Predicting levels of rapport in dyadic interactions through automatic detection of posture and posture congruence JL Hagad, R Legaspi, M Numao, M Suarez 2011 IEEE Third International Conference on Privacy, Security, Risk and …, 2011 | 38 | 2011 |
Learning subject-generalized topographical EEG embeddings using deep variational autoencoders and domain-adversarial regularization JL Hagad, T Kimura, K Fukui, M Numao Sensors 21 (5), 1792, 2021 | 17 | 2021 |
Deep visual models for EEG of mindfulness meditation in a workplace setting JL Hagad, K Fukui, M Numao Precision Health and Medicine: A Digital Revolution in Healthcare, 129-137, 2020 | 12 | 2020 |
Modeling multi-target detection and gravitation by intelligent self-organizing bioparticles S Iwasaki, J Yang, AO Abraham, JL Hagad, T Obuchi, T Nakano 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 9 | 2016 |
Multimodal stability-sensitive emotion recognition based on brainwave and physiological signals N Thammasan, JL Hagad, K Fukui, M Numao 2017 seventh international conference on affective computing and intelligent …, 2017 | 8 | 2017 |
Modeling work stress using heart rate and stress coping profiles JL Hagad, K Moriyama, K Fukui, M Numao Principles and Practice of Multi-Agent Systems: International Workshops …, 2016 | 7 | 2016 |
Modelling naturalistic work stress using spectral HRV representations and deep learning JL Hagad, K Fukui, M Numao Advances in Artificial Intelligence: Selected Papers from the Annual …, 2020 | 2 | 2020 |
Performance optimization of self-organizing bioparticles for multi-target detection and gravitation problems J Yang, S Iwasaki, A Abraham, JL Hagad, T Obuchi, T Nakano 10th EAI International Conference on Bio-inspired Information and …, 2017 | 1 | 2017 |
Building Robust Deep Models of Stress-Related Psycho-Physiological Signals JLM Hagad 大阪大学, 2021 | | 2021 |
Analyzing the effect of video media on emotion using a VR headset platform and physiological data H Uraji, T Emsawas, JL Hagad, K Fukui, M Numao Theory and Practice of Computation, 151-158, 2019 | | 2019 |
A Hierarchical Model of Authentic Work Stress Using Physiological Signals and Stress Coping Profiles HJ Lorenzo 人工知能学会全国大会論文集 第 30 回 (2016), 3E34-3E34, 2016 | | 2016 |
Detecting Work-related Stress using Physiological Signals and Psychological Stress-Coping Profiles JL Hagad, K Moriyama 人工知能学会全国大会論文集 第 29 回 (2015), 1C44-1C44, 2015 | | 2015 |