Madalina Fiterau
Madalina Fiterau
Assistant Professor, University of Massachusetts, Amherst
Verified email at - Homepage
Cited by
Cited by
Deep neural decision forests
P Kontschieder, M Fiterau, A Criminisi, SR Bulo
Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015
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
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
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
Pedestrian detection in thermal images using saliency maps
D Ghose, SM Desai, S Bhattacharya, D Chakraborty, M Fiterau, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
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
Shortfuse: Biomedical time series representations in the presence of structured information
M Fiterau, S Bhooshan, J Fries, C Bournhonesque, J Hicks, E Halilaj, ...
Machine Learning for Healthcare Conference, 59-74, 2017
Dynamic sprites
B Jones, J Popovic, J McCann, W Li, A Bargteil
Proceedings of Motion on Games, 39-46, 2013
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
Projection Retrieval for Classification.
M Fiterau, A Dubrawski
NIPS, 3032-3040, 2012
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
Mining intensive care vitals for leading indicators of adverse health events
R Lonkar, A Dubrawski, M Fiterau, R Garnett
Emerg Health Threats J 4, 87, 2011
Performance of handover for multiple users in heterogeneous wireless networks
M Fiterău, O Ormond, GM Muntean
2009 IEEE 34th Conference on Local Computer Networks, 257-260, 2009
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
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
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
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
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
Cardiac Imaging of Aortic Valve Area From 34 287 UK Biobank Participants Reveals Novel Genetic Associations and Shared Genetic Comorbidity With Multiple Disease Phenotypes
A Córdova-Palomera, C Tcheandjieu, JA Fries, P Varma, VS Chen, ...
Circulation: Genomic and Precision Medicine 13 (6), e003014, 2020
Personalized student stress prediction with deep multitask network
A Shaw, N Simsiri, I Deznaby, M Fiterau, T Rahaman
arXiv preprint arXiv:1906.11356, 2019
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