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 (IAAI, 2012)

Multiplicative Forests for Continuous-Time Processes. - Jeremy C. Weiss; Sriraam Natarajan; David Page (NIPS, 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)

Learning When to Reject an Importance Sample. - Jeremy C. Weiss; Sriraam Natarajan; C. David Page Jr. (AAAI (Late-Breaking Developments), 2013)

Maps for Reasoning in Ultimate. - Jeremy C. Weiss; Sean Childers (MLSA@PKDD/ECML, 2013)

Forest-Based Point Process for Event Prediction from Electronic Health Records. - Jeremy C. Weiss; David Page (ECML/PKDD (3), 2013)

Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks. - Jeremy C. Weiss; Sriraam Natarajan; C. David Page Jr. (AAAI, 2015)

Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution. - Jeremy C. Weiss; Finn Kuusisto; Kendrick Boyd; Jie Liu 006; David Page (AMIA, 2015)

Piecewise-constant parametric approximations for survival learning. - Jeremy C. Weiss (MLHC, 2017)

Bicluster phenotyping of healthcare providers, procedures, and prescriptions at scale with deep learning. - Nathanael Fillmore; Ansh Mehta; Jeremy C. Weiss (AIH@IJCAI, 2018)

Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data. - Nathanael Fillmore; Sergey Goryachev; Jeremy C. Weiss (AMIA, 2019)

Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction. - Yoonjung Kim; Jeremy C. Weiss (CoRR, 2019)

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. - Helen Zhou; Cheng Cheng 001; Zachary C. Lipton; George H. Chen; Jeremy C. Weiss (AIME, 2020)

Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches. - Juyong Kim 002; Linyuan Gong; Justin Khim; Jeremy C. Weiss; Pradeep Ravikumar (ML4H@NeurIPS, 2020)

TL-Lite: Temporal Visualization and Learning for Clinical Forecasting. - Jeremy C. Weiss (ML4H@NeurIPS, 2020)

Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning. - Helen Zhou; Cheng Cheng 001; Zachary C. Lipton; George H. Chen; Jeremy C. Weiss (CoRR, 2020)

Disentangled Hyperspherical Clustering for Sepsis Phenotyping. - Cheng Cheng 001; Jason N. Kennedy; Christopher W. Seymour; Jeremy C. Weiss (AIME, 2021)

Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data. - Cheng Cheng 001; Helen Zhou; Jeremy C. Weiss; Zachary C. Lipton (AMIA, 2021)

Fair Decision-making Under Uncertainty. - Wenbin Zhang 002; Jeremy C. Weiss (ICDM, 2021)

FARF: A Fair and Adaptive Random Forests Classifier. - Wenbin Zhang 002; Albert Bifet; Xiangliang Zhang 001; Jeremy C. Weiss; Wolfgang Nejdl (PAKDD (2), 2021)

Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk. - Xuejian Wang; Wenbin Zhang 002; Aishwarya Jadhav; Jeremy C. Weiss (SPACA, 2021)

Wavelet Reconstruction Networks for Marked Point Processes. - Jeremy C. Weiss (SPACA, 2021)

Longitudinal Fairness with Censorship. - Wenbin Zhang 002; Jeremy C. Weiss (AAAI, 2022)

Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. - Helen Zhou; Cheng Cheng 001; Kelly J. Shields; Gursimran Kochhar; Tariq Cheema; Zachary C. Lipton; Jeremy C. Weiss (AMIA, 2022)

Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence. - Juyong Kim 002; Jeremy C. Weiss; Pradeep Ravikumar (CHIL, 2022)

AnEMIC: A Framework for Benchmarking ICD Coding Models. - Juyong Kim 002; Abheesht Sharma; Suhas Shanbhogue; Jeremy C. Weiss; Pradeep Ravikumar (EMNLP (Demos), 2022)

Fairness Amidst Non-IID Graph Data: A Literature Review. - Wenbin Zhang 002; Jeremy C. Weiss; Shuigeng Zhou; Toby Walsh (CoRR, 2022)

Censored Fairness through Awareness. - Wenbin Zhang 002; Tina Hernandez-Boussard; Jeremy C. Weiss (AAAI, 2023)

Individual Fairness Under Uncertainty. - Wenbin Zhang 002; Zichong Wang; Juyong Kim 002; Cheng Cheng 001; Thomas Oommen; Pradeep Ravikumar; Jeremy C. Weiss (ECAI, 2023)

Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. - Shahriar Noroozizadeh; Jeremy C. Weiss; George H. Chen (ML4H@NeurIPS, 2023)

Typed Markers and Context for Clinical Temporal Relation Extraction. - Cheng Cheng 001; Jeremy C. Weiss (MLHC, 2023)

Individual Fairness Guarantee in Learning with Censorship. - Wenbin Zhang 002; Juyong Kim 002; Zichong Wang; Pradeep Ravikumar; Jeremy C. Weiss (CoRR, 2023)

Fairness with censorship and group constraints. - Wenbin Zhang 002; Jeremy C. Weiss (Knowl. Inf. Syst., 2023)

Using Multimodal Data to Improve Precision of Inpatient Event Timelines. - Gabriel Frattallone-Llado; Juyong Kim 002; Cheng Cheng 001; Diego Salazar; Smitha Edakalavan; Jeremy C. Weiss (PKDD (4), 2024)

Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate. - George H. Chen; Linhong Li; Ren Zuo; Amanda Coston; Jeremy C. Weiss (Artif. Intell. Medicine, 2024)

The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis. - Shahriar Noroozizadeh; Pim Welle; Jeremy C. Weiss; George H. Chen (CHIL, 2025)

Forecasting from Clinical Textual Time Series: Adaptations of the Encoder and Decoder Language Model Families. - Shahriar Noroozizadeh; Sayantan Kumar; Jeremy C. Weiss (CoRR, 2025)

Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis. - Shahriar Noroozizadeh; Jeremy C. Weiss (CoRR, 2025)

A Large-Language Model Framework for Relative Timeline Extraction from PubMed Case Reports. - Jing Wang; Jeremy C. Weiss (CoRR, 2025)

MIMIC-IV-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction. - Jing Wang; Xing Niu 001; Juyong Kim 002; Jie Shen; Tong Zhang; Jeremy C. Weiss (CoRR, 2025)

PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus. - Shahriar Noroozizadeh; Sayantan Kumar; George H. Chen; Jeremy C. Weiss (CoRR, 2025)

Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2. - Jing Wang; Amar Sra; Jeremy C. Weiss (CoRR, 2025)