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Taha Bahadori
Taha Bahadori
Principal Machine Learning Scientist
E-mailová adresa ověřena na: amazon.com
Název
Citace
Citace
Rok
RETAIN: An Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism
E Choi, MT Bahadori, A Schuetz, WF Stewart, J Sun
Advances in Neural Information Processing Systems, 2016
13672016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
E Choi, MT Bahadori, A Schuetz, WF Stewart, J Sun
Machine Learning in Healthcare, 2016
13042016
GRAM: Graph-based Attention Model for Healthcare Representation Learning
E Choi, MT Bahadori, L Song, WF Stewart, J Sun
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
6662017
Multi-layer Representation Learning for Medical Concepts
E Choi, MT Bahadori, E Searles, C Coffey, J Sun
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
5812016
Deep computational phenotyping
Z Che, D Kale, W Li, MT Bahadori, Y Liu
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
3182015
Fast multivariate spatio-temporal analysis via low rank tensor learning
MT Bahadori, QR Yu, Y Liu
Advances in neural information processing systems (NIPS), 3491-3499, 2014
2052014
Improving hospital mortality prediction with medical named entities and multimodal learning
M Jin, MT Bahadori, A Colak, P Bhatia, B Celikkaya, R Bhakta, ...
NeurIPS Workshop on Machine Learning for Health, 2018
732018
Spectral Capsule Networks
MT Bahadori
International Conference on Learning Representations (ICLR Workshop), 2018
672018
An Examination of Practical Granger Causality Inference
MT Bahadori, Y Liu
Proceedings of the 2013 SIAM International Conference on Data Mining, 467-475, 2013
642013
Granger Causality Analysis in Irregular Time Series
MT Bahadori, Y Liu
Proceedings of the 2012 SIAM International Conference on Data Mining, 660-671, 2012
552012
Fblg: A simple and effective approach for temporal dependence discovery from time series data
D Cheng, MT Bahadori, Y Liu
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
492014
Debiasing Concept-based Explanations with Causal Analysis
MT Bahadori, DE Heckerman
International Conference on Learning Representations (ICLR'21), 2021
41*2021
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines
Y Zhang, MT Bahadori, H Su, J Sun
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
412016
Causal Phenotype Discovery via Deep Networks
DC Kale, Z Che, MT Bahadori, W Li, Y Liu, R Wetzel
Proceedings of the American Medical Informatics Assocation (AMIA) 2015 …, 2015
402015
Functional Subspace Clustering with Application to Time Series
MT Bahadori, D Kale, Y Fan, Y Liu
Proceedings of the 32nd International Conference on Machine Learning, 2015
382015
Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling
Y Liu, T Bahadori, H Li
Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012
382012
Learning with minimum supervision: A general framework for transductive transfer learning
MT Bahadori, Y Liu, D Zhang
11th IEEE International Conference on Data Mining (ICDM), 61-70, 2011
362011
Temporal-clustering invariance in irregular healthcare time series
MT Bahadori, ZC Lipton
CHIL '20: Proceedings of the ACM Conference on Health, Inference, and Learning, 2019
302019
A general framework for scalable transductive transfer learning
MT Bahadori, Y Liu, D Zhang
Knowledge and information systems 38, 61-83, 2014
302014
Scalable Interpretable Multi-Response Regression via SEED
Z Zheng, MT Bahadori, Y Liu, J Lv
Journal of Machine Learning Research, 2019
29*2019
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Články 1–20