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- Data augmentation for time series regression: Applying transformations . . .
To evaluate our proposed augmentors, as a case study we forecast Belgian and Dutch day-ahead electricity market prices using both autoregressive models and artificial neural networks
- GENERATIVE ADVERSARIAL NETWORKS (GANS) FOR DATA AUGMENTATION
Additionally, we present case studies across different applications, including image classification, medical imaging, and natural language processing, demonstrating the efficacy of GAN-based
- Data Augmentation Techniques Using Generative Adversarial Networks . . .
Unlike the previous approaches based on transformation techniques, GANs can learn complex patterns and generate realistic synthetic data, which have virtually never been possible for fields and applications In this paper, 12 new GAN-augmentation strategies are proposed and implemented
- Using GANs for Data Augmentation - Baeldung
In this article, we talked about how we can use GANs for data augmentation First, we introduced the topics of data augmentation and generative models, and then we presented conditional GANs that can be used to generate very realistic samples
- Evolutionary conditional GANs for supervised data augmentation: The . . .
The objective of this work is the train and use of evolutionary conditional GANs for supervised data augmentation to improve the performance of deep learning regression models in the task of assessing berry number per cluster in grapevine
- [2111. 05328] Data Augmentation Can Improve Robustness
In this paper, we focus on reducing robust overfitting by using common data augmentation schemes We demonstrate that, contrary to previous findings, when combined with model weight averaging, data augmentation can significantly boost robust accuracy
- GT I GAN: A Generative Adversarial Network for Data Augmentation in . . .
GT I GAN offers the great advantage of generating conjointly the samples and their ground truths by a single model without needing an additional network We assess our approach on an image
- Generative Models in AI: A Comprehensive Comparison of GANs and VAEs
In this article, we'll delve into the intricacies of GANs and VAEs, exploring their key differences, similarities, and real-world applications What are GANs? What are VAEs? Before diving into the specifics of GANs and VAEs, it's essential to understand what generative models are
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