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Crwgan: A Data Generation Technique to Enhance Surrogate-Assisted Optimization Problems

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Mode standardization: A practical countermeasure against mode collapse of GAN-based signal synthesis
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Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery
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Two decades of blackbox optimization applications
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Application of Physics-Informed Neural Networks for forward and inverse analysis of pile–soil interaction
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FuzzyGAN: Fuzzy generative adversarial networks for regression tasks
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Study of Prevention of Mode Collapse in Generative Adversarial Network (GAN)
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Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision
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Isolation Forest
inferredcites →https://doi.org/10.1109/tevc.2016.2555315openalex-extracted
Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System
inferredcites →https://doi.org/10.1109/tevc.2018.2869001openalex-extracted
Data-Driven Evolutionary Optimization: An Overview and Case Studies
inferredcites →https://doi.org/10.1109/tpami.2009.187openalex-extracted
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
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Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
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Towards dynamic algorithm selection for numerical black-box optimization
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A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications
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A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation
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Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems
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A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
inferredcites →https://doi.org/10.1287/ijoc.2018.0864openalex-extracted
Surrogate Optimization of Computationally Expensive Black-Box Problems with Hidden Constraints
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ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
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Benchmarking Regression Methods: A comparison with CGAN
inferredcites →https://doi.org/10.48550/arxiv.2002.04632openalex-extracted
Black-Box Optimization with Local Generative Surrogates
inferredcites →https://doi.org/10.48550/arxiv.2002.08605openalex-extracted
Optimizing Black-box Metrics with Adaptive Surrogates
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The Vendi Score: A Diversity Evaluation Metric for Machine Learning
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Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
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