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Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search.

, , и . IJCNN, стр. 1-10. IEEE, (2023)

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Valéria Marcondes

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Marcondes Lima Costa

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Steffen Lucas

 

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Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems., , и . BRACIS (1), том 13073 из Lecture Notes in Computer Science, стр. 155-169. Springer, (2021)Local Optima Network Sampling for Permutation Flowshop., , и . CEC, стр. 1131-1138. IEEE, (2021)Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search., , и . IJCNN, стр. 1-10. IEEE, (2023)Meta-learning on flowshop using fitness landscape analysis., , и . GECCO, стр. 925-933. ACM, (2019)An evolutionary search algorithm for efficient ResNet-based architectures: a case study on gender recognition., , , , , и . CEC, стр. 1-10. IEEE, (2022)Flowshop NEH-Based Heuristic Recommendation., , и . EvoCOP, том 12692 из Lecture Notes in Computer Science, стр. 136-151. Springer, (2021)An experience report on how remote device access tools helped mobile developers during the COVID-19 pandemic., , , и . ICSSP/ICGSE, стр. 115-119. ACM, (2022)A real-world case study for automated ticket team assignment using natural language processing and explainable models., и . ASE, стр. 141:1-141:3. ACM, (2022)A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration., , и . BRACIS (1), том 13653 из Lecture Notes in Computer Science, стр. 325-339. Springer, (2022)Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design., , и . BRACIS, стр. 163-168. IEEE Computer Society, (2018)