Madalina Fiterau
Madalina Fiterau
Assistant Professor, University of Massachusetts, Amherst
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Deep neural decision forests
P Kontschieder, M Fiterau, A Criminisi, S Rota Bulo
Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015
2962015
Machine learning in human movement biomechanics: best practices, common pitfalls, and new opportunities
E Halilaj, A Rajagopal, M Fiterau, JL Hicks, TJ Hastie, SL Delp
Journal of biomechanics 81, 1-11, 2018
612018
Using supervised machine learning to classify real alerts and artifact in online multi-signal vital sign monitoring data
L Chen, A Dubrawski, D Wang, M Fiterau, M Guillame-Bert, E Bose, ...
Critical care medicine 44 (7), e456, 2016
472016
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
JA Fries, P Varma, VS Chen, K Xiao, H Tejeda, P Saha, J Dunnmon, ...
Nature communications 10 (1), 1-10, 2019
252019
Shortfuse: Biomedical time series representations in the presence of structured information
M Fiterau, S Bhooshan, J Fries, C Bournhonesque, J Hicks, E Halilaj, ...
Proceedings of machine learning research 68, 59, 2017
182017
Projection retrieval for classification
M Fiterau, A Dubrawski
Advances in Neural Information Processing Systems, 3023-3031, 2012
112012
Trends and focus of machine learning applications for health research
B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ...
JAMA network open 2 (10), e1914051-e1914051, 2019
102019
Pedestrian Detection in Thermal Images using Saliency Maps
D Ghose, SM Desai, S Bhattacharya, D Chakraborty, M Fiterau, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
92019
Similarity-based lstms for time series representation learning in the presence of structured covariates
M Fiterau, J Fries, E Halilaj, N Siranart, S Bhooshan, C Re
29th Conference on Neural Information Processing Systems 3, 2016
62016
Mining intensive care vitals for leading indicators of adverse health events
R Lonkar, A Dubrawski, M Fiterau, R Garnett
Emerg Health Threats J 4, 11073, 2011
62011
Artifact patterns in continuous noninvasive monitoring of patients
M Hravnak, L Chen, E Bose, M Fiterau, M Guillame-Bert, A Dubrawski, ...
Intensive care medicine 39 (Suppl 2), S405, 2013
52013
Automatic identification of artifacts in monitoring critically ill patients
M Fiterau, A Dubrawski, L Chen, M Hravnak, G Clermont, MR Pinsky
Intensive care medicine 39 (2), S470, 2013
52013
Informative projection recovery for classification, clustering and regression
M Fiterau, A Dubrawski
2013 12th International Conference on Machine Learning and Applications 1, 15-20, 2013
42013
Alzheimer's Disease Brain MRI Classification: Challenges and Insights
YR Fung, Z Guan, R Kumar, JY Wu, M Fiterau
arXiv preprint arXiv:1906.04231, 2019
32019
A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks
Z Guan, R Kumar, YR Fung, Y Wu, M Fiterau
arXiv preprint arXiv:1904.07950, 2019
32019
Machine learning for health (ML4H) workshop at NeurIPS 2018
N Antropova, AL Beam, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ...
arXiv preprint arXiv:1811.07216, 2018
32018
797: INTERPRETABLE ACTIVE LEARNING IN SUPPORT OF CLINICAL DATA ANNOTATION
D Wang, M Fiterau, A Dubrawski, M Hravnak, G Clermont, M Pinsky
Critical Care Medicine 42 (12), A1552, 2014
32014
51: ARCHETYPING ARTIFACTS IN MONITORED NONINVASIVE VITAL SIGNS DATA
M Fiterau, A Dubrawski, M Hravnak, L Chen, M Pinsky, G Clermont, ...
Critical Care Medicine 42 (12), A1381, 2014
22014
Multi-tier ground truth elicitation framework with application to artifact classification for predicting patient instability
D Wang, L Chen, M Fiterau, A Dubrawski, M Hravnak, E Bose, D Wallace, ...
J Intensive Care Med 40 (1 Suppl), S289, 2014
22014
285: REAL ALERTS AND ARTIFACT IN CONTINUOUS NONINVASIVE VITAL SIGN MONITORING: MONO-VS. MULTI-PROCESS
M Hravnak, L Chen, E Bose, M Fiterau, M Guillame-Bert, A Dubrawski, ...
Critical Care Medicine 41 (12), A66, 2013
22013
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