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Assessing the Generalizability of a Performance Predictive Model2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, +3 more
0citations -
AIxcellent Vibes at GermEval 2025 Shared Task on Candy Speech Detection: Improving Model Performance by Span-Level Training2025 arXiv (Cornell University) preprint Computer Science Hate Speech and Cyberbullying Detection Open access
Christian Rene Thelen, Patrick Gustav Blaneck, Tobias Bornheim, Niklas Grieger, Stephan Bialonski
0citations -
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe
2citations -
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, +4 more
2citations -
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Carola Doerr, Peter Korošec, Tome Eftimov
1citations -
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr
3citations -
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access
Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte, Marwin Saehn, Peter Isfort, Christiane Katharina Kuhl, +3 more
3citations -
Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access
Lennard C. Froma, Tom Kouwenhoven, Maaike de Boer, Catholijn M. Jonker, Max J. van Duijn
0citations -
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access
Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio
0citations