( en | de | ru )

 

Disambiguation of "Martinez, Daniel Lopez"

Author of the publication

copydeleteadd this publication to your clipboard
Multimodal ambulatory sleep detection.

, , , , , , , , and . BHI, page 465-468. IEEE, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

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)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)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)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)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)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)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)