INSPIRE

ordpy: A Python package for data analysis with permutation entropy and ordinal network methods

Since Bandt and Pompe’s seminal work, permutation entropy has been used in several applications and is now an essential tool for time series analysis. Beyond becoming a popular and successful ...
IEEE

Unimodal Distributions for Ordinal Regression

Abstract: In many real-world prediction tasks, the class labels contain information about the relative order between the labels that are not captured by commonly used loss functions such as ...
GitHub

Designing an Encoder for StyleGAN Image Manipulation (SIGGRAPH 2021)

Designing an Encoder for StyleGAN Image Manipulation (SIGGRAPH 2021) Recently, there has been a surge of diverse methods for performing image editing by employing pre-trained unconditional generators.
IEEE

Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers

Abstract: Real-world classification problems may disclose different hierarchical levels where the categories are displayed in an ordinal structure. However, no specific deep learning (DL) models ...