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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 -
Constraint-aware Optimization in Auto-Tuning2026 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Floris-Jan Willemsen, Stijn Heldens, Rob V. van Nieuwpoort, Ben van Werkhoven
0citations -
POS0535 QUERY ALGORITHMS AND MACHINE LEARNING METHODS AS TOOLS TO IDENTIFY COMORBIDITIES IN LARGE-SCALE FREE-TEXT BASED FIELDS: A CASE-REPORT2021 Annals of the Rheumatic Diseases conference-abstract Computer Science Machine Learning in Healthcare Open access
Dieter Roehrich, T. Maarseveen, Alfons A den Broeder, Călin D. Popa, Rachel Knevel
0citations -
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 -
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Kirill Antonov, Marijn E. Siemons, Bas van Stein, Thomas Bäck, Ralf Kohlhaas, Anna V. Kononova
1citations -
Standardized Evaluation of Current Ultrasound Bone Segmentation Algorithms on Multiple Datasets2022 EPiC series in health sciences conference-paper Computer Science Medical Image Segmentation Techniques Open access
Benjamin Hohlmann, Peter Brößner, Ilker Hacihaliloglu, Keiran Barr, Tamás Ungi, Oliver Zettinig, +9 more
4citations -
Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization2020 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access
Chu Yi, Chuan Wen Luo, Holger H. Hoos, Qingwei Lin, Haihang You
0citations -
MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler2024 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López‐Ibáñez, +2 more
0citations -
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke
17citations -
Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation2021 Frontiers in Neuroinformatics article Computer Science Data Mining Algorithms and Applications Open access
Florian Porrmann, Sarah Pilz, Alessandra Stella, Alexander Kleinjohann, Michael Denker, Jens Hagemeyer, +1 more
8citations -
Biomedical Image Analysis Challenges (BIAS) Reporting Guideline2020 Zenodo (CERN European Organization for Nuclear Research) other Computer Science Medical Image Segmentation Techniques Open access
Lena Maier‐Hein, Annika Reinke, Michal Kozubek, Anne Louise Martel, Tal Arbel, Matthias Eisenmann, +8 more
3citations -
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti
0citations -
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables2025 Journal of Statistical Software software-paper Computer Science Bayesian Methods and Mixture Models Open access
Sacha Morin, Robin Legault, Félix Laliberté, Zsuzsa Bakk, Charles‐Édouard Giguère, Roxane de la Sablonnière, +1 more
37citations -
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables2023 arXiv (Cornell University) software-paper Computer Science Bayesian Methods and Mixture Models Open access
Sacha Morin, Robin Legault, Zsuzsa Bakk, Charles‐Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse
8citations