| Doctor AI: Predicting Clinical Events via Recurrent Neural Networks E Choi, MT Bahadori, A Schuetz, WF Stewart, J Sun Machine Learning in Healthcare, 2016 | 648 | 2016 |
| 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 | 515 | 2016 |
| 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 | 328 | 2016 |
| 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 | 266 | 2017 |
| Deep computational phenotyping Z Che, D Kale, W Li, MT Bahadori, Y Liu Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 210 | 2015 |
| 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 | 119 | 2014 |
| An Examination of Practical Granger Causality Inference MT Bahadori, Y Liu Proceedings of the 2013 SIAM International Conference on Data Mining, 467-475, 2013 | 44 | 2013 |
| Granger Causality Analysis in Irregular Time Series MT Bahadori, Y Liu Proceedings of the 2012 SIAM International Conference on Data Mining, 660-671, 2012 | 40 | 2012 |
| 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 | 35 | 2014 |
| Spectral Capsule Networks MT Bahadori International Conference on Learning Representations (ICLR Workshop), 2018 | 32 | 2018 |
| 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 | 31 | 2015 |
| 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 | 30 | 2012 |
| 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 | 30 | 2011 |
| 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 | 26 | 2015 |
| A survey on Granger causality: A computational view Y Liu, TM Bahadori University of Southern California, 1-13, 2012 | 25 | 2012 |
| 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 | 24 | 2016 |
| 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 | 23 | 2018 |
| A general framework for scalable transductive transfer learning MT Bahadori, Y Liu, D Zhang Knowledge and information systems 38 (1), 61-83, 2014 | 19 | 2014 |
| On the performance of multiuser MIMO mesh networks M Bahadori, K Psounis University of Southern California, 1-12, 2010 | 18 | 2010 |
| Fast structure learning in generalized stochastic processes with latent factors MT Bahadori, Y Liu, EP Xing Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 16 | 2013 |
Yan LiuAssociate Professor, Computer ScienceVerifierad e-postadress på usc.edu
