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
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
Normalizing Flows Across Dimensions
E Cunningham, Z Renos, A Agrawal, M Fiterau, D Sheldon
arXiv preprint arXiv:2006.13070, 2020
Projection retrieval for classification
M Fiterau, A Dubrawski
Advances in Neural Information Processing Systems 25, 2012
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
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
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
A change of variables method for rectangular matrix-vector products
E Cunningham, M Fiterau
International Conference on Artificial Intelligence and Statistics, 2755-2763, 2021
Mining intensive care vitals for leading indicators of adverse health events
R Lonkar, A Dubrawski, M Fiterau, R Garnett
Emerging Health Threats Journal 4, 11073, 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
Personalized student stress prediction with deep multitask network
A Shaw, N Simsiri, I Deznaby, M Fiterau, T Rahaman
arXiv preprint arXiv:1906.11356, 2019
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
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
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
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