A Crowdsourcing-based Air Pollution Measurement System Using DIY Atomic Force Microscopes. - Daniel Lopez Martinez; Daniel Lombraña; François Grey; En-Te Hwu (Hum. Comput., 2016)

Multi-task neural networks for personalized pain recognition from physiological signals. - Daniel Lopez Martinez; Rosalind W. Picard (ACII Workshops, 2017)

Multimodal ambulatory sleep detection. - Weixuan Chen; Akane Sano; Daniel Lopez Martinez; Sara Taylor; Andrew W. McHill; Andrew J. K. Phillips; Laura Barger; Elizabeth B. Klerman; Rosalind W. Picard (BHI, 2017)

Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions. - Daniel Lopez Martinez; Ognjen Rudovic; Rosalind W. Picard (CVPR Workshops, 2017)

Regularization approaches for support vector machines with applications to biomedical data. - Daniel Lopez Martinez (CoRR, 2017)

Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning. - Daniel Lopez Martinez; Ognjen Rudovic; Rosalind W. Picard (CoRR, 2017)

Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks. - Daniel Lopez Martinez; Rosalind W. Picard (EMBC, 2018)

Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals. - Daniel Lopez Martinez; Ke Peng; Sarah C. Steele; Arielle J. Lee; David Borsook; Rosalind W. Picard (ICPR, 2018)

Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning. - Daniel Lopez Martinez; Neska El Haouij; Rosalind W. Picard (ACII Workshops, 2019)

Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors. - Daniel Lopez Martinez; Ke Peng; Arielle J. Lee; David Borsook; Rosalind W. Picard (ACII Workshops, 2019)

Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks. - Daniel Lopez Martinez; Patrick Eschenfeldt; Sassan Ostvar; Myles Ingram; Chin Hur; Rosalind W. Picard (EMBC, 2019)

Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. - Akane Sano; Weixuan Chen; Daniel Lopez Martinez; Sara Taylor; Rosalind W. Picard (IEEE J. Biomed. Health Informatics, 2019)

Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data. - Daniel Lopez Martinez; Christina Chen; Ming-Jun Chen (AMAI@MICCAI, 2022)

Instability in clinical risk stratification models using deep learning. - Daniel Lopez Martinez; Alex Yakubovich; Martin Seneviratne; Ádám D. Lelkes; Akshit Tyagi; Jonas Kemp; Ethan Steinberg; N. Lance Downing; Ron C. Li; Keith E. Morse; Nigam H. Shah; Ming-Jun Chen (ML4H@NeurIPS, 2022)

Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data. - Daniel Lopez Martinez; Christina Chen; Mingjun Chen (CoRR, 2022)

Automatic Recognition Methods Supporting Pain Assessment: A Survey. - Philipp Werner; Daniel Lopez Martinez; Steffen Walter 001; Ayoub Al-Hamadi; Sascha Gruss; Rosalind W. Picard (IEEE Trans. Affect. Comput., 2022)