SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning. - Taylor R. Mauldin; Marc E. Canby; Vangelis Metsis; Anne H. H. Ngu; Coralys Cubero Rivera (Sensors, 2018)

Experimentation and Analysis of Ensemble Deep Learning in IoT Applications. - Taylor R. Mauldin; Anne H. H. Ngu; Vangelis Metsis; Marc E. Canby; Jelena Tesic (Open J. Internet Things, 2019)

University of Illinois Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. - Marc E. Canby; Aidana Karipbayeva; Bryan Lunt; Sahand Mozaffari; Charlotte Yoder; Julia Hockenmaier (SIGMORPHON, 2020)

Ensemble Deep Learning on Wearables Using Small Datasets. - Taylor R. Mauldin; Anne H. H. Ngu; Vangelis Metsis; Marc E. Canby (ACM Trans. Comput. Heal., 2021)

A Framework for Bidirectional Decoding: Case Study in Morphological Inflection. - Marc E. Canby; Julia Hockenmaier (EMNLP (Findings), 2023)

Measuring the Reliability of Causal Probing Methods: Tradeoffs, Limitations, and the Plight of Nullifying Interventions. - Marc E. Canby; Adam Davies; Chirag Rastogi; Julia Hockenmaier (CoRR, 2024)

LinguiPhyR: A Package for Linguistic Phylogenetic Analysis in R. - Marc E. Canby (J. Open Source Softw., 2024)

Benchmarking Query-Conditioned Natural Language Inference. - Marc E. Canby; Xinchi Chen; Xing Niu 001; Jifan Chen; Bonan Min; Sergül Aydöre; Vittorio Castelli (ACL (Findings), 2025)

Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality. - Sewoong Lee; Adam Davies; Marc E. Canby; Julia Hockenmaier (CoRR, 2025)