Jeremy C. Weiss

According to our database, Jeremy C. Weiss authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using Multimodal Data to Improve Precision of Inpatient Event Timelines.

Gabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, Diego Salazar, Smitha Edakalavan, Jeremy C. Weiss

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Fairness with censorship and group constraints.

Wenbin Zhang, Jeremy C. Weiss

Knowl. Inf. Syst., June, 2023

Individual Fairness Guarantee in Learning with Censorship.

Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss

CoRR, 2023

Typed Markers and Context for Clinical Temporal Relation Extraction.

Cheng Cheng, Jeremy C. Weiss

Proceedings of the Machine Learning for Healthcare Conference, 2023

Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression.

Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen

Proceedings of the Machine Learning for Health, 2023

Individual Fairness Under Uncertainty.

Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Censored Fairness through Awareness.

Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Fairness Amidst Non-IID Graph Data: A Literature Review.

Wenbin Zhang, Jeremy C. Weiss, Shuigeng Zhou, Toby Walsh

CoRR, 2022

AnEMIC: A Framework for Benchmarking ICD Coding Models.

Juyong Kim, Abheesht Sharma, Suhas Shanbhogue, Jeremy C. Weiss, Pradeep Ravikumar

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence.

Juyong Kim, Jeremy C. Weiss, Pradeep Ravikumar

Proceedings of the Conference on Health, Inference, and Learning, 2022

Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.

Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss

Proceedings of the AMIA 2022, 2022

Longitudinal Fairness with Censorship.

Wenbin Zhang, Jeremy C. Weiss

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk.

Xuejian Wang, Wenbin Zhang, Aishwarya Jadhav, Jeremy C. Weiss

Proceedings of AAAI Symposium on Survival Prediction, 2021

FARF: A Fair and Adaptive Random Forests Classifier.

Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Fair Decision-making Under Uncertainty.

Wenbin Zhang, Jeremy C. Weiss

Proceedings of the IEEE International Conference on Data Mining, 2021

Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data.

Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Disentangled Hyperspherical Clustering for Sepsis Phenotyping.

Cheng Cheng, Jason Kennedy, Christopher Seymour, Jeremy C. Weiss

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning.

Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss

CoRR, 2020

TL-Lite: Temporal Visualization and Learning for Clinical Forecasting.

Jeremy C. Weiss

Proceedings of the Machine Learning for Health Workshop, 2020

Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches.

Juyong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar

Proceedings of the Machine Learning for Health Workshop, 2020

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning.

Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss

Proceedings of the Artificial Intelligence in Medicine, 2020

Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate.

Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction.

Yoonjung Kim, Jeremy C. Weiss

CoRR, 2019

2017

Piecewise-constant parametric approximations for survival learning.

Jeremy C. Weiss

Proceedings of the Machine Learning for Health Care Conference, 2017

2015

Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution.

Jeremy C. Weiss, Finn Kuusisto, Kendrick Boyd, Jie Liu, David Page

Proceedings of the AMIA 2015, 2015

Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks.

Jeremy C. Weiss, Sriraam Natarajan, C. David Page Jr.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Forest-Based Point Process for Event Prediction from Electronic Health Records.

Jeremy C. Weiss, David Page

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning When to Reject an Importance Sample.

Jeremy C. Weiss, Sriraam Natarajan, C. David Page Jr.

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records.

Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page

AI Mag., 2012

Multiplicative Forests for Continuous-Time Processes.

Jeremy C. Weiss, Sriraam Natarajan, David Page

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records.

Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page

Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012