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
28 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
19 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