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Nirandika Wanigasekara
Nirandika Wanigasekara
Data Scientist at IBM
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Student Emotion, Co-occurrence, and Dropout in a MOOC Context
J Dillon, N Bosch, M Chetlur, N Wanigasekara, GA Ambrose, B Sengupta, ...
Proceedings of the 9th International Conference on Educational Data Mining, 2016
892016
A Bandit Approach for Intelligent IoT Service Composition across Heterogeneous Smart Spaces
N Wanigasekara, J Schmalfuss, D Carlson, DS Rosenblum
Proceedings of the 6th International Conference on the Internet of Things …, 2016
302016
Nonparametric contextual bandits in an unknown metric space
N Wanigasekara, CL Yu
Advances in Neural Information Processing Systems 32, 14684-14694, 2019
22*2019
Student affect during learning with a MOOC
J Dillon, GA Ambrose, N Wanigasekara, M Chetlur, P Dey, B Sengupta, ...
Proceedings of the sixth international conference on learning analytics …, 2016
212016
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking
DS Wanigasekara, Nirandika and Liang, Yuxuan and Goh, Siong Thye and Liu, Ye ...
International Joint Conferences on Artificial Intelligence Organization …, 2019
15*2019
A semi lazy bandit approach for intelligent service discovery in iot applications
N Wanigasekara
Adjunct Proceedings of the 2015 ACM International Joint Conference on …, 2015
82015
Upgrading Search Applications in the Era of LLMs: A Demonstration with Practical Lessons
S Yu, N Wanigasekara, J Tan, K Fitch, J Sen
Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024
22024
BuddyFS: A File-System to Improve Data Deduplication in Virtualization Environments
N Wanigasekara, CI Keppittiyagama
2014 Eighth International Conference on Complex, Intelligent and Software …, 2014
12014
DECISION MODELS FOR CONTEXT-AWARE IOT APPLICATIONS
N WANIGASEKARA
2019
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Articles 1–9