Alireza Ghods

According to our database, Alireza Ghods authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization.

Alireza Ghods, Trong Nghia Hoang, Diane J. Cook

CoRR, 2023

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

Int. J. Comput. Sci. Educ. Sch., 2022

PIP: Pictorial Interpretable Prototype Learning for Time Series Classification.

Alireza Ghods, Diane J. Cook

IEEE Comput. Intell. Mag., 2022

2021

A survey of deep network techniques all classifiers can adopt.

Alireza Ghods, Diane J. Cook

Data Min. Knowl. Discov., 2021

Creating Interpretable Data-Driven Approaches for Remote Health Monitoring.

Alireza Ghods

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home.

Alireza Ghods, Kathleen Caffrey, Beiyu Lin, Kylie Fraga, Roschelle Fritz, Maureen Schmitter-Edgecombe, Christopher D. Hundhausen, Diane J. Cook

IEEE J. Biomed. Health Informatics, 2019

A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization.

Alireza Ghods, Diane J. Cook

CoRR, 2019

Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model.

Alireza Ghods, Diane J. Cook

CoRR, 2019