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Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research., , , , и . CoRR, (2023)On the potential of normalized TSP features for automated algorithm selection., , , , , и . FOGA, стр. 7:1-7:15. ACM, (2021)A study on the effects of normalized TSP features for automated algorithm selection., , , , , и . Theor. Comput. Sci., 940 (Part): 123-145 (2023)Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem., , , , и . PPSN (1), том 12269 из Lecture Notes in Computer Science, стр. 48-64. Springer, (2020)Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries., , и . IJCNN, стр. 1-8. IEEE, (2020)<tt>RP-Mod</tt>&<tt>RP-Crowd: </tt> Moderator- and Crowd-Annotated German News Comment Datasets., , , , , и . NeurIPS Datasets and Benchmarks, (2021)Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches., , , , и . ICWSM Workshops, (2022)Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems., , и . CoRR, (2024)FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News., , , , , , и . MISDOOM, том 12259 из Lecture Notes in Computer Science, стр. 218-232. Springer, (2020)Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization., , , и . SSCI, стр. 1-8. IEEE, (2021)