Daniel Lopez Martinez
Orcid: 0000-0002-8642-2970
According to our database1,
Daniel Lopez Martinez
authored at least 16 papers
between 2016 and 2022.
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Bibliography
2022
IEEE Trans. Affect. Comput., 2022
Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data.
CoRR, 2022
Proceedings of the Machine Learning for Health, 2022
Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data.
Proceedings of the Applications of Medical Artificial Intelligence, 2022
2019
IEEE J. Biomed. Health Informatics, 2019
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019
Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019
2018
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning.
CoRR, 2017
Regularization approaches for support vector machines with applications to biomedical data.
CoRR, 2017
Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Multi-task neural networks for personalized pain recognition from physiological signals.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017
2016
A Crowdsourcing-based Air Pollution Measurement System Using DIY Atomic Force Microscopes.
Hum. Comput., 2016