Matthew Engelhard

19 papers A* 1A 2C 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NEST: Nested Event Stream Transformer for Sequences of Multisets. CoRR Minghui Sun, Haoyu Gong, Xingyu You, Jillian H. Hurst, Benjamin Goldstein, Matthew Engelhard
2025	J	`jnl`	Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model. CoRR Yuankang Zhao, Matthew Engelhard
2025	J	`jnl`	Equitable Survival Prediction: A Fairness-Aware Survival Modeling (FASM) Approach. CoRR Mingxuan Liu, Yilin Ning, Haoyuan Wang, Chuan Hong, Matthew Engelhard, Danielle S. Bitterman, William G. La Cava, Nan Liu
2025	J	`jnl`	Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models. Artif. Intell. Medicine Matthew Engelhard, Daniel Wojdyla, Haoyuan Wang, Michael J. Pencina, Ricardo Henao
2025	—	`ed.`	Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 15-16 August 2025, Mayo Clinic, Rochester, MN, USA MLHC Monica Agrawal, Kaivalya Deshpande, Matthew Engelhard, Shalmali Joshi, Shengpu Tang, Iñigo Urteaga
2025	J	`jnl`	Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2024	J	`jnl`	A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. J. Biomed. Informatics Wei A. Huang, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein
2024	A	`conf`	Adaptive Discretization for Event PredicTion (ADEPT). AISTATS Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard
2024	A*	`conf`	On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models. NeurIPS Boyao Li, Alexander Thomson, Houssam Nassif, Matthew Engelhard, David Page
2023	J	`jnl`	Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson
2022	A	`conf`	Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data. AISTATS Matthew Engelhard, Ricardo Henao
2021	—	`conf`	SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin
2020	—	`conf`	Neural Conditional Event Time Models. MLHC Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao
2020	J	`jnl`	Neural Conditional Event Time Models. CoRR Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao
2018	—	`conf`	Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. MLHC Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon
2018	J	`jnl`	Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. CoRR Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon
2016	C	`conf`	Determining physiological significance of inertial gait features in multiple sclerosis. BSN Sriram Raju Dandu, Matthew Engelhard, Myla D. Goldman, John C. Lach
2015	—	`conf`	Correlations between Inertial Body Sensor Measures and Clinical Measures in Multiple Sclerosis. BODYNETS Jiaqi Gong, Matthew Engelhard, Myla D. Goldman, John C. Lach
2015	—	`conf`	Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping. BODYNETS Matthew Engelhard, Sriram Raju Dandu, John C. Lach, Myla D. Goldman, Stephen D. Patek