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Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots.

, , , , , and . Knowl. Eng. Rev., (2022)

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Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning., , , and . ICPRAM (Revised Selected Papers), volume 12594 of Lecture Notes in Computer Science, page 87-111. Springer, (2020)YOLO-Based Face Mask Detection on Low-End Devices Using Pruning and Quantization., , , , and . MIPRO, page 900-905. IEEE, (2022)Speeding-up pruning for Artificial Neural Networks: Introducing Accelerated Iterative Magnitude Pruning., , , and . ICPR, page 3868-3875. IEEE, (2020)Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots., , , , , and . Knowl. Eng. Rev., (2022)On the Similarity between Hidden Layers of Pruned and Unpruned Convolutional Neural Networks., , , and . ICPRAM, page 52-59. SCITEPRESS, (2020)Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?, , , , and . xAI (2), volume 1902 of Communications in Computer and Information Science, page 420-432. Springer, (2023)An Artificial Intelligence System for Automatic Recognition of Punches in Fourteenth-Century Panel Painting., , , and . IEEE Access, (2023)Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots - Corrigendum., , , , , and . Knowl. Eng. Rev., (2022)On the effects of pruning on evolved neural controllers for soft robots., , , , and . GECCO Companion, page 1744-1752. ACM, (2021)Assessing Fairness in Open-Source Face Mask Detection Algorithms., and . HHAI Workshops, volume 3456 of CEUR Workshop Proceedings, page 74-95. CEUR-WS.org, (2023)