Madalina Fiterau
Madalina Fiterau
Assistant Professor, University of Massachusetts, Amherst
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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
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
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
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
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 change of variables method for rectangular matrix-vector products
E Cunningham, M Fiterau
International Conference on Artificial Intelligence and Statistics, 2755-2763, 2021
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
Impact of the COVID-19 Pandemic on the Academic Community Results from a survey conducted at University of Massachusetts Amherst
I Deznabi, T Motahar, A Sarvghad, M Fiterau, N Mahyar
Digital Government: Research and Practice 2 (2), 1-12, 2021
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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