoulos, P. Gourgaris, A. Kanavos, Graph communities in Neo4j, Evolving Systems (2018),
https://doi.org/10.1007/s12530-018-9244-x
3. S. Ferilli, D. Redavid, An ontology and a collaborative knowledge base forhistory of computing, Carlo Meghini,
Antonella Poggi (eds.): Proceedings of ODOCH 2019 – Open Data and Ontologies for Cultural
Heritage– Rome, Italy, 3 June 2019
4. S. Ferilli, D. Redavid, An Ontology and Knowledge Graph Infrastructure for Digital Library Knowledge
Representation, In: Ceci M., Ferilli S., Poggi A. (eds) Digital Libraries: The Era of Big Data and Data
Science, IRCDL 2020, Communications in Computer and Information Science, vol 1177. Springer, Cham
[C30] G. Drakopoulos, F. Stathopoulou, G. Tzimas, M. Paraskevas, Ph. Mylonas, S. Sioutas, A Genetic Algorithm
For Discovering Linguistic Communities In Spatiosocial Tensors With An Application To Trilingual Luxembourg,
18th International Conference on Engineering Applications of Neural Networks, 25-27 August 2017, Athens,
Greece
[C31] C. S. Kyrkou, Ph. Mylonas, E. Spyrou, S. Sioutas, A. Rapti, D. Tsolis, Evaluating Clustering Algorithms on a
Multimedia Metadata Dataset, 20th Pan-Hellenic Conference on Informatics (PCI 2016), Patras, Greece, 10-12
November 2016
[C32] E. Spyrou, A. Psallas, V. Charalampidis, Ph. Mylonas, Discovering Areas of Interest using a Semantic Geo-
Clustering Approach, 5th Mining Humanistic Data Workshop (MHDW 2016), in conjunction with AIAI 2016,
Thessaloniki, Greece, September 2016
[C33] I. Karydis, S. Sioutas, M. Avlonitis, Ph. Mylonas, A. Kanavos, A Survey on Big Data and Collective Intelligence,
2nd International Workshop on Algorithmic Aspects of Clouc Computing (ALGOCLOUD 2016), Aarhus,
Denmark, August 2016
(Citations: 3)
1. G. K. Awal, K. K. Bharadwaj, Harnessing Collective Intelligence Through Pattern Mining in Social
Computational Systems, Handbook of Research on Pattern Engineering System Development for Big Data
Analytics, V. Tiwari, R. S. Thakur, B. Tiwari, S. Gupta (eds.), Advances in Systems Analysis, Software
Engineering, and High Performance Computing, IGI Global, DOI: 10.4018/978-1-5225-3870-7.ch007,
March 2018
2. F. Cronemberger, J. Ramon Gil-Garcia, Big Data and Analytics as Strategies to Generate Public Value in
Smart Cities: Proposing an Integrative Framework, In: Rodriguez Bolivar M. (eds) Setting Foundations for
the Creation of Public Value in Smart Cities. Public Administration and Information Technology, vol 35.
Springer, Cham, pp. 247-267
3. M. Ivanović, A. Klašnja-Milićević, Big data and collective intelligence, International Journal of Embedded
Systems, Volume 11, Issue 5, DOI: 10.1504/IJES.2019.102430, 2019
[C34] M. Korakakis, Ph. Mylonas, E. Spyrou, Xenia: A Context Aware Tour Recommendation System Based on Social
Network Metadata Information, 11th International Workshop on Semantic and Social Media Adaptation and
Personalization, October 20-21, 2016, Thessaloniki, Greece, October 2016
(Citations: 4)
1. L. McInnes and J. Healy, Accelerated Hierarchical Density Clustering, arXiv:1705.07321v2 [stat.ML] 23 May
2017, May 2017
2. M. Mao, J. Lu, J. Han, G. Zhang, Multiobjective E-commerce Recommendations based on Hypergraph Ranking,
Information Sciences, 2018.
3. K. D. Mukhina, A. A. Visheratin, D. Nasonov, L. Manovich, Intelligent sightseeing in immensely manifold
cities: case of 2018 FIFA world cup host cities, LocalRec '19 Proceedings of the 3rd ACM SIGSPATIAL
International Workshop on Location-based Recommendations, Geosocial Networks and
Geoadvertising, Chicago, Illinois — November 05, 2019
4. K. U. Khan, A. Alam, B. Dolgorsuren, M. A. Uddin, M. Umair, U. Sang, V. T. T. Duong, W. Xu, Y.-K.
Lee, LPaMI: A Graph-Based Lifestyle Pattern Mining Application Using Personal Image Collections in
Smartphones, Applied Sciences, 7 (12), November 2017
[C35] Ph. Mylonas, Exploring the notion of context in medical data, 2nd World Congress on Genetics, Geriatrics and
Neurodegenerative Diseasese Research, GeNeDis 2016, Sparta, Greece, 20-23 October 2016
[C36] Ph. Mylonas, Types of contextual information in the social networks era, 11th International Workshop on
Semantic and Social Media Adaptation and Personalization, October 20-21, 2016, Thessaloniki, Greece,
October 2016
(Citations: 2)
1. H. Li, S. Zhang,Y. Hu, J. Shi, Z.-m. Zhong, Research of social recommendation based on social tag and trust
relation, Cluster Computing, pp. 1–11, June 2017
4. N. Senthil Murugan, G. Usha Devi, Detecting spams in social networks using ML algorithms – a review, Int. J.
Environment and Waste Management, Vol. 21, No. 1, 2018
[C37] S. Christopoulou, T. Kotsilieris, I. Anagnostopoulos, C.-N. Anagnostopoulos, Ph. Mylonas, vhMentor: An
ontology supported mobile agent system for pervasive health care monitoring, 2nd World Congress on Genetics,
Geriatrics and Neurodegenerative Diseasese Research, GeNeDis 2016, Sparta, Greece, 20-23 October 2016
[C38] S. Sioutas, Ph. Mylonas, A. Panaretos, P. Gerolymatos, D. Vogiatzis, E. Karavaras, T. Spitieris, A. Kanavos,
Survey of machine learning algorithms on Spark over DHT-based Structures, 2nd International Workshop on
Algorithmic Aspects of Clouc Computing (ALGOCLOUD 2016), Aarhus, Denmark, pp. 146-156, August
2016
(Citations: 2)
1. Q. Song, S. Guo, X. Liu, Y. Yang, CSI Amplitude Fingerprinting Based NB-IoT Indoor Localization, IEEE
Internet of Things Journal ( Volume: PP, Issue: 99 ), 12 December 2017
2. E. Dritsas, I. E. Livieris, K. Giotopoulos, L. Theodorakopoulos, An Apache Spark Implementation for Graph-
based Hashtag Sentiment Classification on Twitter, In Proceedings of ACM 21th Panellenic Conference on
Informatics (PCI’18), Nov. 2018
[C39] A. Vlachostergiou, G. Stratogiannis, G. Siolas, G. Caridakis, Ph. Mylonas, Pervasive semantic representation
and integration of context-aware homes in context sensitive cities, 1st Workshop on Artificial Intelligence and
Internet of Things (AI-IoT), in conjunction with SETN 2016, Thessaloniki, 18 May 2016
(Citations: 1)
1. T. Kiliç, E. Bayir, An Investigation on Internet of Things Technology (IoT) In Smart Houses, International
Journal of Engineering Research and Development, Volume 9, Issue 3, December 2017
[C40] G. Stratogiannis, A. Vlachostergiou, G. Siolas, G. Caridakis, Ph. Mylonas, A. Stafylopatis, S. Kollias, User and
home appliances pervasive interaction in a sensor driven Smart Home environment: the SandS approach, 10th
International Workshop on Semantic and Social Media Adaptation and Personalization, November 5-6,
2015, Trento, Italy.
(Citations: 3)
1. S. R. Akbar, M. T. Handono, A. Basuki, Design of Pervasive Discovery, Service and Control for Smart Home
Appliances: An Integration of Raspberry Pi, UPnP Protocols and Xbee, International Journal of Electrical and
Computer Engineering (IJECE), Vol. 7, No. 2, pp. 1012~1022, April 2017
2. J. Bennett, O. Rokas and L. Chen, Healthcare in the Smart Home: A Study of Past, Present and Future,
Sustainability 2017, 9(5), 840; doi:10.3390/su9050840, 2017
3. D. Dahnelt, P. Steensen, M. Zachow, Entwicklung und Untersuchung eines Systems für Action-Fotografie,
Mensch und Computer, 2017, Tagungsband, Gesellschaft für Informatik, Workshopband, Gesellschaft
für Informatik, Usability Professionals
[C41] E. Spyrou, I. Sofianos and Ph. Mylonas, Mining Tourist Routes from Flickr Photos, 10th International
Workshop on Semantic and Social Media Adaptation and Personalization, pp. 1-5, November 5-6, 2015,
Trento, Italy.
(Citations: 4)
1. T. Bandara, T. P. Bandara, Whale watching in Sri Lanka: Understanding the metadata of crowd-sourced
photographs on FlickrTM social media platform, Sri Lanka J. Aquat. Sci. 24(2) (2019): 41-52,
http://doi.org/10.4038/sljas.v24i2.7566
2. A. R. Silva, Market segmentation and travelling patterns based on Tourist’s paths in the Porto Region,
Dissertation in Marketing, Porto, Portugal, September 15, 2017
3. P. Mehta, Spatial, Temporal, and Textual Retrieval and Analysis of Geotagged Posts, Ph.D. Thesis, Freie
Universität Berlin, 2017
4. R. de Michele, M. Furini and M. Montangero, "Crowd-sensing Images to Understand Citizens'
Emotions, Issues and Interests," IEEE INFOCOM 2019 - IEEE Conference on Computer
Communications Workshops (INFOCOM WKSHPS), Paris, France, 2019, pp. 566-571.doi:
10.1109/INFCOMW.2019.8845162
[C42] A. Vlachostergiou, G. Stratogiannis, G. Caridakis, G. Siolas, Ph. Mylonas, Smart home context awareness based
on Smart and Innovative Cities, 2nd Workshop on Innovative European Policies and Applied Measures for
De-veloping Smart Cities (IPMSC2015), in conjunction with EANN 2015, Rhodes, Greece, 25-28 September
2015
(Citation: 1)
1. M. C. Weiss, Smart cities: an overview on the research agenda in information technology, 15th International
Conference on Information Systems & Technology Management - CONTECSI, 2018
[C43] Ph. Mylonas, An overview of context types within multimedia and social computing, 4th Mining Humanistic Data
Workshop (MHDW 2015) in conjunction with 16th EANN Conference, Rhodes, Greece, September 2015
[C44] E. Spyrou, Ph. Mylonas, An overview of Flickr challenges and research opportunities, 9th International Workshop
on Semantic and Social Media Adaptation and Personalization, Corfu, Greece, November 6-7th, 2014
(Citations: 4)
1. J. L. Stienmetz, Foundations for a network model of destination value creation, Ph.D. Thesis, Temple
University, 2016, 243 pages, http://gradworks.umi.com/10/19/10194210.html
2. A. Silva, P. Campos, C. Ferreira, 2019, Sequence and Network Mining of Touristic Routes Based on Flickr
Geotagged Photos, In: Moura Oliveira P., Novais P., Reis L. (eds), Progress in Artificial Intelligence, EPIA
2019, Lecture Notes in Computer Science, vol 11805, Springer, Cham
3. A. D. Dondekar, B. A. Sonkamble, Tag Recommendation Techniques for Images: A Survey, International
Journal of Signal Processing Systems Vol. 5, No. 4, December 2017
4. A. R. Silva, Market segmentation and travelling patterns based on Tourist’s paths in the Porto Region,
Dissertation in Marketing, Porto, Portugal, September 15, 2017
[C45] E. Spyrou, Ph. Mylonas, A survey of geo-tagged multimedia content analysis within Flickr, 3rd Mining
Humanistic Data Workshop (MHDW 2014), in conjuction with AIAI 2014, Rhodes, Greece, September 19-21,
2014
[C46] M. Korakakis, E. Magkos, Ph. Mylonas, Automated CAPTCHA Solving: An Empirical Comparison of Selected
Techniques, 9th International Workshop on Semantic and Social Media Adaptation and Personalization,
Corfu, Greece, November 6-7th, 2014
(Citations: 8)
1. M. Campobasso, P. Burda, L. Allodi, CARONTE: Crawling Adversarial Resources Over Non-Trusted, High-
Profile Environments, IEEE European Symposium on Security and Privacy Workshops (EuroS&PW
2019), Stockholm, Sweden, 17-19 June 2019
2. M. Guerar, A. Merlo, M. Migliardi, Completely Automated Public Physical test to tell Computers and Humans
Apart: A usability study on mobile devices, Future Generation Computer Systems, March 2017, DOI:
http://dx.doi.org/10.1016/j.future.2017.03.012
3. M. Guerar, M. Migliardi, A. Merlo, M. Benmohammed, B. Messabih, A Completely Automatic Public
Physical test to tell Computers and Humans Apart: A way to enhance authentication schemes in mobile devices,
International Conference on High Performance Computing & Simulation, pp. 203-210, Amsterdam, The
Netherlands, 20-24 July 2015
4. P. Lu, L. Shan, J. Li, X. Liu, A new segmentation method for connected characters in CAPTCHA, in 2015
International Conference on Control, Automation and Information Sciences (ICCAIS), pp. 128-131, 29-31
Oct. 2015
5. I. Pardosi, P. Sirait, M. Oktando, W. Wilham, Pengenalan Captcha Dengan Multivalued Image Decomposition
Dan Vector Space Image Recognition, JSM STMIK Mikroskil, Vol 17, No 2, October 2016
6. A. R. Preethi, M. Gayathri, P. Jayasri, J. J. Sarah, Authentication system in social networks, 2019,
International Research Journal of Engineering and Technology(IRJET), e-ISSN: 2395-0056, Volume 06,
Issue 03, Mar. 2019
7. M. Guerar, M. Migliardi, A. Merlo, M. Benmohammed, F. Palmieri, A. Castiglione, Using Screen
Brightness to Improve Security in Mobile Social Network Access, IEEE Transactions on Dependable and
Secure Computing, Vol. 15, No. 4, July/August 2018
8. M. Guerar, A. Merlo, M. Migliardi, F. Palmieri, Invisible CAPPCHA: A usable mechanism to distinguish
between malware and humans on the mobile IoT, Computers & Security, Volume 78, 2018, Pages 255-266
[C47] P. Alexopoulos, Ph. Mylonas, Towards Vagueness-Oriented Quality Assessment of Ontologies, 8th Hellenic
Conference on Artificial Intelligence, SETN 2014, Ioannina, Greece, May 2014
(Citations: 1)
1. X. Lei, Research Advances in Ontology Evaluation, Journal of the China Society for Scientific and
Technical Information, 2016, 35 (7), 10.3772 / j.issn.1000-0135.2016.007.011
[C48] G. Siolas, G. Caridakis, Ph. Mylonas, S. Kollias, A. Stafylopatis, Context-Aware User Modeling and Semantic
Interoperability in Smart Home Environments, 8th International Workshop on Semantic and Social Media
Adaptation and Personalization (SMAP 2013), pp. 27-32, Bayonne, France, 12-13 December, 2013
(Citations: 3)
1. S. Inzunza, R. Juárez-Ramírez, A. Ramírez-Noriega, User and Context Information in Context-Aware
Recommender Systems: A Systematic Literature Review, New Advances in Information Systems and
Technologies, Volume 444, Advances in Intelligent Systems and Computing, pp. 649-658, Springer,
2016, 978-3-319-31231-6
2. S. Inzunza, R. Juárez-Ramírez, A Comprehensive Context-Aware Recommender System Framework, In:
Sanchez M., Aguilar L., Castañón-Puga M., Rodríguez-Díaz A. (eds.), Computer Science and
Engineering—Theory and Applications. Studies in Systems, Decision and Control, vol 143, pp. 1-24,
Springer, Cham, 2018
3. S., Inzunza, R. Juárez-Ramírez, S. Jiménez, G. Licea, GUMCARS: General User Model for Context-Aware
Recommender Systems, Computing and Informatics, vol. 37, no.5, pp. 1149-1183, DOI:
https://doi.org/10.4149/cai_2018_5_1149, 1 September 2018
[C49] G. Caridakis, G. Siolas, Ph. Mylonas, S. Kollias, B. Apolloni, M. Fiasche, G. Galliani, C. Zizzo, M. Grana
Romay, F. Barrientos, S. San Jose Alonso, Smart domestic environments hosting social users: the SandS paradigm
from a user's perspective, eChallenges e-2013 Conference, Dublin, Ireland, 9 - 11 October 2013
[C50] I. Anagnostopoulos, G. Razis, Ph. Mylonas, C.-N. Anagnostopoulos, Query Expansion through On-line Social
Microblogging Services, 2nd Mining Humanistic Data Workshop (MHDW 2013) in conjunction with EANN
2013, Halkidiki, Greece, 13-16 September, 2013
[C51] G. Caridakis, G. Siolas, Ph. Mylonas, S. Kollias, A. Stafylopatis, Intelligent and adaptive pervasive Future Inter-
net: Smart cities for the citizens, 1st Workshop on Innovative European Policies and Applied Measures for
Developing Smart Cities (IPMSC 2013), in conjunction with EANN 2013, Chalkidiki, Greece, September 13-
16, 2013
[C52] Ph. Mylonas, G. Siolas, G. Caridakis, S. Kollias, A. Stafylopatis, Modeling context and fuzzy personas towards an
intelligent Future Internet smart home paradigm, Intelligent Users, Intelligent Cities Workshop, in conjuction
with the 9th International Conference on Intelligent Environments, IE '13, July 2013
[C53] I. Anagnostopoulos, V. Kollias, Ph. Mylonas, Socio-semantic query expansion using Twitter hashtags, 7th
International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2012),
Luxembourg, Luxembourg, pp. 29-34, December 3-4, 2012
(Citations: 7)
1. K. Giannakis, T. Andronikos, Querying Linked Data and Büchi Automata, 9th International Workshop on Semantic and
Social Media Adaptation and Personalization (SMAP 2014), pp. 110-114, 6-7 November 2014, Corfu, Greece
2. A. Kanavos, I. E. Livieris, Fuzzy Information Diffusion in Twitter by Considering User's Influence, International
Journal on Artificial Intelligence Tools, World Scientific Publishing, December 3, 2019
3. M. Bendella, M. Quafafou, Expansion de requêtes à base de motifs et de plongements de mots pour améliorer la recherche de
microblogs, COnférence en Recherche d'Information et Applications, Lyon, France, March 2019
4. A. Paul, Identifying Relevant Information for Emergency Services from Twitter in Response to Natural Disaster, Ph.D.
Thesis, Queensland University of Technology, http://eprints.qut.edu.au/89220/1/Avijit_Paul_Thesis.pdf, 2015
5. G. Poghosyan, G. Ifrim, Real-time News Story Detection and Tracking with Hashtags, 2nd Workshop on Computing
News Storylines, Austin, Texas, USA, November 5, 2016
6. R. A.Sinoara, J. Camacho-Collados, R. G. Rossi, R. Navigli, S. O.Rezende, Knowledge-enhanced document embeddings
for text classification, Knowledge-Based Systems, 21 October 2018
7. T. Xiaobo, F. Xiaoke, A Query Expansion Method for Micro-blog,
http://124.16.154.130:8080/lis/fileup/PDF/20140122.pdf, 58, (1) DOI:10.13266/j.issn.0252-3116.2014.01.01, 2014
[C54] E. Spyrou, Ph. Mylonas, From Tags to Trends: A First Glance at Social Media Content Dynamics, 1st Mining
Humanistic Data Workshop (MHDW 2012) in conjunction with 8th AIAI Conference, Halkidiki, Greece,
September 27-30, 2012
[C55] P. Alexopoulos, J. Pavlopoulos, Ph Mylonas, Learning vague knowledge from socially generated content in an
enterprise framework, 1st Mining Humanistic Data Workshop (MHDW 2012) in conjunction with 8th AIAI
Conference, Halkidiki, Greece, September 27-30, 2012
[C56] M. Wallace, P. Alexopoulos, Ph. Mylonas, Identifying Conceptual Layers in the Ontology Development Process,
7th Hellenic Conference on Artificial Intelligence (SETN 2012), Lamia, Greece, May 28-31, 2012
[C57] Ph. Mylonas, Understanding How Visual Context Influences Multimedia Content Analysis Problems, 7th Hellenic
Conference on Artificial Intelligence (SETN 2012), Lamia, Greece, May 28-31, 2012
[C58] E. Spyrou, Ph. Mylonas, Placing User-Generated Photo Metadata on a Map, 6th International Workshop on
Semantic media adaptation (SMAP 2011), Vigo, Spain, December 1-2, 2011
(Citations: 1)
1. Zuzana Kucharikova and Jakub Simko, Visual Pollution Localization through Crowdsourcing and Visual Similarity
Clustering, 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 9-
10 July 2017, Bratislava, Slovakia
[C59] I. Mavridis, A.-I. Androulakis, A. Ηalkias, Ph. Mylonas, Real-life paradigms of wireless network security attacks,
PCI 2011 15th Pan-Hellenic Conference on Informatics, pp. 112-116, Kastoria, 30 September - 2 October 2011
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3. A. K. Dalai, S. K. Jena, WDTF: A Technique for Wireless Device Type Fingerprinting, Wireless Personal
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4. O. A. Dawood, O. I. Hammadi, T. Kh. Asman, Developing a New Secret Symmetric Algorithm for Securing Wireless
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5. L. Ge , L. Wang, L. Xu, S. Yang, Password Recovery for WPA/WPA2-PSK Based on Parallel Random Search with GPU,
Wireless Communications, Networking and Applications, Volume 348, Lecture Notes in Electrical Engineering, pp.
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6. L. Ge, L. Wang, L. Xu, A Method for Cracking the Password of WPA2-PSK Based on SA and HMM, 3rd International
Conference on Information Science and Control Engineering, ICISCE 2016
7. T. S. Gunawan, M. K. Lim, M. Kartiwi, N. A. Malik, N. Ismail, Penetration Testing using Kali Linux: SQL Injection,
XSS, Wordpres, and WPA2 Attacks, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 12, No.
2, November 2018, pp. 729~737, ISSN: 2502-4752, DOI: 10.11591/ijeecs.v12.i2., pp 729-737
8. J. Krekan, L. Dobos, M. Pleva, Accelerated GPU Powered Methods for Auditing Security of Wireless Networks Using
Probabilistic Password Generation, Journal of Electrical and Electronics Engineering, Vol. 5, Issue 1, p.111-114, May
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9. J. Krekan, M. Pleva, L. Dobos, Security Audit of WLAN Networks Using Statistical Models of Specified Language Group,
Journal of Electrical and Electronics Engineering, 6(1), pp. 47-50, 2013
10. J. Krekan, M. Pleva, L. Dobos, Statistical models based password candidates generation for specified language used in
wireless LAN security audit, in Systems, Signals and Image Processing (IWSSIP), 2013 20th International Conference
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12. P. H. Latha, R. Vasantha, Review of Existing Security Protocols Techniques and their Performance Analysis in WLAN,
International Journal of Emerging Technologies in Computational and Applied Sciences, 7 (2), December 2013-
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13. P. H. Latha, R. Vasantha, SAKGP: Secure Authentication Key Generation Protocol in WLAN, International Journal of
Computer Applications (0975 – 8887), Volume 96– No.7, June 2014
14. Q. Lu, R. Jiang, Y. Ouyang, H. Qu, J. Zhang, BiRe: A Client-side Bi-directional SYN Reflection Mechanism against Multi-
model Evil Twin Attacks, Computers & Security, Elsevier, 2019, https://doi.org/10.1016/j.cose.2019.101618
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Communications Conference (MILCOM), http://www.cs.ucf.edu/~czou/research/Omar-Milcom-2015.pdf, 2015
16. O. Nakhila, Masquerading Techniques in IEEE 802.11 Wireless Local Area Networks, Doctoral Dissertation, University of
Central Florida, 2018
17. M. M. Noor, W. H. Hassan, Current Threats of Wireless Networks, 3rd International Conference on Digital Information
Processing and Communications (ICDIPC2013), Dubai, UAE, pp. 704-713, January 30 - February 1, 2013
18. M. M. Noor, W. H. Hassan, Wireless Networks: Developments, Threats and Countermeasures, International Journal of
Digital Information and Wireless Communications (IJDIWC), Volume 3, Issue 1, pp. 119-134, 2013
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20. M. A. Bejarano Quijano, Propuesta para el mejoramiento de la seguridad y el rendimiento del espectro de las redes
inalámbricas que son parte de los planes del servicio de valor agregado de internet en banda ancha y cable modem de 3 ISPS con
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21. C. Rani, H. Modares, R. Sriram, D. Mikulski, F. L. Lewis, Security of unmanned aerial vehicle systems against cyber-
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22. P. M. Rathod, V. V. Parode, R. R. Keole, Security limitations and challenges in wireless networks, International Journal of
Electronics, Communication & Soft Computing Science and Engineering, ISSN: 2277-9477, Volume 2, Issue 1, April
2012
23. S. S. Tale, P. A. Tolia, Security Challenges in Wireless Networks, MPGI National Multi Conference 2012 (MPGINMC-
2012), Recent Trends in Computing, Proceedings published by International Journal of Computer Applications
(IJCA), ISSN: 0975 - 8887, April 7-8, 2012
24. M. Thapa, Mitigating Threats in IoT Network using Device Isolation, Master's Thesis, Aalto University, Espoo, February
04, 2018
25. A. Tsitroulis, D. Lampoudis, E. Tsekleves, Exposing WPA2 security protocol vulnerabilities, International Journal of
Information and Computer Security, Volume 6, Number 1/2014, pp. 93-107, Inderscience, 2014
26. K. Vilius, L. Liu, J. Panneerselvam, T. Stimpson, A Critical Analysis of the Efficiencies of Emerging Wireless Security
Standards Against Network Attacks, 2015 International Conference on Intelligent Networking and Collaborative
Systems (INCOS), Taipei, Taiwan, pp. 472-477, September 2015
27. Z. Zhang, Y. Li, C. Wang, M. Wang, Y. Tu, J. Wang, An Ensemble Learning Method for Wireless Multimedia Device
Identification, Hindawi, Security and Communication Networks, Volume 2018, Article ID 5264526, 9 pages, October
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28. Q. Xu, R. Zheng, W. Saad and Z. Han, Device Fingerprinting in Wireless Networks: Challenges and Opportunities, IEEE
Communications Surveys & Tutorials, Volume: 18, Issue: 1, 2015
29. J. B. Yu, A. Q. Hu, C. M. Zhu, L. N. Peng, Y. Jiang, "RF fingerprinting extraction and identification of wireless
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[C60] Y. Kalantidis, E. Spyrou, Ph. Mylonas, S. Kollias, Using a Region and Visual Word Approach Towards Semantic
Image Retrieval, 5th Workshop on Semantic Media Adaptation and Personalization (SMAP 2010), Limassol,
Cyprus, 9-10 December 2010
[C61] S. Papadopoulos, C. Zigkolis, G. Tolias, Y. Kalantidis, Ph. Mylonas, Y. Kompatsiaris and A. Vakali, Image
clustering through community detection on hybrid image similarity graphs, 17th IEEE International Conference on
Image Processing (ICIP 2010), pp. 2353-2356, Hong-Kong, Hong-Kong, September 26-29, 2010
(Citations: 18)
1. A. Afandi, I. S. Isa, S. N. Sulaiman, N. N. M. Marzuki, N. K. A. Karim, Comparison of Different Image Segmentation
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Mandal J., So-In C., Thakur N. (eds) Smart Trends in Computing and Communications. Smart Innovation, Systems
and Technologies, vol 165. Springer, Singapore
2. C.-H. Chen, Y. Takama, Classification of Season-Dependent Sightseeing Spots using Statistical Features Obtained from
Metadata, The Third International Workshop on Advanced Computational Intelligence and Intelligent Informatics,
Shanghai, China, October 18-21, 2013
3. C.-H. Chen, Y. Takama, Hybrid Approach of Situation-Oriented Classification of Sightseeing Spot Images Based on Visual
and Tag Information, Journal of Information Science and Engineering, pp. 619-635, 2014
4. C.-H. Chen, Y. Takama, Hybrid Approach of Using Visual and Tag Information for Situation-Oriented Clustering of
Sightseeing Spot Images, Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012), pp. 256-
261, 16-18 November 2012
5. C. H. Chen, Y. Takama, Situation-oriented clustering of sightseeing spot images using visual and tag information, 2012 Joint
6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium
on Ad-vanced Intelligent Systems (ISIS), pp. 416 - 421, 20-24 November 2012
6. D.-T. Dang-Nguyen, G. Boato, A. Moschitti, F. G. B. De Natale, Supervised models for multimodal image retrieval based
on visual, semantic and geographic information, pp. 1-5, 10th International Workshop on Content-Based Multimedia
Indexing (CBMI), 27-29 June 2012
7. Y. Gu, X. Qian, Q. Li, M. Wang, R. Hong, Q. Tian, Image Annotation by Latent Community Detection and Multi-Kernel
Learning, IEEE Transactions on Image Processing, Volume: 24, Issue: 11, Nov. 2015,
http://dx.doi.org/10.1109/TIP.2015.2443501.
8. M. A. Javed, M. S. Younis, S. Latif, J. Qadir, A. Baig, Community detection in networks: A multidisciplinary review,
Journal of Network and Computer Applications, Elsevier, 24 February 2018
9. A. Khan, L. Golab, M. Kargar, J. Szlichta, M. Zihayat, Compact group discovery in attributed graphs and social networks,
Information Processing & Management, 22 June 2019
10. C.-S. Ock, K. Kim, H.-G. Cho, Improvement of SURF-Based Photo Clustering using RANSAC Post-processing, Advanced
Science and Technology Letters, Information Science and Technology(Part 2), Volume 3, ISSN: 2287-1233, 2012
11. L. Pang, J. Cao, L. Bao, Y. Zhang and Sh. Lin, Towards hierarchical context: unfolding visual community potential for
interactive video retrieval, Multimedia Tools and Applications, DOI: 10.1007/s11042-010-0605-0, 2010
12. S. Papadopoulos, C. Zigkolis, S. Kapiris, Y. Kompatsiaris, A. Vakali, ClustTour: city exploration by use of hybrid photo
clustering, Proceedings of the international conference on Multimedia, ACM Multimedia, Florence, Italy, 25-29
October 2010
13. S. Papadopoulos, C. Zigkolis, Y. Kompatsiaris, A. Vakali, Cluster-Based Landmark and Event Detection for Tagged Photo
Collections, IEEE Multimedia, Volume 18, Issue 1, pp. 52 – 63, January 2011
14. C. Papagiannopoulou and V. Mezaris, Concept-based Image Clustering and Summarization of Event-related Image
Collections, In Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from
Multimedia (HuEvent '14), ACM, New York, NY, USA, pp. 23-28, 2014
15. S. Suresh, M. Shobana, Enhancing Information Retrieval using Concept- Based Mining Model with Feature Extraction and
Clustering, International Journal of Advanced Research in Computer Science and Electronics Engineering
(IJARCSEE), Volume 2, Issue 4, April 2013
16. X. Wangming, L. Xinhai, F. Kangling, Content-based image clustering via multi-view visual vocabularies, 31st Chinese
Control Conference (CCC), pp. 3974-3977, Hefei, China, 25-27 July 2012
17. Q. Yin, S. Wu, L. Wang, Partially tagged image clustering, In Proceedings of the International Conference on Image
Processing (ICIP), Quebec City, Canada, http://www.cripac.ia.ac.cn/People/sw/Yin2015PTIC.pdf, 27-30
September 2015
18. J. Zhang, F. Pan, B. Dong, Q. Zhao, Y. Yan, A Novel Discriminative Method for Pronunciation Quality Assessment, IEICE
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8532, May 1, 2013
[C62] E. Spyrou, Y. Kalantidis and Ph. Mylonas, Exploiting a region-based visual vocabulary towards efficient concept
retrieval, EVENTS 2010 - Recognising and tracking events on the Web and in real life, in conjunction with
The 6th Hellenic Conference on Artificial Intelligence (SETN 2010), Athens, Greece, May 4, 2010
(Citations: 1)
1. S. Gordea, An Image Similarity Search for the European Digital Library and Beyond, International Conference
on Theory and Practice of Digital Libraries, TPDL 2013, pp. 190-196, Valletta, Malta, September 22-26,
2013
[C63] E. Spyrou, Y. Kalantidis, G. Tolias, Ph. Mylonas and S. Kollias, Intelligent Content Retrieval using a Visual
Vocabulary and Geometric Constraints, FUZZ-2IEEE 2010, in conjunction with The 2010 IEEE World Congress
on Computational Intelligence (IEEE WCCI 2010), Barcelona, Spain, July 18-23, 2010
(Citations: 2)
1. E. Spyrou, D. K. Iakovidis, Homography-Based Orientation Estimation for Capsule Endoscope Tracking, IEEE International
Conference on Imaging Systems and Techniques, Manchester, UK, July 2012
2. E. Spyrou, D. K. Iakovidis, Video-based measurements for wireless capsule endoscope tracking, Measurement Science and
Technology, 25, 2014
[C64] Ph. Mylonas, Y. Avrithis, Y. Kompatsiaris, WeKnowIt: Emerging, Collective Intelligence for Personal,
Organizational and Social Use, 40th Annual Conference of Association of Sound and Audiovisual Archives
(IASA-HeNAA 2009), Athens, Greece, September 20-25, 2009
(Citations: 2)
1. D. Despotakis, D. Thakker, L. Lau and V. Dimitrova, Capturing the semantics of individual viewpoints on social signals in
interpersonal communication, Semantic Web Journal, Special Issue on Personal and Social Semantic Web, 2011
2. D. Despotakis, Modelling Viewpoints in User Generated Content, Thesis, The University of Leeds, August 2013
[C65] Y. Kalantidis, G. Tolias, E. Spyrou, Ph. Mylonas, Y. Avrithis, Visual Image Retrieval and Localization, 7th
International Workshop on Content-Based Multimedia Indexing (CBMI 2009), Chania, Greece, June 3-5,
2009
(Citations: 5)
1. G. Erinc, S. Carpin, Evaluation criteria for appearance based maps, Proceedings of Performance Metrics for Intelligent
Systems (PerMIS'10) Workshop, Baltimore, U.S.A., 28-30 September 2010
2. T. Holotyak, S. Voloshynovskiy, O. Koval, F. Beekhof, Trading-off privacy-complexity of identification problem, In:
Proceedings of SPIE Photonics West, Electronic Imaging, Media Forensics and Security XIII, 2011
3. T. Holotyak, S. Voloshynovskiy, O. Koval, F. Beekhof, Trading-off performance and complexity in identification,
Proceedings of SPIE 7880, 78800O (2011), San Francisco, California, USA, 24 January 2011
4. T. Holotyak, Information-theoretic analysis of privacy-preserving identification, Thèse de doctorat : Univ. Genève, 2012,
no. Sc. 4418
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[C66] Y. Kalantidis, G. Tolias, E. Spyrou, Ph. Mylonas, Y. Avrithis, S. Kollias, Visual Image Retrieval and Localization,
3ο Πανελλήνιο Συνέδριο Φοιτητών Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Thessaloniki,
Greece, April 10-11, 2009
[C67] E. Spyrou, G. Tolias, Ph. Mylonas, A relation-based contextual approach for efficient multimedia analysis, 3rd
International Workshop on Semantic Media Adaptation and Personalization (SMAP 2008), Prague, Czech
Republic, December 15-16, 2008
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1. S. Rafatirad, A. Gupta, R. Jain, Composing Events, Technical Report ESL.UCI.EDU-TR 2010/5/25,
http://esl.ics.uci.edu/docs/ECO-Final-TR.pdf, 25 May 2010
[C68] G. Tolias, E. Spyrou, P. Kapsalas, Ph. Mylonas, Y. Avrithis et al., COST292 experimental framework for
TRECVID 2008, 6th TRECVID Workshop, Gaithersburg, U.S.A., November 17-18, 2008
(Citations: 5)
1. G. Laboreiro, I. Pimenta Rodrigues, WordNet as a Symbolic Free Text Classifier,
http://dsie.fe.up.pt/site/docs/gustavolaboreiro, Porto, Portugal, February 2009
2. A. Moumtzidou, A. Dimou, N. Gkalelis, S. Vrochidis, V. Mezaris, Y. Kompatsiaris, ITI-CERTH participation to
TRECVID 2010, 22 October 2010
3. A. Moumtzidou, A. Dimou, P. King, S. Vrochidis, A. Angeletou, V. Mezaris, S. Nikolopoulos, I. Kompatsiaris, L.
Makris, ITI-CERTH participation to TRECVID 2009 HLFE and Search, October 2009
4. S. Vrochidis, Y. Kompatsiaris, I. Patras, Optimizing visual search with implicit user feedback in interactive video retrieval,
Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR 2010), 2010
5. S. Vrochidis, I. Patras, Y. Kompatsiaris, An eye-tracking-based approach to facilitate interactive video search, Proceedings
of the 1st ACM International Conference on Multimedia Retrieval (ICMR '11), 2011
[C69] E. Spyrou, G. Tolias, Ph. Mylonas and Y. Avrithis, A Semantic Multimedia Analysis Approach Utilizing a Region
Thesaurus and LSA, 9th International Workshop on Image Analysis for Multimedia Interactive Services
(WIAMIS 2008), Klagenfurt, Austria, May 7-9, 2008
(Citations: 3)
1. E. Spyrou, Y. Avrithis, Detection of High-Level Concepts in Multimedia, Encyclopedia of Multimedia, 2nd Edition, pp.
151-158, Springer, 2008
2. Yulong Gao, Yuanqing Xia, Suichao Wu, Jianan Qiao, Solution to Gang Crime based on Graph Theory and Analytical
Hierarchy Process, Neurocomputing, 28 April 2014
3. Wang Yi, Liu Zhi-min, Liu Chun-di, Jiang Hong-liang, Li Xin-xing, Application Research on Video Phone
Technology in College Art Education, Modern Educational Technology, 2014, 24(10), doi: 10.3969/j.issn.1009-
8097.2014.10.011, November 2014
[C70] E. Spyrou, Ph. Mylonas and Y. Avrithis, Using Region Semantics And Visual Context For Scene Classification,
1st ICIP Workshop on Multimedia Information Retrieval: New Trends and Challenges, San Diego,
California, U.S.A., pp. 53–56, October 12, 2008
(Citations: 5)
1. W. Kim, J. Park, C. Kim, A Novel Method for Efficient Indoor–Outdoor Image Classification, Journal of Signal Processing
Systems: 1–8, 2010
2. Y. Liu, J. Zhang, D. Tjondronegoro, S. Geva, Z. Li, Mid-level concept learning with visual contextual ontologies and
probabilistic inference for image annotation, 16th International Multimedia Modeling Conference on Advances in
Multimedia Modeling - MMM 2010, October 6-8, 2010
3. Y. Liu, J. Zhang, D. Tjondronegoro, S. Geva, Z. Li, Mid-level concept learning with visual contextual ontologies and
probabilistic inference for image annotation, Lecture Notes in Computer Science (including subseries Lecture Notes in
Artificial Intelligence and Lecture Notes in Bioinformatics), Advances in Multimedia Modeling, Volume 5916 LNCS,
2009, Pages 229-239
4. J. Molina, V. Mezaris, P. Villegas, G. Tolias, E. Spyrou, N. Sofou, J. Rodríguez-Benito, G. Papadopoulos, S.
Nikolopoulos, J. M. Martínez, I. Kompatsiaris, P. Kapsalas, A. Dimou, E. Bru, Y. Avrithis, T. Adamek, MESH
participation to TRECVID2008 HLFE, TRECVID 2008
5. L. Yuee, Ontology-based image annotation, Thesis, Queensland University of Technology,
http://eprints.qut.edu.au/39611, 2010
[C71] Ph. Mylonas, V. Solachidis, A. Geyer-Schulz, B. Hoser, S. Chapman, F. Ciravegna, S. Staab, P. Smrz, Y.
Kompatsiaris and Y. Avrithis, Efficient Media Exploitation towards Collective Intelligence, 32nd Annual Conf. of
the German Classification Society (GfKL-2008), Hamburg, Germany, July 16-18, 2008
(Citations: 1)
1. J. Berri, Towards a Framework for Collective Intelligence, 5th International Conference on Digital Information
Management (ICDIM 2010), pp. 454-459, Thunder Bay, Ontario, Canada, 5-8 July 2010
[C72] V. Solachidis, Ph. Mylonas, A. Geyer-Schulz, B. Hoser, S. Chapman, F. Ciravegna, S. Staab, C. Contopoulos,
I. Gkika, P. Smrz, Y. Kompatsiaris, Y. Avrithis, Generating Collective Intelligence, 32nd Annual Conf. of the
German Classification Society, Hamburg, Germany, July 16-18, 2008
(Citations: 2)
1. V. Lanfranchi, N. Ireson, User requirements for a collective intelligence emergency response system, Proceedings of the
23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology,
Cambridge, United Kingdom, pp. 198-203, 2009
2. J. Berri, Towards a framework for Collective Intelligence, 5th International Conference on Digital Information
Management (ICDIM), pp. 454 – 459, Thunder Bay, Ontario, Canada, 5-8 July 2010
[C73] E. Spyrou, Ph. Mylonas and Y. Avrithis, A Visual Context Ontology for Multimedia High-Level Concept
Detection, 5th International Workshop in Modeling and Reasoning in Context (MRC), Held at HCP 08, Delft,
The Netherlands, June 9-12, 2008
(Citations: : 1)
1. N. Elleuch, A. B. Ammar, A. M. Alimi, A generic framework for semantic video indexing based on visual con-
cepts/contexts detection, Multimedia Tools and Applications, April 2014
[C74] Ph. Mylonas, A fuzzy contextual approach towards intelligent educational content adaptation, 2nd International
Workshop on Semantic Media Adaptation and Personalization (SMAP 2007), London, United Kingdom,
December 17-18, 2007
(Citations: 1)
1. M. Suryani and Z. A. Hasibuan, The Study of Dynamic Delivery Adaptive Learning Content in E-
learning Personalization Using Text Mining and Ontology Approach, 2013 International Conference on
Advanced Computer Science and Information Systems (ICACSIS 2013), pp. 21-26, Bali, 28-29 Sept.
2013
[C75] Ph. Mylonas, E. Spyrou and Y. Avrithis, High-Level Concept Detection based on Mid-level Semantic Information
and Contextual Adaptation, 2nd International Workshop on Semantic Media Adaptation and Personalization
(SMAP 2007), London, United Kingdom, December 17-18, 2007
(Citations: 3)
1. L. Lin, G. Ravitz, M.-L. Shyu, S.-C. Chen, Correlation-based Video Semantic Concept Detection using Multiple
Correspondence Analysis, Tenth IEEE International Symposium on Multimedia (ISM2008), 2008, pp. 316-321
2. G. Ravitz, L. Lin, M.-L. Shyu, M. Armella, S.-C. Chen, Florida International University and University of Miami
TRECVID 2008 - High Level Feature Extraction
3. L. Yuee, Ontology-based image annotation, Thesis, Queensland University of Technology,
http://eprints.qut.edu.au/39611, 2010
[C76] Ph. Mylonas, E. Spyrou, and Y. Avrithis, Enriching a context ontology with mid-level features for semantic
multimedia analysis, 1st Workshop on Multimedia Annotation and Retrieval enabled by Shared Ontologies,
co-located with SAMT 2007, Genoa, Italy, December 5-7, 2007
(Citations: 2)
1. E. Spyrou, Y. Avrithis, Detection of High-Level Concepts in Multimedia, Encyclopedia of Multimedia, Part 4, pp. 151-
158, DOI: 10.1007/978-0-387-78414-4_16, 2008
2. Y. Liu, J. Zhang, D. Tjondronegoro, S. Geva, Z. Li, Mid-level concept learning with visual contextual ontologies and
probabilistic inference for image annotation, Lecture Notes in Computer Science (including subseries Lecture Notes in
Artificial Intelligence and Lecture Notes in Bioinformatics),Volume 5916 LNCS, 2009, Pages 229-239
[C77] Ph. Mylonas, N. Simou, V. Tzouvaras and Y. Avrithis, Towards Semantic Multimedia Indexing by Classification
& Reasoning on Textual Metadata, Knowledge Acquisition from Multimedia Content Workshop, co-located
with SAMT 2007, Genoa, Italy, December 5-7, 2007
(Citations: 5)
1. S. Dasiopoulou, I. Kompatsiaris, M. G. Strintzis, Using Fuzzy DLs to Enhance Semantic Image Analysis, Lecture Notes
in Computer Science, Springer, Berlin/Heidelberg, [ISSN: 0302-9743], Volume 5392/2008, Semantic Multimedia, pp.
31-46, 2008
2. S. Dasiopoulou, I. Kompatsiaris, M. G. Strintzis, Investigating fuzzy DLs-based reasoning in semantic image analysis,
Multimedia Tools and Applications, Springer, Netherlands, [ISSN: 1380-7501], Volume 49, Issue 1, pp. 167-194,
August 2010
3. S. Dasiopoulou, I. Kompatsiaris, M. G. Strintzis, Using Fuzzy DLs to Enhance Semantic Image Analysis, Conference on
Semantic and Digital Media, 2008
4. S. Dasiopoulou, I. Kompatsiaris, M. G. Strintzis, Investigating Fuzzy Reasoning in Semantic Image Analysis
5. N. Vitucci, M. Arrigoni Neri, G. Gini, Using f-SHIN to represent objects: an aid to visual grasping, First Workshop on
Uncertainty in Description Logics, associated with IJCAR 2010, 16-19 July 2010
[C78] Q.Zhang, ..., E. Spyrou, P. Kapsalas, G. Tolias, Ph. Mylonas Y. Avrithis, et al., The COST292 experimental
framework for TRECVID 2007, 5th TRECVID Workshop, Gaithersburg, U.S.A., November 5-6, 2007
(Citations: 6)
1. E. Ardizzone, M. La Cascia, F. Vella, Unsupervised Clustering in Personal Photo Collections, Adaptive Multimedia
Retrieval. Identifying, Summarizing, and Recommending Image and Music, Lecture Notes in Computer Science,
Volume 5811/2010, 140-154, DOI: 10.1007/978-3-642-14758-6_12, 2010
2. X.-S. Hua, G.-J. Qi, Online multi-label active annotation: towards large-scale content-based video search, 16th ACM
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25. Z. Liang, Y. Jun, L. Haifeng, Q. Haibo, An Improved Ontology-Based User Interest Model, Modern Applied Science,
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27. C.-C. Lo, C. Chi-hua, C. Ding-yuan, K. Ting-huan, K. Hsu-yang, A semantic web methodology for situation-aware
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43. D. Yoo, Hybrid query processing for personalized information retrieval on the Semantic Web, Knowledge-Based Systems,
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15. D. Lancheros-Cuesta, A. Carrillo-Ramos, J. A. Pavlich-Mariscal, Kamachiy – Mayistru: adaptive module to support
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25. J. Yong, Workflow-based e-Learning Platform, Proceedings of the Ninth International Conference on Computer
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26. P. Zhang, B. Li, Q. Bai, The Design of E-learning Platform Based on 3G Mobile Phone, 2008 International Conference on
Computer Science and Software Engineering, pp. 725-728, 12-14 December 2008
27. P. Zhang, B. Li, Z. Huang, M. Shen, J. Liu, Research of Temperature Measuring Virtual Instrument Based on Smart Mobile
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[C100] P. Tzouveli, Ph. Mylonas and S. Kollias, SPERO - A personalized integrated e-learning system, International
Association for Development of the Information Society (IADIS) WWW/Internet 2004 International
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2. U. Markowska-Kaczmar, H. Kwasnicka and M. Paradowski, Intelligent Techniques in Personalization of Learning in e-
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3. P. Sasikala, E. R. Naganathan, Implementation of personalization in web usage mining using fuzzy logic, International
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[C101] M. Wallace, G. Akrivas, Ph. Mylonas, Y. Avrithis, S. Kollias, Using context and fuzzy relations to interpret
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ΣΥΝΟΛΟ ΕΤΕΡΟ-ΑΝΑΦΟΡΩΝ ΣΥΝΕΔΡΙΩΝ: 361 ΕΝΗΜΕΡΩΣΗ ΕΝΟΤΗΤΑΣ: 03. 2020
(TOTAL CITATIONS SUM - CONFERENCES: 361) (SECTION LAST UPDATED: 03.2020)
ΣΥΝΟΨΗ
(SUMMARY)
o ΕΤΕΡΟ-ΑΝΑΦΟΡΕΣ ΣΥΝΕΔΡΙΩΝ (03.2020):
361
o ΕΤΕΡΟ-ΑΝΑΦΟΡΕΣ ΒΙΒΛΙΩΝ (03.2020):
137
o ΕΤΕΡΟ-ΑΝΑΦΟΡΕΣ ΠΕΡΙΟΔΙΚΩΝ & ΕΚΔΟΣΕΩΝ (03.2020):
652
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