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ORCIDDaniel Lopez Martinez
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2020 – today
- 2022
[j3]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): 530-552 (2022)- [c10]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: 18-28 - [c9]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: 552-565 - [i10]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 abs/2209.01469 (2022) - [i9]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 abs/2211.10828 (2022)
2010 – 2019
- 2019
- [j2]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): 1607-1617 (2019) - [c8]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: 304-309 - [c7]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: 356-361 - [c6]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: 3960-3963 - [i8]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 abs/1904.11115 (2019) - [i7]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 abs/1907.09929 (2019) - [i6]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 abs/1907.12830 (2019) - 2018
- [c5]Daniel Lopez Martinez, Rosalind W. Picard:
Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks. EMBC 2018: 5624-5627 - [c4]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: 2320-2325 - [i5]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 abs/1808.06774 (2018) - 2017
- [c3]Daniel Lopez Martinez, Rosalind W. Picard:
Multi-task neural networks for personalized pain recognition from physiological signals. ACII Workshops 2017: 181-184 - [c2]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: 465-468 - [c1]Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard:
Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions. CVPR Workshops 2017: 2318-2327 - [i4]Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard:
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions. CoRR abs/1706.07154 (2017) - [i3]Daniel Lopez Martinez, Rosalind W. Picard:
Multi-task Neural Networks for Personalized Pain Recognition from Physiological Signals. CoRR abs/1708.08755 (2017) - [i2]Daniel Lopez Martinez:
Regularization approaches for support vector machines with applications to biomedical data. CoRR abs/1710.10600 (2017) - [i1]Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard:
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning. CoRR abs/1711.04036 (2017) - 2016
- [j1]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): 235-241 (2016)
Coauthor Index
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