Kevin Labille

12 papers C 2Journal 4Unranked 6
YearRankTypeTitle / Venue / Authors
2022 J jnl
Achieving User-Side Fairness in Contextual Bandits.
Hum. Centric Intell. Syst.
Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan
2021 — conf
Fairness-aware Bandit-based Recommendation.
IEEE BigData
Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan
2021 — conf
Transferable Contextual Bandits with Prior Observations.
PAKDD (2)
Kevin Labille, Wen Huang, Xintao Wu
2020 J jnl
Achieving User-Side Fairness in Contextual Bandits.
CoRR
Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan
2019 J jnl
Semantic Distance Spreading Across Entities in Linked Open Data.
Inf.
Sultan Alfarhood, Susan Gauch, Kevin Labille
2017 — conf
Employing Link Differentiation in Linked Data Semantic Distance.
KESW
Sultan Alfarhood, Susan Gauch, Kevin Labille
2017 C conf
PLDSD: Propagated Linked Data Semantic Distance.
WETICE
Sultan Alfarhood, Kevin Labille, Susan Gauch
2016 — conf
Estimating Sentiment via Probability and Information Theory.
KDIR
Kevin Labille, Sultan Alfarhood, Susan Gauch
2016 J jnl
Incorporating popularity in a personalized news recommender system.
PeerJ Comput. Sci.
Nirmal Jonnalagedda, Susan Gauch, Kevin Labille, Sultan Alfarhood
2016 C conf
Text Mining for Word Sentiment Detection.
IC3K
Kevin Labille, Susan Gauch, Sultan Alfarhood
2015 — conf
Conceptual Impact-Based Recommender System for CiteSeerx.
CBRecSys@RecSys
Kevin Labille, Susan Gauch, Ann Smittu Joseph
2012 — conf
Intelligent applications design in automotive infortainment systems.
APCCAS
Hao-Chan Ting, Shih-Sheng Chen, Kevin Labille, Yu-Wen Tsai, Yen-Hsiang Chen, Shanq-Jang Ruan