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A Potential-based Framework for Online Multi-class Learning with Partial Feedback., , and . AISTATS, volume 9 of JMLR Proceedings, page 900-907. JMLR.org, (2010)Generalized Maximum Margin Clustering and Unsupervised Kernel Learning., and . NIPS, page 1417-1424. MIT Press, (2006)Multiplicity Boost Of Transit Signal Classifiers: Validation of 69 New Exoplanets Using The Multiplicity Boost of ExoMiner., , , , , and . CoRR, (2023)A Prototype-driven Framework for Change Detection in Data Stream Classification., and . CIDM, page 88-95. IEEE, (2007)Learning to trade off between exploration and exploitation in multiclass bandit prediction., , and . KDD, page 204-212. ACM, (2011)A Probabilistic Substructure-Based Approach for Graph Classification., , , and . ICTAI (1), page 346-349. IEEE Computer Society, (2007)Learning to Rank by Optimizing NDCG Measure., , , and . NIPS, page 1883-1891. Curran Associates, Inc., (2009)Semi-Supervised Boosting for Multi-Class Classification., , and . ECML/PKDD (2), volume 5212 of Lecture Notes in Computer Science, page 522-537. Springer, (2008)ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets., , , , , , , , , and 3 other author(s). CoRR, (2021)Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems., , , , and . J. Aerosp. Inf. Syst., 13 (4): 161-173 (2016)