Matthew M. Engelhard

24 papers A 1C 1Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discrete Time Neural Network Models to Address Time-Varying Predictor Importance: An Illustration in Predicting Mortality Over Different Time Horizons. IEEE J. Biomed. Health Informatics Mufan Wang, Matthew M. Engelhard, Patrick H. Pun, Benjamin Alan Goldstein
2026	J	`jnl`	Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification. CoRR Yuqi Li, Matthew M. Engelhard
2026	J	`jnl`	Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment. CoRR Zigui Wang, Minghui Sun, Jiang Shu, Matthew M. Engelhard, Lauren Franz, Benjamin Alan Goldstein
2025	—	`conf`	Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model. MLHC Yuankang Zhao, Matthew M. Engelhard
2025	—	`conf`	Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning. MLHC Minghui Sun, Matthew M. Engelhard, Benjamin Goldstein
2025	J	`jnl`	Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning. CoRR Minghui Sun, Matthew M. Engelhard, Benjamin Alan Goldstein
2025	J	`jnl`	CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization. CoRR Minghui Sun, Benjamin Alan Goldstein, Matthew M. Engelhard
2025	J	`jnl`	FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport. CoRR Pengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin Alan Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2025	—	`conf`	IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences. ACL (1) Fengnan Li, Elliot D. Hill, Jiang Shu, Jiaxin Gao, Matthew M. Engelhard
2025	J	`jnl`	Infinite hierarchical contrastive clustering for personal digital envirotyping. CoRR Ya-Yun Huang, F. Joseph McClernon, Jason A. Oliver, Matthew M. Engelhard
2025	—	`conf`	Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation. CHIL Mengying Yan, Meng Xia, Wei Angel Huang, Chuan Hong, Benjamin Goldstein, Matthew M. Engelhard
2024	A	`conf`	Common Event Tethering to Improve Prediction of Rare Clinical Events. UAI Quinn Lanners, Qin Weng, Marie-Louise Meng, Matthew M. Engelhard
2024	J	`jnl`	Incorporating informatively collected laboratory data from EHR in clinical prediction models. BMC Medical Informatics Decis. Mak. Minghui Sun, Matthew M. Engelhard, Armando Bedoya, Benjamin Goldstein
2024	—	`conf`	MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance. MLHC Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page
2024	J	`jnl`	MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance. CoRR Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page
2023	J	`jnl`	Improving Event Time Prediction by Learning to Partition the Event Time Space. CoRR Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew M. Engelhard
2023	J	`jnl`	On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models. CoRR Boyao Li, Alexandar J. Thomson, Matthew M. Engelhard, David Page
2020	J	`jnl`	Digital envirotyping: quantifying environmental determinants of health and behavior. npj Digit. Medicine Matthew M. Engelhard, Jason A. Oliver, F. Joseph McClernon
2019	—	`conf`	A Generic Algorithm for Sleep-Wake Cycle Detection using Unlabeled Actigraphy Data. BHI Shanshan Chen, Robert Perera, Matthew M. Engelhard, Jessica R. Lunsford-Avery, Scott H. Kollins, Bernard F. Fuemmeler
2018	J	`jnl`	Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis. IEEE J. Biomed. Health Informatics Sriram Raju Dandu, Matthew M. Engelhard, Asma Qureshi, Jiaqi Gong, John C. Lach, Maïté Brandt-Pearce, Myla D. Goldman
2017	C	`conf`	Demonstrating the real-world significance of the mid-swing to heel strike part of the gait cycle using spectral features. BSN Asma Qureshi, Matthew M. Engelhard, Maïté Brandt-Pearce, Myla D. Goldman
2017	—	`conf`	Relationship between kernel density function estimates of gait time series and clinical data. BHI Asma Qureshi, Maïté Brandt-Pearce, Matthew M. Engelhard, Myla D. Goldman
2017	J	`jnl`	Remotely engaged: Lessons from remote monitoring in multiple sclerosis. Int. J. Medical Informatics Matthew M. Engelhard, Stephen D. Patek, Kristina Sheridan, John C. Lach, Myla D. Goldman
2016	—	`conf`	Adaptive symptom reporting for mobile patient-reported disability assessment. Wireless Health Matthew M. Engelhard, John C. Lach, Karen M. Schmidt, Myla D. Goldman, Stephen D. Patek