Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data - Archive ouverte HAL
Communication Dans Un Congrès Année : 2020

Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data

Sara Tari
Operational Research, Knowledge And Data
Nicolas Szczepanski
Operational Research, Knowledge And Data
Lucien Mousin
Operational Research, Knowledge And Data
Institut Catholique de Lille
Julie Jacques
Operational Research, Knowledge And Data
Institut Catholique de Lille
Marie-Eléonore Kessaci
Operational Research, Knowledge And Data
CV
Laetitia Jourdan
Operational Research, Knowledge And Data
CV

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Recherche opérationnelle [math.OC]

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https://hal.science/hal-02935096

Soumis le : jeudi 10 septembre 2020-08:58:58

Dernière modification le : samedi 1 juin 2024-03:10:59

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hal-02935096 , version 1 (10-09-2020)

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Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, et al.. Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. 2020 IEEE Congress on Evolutionary Computation (CEC), Jul 2020, Glasgow, United Kingdom. pp.1-8, ⟨10.1109/CEC48606.2020.9185785⟩. ⟨hal-02935096⟩

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