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Online Non-linear Gradient Boosting in Multi-latent Spaces.

, , , , and . IDA, volume 11191 of Lecture Notes in Computer Science, page 99-110. Springer, (2018)

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Online Non-linear Gradient Boosting in Multi-latent Spaces., , , , and . IDA, volume 11191 of Lecture Notes in Computer Science, page 99-110. Springer, (2018)Modèles de représentation textuels et méthodes d'apprentissage adaptés à l'identification d'auteurs., , and . EDA, volume B-13 of RNTI, page 161-162. Éditions RNTI, (2017)Privacy-Preserving Tree-Based Inference with TFHE., , , , , , and . MSPN, volume 14482 of Lecture Notes in Computer Science, page 139-156. Springer, (2023)Ensemble Learning for Extremely Imbalced Data Flows. (Apprentissage Ensembliste sur des flux de données extrêmement déséquilibrés).. University of Lyon, France, (2019)Master Your Metrics with Calibration., , , , and . IDA, volume 12080 of Lecture Notes in Computer Science, page 457-469. Springer, (2020)UJM at CLEF in Author Identification Notebook for PAN at CLEF 2014., , and . CLEF (Working Notes), volume 1180 of CEUR Workshop Proceedings, page 1042-1048. CEUR-WS.org, (2014)Machine Learning Training on Encrypted Data with TFHE., , , , and . IWSPA@CODASPY, page 71-76. ACM, (2024)Non-Linear Gradient Boosting for Class-Imbalance Learning., , , and . LIDTA@ECML/PKDD, volume 94 of Proceedings of Machine Learning Research, page 38-51. PMLR, (2018)Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection., , , , and . ECML/PKDD (1), volume 10534 of Lecture Notes in Computer Science, page 20-35. Springer, (2017)Deep Neural Networks for Encrypted Inference with TFHE., , , , , and . CSCML, volume 13914 of Lecture Notes in Computer Science, page 493-500. Springer, (2023)