Natasha Jaques
Title
Cited by
Cited by
Year
Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones
A Sano, AJ Phillips, ZY Amy, AW McHill, S Taylor, N Jaques, CA Czeisler, ...
2015 IEEE 12th International Conference on Wearable and Implantable Body …, 2015
1142015
Predicting affect from gaze data during interaction with an intelligent tutoring system
N Jaques, C Conati, JM Harley, R Azevedo
International Conference on Intelligent Tutoring Systems, 29-38, 2014
1082014
Automatic identification of artifacts in electrodermal activity data
S Taylor, N Jaques, W Chen, S Fedor, A Sano, R Picard
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
862015
Predicting students' happiness from physiology, phone, mobility, and behavioral data
N Jaques, S Taylor, A Azaria, A Ghandeharioun, A Sano, R Picard
2015 International Conference on Affective Computing and Intelligent …, 2015
602015
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
N Jaques, S Gu, D Bahdanau, JMH Lobato, RE Turner, D Eck
International Conference on Machine Learning, 2017
532017
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
422019
Personalized multitask learning for predicting tomorrow's mood, stress, and health
SA Taylor, N Jaques, E Nosakhare, A Sano, R Picard
IEEE Transactions on Affective Computing, 2017
412017
Tuning Recurrent Neural Networks with Reinforcement Learning
N Jaques, S Gu, RE Turner, D Eck
International Conference on Learning Representations (ICLR) workshop track, 2016
402016
Understanding attention to adaptive hints in educational games: an eye-tracking study
C Conati, N Jaques, M Muir
International Journal of Artificial Intelligence in Education 23 (1-4), 136-161, 2013
352013
Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction
N Jaques, S Taylor, A Sano, R Picard
2017 Seventh International Conference on Affective Computing and Intelligent …, 2017
332017
Predicting Tomorrow’s Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation
N Jaques, OO Rudovic, S Taylor, A Sano, R Picard
Proceedings of Machine Learning Research 48, 17-33, 2017
292017
Prediction of happy-sad mood from daily behaviors and previous sleep history
A Sano, ZY Amy, AW McHill, AJK Phillips, S Taylor, N Jaques, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
292015
Multi-task, multi-kernel learning for estimating individual wellbeing
N Jaques, S Taylor, A Sano, R Picard
Proc. NIPS Workshop on Multimodal Machine Learning, Montreal, Quebec 898, 2015
282015
Social influence as intrinsic motivation for multi-agent deep reinforcement learning
N Jaques, A Lazaridou, E Hughes, C Gulcehre, PA Ortega, DJ Strouse, ...
International Conference on Machine Learning, 2019
242019
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
N Jaques, A Lazaridou, E Hughes, C Gulcehre, PA Ortega, DJ Strouse, ...
NeurIPS 2018 Emergent Communication workshop, 2018
242018
Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language
N Jaques, D McDuff, YL Kim, R Picard
Intelligent Virtual Agents, 2016
242016
Multi-task Learning for Predicting Health, Stress, and Happiness
N Jaques, S Taylor, E Nosakhare, A Sano, R Picard
NIPS Machine Learning for Health Care Workshop, 2016
202016
Active learning for electrodermal activity classification
V Xia, N Jaques, S Taylor, S Fedor, R Picard
2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2015
172015
Wavelet-based motion artifact removal for electrodermal activity
W Chen, N Jaques, S Taylor, A Sano, S Fedor, RW Picard
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
172015
Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, and Yoshua Bengio. Tackling Climate Change with Machine Learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433 [cs, stat], 2019
132019
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