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Comparative Analysis of Indicators for Multi-objective Diversity Optimization2025 Lecture notes in computer science conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Ksenia Pereverdieva, Andre H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael Emmerich
4citations -
Comparative Analysis of Indicators for Multiobjective Diversity Optimization2024 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Ksenia Pereverdieva, Andre H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael Emmerich
0citations -
Exact stochastic constraint optimisation with applications in network analysis2021 Artificial Intelligence article Computer Science Constraint Satisfaction and Optimization Open access
Anna L. D. Latour, Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, Siegfried Nijssen
5citations -
A pre-expectation calculus for probabilistic sensitivity2021 Proceedings of the ACM on Programming Languages article Computer Science Logic, programming, and type systems Open access
Alejandro Aguirre, Gilles Barthe, Justin Hsu, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja
24citations -
Latticed k-Induction with an Application to Probabilistic Programs2021 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access
Kevin Batz, Mingshuai Chen, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Christoph Matheja, Philipp Schröer
21citations -
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis Open access
Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney
4citations