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Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Diederick Vermetten, Hao Wang, Manuel López‐Ibáñez, Carola Doerr, Thomas Bäck
1citations -
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization2021 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
3citations -
Generating synthetic mixed discrete-continuous health records with mixed sum-product networks2022 Journal of the American Medical Informatics Association article Computer Science Privacy-Preserving Technologies in Data Open access
Shannon K. S. Kroes, Matthijs van Leeuwen, Rolf H. H. Groenwold, Mart P. Janssen
6citations -
Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Andrii Kurkin, Ulysse Chabaud, Zoltán Kolarovszki, Bence Bakó, Zoltán Zimborás, Vedran Dunjko
0citations -
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 -
A Novel Intrusion Detection Method Based on Lightweight Neural Network for Internet of Things2021 IEEE Internet of Things Journal article Computer Science Network Security and Intrusion Detection
Ruijie Zhao, Guan Gui, Zhi Xue, Jie Yin, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, +1 more
225citations