Emotion recognition using wearables: A systematic literature review-work-in-progress S Saganowski, A Dutkowiak, A Dziadek, M Dzieżyc, J Komoszyńska, ... 2020 IEEE international conference on pervasive computing and communications …, 2020 | 80 | 2020 |
Can we ditch feature engineering? end-to-end deep learning for affect recognition from physiological sensor data M Dzieżyc, M Gjoreski, P Kazienko, S Saganowski, M Gams Sensors 20 (22), 6535, 2020 | 57 | 2020 |
Consumer wearables and affective computing for wellbeing support S Saganowski, P Kazienko, M Dziezyc, P Jakimow, J Komoszynska, ... MobiQuitous 2020-17th EAI International Conference on Mobile and Ubiquitous …, 2020 | 37 | 2020 |
Review of consumer wearables in emotion, stress, meditation, sleep, and activity detection and analysis S Saganowski, P Kazienko, M Dziezyc, P Jakimów, J Komoszynska, ... arXiv preprint arXiv:2005.00093 1, 2020 | 26 | 2020 |
How to catch them all? enhanced data collection for emotion recognition in the field M Dzieżyc, J Komoszyńska, S Saganowski, M Boruch, J Dziwiński, ... 2021 IEEE international conference on pervasive computing and communications …, 2021 | 13 | 2021 |
Effectiveness of research grants funded by European research council and polish national science centre M Dzieżyc, P Kazienko Journal of Informetrics 16 (1), 101243, 2022 | 12 | 2022 |
Komoszy nska S Saganowski, P Kazienko, M Dziezyc, P Jakimów J, 0 | 7 | |
Evaluating the Effectiveness of Research Grants with Journal Bibliometrics. M Oleksy, P Kazienko, M Dziezyc BIR@ ECIR, 101-112, 2023 | | 2023 |