Not finding it? Sign in to also search OpenAlex live.
-
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 -
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Renzo J. Scholman, Anton Bouter, Leah R. M. Dickhoff, Tanja Alderliesten, Peter A. N. Bosman
0citations -
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression2022 Journal of the American Medical Informatics Association article Computer Science Imbalanced Data Classification Techniques Open access
Ruben van den Goorbergh, Maarten van Smeden, Dirk Timmerman, Ben Van Calster
360citations -
Navigating the Low-Code Landscape: A Comparison of Development Platforms2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) conference-paper Computer Science Spreadsheets and End-User Computing
Jörg Christian Kirchhof, Nico Jansen, Bernhard Rumpe⋆, Andreas Wortmann
7citations -
Beneath the SURFace: An MRI-like View into the Life of a 21st Century Datacenter2020 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Cloud Computing and Resource Management Open access
Kristian Valur Laursen Olason, Alexandru Uta, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu
4citations -
Beneath the SURFace: An MRI-like View into the Life of a 21st Century Datacenter2020 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Cloud Computing and Resource Management Open access
Alexandru Uta, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu
2citations -
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