Taha Hassan
Taha Hassan
Department of Computer Science, Virginia Tech
Verified email at vt.edu - Homepage
Cited by
Cited by
An empirical investigation of VI trajectory based load signatures for non-intrusive load monitoring
T Hassan, F Javed, N Arshad
IEEE Transactions on Smart Grid 5 (2), 870-878, 2014
Trust and trustworthiness in social recommender systems
T Hassan, DS McCrickard
Companion Proceedings of The 2019 World Wide Web Conference, 529-532, 2019
Bi-level characterization of manual setup residential non-intrusive demand disaggregation using enhanced differential evolution
T Hassan
Proc. 1st Int. Workshop Non-Intrusive Load Monitoring, 2012
On bias in social reviews of university courses
T Hassan
Companion Publication of the 10th ACM Conference on Web Science (WebSci '19 …, 2019
Collaborative filtering for household load prediction given contextual information
T Hassan, N Arshad, E Dahlquist, DS McCrickard
SDM '17 Workshop on Machine Learning for Recommender Systems (MLRec '17 …, 2017
Depth of use: an empirical framework to help gauge the relative impact of learning management system tools
T Hassan, B Edmison, L Cox II, M Louvet, D Williams, DS McCrickard
Proceedings of the 25th ACM Conference on Innovation and Technology in …, 2020
Exploring the context of course rankings on online academic forums
T Hassan, B Edmison, L Cox II, M Louvet, D Williams
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
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