Matthew Engelhard

According to our database, Matthew Engelhard authored at least 29 papers between 2015 and 2025.

Collaborative distances:

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

2025

CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization.

Minghui Sun, Benjamin Alan Goldstein, Matthew M. Engelhard

CoRR, July, 2025

Infinite hierarchical contrastive clustering for personal digital envirotyping.

Ya-Yun Huang, F. Joseph McClernon, Jason A. Oliver, Matthew M. Engelhard

CoRR, May, 2025

Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model.

Yuankang Zhao, Matthew Engelhard

CoRR, April, 2025

Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models.

Matthew Engelhard, Daniel Wojdyla, Haoyuan Wang, Michael J. Pencina, Ricardo Henao

Artif. Intell. Medicine, 2025

Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation.

Mengying Yan, Meng Xia, Wei Angel Huang, Chuan Hong, Benjamin Goldstein, Matthew M. Engelhard

Proceedings of the Conference on Health, 2025

IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences.

Fengnan Li, Elliot D. Hill, Jiang Shu, Jiaxin Gao, Matthew M. Engelhard

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Incorporating informatively collected laboratory data from EHR in clinical prediction models.

Minghui Sun, Matthew M. Engelhard, Armando Bedoya, Benjamin Goldstein

BMC Medical Informatics Decis. Mak., December, 2024

A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis.

Wei A. Huang, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein

J. Biomed. Informatics, 2024

Common Event Tethering to Improve Prediction of Rare Clinical Events.

Quinn Lanners, Qin Weng, Marie-Louise Meng, Matthew M. Engelhard

Proceedings of the Uncertainty in Artificial Intelligence, 2024

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models.

Boyao Li, Alexander Thomson, Houssam Nassif, Matthew Engelhard, David Page

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance.

Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page

Proceedings of the Machine Learning for Healthcare Conference, 2024

Adaptive Discretization for Event PredicTion (ADEPT).

Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Enhancing early autism prediction based on electronic records using clinical narratives.

Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson

J. Biomed. Informatics, August, 2023

Improving Event Time Prediction by Learning to Partition the Event Time Space.

Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew M. Engelhard

CoRR, 2023

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models.

Boyao Li, Alexandar J. Thomson, Matthew M. Engelhard, David Page

CoRR, 2023

2022

Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data.

Matthew Engelhard, Ricardo Henao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

SpanPredict: Extraction of Predictive Document Spans with Neural Attention.

Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Digital envirotyping: quantifying environmental determinants of health and behavior.

Matthew M. Engelhard, Jason A. Oliver, F. Joseph McClernon

npj Digit. Medicine, 2020

Neural Conditional Event Time Models.

Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

A Generic Algorithm for Sleep-Wake Cycle Detection using Unlabeled Actigraphy Data.

Shanshan Chen, Robert Perera, Matthew M. Engelhard, Jessica R. Lunsford-Avery, Scott H. Kollins, Bernard F. Fuemmeler

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.

Sriram Raju Dandu, Matthew M. Engelhard, Asma Qureshi, Jiaqi Gong, John C. Lach, Maïté Brandt-Pearce, Myla D. Goldman

IEEE J. Biomed. Health Informatics, 2018

Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model.

Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon

Proceedings of the Machine Learning for Healthcare Conference, 2018

2017

Remotely engaged: Lessons from remote monitoring in multiple sclerosis.

Matthew M. Engelhard, Stephen D. Patek, Kristina Sheridan, John C. Lach, Myla D. Goldman

Int. J. Medical Informatics, 2017

Demonstrating the real-world significance of the mid-swing to heel strike part of the gait cycle using spectral features.

Asma Qureshi, Matthew M. Engelhard, Maïté Brandt-Pearce, Myla D. Goldman

Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017

Relationship between kernel density function estimates of gait time series and clinical data.

Asma Qureshi, Maïté Brandt-Pearce, Matthew M. Engelhard, Myla D. Goldman

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Adaptive symptom reporting for mobile patient-reported disability assessment.

Matthew M. Engelhard, John C. Lach, Karen M. Schmidt, Myla D. Goldman, Stephen D. Patek

Proceedings of the 2016 IEEE Wireless Health, 2016

Determining physiological significance of inertial gait features in multiple sclerosis.

Sriram Raju Dandu, Matthew Engelhard, Myla D. Goldman, John C. Lach

Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

2015

Correlations between Inertial Body Sensor Measures and Clinical Measures in Multiple Sclerosis.

Jiaqi Gong, Matthew Engelhard, Myla D. Goldman, John C. Lach

Proceedings of the 10th EAI International Conference on Body Area Networks, 2015

Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping.

Matthew Engelhard, Sriram Raju Dandu, John C. Lach, Myla D. Goldman, Stephen D. Patek

Proceedings of the 10th EAI International Conference on Body Area Networks, 2015