Stebėti
Madalina Fiterau
Madalina Fiterau
Assistant Professor, University of Massachusetts, Amherst
Patvirtintas el. paštas cs.stanford.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Deep neural decision forests
P Kontschieder, M Fiterau, A Criminisi, SR Bulo
Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015
6292015
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
3512018
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), 3111, 2019
1262019
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
1032019
Using supervised machine learning to classify real alerts and artifact in online multisignal vital sign monitoring data
L Chen, A Dubrawski, D Wang, M Fiterau, M Guillame-Bert, E Bose, ...
Critical care medicine 44 (7), e456-e463, 2016
822016
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
602019
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
362019
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
322017
Normalizing Flows Across Dimensions
E Cunningham, Z Renos, A Agrawal, M Fiterau, D Sheldon
arXiv preprint arXiv:2006.13070, 2020
262020
Predicting in-hospital mortality by combining clinical notes with time-series data
I Deznabi, M Iyyer, M Fiterau
Findings of the association for computational linguistics: ACL-IJCNLP 2021 …, 2021
212021
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
202020
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
182021
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
182019
A change of variables method for rectangular matrix-vector products
E Cunningham, M Fiterau
International Conference on Artificial Intelligence and Statistics, 2755-2763, 2021
152021
Projection retrieval for classification
M Fiterau, A Dubrawski
Advances in Neural Information Processing Systems 25, 2012
132012
Personalized student stress prediction with deep multitask network
A Shaw, N Simsiri, I Deznaby, M Fiterau, T Rahaman
arXiv preprint arXiv:1906.11356, 2019
122019
Computational estimates of annular diameter reveal genetic determinants of mitral valve function and disease
M Yu, C Tcheandjieu, A Georges, K Xiao, H Tejeda, C Dina, ...
JCI insight 7 (3), 2022
112022
Constrained Offline Policy Optimization
N Polosky, B C. Da Silva, M Fiterau, J Jagannath
International Conference on Machine Learning, 17801-17810, 2022
112022
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
92011
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
82016
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Straipsniai 1–20