| Signal quality indices and data fusion for determining acceptability of electrocardiograms collected in noisy ambulatory environments GD Clifford, D Lopez, Q Li, I Rezek Computing in Cardiology, 285-8, 2011 | 387* | 2011 |
| Automatic recognition methods supporting pain assessment: A survey P Werner, D Lopez-Martinez, S Walter, A Al-Hamadi, S Gruss, RW Picard IEEE Transactions on Affective Computing 13 (1), 530-552, 2019 | 201 | 2019 |
| Multi-task neural networks for personalized pain recognition from physiological signals D Lopez-Martinez, R Picard 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 109 | 2017 |
| Personalized automatic estimation of self-reported pain intensity from facial expressions D Lopez-Martinez, O Rudovic, D Rosalind Picard Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 99 | 2017 |
| Continuous pain intensity estimation from autonomic signals with recurrent neural networks D Lopez-Martinez, R Picard 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 79 | 2018 |
| Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks A Sano, W Chen, D Lopez-Martinez, S Taylor, RW Picard IEEE Journal of Biomedical and Health Informatics, 2018 | 72 | 2018 |
| Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks D Lopez-Martinez, P Eschenfeldt, S Ostvar, M Ingram, C Hur, R Picard International Engineering in Medicine and Biology Conference (EMBC), 2019 | 48 | 2019 |
| Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process … D Lopez-Martinez, K Peng, A Lee, D Borsook, R Picard International Conference on Affective Computing and Intelligent Interaction …, 2019 | 37 | 2019 |
| Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning D Lopez-Martinez, O Rudovic, R Picard NIPS Machine Learning for Health Care Workshop, 2017 | 36 | 2017 |
| Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning D Lopez-Martinez, N El-Haouij, R Picard International Conference on Affective Computing and Intelligent Interaction …, 2019 | 26 | 2019 |
| Multimodal Ambulatory Sleep Detection W Chen, A Sano, D Lopez-Martinez, S Taylor, AW McHill, AJK Phillips, ... Proc. IEEE International Conference on Biomedical and Health Informatics …, 2017 | 26 | 2017 |
| Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals D Lopez-Martinez, K Peng, SC Steele, AJ Lee, D Borsook, R Picard 2018 24th International Conference on Pattern Recognition (ICPR), 2320-2325, 2018 | 17 | 2018 |
| User-centred design for machine learning in health care: a case study from care management MG Seneviratne, RC Li, M Schreier, D Lopez-Martinez, BS Patel, ... BMJ Health & Care Informatics 29 (1), 2022 | 12 | 2022 |
| Wearable Technologies for Multiple Sclerosis: The Future Role of Wearable Stress Measurement in Improving Quality of Life D Lopez Martinez, R Picard Second International Conference on Smart Portable, Wearable, Implantable and …, 2016 | 9 | 2016 |
| Regularization approaches for support vector machines with applications to biomedical data D Lopez-Martinez arXiv preprint arXiv:1710.10600, 2017 | 6 | 2017 |
| (338) Automatic detection of nociceptive stimuli and pain intensity from facial expressions D Lopez-Martinez, O Rudovic, D Doughty, JA Subramony, R Picard The Journal of Pain 18 (4), S59, 2017 | 6 | 2017 |
| A Crowdsourcing-based Air Pollution Measurement System Using DIY Atomic Force Microscopes D Lopez Martinez, D Lombraña Gonzalez, G Francois, ET Hwu Human Computation 3 (1), 235-241, 2016 | 6 | 2016 |
| Mood, Stress and Sleep Sensing with Wearable Sensors and Mobile Phone A Sano, S Taylor, N Jaques, W Chen, D Lopez-Martinez, E Nosakhare, ... The 40th International Conference of the IEEE Engineering in Medicine and …, 2018 | 4 | 2018 |
| Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data D Lopez-Martinez, C Chen, MJ Chen International Workshop on Applications of Medical AI, 18-28, 2022 | 2 | 2022 |
| Guardrails for avoiding harmful medical product recommendations and off-label promotion in generative AI models D Lopez-Martinez CVPR Workshop on Responsible Generative AI, 2024 | 1 | 2024 |
Gari CliffordProfessor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of TechnologyVerified email at physionet.org
