Daniel Lopez Martinez

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 23

Top Topics

Multitask Learning

Dirichlet Process

Physiological Signals

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Philipp Werner, Daniel Lopez Martinez, Steffen Walter, Ayoub Al-Hamadi, Sascha Gruss, Rosalind W. Picard
Automatic Recognition Methods Supporting Pain Assessment: A Survey. IEEE Trans. Affect. Comput. 13 (1) (2022)
Daniel Lopez Martinez, Christina Chen, Ming-Jun Chen
Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data. AMAI@MICCAI (2022)
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
Instability in clinical risk stratification models using deep learning. CoRR (2022)
Daniel Lopez Martinez, Christina Chen, Mingjun Chen
Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data. CoRR (2022)
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
Instability in clinical risk stratification models using deep learning. ML4H@NeurIPS (2022)
Daniel Lopez Martinez, Neska El Haouij, Rosalind W. Picard
Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning. ACII Workshops (2019)
Daniel Lopez Martinez, Ke Peng, Arielle J. Lee, David Borsook, Rosalind W. Picard
Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors. ACII Workshops (2019)
Daniel Lopez Martinez, Patrick Eschenfeldt, Sassan Ostvar, Myles Ingram, Chin Hur, Rosalind W. Picard
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks. EMBC (2019)
Daniel Lopez Martinez, Patrick Eschenfeldt, Sassan Ostvar, Myles Ingram, Chin Hur, Rosalind W. Picard
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks. CoRR (2019)
Daniel Lopez Martinez, Neska El Haouij, Rosalind W. Picard
Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning. CoRR (2019)
Akane Sano, Weixuan Chen, Daniel Lopez Martinez, Sara Taylor, Rosalind W. Picard
Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Daniel Lopez Martinez, Ke Peng, Arielle J. Lee, David Borsook, Rosalind W. Picard
Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors. CoRR (2019)
Daniel Lopez Martinez, Rosalind W. Picard
Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks. EMBC (2018)
Daniel Lopez Martinez, Ke Peng, Sarah C. Steele, Arielle J. Lee, David Borsook, Rosalind W. Picard
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals. ICPR (2018)
Daniel Lopez Martinez, Ke Peng, Sarah C. Steele, Arielle J. Lee, David Borsook, Rosalind W. Picard
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals. CoRR (2018)
Daniel Lopez Martinez, Rosalind W. Picard
Multi-task neural networks for personalized pain recognition from physiological signals. ACII Workshops (2017)
Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning. CoRR (2017)
Daniel Lopez Martinez
Regularization approaches for support vector machines with applications to biomedical data. CoRR (2017)
Daniel Lopez Martinez, Rosalind W. Picard
Multi-task Neural Networks for Personalized Pain Recognition from Physiological Signals. CoRR (2017)
Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions. CoRR (2017)
Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard
Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions. CVPR Workshops (2017)
Weixuan Chen, Akane Sano, Daniel Lopez Martinez, Sara Taylor, Andrew W. McHill, Andrew J. K. Phillips, Laura Barger, Elizabeth B. Klerman, Rosalind W. Picard
Multimodal ambulatory sleep detection. BHI (2017)
Daniel Lopez Martinez, Daniel Lombraña, François Grey, En-Te Hwu
A Crowdsourcing-based Air Pollution Measurement System Using DIY Atomic Force Microscopes. Hum. Comput. 3 (1) (2016)