• A. Papadakis and E. Spyrou, “A multimodal egocentric activity recognition approach towards video domain generalization”. Sensors, 24(8), 2491 MDPI, DOI: https://doi.org/10.3390/s24082491
  •  I. Vernikos, E. Spyrou, I.A. Kostis, E. Mathe and Ph. Mylonas, “A Deep Regression Approach for Human Activity Recognition Under Partial Occlusion”. International Journal of Neural Systems, 33(9), 2350047,World Scientific, 2023, DOI: https://10.1142/S0129065723500028
  • I. Vernikos, T. Spyropoulos, E. Spyrou and Ph. Mylonas, “Human Activity Recognition in Presence of Occlusion”. Sensors, 23(10), 4899, MDPI, 2023 DOI: https://doi.org/10.3390/s23104899
  • T. Psallidas and E. Spyrou, Video Summarization based on Feature Fusion and Data Augmentation. Computers, 12(9), 186 MDPI, 2023, DOI: https://doi.org/10.3390/computers12090186
  • D. Koutrintzes, E. Spyrou, E. Mathe and Ph. Mylonas, “A Multimodal Fusion Approach for Human Activity Recognition”. International Journal of Neural Systems, 33(1), 2350002, World Scientific, 2022, DOI: https://10.1142/S0129065723500028
  • G. Pikramenos, E. Spyrou and S. Perantonis, “Extending Partial Domain Adaptation Algorithms to the Open-set Setting”. Applied Sciences, 12(19), 10052 MDPI,2022, DOI: https://doi.org/10.3390/app121910052
  • M. Savelonas,I. Vernikos, D. Mantzekis, E. Spyrou, A. Tsakiri and S. Karkanis, “Hybrid Representation of Sensor Data for the Classification of Driving Behaviour”. Applied Sciences, 11(18), 8574 MDPI, 2022 I, DOI: https://doi.org/10.3390/app11188574
  • T. Psallidas, P. Koromilas, T. Giannakopoulos and E. Spyrou, “Multimodal summarization of user-generated videos”. Applied Sciences, 11(11), 5260, MDPI, 2021, DOI: https://doi.org/10.3390/app11115260
  • E. Spyrou, E. Mathe, G. Pikramenos, K. Kechagias and Ph. Mylonas, “Data Augmentation vs Domain Adaptation: a case study in Human Activity Recognition”. Technologies, 8(4), 55, MDPI 2020, DOI: https://doi.org/10.3390/technologies8040055
  • G. Pikramenos, E. Mathe, E. Vali, I. Vernikos, A. Papadakis, E. Spyrou and Ph. Mylonas,”An Adversarial Semi-Supervised Approach to Action Recognition from Pose Information”. Neural Computing and Applications, 32, pp. 17181-17195, Springer,2020 DOI: https://doi.org/10.1007/s00521-020-05162-5
  • E. Mathe and E. Spyrou, “User Evaluation of Low-cost, Non-invasive Methods for Heart-Rate Measurement”. Journal of Usability Studies, vol.15, issue 3, UXPA, 2020 URL: https://uxpajournal.org/user-evaluation-heart-rate-measurement/
  • G. Paraskevopoulos, E. Spyrou, D. Sgouropoulos, Th. Giannakopoulos and Ph. Mylonas, “Real-Time Arm Gesture Recognition using 3D Skeleton Joint Data”. Algorithms, 12(5), 108, MDPI, 2019 DOI: https://doi.org/10.3390/a12050108
  • E. Spyrou, R. Nikopoulou, I. Vernikos and Ph. Mylonas, “Emotion Recognition from Speech Using the Bag-of-Visual Words on Audio Segment Spectrograms”. Technologies 2019, 7(1), 20, MDPI, 2019 , DOI: https://doi.org/10.3390/technologies7010020
  • M. Vasilakakis, D. Iakovidis,E. Spyrou and A. Koulaouzidis,” DINOSARC: Color Features based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy”. Computational and Mathematical Methods in Medicine, Vol. 2018, Article ID 2026962, Hindawi, 2018, DOI: https://doi.org/10.1155/2018/2026962
  • N. Vretos, P. Daras, S. Asteriadis, E. Hortal, E. Ghaleb, E. Spyrou, H. C. Leligou, P. Karkazis, P. Trakadas, K. Assimakopoulos, “Exploiting sensing devices availability in AR/VR deployments to foster engagement”. Virtual Reality, Springer,2018, DOI: https://doi.org/10.1007/s10055-018-0357-0
  • M. Vasilakakis, D. Diamantis, E. Spyrou, A. Koulaouzidis and D. Iakovidis, “Weakly Supervised Multilabel Classification for Semantic Interpretation of Endoscopy Video Frames”. Evolving Systems, Springer, 2018, DOI: http://dx.doi.org/10.1007/s12530-018-9236-x
  • Y. Voutos, Ph. Mylonas, E. Spyrou and E. Charou, “A Social Environmental Sensor Network Integrated within a Web GIS Platform”. Journal of Sensor and Actuator Networks, 6(4), 27, MDPI, 2017, DOI: http://dx.doi.org/10.3390/jsan6040027
  • G. Dimas, E. Spyrou, D. Iakovidis, and A. Koulaouzidis, “Intelligent Visual Localization of Wireless Capsule Endoscopes Enhanced by Color Information”. Computers in Biology and Medicine, vol. 89, pp. 429-440, Elsevier, 2017, DOI: https://doi.org/10.1016/j.compbiomed.2017.08.029
  • M. Korakakis, E. Spyrou, Ph. Mylonas and S.J. Perantonis, “Exploiting social media information towards a context-aware recommendation system”. Social Network Analysis and Mining 7(1), 42, Springer, 2017, DOI: http://doi.org/10.1007/s13278-017-0459-9
  • M. Papakostas, E. Spyrou, T. Giannakopoulos, G. Siantikos, D. Sgouropoulos, Ph. Mylonas and F. Makedon, “Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion Recognition”. Computation 5(2), 26, MDPI, 2017, DOI: http://dx.doi.org/10.3390/computation5020026
  • E. Spyrou, M. Korakakis, V. Charalampidis, A. Psallas and Ph. Mylonas, “A Geo-Clustering Approach for the Detection of Areas-of-Interest and their Underlying Semantics”. Algorithms 10(1), 35, MDPI, 2017, DOI: http://dx.doi.org/10.3390/a10010035
  • E. Spyrou and Ph. Mylonas, “A survey on Flickr multimedia research challenges”. Engineering Applications of Artificial Intelligence , vol. 51, pp. 71–91 Elsevier, 2016, DOI: http://dx.doi.org/10.1016/j.engappai.2016.01.006
  • E. Spyrou and Ph. Mylonas, “Analyzing Flickr metadata to extract location-based information and semantically organize its photo content”. Neurocomputing, vol. 172, pp. 114–133, Elsevier, 2016, DOI: http://dx.doi.org/10.1016/j.neucom.2014.12.104
  • E. Spyrou, D. Iakovidis, S. Niafas and A. Koulaouzidis, “Comparative Assessment of Feature Extraction Methods for Visual Odometry in Wireless Capsule Endoscopy”. Computers in Biology and Medicine, vol. 65, pp. 297–307, Elsevier, 2015 , DOI: http://dx.doi.org/10.1016/j.compbiomed.2015.05.013
  • A. Koulaouzidis, D.K. Iakovidis and E. Spyrou, “Wireless Capsule Endoscope Localisation Based On Visual Odometry”. Gut, BMJ Publishing Group, vol. 63, suppl 1, p. A44, 2014, DOI: http://dx.doi.org/10.1136/gutjnl-2014-307263.90
  • E. Spyrou} and D.K. Iakovidis, “Video-based measurements for wireless capsule endoscope tracking”. Measurement Science and Technology, IOP Publishing, vol. 25, issue 1, p.015002, 2014, DOI: http://dx.doi.org/10.1088/0957-0233/25/1/015002

G. Tolias, Y. Kalantidis, M. Phinikettos,E. Spyrou, Ph. Mylonas and Y. Avrithis, “VIRaL: Visual Image Retrieval and Localization”. Multimedia Tools and Applications, Springer, vol. 51, no 2, pp. 555–592, 2011,DOI: http://dx.doi.org/10.1007/s11042-010-0651-7

  • E. Spyrou, G. Tolias, Ph. Mylonas and Y. Avrithis, “Concept Detection and Keyframe Extraction Using a Visual Thesaurus”. Multimedia Tools and Applications, Springer, vol. 41, no 3, pp. 337–373, 2009 , DOI: http://dx.doi.org/10.1007/s11042-008-0237-9
  • Ph. Mylonas, E. Spyrou, Y. Avrithis and S. Kollias, “Using Visual Context and Region Semantics for High-Level Concept Detection”. IEEE Transactions on Multimedia, vol. 11, no 2, pp. 229–243, 2009, DOI: http://dx.doi.org/10.1109/TMM.2008.2009681