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ORCIDFrédéric Pennerath
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Books and Theses
- 2009
[b1]Frédéric Pennerath:
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). Henri Poincaré University, Nancy, France, 2009
Journal Articles
- 2010
- [j1]Frédéric Pennerath, Gilles Niel, Philippe Vismara, Philippe Jauffret, Claude Laurenço, Amedeo Napoli:
Graph-Mining Algorithm for the Evaluation of Bond Formability. J. Chem. Inf. Model. 50(2): 221-239 (2010)
Conference and Workshop Papers
- 2024
- [c13]Mohammed Fellaji, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro:
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss. ECML/PKDD (4) 2024: 160-176 - 2021
- [c12]Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro
, Amedeo Napoli:
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. ECML/PKDD (5) 2021: 135-150 - 2020
- [c11]Frédéric Pennerath, Panagiotis Mandros, Jilles Vreeken:
Discovering Approximate Functional Dependencies using Smoothed Mutual Information. KDD 2020: 1254-1264 - 2018
- [c10]Frédéric Pennerath:
An Efficient Algorithm for Computing Entropic Measures of Feature Subsets. ECML/PKDD (2) 2018: 483-499 - 2012
- [c9]Frédéric Pennerath:
L'extraction de règles de dépendance bien définies entre ensembles de variables multivaluées. EGC 2012: 249-254 - 2010
- [c8]Frédéric Pennerath:
Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations. ECML/PKDD (3) 2010: 34-49 - 2009
- [c7]Frédéric Pennerath, Amedeo Napoli:
The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases. ECML/PKDD (2) 2009: 205-220 - 2008
- [c6]Frédéric Pennerath, Géraldine Polaillon, Amedeo Napoli:
Mining Intervals of Graphs to Extract Characteristic Reaction Patterns. Discovery Science 2008: 210-221 - [c5]Frédéric Pennerath, Géraldine Polaillon, Amedeo Napoli:
A Method for Classifying Vertices of Labeled Graphs Applied to Knowledge Discovery from Molecules. ECAI 2008: 147-151 - [c4]Frédéric Pennerath, Géraldine Polaillon, Amedeo Napoli:
Prétraitement des bases de données de réactions chimiques pour la fouille de schémas de réactions. EGC 2008: 547-558 - 2006
- [c3]Frédéric Pennerath, Amedeo Napoli:
La fouille de graphes dans les bases de données réactionnelles au service de la synthèse en chimie organique. EGC 2006: 517-528 - 1999
- [c2]Jonathan M. Roberts, Peter I. Corke, Robin J. Kirkham, Frédéric Pennerath, Graeme J. Winstanley:
A Real-Time Software Architecture for Robotics and Automation. ICRA 1999: 1158-1163 - [c1]Jonathan M. Roberts, Frédéric Pennerath, Peter I. Corke, Graeme J. Winstanley:
Robust Sensing for a 3, 500 Tonne Field Robot. ICRA 1999: 2723-2728
Informal and Other Publications
- 2024
- [i5]Mohammed Fellaji, Frédéric Pennerath:
The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks. CoRR abs/2407.01985 (2024) - [i4]Mohammed Fellaji, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro:
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss. CoRR abs/2407.12211 (2024) - 2022
- [i3]Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
Clarity: an improved gradient method for producing quality visual counterfactual explanations. CoRR abs/2211.15370 (2022) - 2021
- [i2]Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Neural Network based on Dropout Regulation. CoRR abs/2102.01968 (2021) - [i1]Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli:
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. CoRR abs/2104.09970 (2021)
Coauthor Index
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