Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data
Dzieżyc, M.; Gjoreski, M.; Kazienko, P.; Saganowski, S.; Gams, M. Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. Sensors 2020, 20, 6535. https://doi.org/10.3390/s20226535
Dzieżyc M, Gjoreski M, Kazienko P, Saganowski S, Gams M. Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. Sensors. 2020; 20(22):6535. https://doi.org/10.3390/s20226535
Chicago/Turabian StyleDzieżyc, Maciej, Martin Gjoreski, Przemysław Kazienko, Stanisław Saganowski, and Matjaž Gams. 2020. "Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data" Sensors 20, no. 22: 6535. https://doi.org/10.3390/s20226535