Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
GitHub

Swin-chart: An efficient approach for chart classification

Swin-Chart is a Swin Transformer-based model for chart classification across various datasets. It achieved first place in the chart classification task at the ICDAR 2023 CHART Infographics competition ...
Journal of Medical Internet Research

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

Background: The performance of a classification algorithm eventually reaches a point of diminishing returns, where the additional sample added does not improve the results. Thus, there is a need to ...
IEEE

Multilayer Evolving Fuzzy Neural Networks With Self-Adaptive Dimensionality Compression for High-Dimensional Data Classification

Abstract: High-dimensional data classification is widely considered as a challenging task in machine learning due to the so-called “curse of dimensionality.” In this article, a novel multilayer ...
IEEE

On Positive-Unlabeled Classification From Corrupted Data in GANs

Abstract: This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal ...