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Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , and 15 other author(s). HAL, (September 2020)Towards automated computer vision: analysis of the AutoCV challenges 2019., , , , , , , , and . Pattern Recognit. Lett., (2020)Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform., , , , , , , and . Patterns, 3 (7): 100543 (2022)Judging competitions and benchmarks: a candidate election approach., , and . ESANN, (2021)Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design., , , , , and . CoRR, (2022)Assessing privacy and quality of synthetic health data., , , , , and . AIDR, page 8:1-8:4. ACM, (2019)Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019., , , , , , , , , and 15 other author(s). IEEE Trans. Pattern Anal. Mach. Intell., 43 (9): 3108-3125 (2021)AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity., , , , and . CoRR, (2024)Generation and evaluation of privacy preserving synthetic health data., , , , , and . Neurocomputing, (2020)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , and 15 other author(s). IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)To appear.