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Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019

, , , , , , , , , , , , , , , , , , , , , , , , и . IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)To appear.

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Rodrigo Pavão

Pavao tefanovi

Pavao Miki

Adrien Weingärtner

Adrien Schoof

 

Другие публикации лиц с тем же именем

Towards automated computer vision: analysis of the AutoCV challenges 2019., , , , , , , , и . Pattern Recognit. Lett., (2020)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , и 15 other автор(ы). HAL, (сентября 2020)Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design., , , , , и . CoRR, (2022)Judging competitions and benchmarks: a candidate election approach., , и . ESANN, (2021)Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform., , , , , , , и . Patterns, 3 (7): 100543 (2022)Generation and evaluation of privacy preserving synthetic health data., , , , , и . Neurocomputing, (2020)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019, , , , , , , , , и 15 other автор(ы). IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)To appear.Privacy Preserving Synthetic Health Data., , , , , и . ESANN, (2019)Filtering participants improves generalization in competitions and benchmarks., , и . ESANN, (2022)Assessing privacy and quality of synthetic health data., , , , , и . AIDR, стр. 8:1-8:4. ACM, (2019)