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Disambiguation of "Martinez, Daniel Lopez"

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Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning.

, , and . ACII Workshops, page 356-361. IEEE, (2019)

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Daniel López Martínez

Benjamín Martínez López

Alejandro Martínez López-Portillo

Leopoldo López Martínez Alva

Daniel Rincón Martínez

 

Other publications of authors with the same name

Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks., , , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1607-1617 (2019)Multi-task neural networks for personalized pain recognition from physiological signals., and . ACII Workshops, page 181-184. IEEE Computer Society, (2017)Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning., , and . ACII Workshops, page 356-361. IEEE, (2019)Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks., and . EMBC, page 5624-5627. IEEE, (2018)Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks., , , , , and . EMBC, page 3960-3963. IEEE, (2019)Instability in clinical risk stratification models using deep learning., , , , , , , , , and 2 other author(s). ML4H@NeurIPS, volume 193 of Proceedings of Machine Learning Research, page 552-565. PMLR, (2022)Multimodal ambulatory sleep detection., , , , , , , , and . BHI, page 465-468. IEEE, (2017)Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data., , and . AMAI@MICCAI, volume 13540 of Lecture Notes in Computer Science, page 18-28. Springer, (2022)Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors., , , , and . ACII Workshops, page 304-309. IEEE, (2019)Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals., , , , , and . ICPR, page 2320-2325. IEEE Computer Society, (2018)