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Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions2024 BMC Bioinformatics software-paper Computer Science Machine Learning and Data Classification Open access
Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
5citations -
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Privacy-Preserving Technologies in Data Open access
Xinyuan Ji, Zhaowei Zhu, Xi Wei, Olga Gadyatskaya, Zilong Song, Yang Liu
31citations -
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access
Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
1citations -
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Yujie Li, Xiangkun Wang, Xin Yang, Marcello Bonsangue, Junbo Zhang, Tianrui Li
1citations -
Replication and Exploration of Generative Retrieval over Dynamic Corpora2025 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, +3 more
1citations