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Dave Kale
Dave Kale
Data Science Manager, Literati
Verified email at literati.com - Homepage
Title
Cited by
Cited by
Year
Learning to diagnose with LSTM recurrent neural networks
ZC Lipton
arXiv preprint arXiv:1511.03677, 2015
14702015
Multitask learning and benchmarking with clinical time series data
H Harutyunyan, H Khachatrian, DC Kale, G Ver Steeg, A Galstyan
Scientific data 6 (1), 96, 2019
10232019
Do no harm: a roadmap for responsible machine learning for health care
J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ...
Nature medicine 25 (9), 1337-1340, 2019
8052019
Deep computational phenotyping
Z Che, D Kale, W Li, MT Bahadori, Y Liu
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
3362015
Modeling missing data in clinical time series with rnns
ZC Lipton, DC Kale, R Wetzel
Machine Learning for Healthcare 56 (56), 253-270, 2016
3012016
Directly modeling missing data in sequences with rnns: Improved classification of clinical time series
ZC Lipton, D Kale, R Wetzel
Machine learning for healthcare conference, 253-270, 2016
2802016
Anchored correlation explanation: Topic modeling with minimal domain knowledge
RJ Gallagher, K Reing, D Kale, G Ver Steeg
Transactions of the Association for Computational Linguistics 5, 529-542, 2017
2282017
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
BM Marlin, DC Kale, RG Khemani, RC Wetzel
Proceedings of the 2nd ACM SIGHIT international health informatics symposium …, 2012
2212012
Learning to diagnose with LSTM recurrent neural networks. arXiv 2015
ZC Lipton, DC Kale, C Elkan, R Wetzel
arXiv preprint arXiv:1511.03677, 0
70
The effect of neighborhood and individual characteristics on pediatric critical illness
D Epstein, M Reibel, JB Unger, M Cockburn, LA Escobedo, DC Kale, ...
Journal of community health 39, 753-759, 2014
692014
Phenotyping of clinical time series with LSTM recurrent neural networks
ZC Lipton, DC Kale, RC Wetzel
arXiv preprint arXiv:1510.07641, 2015
542015
An examination of multivariate time series hashing with applications to health care
DC Kale, D Gong, Z Che, Y Liu, G Medioni, R Wetzel, P Ross
2014 IEEE international conference on data mining, 260-269, 2014
512014
Accelerating active learning with transfer learning
D Kale, Y Liu
2013 IEEE 13th International Conference on Data Mining, 1085-1090, 2013
482013
Causal phenotype discovery via deep networks
DC Kale, Z Che, MT Bahadori, W Li, Y Liu, R Wetzel
AMIA Annual Symposium Proceedings 2015, 677, 2015
412015
Functional subspace clustering with application to time series
MT Bahadori, D Kale, Y Fan, Y Liu
International conference on machine learning, 228-237, 2015
392015
Hemilaminectomy for thoracolumbar Hansen Type I intervertebral disk disease in ambulatory dogs with or without neurologic deficits: 39 cases (2008–2010)
EA Ingram, DC Kale, RJ Balfour
Veterinary Surgery 42 (8), 924-931, 2013
392013
Learning to diagnose with LSTM recurrent neural networks. 2015
ZC Lipton, DC Kale, C Elkan, R Wetzel
arXiv preprint arXiv:1511.03677, 2015
372015
Learning effective representations from clinical notes
S Dubois, N Romano, DC Kale, N Shah, K Jung
stat 1050, 15, 2017
322017
Collecting and analyzing millions of mhealth data streams
T Quisel, L Foschini, A Signorini, DC Kale
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
252017
Hierarchical active transfer learning
D Kale, M Ghazvininejad, A Ramakrishna, J He, Y Liu
Proceedings of the 2015 SIAM International Conference on Data Mining, 514-522, 2015
232015
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