Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model. - Alireza Ghods 002; Diane J. Cook (CoRR, 2019)

A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization. - Alireza Ghods 002; Diane J. Cook (CoRR, 2019)

Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home. - Alireza Ghods 002; Kathleen Caffrey; Beiyu Lin; Kylie Fraga; Roschelle Fritz; Maureen Schmitter-Edgecombe; Christopher D. Hundhausen; Diane J. Cook (IEEE J. Biomed. Health Informatics, 2019)

Creating Interpretable Data-Driven Approaches for Remote Health Monitoring. - Alireza Ghods 002 (AAAI, 2021)

A survey of deep network techniques all classifiers can adopt. - Alireza Ghods 002; Diane J. Cook (Data Min. Knowl. Discov., 2021)

PIP: Pictorial Interpretable Prototype Learning for Time Series Classification. - Alireza Ghods 002; Diane J. Cook (IEEE Comput. Intell. Mag., 2022)

Summer Programming Camps - Exploring Project-Based Informal CS Education in a Rural Community. - Carla De Lira; Rachel Min Wong; Olufunso Oje; Gabriel Nketah; Olusola O. Adesope; Alireza Ghods 002 (Int. J. Comput. Sci. Educ. Sch., 2022)

Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization. - Alireza Ghods 002; Trong Nghia Hoang; Diane J. Cook (CoRR, 2023)