Papers matching “explainable machine learning” 66
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A Functional Analysis Approach to Symbolic Regression2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Bas van Stein, Anna V. Kononova
5citations -
Sparse Local Latents for Explainable Zero-Shot Reasoning in Medical Vision-Language Models2026 Lecture notes in computer science conference-paper Computer Science Multimodal Machine Learning Applications
Martin Goetze, Patrick Wienholt, Dennis Eschweiler, Marvin Gazibaric, Christiane Kuhl, Sven Nebelung, +1 more
0citations -
Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems2024 IEEE Transactions on Evolutionary Computation article Computer Science Explainable Artificial Intelligence (XAI) Open access
Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, +4 more
29citations -
Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, +4 more
2citations -
Explainable Benchmarking for Iterative Optimization Heuristics2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Metaheuristic Optimization Algorithms Research
Bas van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2citations -
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 IFAC-PapersOnLine article Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
6citations -
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
0citations -
Erklärbarkeit in KI-gestützter Differenzialdiagnostik von Lungenparenchymveränderungen in einer großen multizentrischen Kohorte2025 RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Benedikt Wichtlhuber, Andreas Michael Bucher, Paul Jacobs, Eric Frodl, Matthias Neitzel, Diane Miriam Renz, +3 more
0citations -
Gradient Free Multi-Objective Counterfactual Explainability for Multivariate Time Series Classification2025 IEEE International Conference on Big Data (BigData) conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas Bäck, Bas van Stein
0citations -
Capturing and Characterising Notional Machines2020 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) conference-paper Computer Science Teaching and Learning Programming Open access
Sally A. Fincher, Johan T. Jeuring, Craig S. Miller, Peter Donaldson, Benedict du Boulay, Matthias Hauswirth, +6 more
16citations