Computing Word Length in Alternate Presentations of Thompson's Group F. - Matthew Horak; Melanie Stein; Jennifer Taback (Int. J. Algebra Comput., 2009)

An energy-conserving algorithm for the collection and reporting of data in mobile sensor networks. - Matthew Horak; Shayma Alkobaisi; Wan D. Bae (MobiGIS, 2015)

A Bayesian Framework for Individual Exposure Estimation on Uncertain Paths. - Matthew Horak; Wan D. Bae; Shayma Alkobaisi; Sehjeong Kim; Wade Meyers (W2GIS, 2017)

A two-step approach to predictive modeling of individual-based environmental health risks. - Wan D. Bae; Matthew Horak; Shayma Alkobaisi; Sehjeong Kim; Sada Narayanappa; Choon-Sik Park; Da Jeong Bae (SAC, 2019)

Predictive and exposome analytics: A case study of asthma exacerbation management. - Shayma Alkobaisi; Wan D. Bae; Matthew Horak; Sada Narayanappa; Jongwon Lee; Eman AbuKhousa; Choon-Sik Park; Da Jung Bae (J. Ambient Intell. Smart Environ., 2019)

A study of the effectiveness of transfer learning in individualized asthma risk prediction. - Wan D. Bae; Shayma Alkobaisi; Matthew Horak; Sungroul Kim; Choon-Sik Park; Mark Chesney (SAC, 2021)

A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology. - Aaditya Prasad; Nikhil Mehta 004; Matthew Horak; Wan D. Bae (CoRR, 2021)

NLP Based Anomaly Detection for Categorical Time Series. - Matthew Horak; Sowmya Chandrasekaran; Giovanni Tobar (IRI, 2022)

A Two-Step Machine Learning Approach for Crop Disease Detection Using GAN and UAV Technology. - Aaditya Prasad; Nikhil Mehta 004; Matthew Horak; Wan D. Bae (Remote. Sens., 2022)

Improving Classification Performance on Rare Events in Data Starved Medical Applications. - Wan D. Bae; Angelo Alfonso; David Stanko; Lili Hao; Linh Le; Matthew Horak (MeMeA, 2023)

Improving Network Traffic Anomaly Detection through Data Denoising and Unsupervised Learning. - James Talbott; Joshua Palicka; Alexander Sheardown; Wan D. Bae; Matthew Horak (CCWC, 2024)

Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications. - Wan D. Bae; Shayma Alkobaisi; Matthew Horak; Siddheshwari Bankar; Sartaj Bhuvaji; Sungroul Kim; Choon-Sik Park (IEEE Access, 2025)