| Arm Gesture Recognition using a Convolutional Neural Network E Mathe, A Mitsou, E Spyrou, P Mylonas 2018 13th International Workshop on Semantic and Social Media Adaptation and …, 2018 | 19 | 2018 |
| Connecting a Consumer Brain-Computer Interface to an Internet-of-Things Ecosystem E Mathe, E Spyrou Proceedings of the 9th ACM International Conference on PErvasive …, 2016 | 18 | 2016 |
| Recognizing Human Actions Using 3D Skeletal Information and CNNs A Papadakis, E Mathe, I Vernikos, A Maniatis, E Spyrou, P Mylonas International Conference on Engineering Applications of Neural Networks, 511-521, 2019 | 12 | 2019 |
| A deep learning approach for human action recognition using skeletal information E Mathe, A Maniatis, E Spyrou, P Mylonas GeNeDis 2018, 105-114, 2020 | 9 | 2020 |
| A Geometric Approach for Cross-View Human Action Recognition using Deep Learning A Papadakis, E Mathe, E Spyrou, P Mylonas 2019 11th International Symposium on Image and Signal Processing and …, 2019 | 8 | 2019 |
| Assessment of user experience with a commercial BCI device E Mathe, E Spyrou Proc. Hellenic Conf. Electrical and Computer Engineering Students, 2015 | 8 | 2015 |
| An image representation of skeletal data for action recognition using convolutional neural networks. I Vernikos, E Mathe, A Papadakis, E Spyrou, P Mylonas PETRA, 325-326, 2019 | 5 | 2019 |
| Data Augmentation vs. Domain Adaptation—A Case Study in Human Activity Recognition E Spyrou, E Mathe, G Pikramenos, K Kechagias, P Mylonas Technologies 8 (4), 55, 2020 | 3 | 2020 |
| A Novel CNN-LSTM Hybrid Architecture for the Recognition of Human Activities S Stylianou-Nikolaidou, I Vernikos, E Mathe, E Spyrou, P Mylonas International Conference on Engineering Applications of Neural Networks, 121-132, 2021 | 2 | 2021 |
| An adversarial semi-supervised approach for action recognition from pose information G Pikramenos, E Mathe, E Vali, I Vernikos, A Papadakis, E Spyrou, ... Neural Computing and Applications 32 (23), 17181-17195, 2020 | 2 | 2020 |
| A study on the Effect of Occlusion in Human Activity Recognition I Giannakos, E Mathe, E Spyrou, P Mylonas The 14th PErvasive Technologies Related to Assistive Environments Conference …, 2021 | 1 | 2021 |
| User Evaluation of Low-Cost, Non-Invasive Methods for Heart-Rate Measurement. E Mathe, E Spyrou Journal of Usability Studies 15 (3), 2020 | 1 | 2020 |
| The VISOR project: Virtual coachIng Services for OldeR adults E Spyrou, E Mathe, I Vernikos, P Dedousis, A Vlachou, P Mylonas 2019 4th South-East Europe Design Automation, Computer Engineering, Computer …, 2019 | 1 | 2019 |
| Fusing Handcrafted and Contextual Features for Human Activity Recognition I Vernikos, E Mathe, E Spyrou, A Mitsou, T Giannakopoulos, P Mylonas 2019 14th International Workshop on Semantic and Social Media Adaptation and …, 2019 | 1 | 2019 |
| A Deep Hybrid Architecture for Human Activity Recognition S Stylianou-Nikolaidou, I Vernikos, E Mathe, E Spyrou The 14th PErvasive Technologies Related to Assistive Environments Conference …, 2021 | | 2021 |
| Skeleton geometric transformation for human action recognition using convolutional neural networks A Papadakis, I Vernikos, E Mathe, E Spyrou Proceedings of the 13th ACM International Conference on PErvasive …, 2020 | | 2020 |
| Human action recognition with deep learning techniques E Mathe, A Tranou, E Spyrou, S Perantonis Proceedings of the 13th ACM International Conference on PErvasive …, 2020 | | 2020 |
| User Evaluation of Unobtrusive Methods for Heart-Rate Measurement E Mathe, E Spyrou Proceedings of the 11th PErvasive Technologies Related to Assistive …, 2018 | | 2018 |
| Smartphones'-OS Apps and Medical Disciplines serving Mobile-Health. B Spyropoulos, M Bania, E Mathe, ST Miloulis, G Tziokas, KI Proestos, ... AMIA https://knowledge.amia.org/amia-63300-1.3360278/t005-1.3362920/f005-1 …, 2016 | | 2016 |
| Human Activity Recognition under Partial Occlusion IA Kostis, E Mathe, E Spyrou, P Mylonas | | |
Evaggelos SpyrouAssistant Professor, Department of Computer Science and Telecommunications, University of ThessalyEmail verificata su uth.gr
