activity
20202025
most citedRadius selection using kernel density estimation for the computation of nonlinear measures

15 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Biomechanically consistent real-time action recognition for human-robot interaction

Wanchen Li, Kahina Chalabi, Sabbah Maxime +5

This paper presents a novel framework for real-time human action recognition in industrial contexts, using standard 2D cameras. We introduce a complete pipeline for robust and real…

cs.LG2025★ 1 cited

Explainable Evidential Clustering

Victor F. Lopes de Souza, Karima Bakhti, Sofiane Ramdani +2

Unsupervised classification is a fundamental machine learning problem. Real-world data often contain imperfections, characterized by uncertainty and imprecision, which are not well…

stat.ME2024★ 15 cited

Radius selection using kernel density estimation for the computation of nonlinear measures

Johan Medrano, Abderrahmane Kheddar, Annick Lesne +1

When nonlinear measures are estimated from sampled temporal signals with finite-length, a radius parameter must be carefully selected to avoid a poor estimation. These measures are…

stat.ME2024

Assessing Time Series Correlation Significance: A Parametric Approach with Application to Physiological Signals

Johan Medrano, Abderrahmane Kheddar, Sofiane Ramdani

Correlation coefficients play a pivotal role in quantifying linear relationships between random variables. Yet, their application to time series data is very challenging due to tem…

cs.CV2020★ 1 cited

A Deep Learning Framework for Recognizing both Static and Dynamic Gestures

Osama Mazhar, Sofiane Ramdani, Andrea Cherubini

Intuitive user interfaces are indispensable to interact with the human centric smart environments. In this paper, we propose a unified framework that recognizes both static and dyn…