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Maciej Dzieżyc
Maciej Dzieżyc
QuantUp
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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
692020
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
402020
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
302020
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, 2020
202020
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
122021
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
92022
Komoszy nska
S Saganowski, P Kazienko, M Dziezyc, P Jakimów
J, 0
6
Evaluating the Effectiveness of Research Grants with Journal Bibliometrics
M Oleksy, P Kazienko, M Dzieżyc
2023
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Artículos 1–8