Intelligent applications design in automotive infortainment systems. - Hao-Chan Ting; Shih-Sheng Chen; Kevin Labille; Yu-Wen Tsai; Yen-Hsiang Chen; Shanq-Jang Ruan (APCCAS, 2012)

Conceptual Impact-Based Recommender System for CiteSeerx. - Kevin Labille; Susan Gauch; Ann Smittu Joseph (CBRecSys@RecSys, 2015)

Estimating Sentiment via Probability and Information Theory. - Kevin Labille; Sultan Alfarhood; Susan Gauch (KDIR, 2016)

Text Mining for Word Sentiment Detection. - Kevin Labille; Susan Gauch; Sultan Alfarhood (IC3K, 2016)

Incorporating popularity in a personalized news recommender system. - Nirmal Jonnalagedda; Susan Gauch; Kevin Labille; Sultan Alfarhood (PeerJ Comput. Sci., 2016)

Employing Link Differentiation in Linked Data Semantic Distance. - Sultan Alfarhood; Susan Gauch; Kevin Labille (KESW, 2017)

PLDSD: Propagated Linked Data Semantic Distance. - Sultan Alfarhood; Kevin Labille; Susan Gauch (WETICE, 2017)

Semantic Distance Spreading Across Entities in Linked Open Data. - Sultan Alfarhood; Susan Gauch; Kevin Labille (Inf., 2019)

Fairness-aware Bandit-based Recommendation. - Wen Huang 003; Kevin Labille; Xintao Wu; Dongwon Lee 001; Neil T. Heffernan (IEEE BigData, 2021)

Transferable Contextual Bandits with Prior Observations. - Kevin Labille; Wen Huang 003; Xintao Wu (PAKDD (2), 2021)

Achieving User-Side Fairness in Contextual Bandits. - Wen Huang 003; Kevin Labille; Xintao Wu; Dongwon Lee 001; Neil T. Heffernan (Hum. Centric Intell. Syst., 2022)