Ghandeharioun, Asma

Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors

Pedrelli, P., Fedor, S., Ghandeharioun, A., Howe, E., Ionescu, D. F., Bhathena, D., Fisher, L. B., Cusin, C., Nyer, M., Yeung, A., et al. (2020) · Frontiers in Psychiatry

Digital Mental Health InterventionsMental Health Research Topics

Cited by 158

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Jaques, N., Ghandeharioun, A., Shen, J. H., Ferguson, C., Lapedriza, A., Jones, N., Gu, S., & Picard, R. (2019) · arXiv

Reinforcement Learning in RoboticsSpeech and dialogue systems

Cited by 126

EMMA: an emotion-aware wellbeing chatbot

Ghandeharioun, A., McDuff, D., Czerwinski, M., & Rowan, K. (2019) · 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)

Digital Mental Health InterventionsEmotion and Mood Recognition

Cited by 126

Objective assessment of depressive symptoms with machine learning and wearable sensors data

Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., & Picard, R. (2017) · 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 116

Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models

Hase, P., Bansal, M., Kim, B., & Ghandeharioun, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 33

Post Hoc Explanations of Language Models Can Improve Language Models

Krishna, S., Ma, J., Slack, D., Ghandeharioun, A., Singh, S., & Lakkaraju, H. (2023) · Advances in Neural Information Processing Systems 36

Explainable Artificial Intelligence (XAI)Natural Language Processing Techniques

Cited by 2