Eric Languenou

In April/May 2025, Christophe Hurter (ENAC, Toulouse) and I will present our latest research at the Computer Human Interface (CHI 2025) conference in Yokohama, Japan. Our work focuses on the extraction and analysis of the color-related knowledge embedded in recent AI systems, including deep learning...

June the 1st 2022. I have published on HAL a research report,

Title: "Importance Driven Color Assignment"

Subtitle: "Importance Driven Color-Group Assignment in Categorical Visualization"

on my latest work about assigning colors to classes for categorical data visualizations.

February the 17th, 2023. With the publication of a paper in the conference IVAPP2023, I just publish, on GitLab, an R language package for class-color assignment in categorical visualization.

Hypertubes and reduction operators in constraint solving

The thesis of M. Christie (co-supervised with F. Benhamou) defended in 2003 was the occasion for a theoretical deepening on interval techniques.

In 2014, the need for projection from multi-dimensional spaces toward 2D or 3D appears. From the 12 audio indicators provided by Echonest (now within spotify) to 2 dimensions or else 1 dimension. We had already used PCA (principal Component Analysis) but Self Organizing Map (SOM) and their algorithms were fascinating.