20W03 - Learning Representations for Prediction of Next Patient State

Taylor Killian, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi

20W04 - Deep State-Space Generative Model For Correlated Time-to-Event Predictions

Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui

20W07 - Improving medical annotation quality to decrease labeling burden using stratified noisy cross-validation

Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres

20W11 - Cost-Sensitive Feature Selection Using Bayesian Optimization

Lucca G. Zenobio, Thiago N. C. Cardoso, Andrea Kauffmann, Augusto Antunes

20W15 - Deep Transfer Learning for Physiological Signals

Hugh Chen, Scott Lundberg, Gabe Erion, Jerry H. Kim, Su-In Lee

20W16 - Open Set Medical Diagnosis

Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David Sontag, Xavier Amatriain

20W17 - Assessing Robustness of Deep Learning Methods in Dermatological Workflow

Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki

20W20 - Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning

Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi

20W23 - CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting

Pranav Rajpurkar, Anirudh Joshi, Phil Chen, Anuj Pareek, Amir Kiani, Matthew Lungren, Andrew Ng, Jeremy Irvin

20W25 - Distracted Multi-task Learning: Addressing Negative Transfer with Fine-tuning on EHR Time-series Data

Matthew McDermott, Bret Nestor, Wancong Zhang, Peter Szolovits, Anna Goldenberg, Marzyeh Ghassemi