Charles Elkan

1. A Critical Review of Recurrent Neural Networks for Sequence Learning
   2015/05/29 by Zachary C. Lipton, John Berkowitz, Lipton, Zachary C. +3 · 37 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
2. Learning to Diagnose with LSTM Recurrent Neural Networks
   2015/11/11 by Zachary C. Lipton, Lipton, Zachary C., David C. Kale +5 · 39 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Topic Modeling
3. Differential Privacy and Machine Learning: a Survey and Review
   2014/12/24 by Zhanglong Ji, Ji, Zhanglong, Zachary C. Lipton +3 · 10 citations
   Computer Science · Social Sciences · #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
4. End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient
   2017/12/07 by Li Zhou, Zhou, Li, Kevin Small +5 · 2 citations
   Computer Science · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech and dialogue systems #Topic Modeling
5. Visualizing the Consequences of Evidence in Bayesian Networks
   2017/07/04 by Clifford Champion, Champion, Clifford, Charles Elkan +1 · 1 citation
   Computer Science · Physics and Astronomy · #Data Visualization and Analytics #Data Management and Algorithms #Complex Network Analysis Techniques
6. Thresholding Classifiers to Maximize F1 Score
   2014/02/08 by Zachary C. Lipton, Lipton, Zachary Chase, Charles Elkan +2 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Text and Document Classification Technologies
7. Predicting Surgery Duration with Neural Heteroscedastic Regression
   2017/02/17 by Nathan Ng, Ng, Nathan, Rodney A. Gabriel +7 · 1 citation
   Health Professions · Medicine · #Cardiac, Anesthesia and Surgical Outcomes #FOS: Computer and information sciences #Healthcare Operations and Scheduling Optimization #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Surgical Simulation and Training