| Deep visual attributes vs. hand-crafted audio features on multidomain speech emotion recognition M Papakostas, E Spyrou, T Giannakopoulos, G Siantikos, ... Computation 5 (2), 26, 2017 | 69 | 2017 |
| Speech-music discrimination using deep visual feature extractors M Papakostas, T Giannakopoulos Expert Systems with Applications 114, 334-344, 2018 | 57 | 2018 |
| Cognilearn: A deep learning-based interface for cognitive behavior assessment S Gattupalli, D Ebert, M Papakostas, F Makedon, V Athitsos Proceedings of the 22nd International Conference on Intelligent User …, 2017 | 39 | 2017 |
| Physical fatigue detection through EMG wearables and subjective user reports: a machine learning approach towards adaptive rehabilitation M Papakostas, V Kanal, M Abujelala, K Tsiakas, F Makedon Proceedings of the 12th ACM international conference on pervasive …, 2019 | 33 | 2019 |
| Grounding the meaning of words through vision and interactive gameplay N Parde, A Hair, M Papakostas, K Tsiakas, M Dagioglou, V Karkaletsis, ... Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 29 | 2015 |
| A Deep Learning Approach Towards Multimodal Stress Detection. CP Bara, M Papakostas, R Mihalcea AffCon@ AAAI, 67-81, 2020 | 28 | 2020 |
| A survey of assistive technologies for assessment and rehabilitation of motor impairments in multiple sclerosis A Rajavenkatanarayanan, V Kanal, K Tsiakas, D Calderon, M Papakostas, ... Multimodal Technologies and Interaction 3 (1), 6, 2019 | 27* | 2019 |
| Cogbeacon: A multi-modal dataset and data-collection platform for modeling cognitive fatigue M Papakostas, A Rajavenkatanarayanan, F Makedon Technologies 7 (2), 46, 2019 | 25 | 2019 |
| An interactive multisensing framework for personalized human robot collaboration and assistive training using reinforcement learning K Tsiakas, M Papakostas, M Theofanidis, M Bell, R Mihalcea, S Wang, ... Proceedings of the 10th international conference on pervasive technologies …, 2017 | 24 | 2017 |
| Short-term recognition of human activities using convolutional neural networks M Papakostas, T Giannakopoulos, F Makedon, V Karkaletsis 2016 12th international conference on signal-image technology & internet …, 2016 | 23 | 2016 |
| Towards predicting task performance from EEG signals M Papakostas, K Tsiakas, T Giannakopoulos, F Makedon 2017 IEEE International Conference on Big Data (Big Data), 4423-4425, 2017 | 21 | 2017 |
| Recognizing emotional states using speech information M Papakostas, G Siantikos, T Giannakopoulos, E Spyrou, ... GeNeDis 2016: Geriatrics, 155-164, 2017 | 21 | 2017 |
| Towards detecting levels of alertness in drivers using multiple modalities K Riani, M Papakostas, H Kokash, M Abouelenien, M Burzo, R Mihalcea Proceedings of the 13th ACM International Conference on PErvasive …, 2020 | 17 | 2020 |
| Detection and recognition of driver distraction using multimodal signals K Das, M Papakostas, K Riani, A Gasiorowski, M Abouelenien, M Burzo, ... ACM Transactions on Interactive Intelligent Systems 12 (4), 1-28, 2022 | 15 | 2022 |
| Muser: Multimodal stress detection using emotion recognition as an auxiliary task Y Yao, M Papakostas, M Burzo, M Abouelenien, R Mihalcea arXiv preprint arXiv:2105.08146, 2021 | 15 | 2021 |
| Distracted and drowsy driving modeling using deep physiological representations and multitask learning M Papakostas, K Das, M Abouelenien, R Mihalcea, M Burzo Applied Sciences 11 (1), 88, 2020 | 14 | 2020 |
| Monitoring breathing activity and sleep patterns using multimodal non-invasive technologies M Papakostas, J Staud, F Makedon, V Metsis Proceedings of the 8th ACM International Conference on PErvasive …, 2015 | 14 | 2015 |
| Towards designing a socially assistive robot for adaptive and personalized cognitive training K Tsiakas, C Abellanoza, M Abujelala, M Papakostas, T Makada, ... Proceedings of the Robots 4, 2017 | 13 | 2017 |
| An interactive learning and adaptation framework for adaptive robot assisted therapy K Tsiakas, M Papakostas, B Chebaa, D Ebert, V Karkaletsis, F Makedon Proceedings of the 9th ACM International Conference on PErvasive …, 2016 | 12 | 2016 |
| A survey of sensing modalities for human activity, behavior, and physiological monitoring A Lioulemes, M Papakostas, SN Gieser, T Toutountzi, M Abujelala, ... Proceedings of the 9th ACM International Conference on PErvasive …, 2016 | 10 | 2016 |
Theodoros GiannakopoulosPrincipal Researcher NCSR Demokritos / Director of Machine Learning at Behavioral SignalsVerified email at iit.demokritos.gr
