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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
1222022
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
862010
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
742018
Treatment-response models for counterfactual reasoning with continuous-time, continuous-valued interventions
H Soleimani, A Subbaswamy, S Saria
arXiv preprint arXiv:1704.02038, 2017
622017
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
512016
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
452022
Parsimonious Topic Models with Salient Word Discovery
H Soleimani, DJ Miller
Knowledge and Data Engineering, IEEE Transactions on 27 (3), 2014
432014
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
392016
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
252017
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
222012
Semisupervised, multilabel, multi-instance learning for structured data
H Soleimani, DJ Miller
Neural computation 29 (4), 1053-1102, 2017
122017
Automating measurement of trainee work hours
H Soleimani, J Adler‐Milstein, RJ Cucina, SG Murray
Journal of Hospital Medicine 16 (7), 404-408, 2021
82021
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
82019
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
82012
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
72022
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
42021
Sparse topic models by parameter sharing
H Soleimani, DJ Miller
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
42014
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
32016
On an Objective Basis for the Maximum Entropy Principle
DJ Miller, H Soleimani
Entropy 17 (1), 401-406, 2015
32015
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
22017
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