References of "Brun, Armelle"
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See detailContrast classification rules for mining local differences in medical data
Aleksandrova, Marharyta UL; Chertov, Oleg; Brun, Armelle et al

in Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2017 9th IEEE International Conference on (2017)

Detailed reference viewed: 56 (3 UL)
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See detailAutomatic Identification of Trigger Factors: a Possibility for Chance Discovery
Aleksandrova, Marharyta UL; Brun, Armelle; Chertov, Oleg et al

in 2nd European Workshop on Chance Discovery and Data Synthesis (EWCDDS16) (2016)

Detailed reference viewed: 35 (1 UL)
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See detailSets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors
Aleksandrova, Marharyta UL; Brun, Armelle; Chertov, Oleg et al

in Tools with Artificial Intelligence (ICTAI), 2016 IEEE 28th International Conference on (2016)

Detailed reference viewed: 49 (2 UL)
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See detailSets of Contrasting Rules to Identify Trigger Factors.
Aleksandrova, Marharyta UL; Brun, Armelle; Chertov, Oleg et al

in ECAI (2016)

Detailed reference viewed: 30 (1 UL)
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See detailIdentifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem
Aleksandrova, Marharyta UL; Brun, Armelle; Boyer, Anne et al

in Journal of Intelligent Information Systems (2016)

Detailed reference viewed: 103 (15 UL)
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See detailCan Latent Features Be Interpreted as Users in Matrix Factorization-Based Recommender Systems?
Brun, Armelle; Aleksandrova, Marharyta UL; Boyer, Anne

in Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)-Volume 02 (2014)

Detailed reference viewed: 55 (0 UL)
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See detailSearch for user-related features in matrix factorization-based recommender systems
Aleksandrova, Marharyta UL; Brun, Armelle; Boyer, Anne et al

in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2014), PhD Session Proceedings (2014)

Detailed reference viewed: 37 (0 UL)