2020

Depth of use: an empirical framework to help instructors gauge the relative impact of learning management system tools.
Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet, Daron Williams and D. Scott McCrickard
ACM ITICSE 2020 (Trondheim, Norway)
ACM | pdf


Mining the frequent use-contexts of learning management system tools and assessing their impact on learning outcomes.
Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet, Daron Williams and D. Scott McCrickard
Preprint, Aug 2020
pdf


2019

Exploring the context of course rankings on online forums.
Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet and Daron Williams
Proceedings of the 11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM '19), Aug 2019, Vancouver, BC
ACM | pdf

On bias in social reviews of university courses.
Taha Hassan
Companion Proceedings of the 11th ACM Conference on Web Science (WebSci '19 Companion), Jun 2019, Boston, MA
ACM | pdf

Trust and trustworthiness in social recommender systems.
Taha Hassan and D. Scott McCrickard
Companion Proceedings of the 2019 World Wide Web Conference (WWW '19 Companion), May 2019, San Francisco, CA
ACMpdf


2012 - 2018

Collaborative filtering for household load predictive given contextual information.
Taha Hassan, Naveed Arshad, Erik Dahlquist and D. Scott McCrickard
Proceedings of the SIAM Workshop on Machine Learning Methods for Recommender Systems (MLREC '17), held in conjunction with SDM '17, April 2017, Houston, TX
ACMpdf

An empirical investigation of VI-trajectory based load signatures for non-intrusive load monitoring.
Taha Hassan, Fahad Javed and Naveed Arshad
IEEE Transactions on Smart Grid, 2014. 
ieeeXplorepdf | scripts

Manual-setup non-intrusive disaggregation using enhanced differential evolution.
Taha Hassan
Proceedings of the First Int. Workshop on Non-Intr. Load Monitoring (NILM '12), 2012. ieeeXplorepdf