| Recurrent neural networks for multivariate time series with missing values Z Che, S Purushotham, K Cho, D Sontag, Y Liu Scientific reports 8 (1), 6085, 2018 | 2085 | 2018 |
| Benchmarking deep learning models on large healthcare datasets S Purushotham, C Meng, Z Che, Y Liu Journal of biomedical informatics 83, 112-134, 2018 | 465 | 2018 |
| Interpretable deep models for ICU outcome prediction Z Che, S Purushotham, R Khemani, Y Liu AMIA annual symposium proceedings 2016, 371, 2016 | 349 | 2016 |
| Collaborative topic regression with social matrix factorization for recommendation systems S Purushotham, Y Liu, CCJ Kuo International Conference on Machine Learning (ICML), 2012 | 237 | 2012 |
| Distilling Knowledge from Deep Networks with Applications to Healthcare Domain Z Che, S Purushotham, Y Liu arXiv preprint arXiv:1512.03542, 2015 | 160 | 2015 |
| Variational Recurrent Adversarial Deep Domain Adaptation S Purushotham, W Carvalho, T Nilanon, Y Liu International Conference on Learning Representations (ICLR), 2017 | 131* | 2017 |
| Survival outcome prediction in cervical cancer: Cox models vs deep-learning model K Matsuo, S Purushotham, B Jiang, RS Mandelbaum, T Takiuchi, Y Liu, ... American journal of obstetrics and gynecology 220 (4), 381. e1-381. e14, 2019 | 124 | 2019 |
| Exploratory analysis of covid-19 tweets using topic modeling, umap, and digraphs C Ordun, S Purushotham, E Raff arXiv preprint arXiv:2005.03082, 2020 | 123 | 2020 |
| Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs C Ordun, S Purushotham, E Raff epiDAMIK 3.0: The 3rd International workshop on Epidemiology meets Data …, 2020 | 123 | 2020 |
| A deep‐learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot‐assisted radical prostatectomy AJ Hung, J Chen, S Ghodoussipour, PJ Oh, Z Liu, J Nguyen, ... BJU international 124 (3), 487-495, 2019 | 116 | 2019 |
| Normal/Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network T Nilanon, J Yao, J Hao, S Purushotham, Y Liu Computing in Cardiology, 2016 | 115 | 2016 |
| A review of earth artificial intelligence Z Sun, L Sandoval, R Crystal-Ornelas, SM Mousavi, J Wang, C Lin, ... Computers & Geosciences 159, 105034, 2022 | 111 | 2022 |
| Interpretable deep learning framework for mining and predictive modeling of health care data Y Liu, Z Che, S Purushotham US Patent 11,144,825, 2021 | 84 | 2021 |
| Neural interaction transparency (nit): Disentangling learned interactions for improved interpretability M Tsang, H Liu, S Purushotham, P Murali, Y Liu Advances in neural information processing systems 31, 2018 | 73 | 2018 |
| MedFuseNet: Attention-based Multimodal deep learning model for Visual Question Answering in the Medical Domain D Sharma, S Purushotham, CK Reddy Nature Scientific Reports, 2021 | 55 | 2021 |
| Association of tumor differentiation grade and survival of women with squamous cell carcinoma of the uterine cervix K Matsuo, RS Mandelbaum, H Machida, S Purushotham, BH Grubbs, ... Journal of gynecologic oncology 29 (6), 2018 | 55 | 2018 |
| Hierarchical deep generative models for multi-rate multivariate time series Z Che, S Purushotham, G Li, B Jiang, Y Liu International Conference on Machine Learning, 784-793, 2018 | 48 | 2018 |
| Recurrent neural networks for multivariate time series with missing values. Sci. Rep. 8, 6085 Z Che, S Purushotham, K Cho, D Sontag, Y Liu | 48 | 2018 |
| Personalized group recommender systems for location-and event-based social networks S Purushotham, CCJ Kuo ACM Transactions on Spatial Algorithms and Systems (TSAS) 2 (4), 1-29, 2016 | 44 | 2016 |
| Measuring and predicting tag importance for image retrieval S Li, S Purushotham, C Chen, Y Ren, CCJ Kuo IEEE transactions on pattern analysis and machine intelligence 39 (12), 2423 …, 2017 | 39 | 2017 |
