Hossein Soleimani
Hossein Soleimani
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Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis
R Adams, KE Henry, A Sridharan, H Soleimani, A Zhan, N Rawat, ...
Nature medicine 28 (7), 1455-1460, 2022
Recursive Gath–Geva clustering as a basis for evolving neuro-fuzzy modeling
H Soleimani-B, C Lucas, BN Araabi
Evolving Systems 1, 59-71, 2010
Scalable joint models for reliable uncertainty-aware event prediction
H Soleimani, J Hensman, S Saria
IEEE transactions on pattern analysis and machine intelligence 40 (8), 1948-1963, 2018
Treatment-response models for counterfactual reasoning with continuous-time, continuous-valued interventions
H Soleimani, A Subbaswamy, S Saria
arXiv preprint arXiv:1704.02038, 2017
Semi-supervised multi-label topic models for document classification and sentence labeling
H Soleimani, DJ Miller
Proceedings of the 25th ACM international on conference on information and …, 2016
Parsimonious Topic Models with Salient Word Discovery
H Soleimani, DJ Miller
Knowledge and Data Engineering, IEEE Transactions on 27 (3), 2014
ATD: Anomalous topic discovery in high dimensional discrete data
H Soleimani, DJ Miller
IEEE Transactions on Knowledge and Data Engineering 28 (9), 2267-2280, 2016
Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing
KE Henry, R Adams, C Parent, H Soleimani, A Sridharan, L Johnson, ...
Nature medicine 28 (7), 1447-1454, 2022
An analytical solution for free liquid sloshing in a finite-length horizontal cylindrical container filled to an arbitrary depth
SM Hasheminejad, H Soleimani
Applied Mathematical Modelling 48, 338-352, 2017
Adaptive prediction of epileptic seizures from intracranial recordings
H Soleimani-B, C Lucas, B N Araabi, L Schwabe
Biomedical Signal Processing and Control 7 (5), 456-464, 2012
Semisupervised, multilabel, multi-instance learning for structured data
H Soleimani, DJ Miller
Neural computation 29 (4), 1053-1102, 2017
Exploiting the value of class labels on high-dimensional feature spaces: topic models for semi-supervised document classification
H Soleimani, DJ Miller
Pattern Analysis and Applications 22, 299-309, 2019
Fast evolving neuro-fuzzy model and its application in online classification and time series prediction
H Soleimani-B, C Lucas, BN Araabi
Pattern Analysis & Applications 15 (3), 279-288, 2012
Automating measurement of trainee work hours
H Soleimani, J Adler‐Milstein, RJ Cucina, SG Murray
Journal of Hospital Medicine 16 (7), 404-408, 2021
Characterizing styles of clinical note production and relationship to clinical work hours among first-year residents
JJ Gong, H Soleimani, SG Murray, J Adler-Milstein
Journal of the American Medical Informatics Association 29 (1), 120-127, 2022
Sparse topic models by parameter sharing
H Soleimani, DJ Miller
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
Estimation of surgical resident duty hours and workload in real time using electronic health record data
JA Lin, L Pierce, SG Murray, H Soleimani, EC Wick, JA Sosa, K Hirose
Journal of surgical education 78 (6), e232-e238, 2021
Early Identification Of Gastrointestinal Bleeding Requiring Critical Care Using Machine Learning
H Soleimani, K Henry, A Zhan, P Pronovost, N Rawat, D Hager, S Saria
Am J Respir Crit Care Med 195, A7145, 2017
Exploiting the value of class labels in topic models for semi-supervised document classification
H Soleimani, DJ Miller
2016 International Joint Conference on Neural Networks (IJCNN), 4025-4031, 2016
On an Objective Basis for the Maximum Entropy Principle
DJ Miller, H Soleimani
Entropy 17 (1), 401-406, 2015
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