A Real-Time Software Architecture for Robotics and Automation. - Jonathan M. Roberts; Peter I. Corke; Robin J. Kirkham; Frédéric Pennerath; Graeme J. Winstanley (ICRA, 1999)

Robust Sensing for a 3, 500 Tonne Field Robot. - Jonathan M. Roberts; Frédéric Pennerath; Peter I. Corke; Graeme J. Winstanley (ICRA, 1999)

La fouille de graphes dans les bases de données réactionnelles au service de la synthèse en chimie organique. - Frédéric Pennerath; Amedeo Napoli (EGC, 2006)

Mining Intervals of Graphs to Extract Characteristic Reaction Patterns. - Frédéric Pennerath; Géraldine Polaillon; Amedeo Napoli (Discovery Science, 2008)

A Method for Classifying Vertices of Labeled Graphs Applied to Knowledge Discovery from Molecules. - Frédéric Pennerath; Géraldine Polaillon; Amedeo Napoli (ECAI, 2008)

Prétraitement des bases de données de réactions chimiques pour la fouille de schémas de réactions. - Frédéric Pennerath; Géraldine Polaillon; Amedeo Napoli (EGC, 2008)

The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases. - Frédéric Pennerath; Amedeo Napoli (ECML/PKDD (2), 2009)

Méthodes d'extraction de connaissances à partir de données modélisables par des graphes. Application à des problèmes de synthèse organique. (Methods of knowledge extraction from data modelled by graphs. Application to organic synthesis problems). - Frédéric Pennerath (2009)

Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations. - Frédéric Pennerath (ECML/PKDD (3), 2010)

Graph-Mining Algorithm for the Evaluation of Bond Formability. - Frédéric Pennerath; Gilles Niel; Philippe Vismara; Philippe Jauffret; Claude Laurenço; Amedeo Napoli (J. Chem. Inf. Model., 2010)

L'extraction de règles de dépendance bien définies entre ensembles de variables multivaluées. - Frédéric Pennerath (EGC, 2012)

An Efficient Algorithm for Computing Entropic Measures of Feature Subsets. - Frédéric Pennerath (ECML/PKDD (2), 2018)

Discovering Approximate Functional Dependencies using Smoothed Mutual Information. - Frédéric Pennerath; Panagiotis Mandros; Jilles Vreeken (KDD, 2020)

A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. - Claire Theobald; Bastien Arcelin; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (ECML/PKDD (5), 2021)

A Bayesian Neural Network based on Dropout Regulation. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (CoRR, 2021)

Clarity: an improved gradient method for producing quality visual counterfactual explanations. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (CoRR, 2022)

Clarity: a Deep Ensemble for Visual Counterfactual Explanations. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (ESANN, 2024)

On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss. - Mohammed Fellaji; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro (ECML/PKDD (4), 2024)

The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks. - Mohammed Fellaji; Frédéric Pennerath (CoRR, 2024)