Jeremy C. Weiss

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Conditional Independence

Top Venues

Publications

George H. Chen, Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss
Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate. Artif. Intell. Medicine 154 (2024)
Gabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, Diego Salazar, Smitha Edakalavan, Jeremy C. Weiss
Using Multimodal Data to Improve Precision of Inpatient Event Timelines. PKDD (4) (2024)
Cheng Cheng, Jeremy C. Weiss
Typed Markers and Context for Clinical Temporal Relation Extraction. MLHC (2023)
Wenbin Zhang, Jeremy C. Weiss
Fairness with censorship and group constraints. Knowl. Inf. Syst. 65 (6) (2023)
Wenbin Zhang, Jeremy C. Weiss
Fair Decision-making Under Uncertainty. CoRR (2023)
Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. CoRR (2023)
Wenbin Zhang, Tina Hernandez-Boussard, Jeremy C. Weiss
Censored Fairness through Awareness. AAAI (2023)
Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss
Individual Fairness Under Uncertainty. ECAI (2023)
Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. ML4H@NeurIPS (2023)
Wenbin Zhang, Juyong Kim, Zichong Wang, Pradeep Ravikumar, Jeremy C. Weiss
Individual Fairness Guarantee in Learning with Censorship. CoRR (2023)
Wenbin Zhang, Jeremy C. Weiss
Longitudinal Fairness with Censorship. CoRR (2022)
Juyong Kim, Jeremy C. Weiss, Pradeep Ravikumar
Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence. CHIL (2022)
Wenbin Zhang, Jeremy C. Weiss, Shuigeng Zhou, Toby Walsh
Fairness Amidst Non-IID Graph Data: A Literature Review. CoRR (2022)
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. CoRR (2022)
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. AMIA (2022)
Wenbin Zhang, Jeremy C. Weiss
Longitudinal Fairness with Censorship. AAAI (2022)
Juyong Kim, Abheesht Sharma, Suhas Shanbhogue, Jeremy C. Weiss, Pradeep Ravikumar
AnEMIC: A Framework for Benchmarking ICD Coding Models. EMNLP (Demos) (2022)
Cheng Cheng, Jason Kennedy, Christopher Seymour, Jeremy C. Weiss
Disentangled Hyperspherical Clustering for Sepsis Phenotyping. AIME (2021)
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
FARF: A Fair and Adaptive Random Forests Classifier. PAKDD (2) (2021)
Wenbin Zhang, Jeremy C. Weiss
Fair Decision-making Under Uncertainty. ICDM (2021)
Xuejian Wang, Wenbin Zhang, Aishwarya Jadhav, Jeremy C. Weiss
Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk. SPACA (2021)
Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
FARF: A Fair and Adaptive Random Forests Classifier. CoRR (2021)
Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton
Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data. AMIA (2021)
Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. AIME (2020)
Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. CoRR (2020)
Juyong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar
Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches. ML4H@NeurIPS (2020)
Jeremy C. Weiss
TL-Lite: Temporal Visualization and Learning for Clinical Forecasting. ML4H@NeurIPS (2020)
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. AIME (2020)
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning. CoRR (2020)
Yoonjung Kim, Jeremy C. Weiss
Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction. CoRR (2019)
Jeremy C. Weiss
Piecewise-constant parametric approximations for survival learning. MLHC (2017)
Jeremy C. Weiss, Finn Kuusisto, Kendrick Boyd, Jie Liu, David Page
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution. AMIA (2015)
Jeremy C. Weiss, Sriraam Natarajan, C. David Page Jr.
Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks. AAAI (2015)
Jeremy C. Weiss, David Page
Forest-Based Point Process for Event Prediction from Electronic Health Records. ECML/PKDD (3) (2013)
Jeremy C. Weiss, Sriraam Natarajan, C. David Page Jr.
Learning When to Reject an Importance Sample. AAAI (Late-Breaking Developments) (2013)
Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page
Machine Learning for Personalized Medicine: Predicting Primary Myocardial Infarction from Electronic Health Records. AI Mag. 33 (4) (2012)
Jeremy C. Weiss, Sriraam Natarajan, Peggy L. Peissig, Catherine A. McCarty, David Page
Statistical Relational Learning to Predict Primary Myocardial Infarction from Electronic Health Records. IAAI (2012)
Jeremy C. Weiss, Sriraam Natarajan, David Page
Multiplicative Forests for Continuous-Time Processes. NIPS (2012)