| Falls risk classification of older adults using deep neural networks and transfer learning M Martinez, PL De Leon IEEE journal of biomedical and health informatics 24 (1), 144-150, 2019 | 26 | 2019 |
| When Less Is More Few Bit ADCs in RF Systems CT Rodenbeck, M Martinez, JB Beun, J Silva-Martinez, Aİ Karşilayan, ... IEEE Access 7, 12035-12046, 2019 | 18 | 2019 |
| Bayesian classification of falls risk M Martinez, PL De Leon, D Keeley Gait & posture 67, 99-103, 2019 | 9 | 2019 |
| An Overview of Google's Machine Intelligence Software TensorFlow. MT Martinez Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | 9 | 2016 |
| Conditional generative adversarial networks for solving heat transfer problems MT Martinez, ON Heiner Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 6 | 2020 |
| A Smartphone-based gait data collection system for the prediction of falls in elderly adults. MT Martinez, PL De Leon Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2015 | 5 | 2015 |
| Novelty detection for predicting falls risk using smartphone gait data M Martinez, PL De Leon, D Keeley 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 3 | 2017 |
| Anomaly Detection for Prediciting Falls Risk using Smartphone Gait Data. MT Martinez, PL De Leon, D Keeley Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | 3 | 2016 |
| CASA dual-doppler system V Chandrasekar, M Martinez, S Zhang 2010 IEEE International Geoscience and Remote Sensing Symposium, 4138-4141, 2010 | 3 | 2010 |
| Dimensionality reduction using elastic measures JD Tucker, MT Martinez, JM Laborde Stat 12 (1), e551, 2023 | 2 | 2023 |
| Virtual Testbed for Simulating Polychromatic Imaging Systems via PHITS. G Dalton, MT Martinez, A Stohn, RW Davies, JD Tucker Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 2 | 2020 |
| Observation of an EF2 tornado winds using networked radar test-bed V Chandrasekar, Y Wang, N Bharadwaj, S Zhang, M Martinez, ... 2010 IEEE Radar Conference, 1167-1171, 2010 | 2 | 2010 |
| De Leon and David Keeley,“NOVELTY DETECTION FOR PREDICTING FALLS RISK USING SMARTPHONE GAIT DATA” M Martinez, L Phillip IEEE, 0 | 2 | |
| Unsupervised Segmentation and Labeling for Smartphone Acquired Gait Data. MT Martinez, PL DeLeon Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | 1 | 2016 |
| Integrating Physics through Machine Learning Loss. C Vollmer, JD Tucker, MT Martinez, RW Davies, G Dalton Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Falls Risk Classification Using Smartphone Based Inertial Sensors and Deep Learning MT Martinez New Mexico State University, 2018 | | 2018 |
| Activity Classification And Segmentation for Falls Risk Prediction Using Recurrent Neural Networks. MT Martinez, PD Leon Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | | 2017 |
| Falls Risk Prediction Using Smartphone Based Inertial Sensors and Deep Learning. MT Martinez Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | | 2017 |
| Convolutional Neural Networks. MT Martinez Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | | 2016 |
| Sequence Modeling: Recurrent Neural Networks. MT Martinez Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | | 2016 |
Phillip De LeonAssociate Vice Chancellor for Research, University Colorado DenverVerified email at ucdenver.edu
