262 citations · 439 across the 13 of their papers we have counts for
15 papers
EMG subspace alignment and visualization for cross-subject hand gesture classification
Martin Colot, Cédric Simar, Mathieu Petieau +3
Electromyograms (EMG)-based hand gesture recognition systems are a promising technology for human/machine interfaces. However, one of their main limitations is the long calibration…
A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection
Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli +1
Many-Objective Feature Selection (MOFS) approaches use four or more objectives to determine the relevance of a subset of features in a supervised learning task. As a consequence, M…
Uplift vs. predictive modeling: a theoretical analysis
Théo Verhelst, Robin Petit, Wouter Verbeke +1
Despite the growing popularity of machine-learning techniques in decision-making, the added value of causal-oriented strategies with respect to pure machine-learning approaches has…
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives
Danele Lunghi, Alkis Simitsis, Olivier Caelen +1
Data economy relies on data-driven systems and complex machine learning applications are fueled by them. Unfortunately, however, machine learning models are exposed to fraudulent a…
Traffic Modeling with SUMO: a Tutorial
Davide Andrea Guastella, Eladio Montero-Porras, Alejandro Morales-Hernández +1
This paper presents a step-by-step guide to generating and simulating a traffic scenario using the open-source simulation tool SUMO. It introduces the common pipeline used to gener…
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment
Théo Verhelst, Denis Mercier, Jeevan Shrestha +1
Counterfactuals are central in causal human reasoning and the scientific discovery process. The uplift, also called conditional average treatment effect, measures the causal effect…