惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

大猫的无限游戏
大猫的无限游戏
K
Kaspersky official blog
Apple Machine Learning Research
Apple Machine Learning Research
B
Blog
aimingoo的专栏
aimingoo的专栏
M
MIT News - Artificial intelligence
小众软件
小众软件
云风的 BLOG
云风的 BLOG
腾讯CDC
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
Hugging Face - Blog
Hugging Face - Blog
S
SegmentFault 最新的问题
Stack Overflow Blog
Stack Overflow Blog
量子位
S
Secure Thoughts
G
GRAHAM CLULEY
C
CXSECURITY Database RSS Feed - CXSecurity.com
人人都是产品经理
人人都是产品经理
雷峰网
雷峰网
T
Threat Research - Cisco Blogs
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Cisco Talos Blog
Cisco Talos Blog
G
Google Developers Blog
爱范儿
爱范儿
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
有赞技术团队
有赞技术团队
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Martin Fowler
Martin Fowler
The GitHub Blog
The GitHub Blog
Google DeepMind News
Google DeepMind News
C
Cisco Blogs
D
Darknet – Hacking Tools, Hacker News & Cyber Security
博客园 - 聂微东
宝玉的分享
宝玉的分享
H
Hackread – Cybersecurity News, Data Breaches, AI and More
N
Netflix TechBlog - Medium
Forbes - Security
Forbes - Security
Engineering at Meta
Engineering at Meta
S
Security Affairs
Help Net Security
Help Net Security
博客园 - 三生石上(FineUI控件)
AWS News Blog
AWS News Blog
博客园 - 叶小钗
Recent Commits to openclaw:main
Recent Commits to openclaw:main
V2EX - 技术
V2EX - 技术
Hacker News: Ask HN
Hacker News: Ask HN
Project Zero
Project Zero
H
Heimdal Security Blog
W
WeLiveSecurity
C
Check Point Blog

Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

[edit]

Volume 149: Machine Learning for Healthcare Conference, 6-7 August 2021, Virtual

[edit]

Editors: Ken Jung, Serena Yeung, Mark Sendak, Michael Sjoding, Rajesh Ranganath

[bib][citeproc]

Filter Authors: Filter Titles:

Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings

; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:2-35

[abs][Download PDF]

Knowledge Graph-based Question Answering with Electronic Health Records

Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:36-53

[abs][Download PDF]

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models

Zhiliang Wu, Yinchong Yang, Peter A. Fashing, Volker Tresp; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:54-79

[abs][Download PDF]

Directing Human Attention in Event Localization for Clinical Timeline Creation

Jason Zhao, Monica Agrawal, Pedram Razavi, David Sontag; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:80-102

[abs][Download PDF]

CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays

Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:103-125

[abs][Download PDF]

Understanding Clinical Collaborations Through Federated Classifier Selection

Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:126-145

[abs][Download PDF]

Deep Generative Analysis for Task-Based Functional MRI Experiments

Daniela de Albuquerque, Jack Goffinet, Rachael Wright, John Pearson; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:146-175

[abs][Download PDF]

Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels

Brian Chen, Golara Javadi, Amoon Jamzad, Alexander Hamilton, Stephanie Sibley, Purang Abolmaesumi, David Maslove, Parvin Mousavi; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:176-195

[abs][Download PDF]

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

Byung-Hak Kim, Varun Ganapathi; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:196-208

[abs][Download PDF]

Power Constrained Bandits

Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan Murphy, Finale Doshi-Velez; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:209-259

[abs][Download PDF]

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Cao Xiao, Jimeng Sun; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:260-282

[abs][Download PDF]

Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss

Haiqi Wei, Frank Rudzicz, David Fleet, Teodor Grantcharov, Babak Taati; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:283-307

[abs][Download PDF]

Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance

Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily Fox; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:308-336

[abs][Download PDF]

An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention

Yeachan Kim, Bonggun Shin; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:337-353

[abs][Download PDF]

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization

Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:354-372

[abs][Download PDF]

Risk score learning for COVID-19 contact tracing apps

Kevin Murphy, Abhishek Kumar, Stylianos Serghiou; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:373-390

[abs][Download PDF]

MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health

Hiba Ahsan, Emmie Ohnuki, Avijit Mitra, Hong You; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:391-413

[abs][Download PDF]

In-depth Benchmarking of Deep Neural Network Architectures for ECG Diagnosis

Naoki Nonaka, Jun Seita; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:414-439

[abs][Download PDF]

Hierarchical Information Criterion for Variable Abstraction

Mark Mirtchouk, Bharat Srikishan, Samantha Kleinberg; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:440-460

[abs][Download PDF]

Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs

Nasir Hayat, Hazem Lashen, Farah E. Shamout; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:461-477

[abs][Download PDF]

Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach

Ardvan Saeedi, Payman Yadollahpour, Sumedha Singla, Brian Pollack, William Wells, Frank Sciurba, Kayhan Batmanghelich; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:478-505

[abs][Download PDF]

Mind the Performance Gap: Examining Dataset Shift During Prospective Validation

Erkin Otles, Jeeheh Oh, Benjamin Li, Michelle Bochinski, Hyeon Joo, Justin Ortwine, Erica Shenoy, Laraine Washer, Vincent B. Young, Krishna Rao, Jenna Wiens; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:506-534

[abs][Download PDF]

A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction

Inigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:535-566

[abs][Download PDF]

Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories

Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:567-613

[abs][Download PDF]

A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms

Zhe Huang, Gary Long, Benjamin Wessler, Michael C. Hughes; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:614-647

[abs][Download PDF]

Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions

Preston Putzel, Hyungrok Do, Alex Boyd, Hua Zhong, Padhraic Smyth; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:648-673

[abs][Download PDF]

Deep Cox Mixtures for Survival Regression

Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:674-708

[abs][Download PDF]

Stool Image Analysis for Precision Health Monitoring by Smart Toilets

Jin Zhou, Nick DeCapite, Jackson McNabb, Jose R. Ruiz, Deborah A. Fisher, Sonia Grego, Krishnendu Chakrabarty; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:709-729

[abs][Download PDF]

Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer’s Disease classification

Sarah C. Brüningk, Felix Hensel, Louis P. Lukas, Merel Kuijs, Catherine R. Jutzeler, Bastian Rieck; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:730-754

[abs][Download PDF]

MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation

Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:755-769

[abs][Download PDF]

Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data

Shreyas Bhave, Adler Perotte; Proceedings of the 6th Machine Learning for Healthcare Conference, PMLR 149:770-789

[abs][Download PDF]