Marine Collery - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Expressive classification rule learning with an emphasis on learning from sequential data. (Apprentissage de règles de classification expressives notamment à partir de données séquentielles)Marine Collery. PhD thesis, Polytechnic Institute of Paris, Palaiseau, France, 2023. [doi]

Neural-based classification rule learning for sequential dataMarine Collery, Philippe Bonnard, François Fages, Remy Kusters. iclr 2023: [doi]

2022

Learning Binary Classification Rules for Sequential DataMarine Collery, Remy Kusters. IJCAI 2022: [doi]

Differentiable Rule Induction with Learned Relational FeaturesRemy Kusters, Yusik Kim, Marine Collery, Christian de Sainte Marie, Shubham Gupta. nesy 2022: 30-44 [doi]

2021

Rule Learning from Time-Dependent Data Applied to Fraud DetectionMarine Collery. ruleml 2021: [doi]

2017

Social talk: making conversation with people and machineEmer Gilmartin, Marine Collery, Ketong Su, Yuyun Huang, Christy Elias, Benjamin R. Cowan, Nick Campbell. icmi 2017: 31-32 [doi]

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