Daisy Yi Ding

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Graph Representation

Top Venues

Publications

Ahmet Gorkem Er, Daisy Yi Ding, Berrin Er, Mertcan Uzun, Mehmet Cakmak, Christoph Sadee, Gamze Durhan, Mustafa Nasuh Ozmen, Mine Durusu Tanriover, Arzu Topeli, Yesim Aydin Son, Robert Tibshirani, Serhat Unal, Olivier Gevaert
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. npj Digit. Medicine 7 (1) (2024)
Daisy Yi Ding, Xiaotao Shen, Michael Snyder, Robert Tibshirani
Semi-supervised Cooperative Learning for Multiomics Data Fusion. ML4MHD (2023)
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec
Handling Missing Data with Graph Representation Learning. CoRR (2020)
Tony Duan, Avati Anand, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler
NGBoost: Natural Gradient Boosting for Probabilistic Prediction. ICML (2020)
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec
Handling Missing Data with Graph Representation Learning. NeurIPS (2020)
Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler
NGBoost: Natural Gradient Boosting for Probabilistic Prediction. CoRR (2019)
Stephen R. Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah
Counterfactual Reasoning for Fair Clinical Risk Prediction. MLHC (2019)
Scott L. Fleming, Kuhan Jeyapragasan, Tony Duan, Daisy Yi Ding, Saurabh Gombar, Nigam Shah, Emma Brunskill
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare. CoRR (2019)
Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah
The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. PSB (2019)
Stephen Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah
Counterfactual Reasoning for Fair Clinical Risk Prediction. CoRR (2019)
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz
Learning to Summarize Radiology Findings. Louhi@EMNLP (2018)
Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah
The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. CoRR (2018)
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, Curtis P. Langlotz
Learning to Summarize Radiology Findings. CoRR (2018)
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. CoRR (2017)
Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Yi Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. CoRR (2017)