François Fouss

39 papers A* 2B 6Journal 17Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
No evaluation without fair representation : Impact of label and selection bias on the evaluation, performance and mitigation of classification models.
CoRR
Magali Legast, Toon Calders, François Fouss
2025 — conf
Influence of Label and Selection Bias on Fairness Interventions.
EWAF
Magali Legast, Toon Calders, François Fouss
2025 J jnl
Understanding the impact of sustainability-oriented recommender systems on consumers' choices.
Electron. Commer. Res. Appl.
Chloe Satinet, Caroline Ducarroz, François Fouss
2024 J jnl
In-processing and post-processing strategies for balancing accuracy and sustainability in product recommendations.
Electron. Commer. Res. Appl.
Chloe Satinet, François Fouss, Marco Saerens, Pierre Leleux
2021 J jnl
A Closer-to-Reality Model for Comparing Relevant Dimensions of Recommender Systems, with Application to Novelty.
Inf.
François Fouss, Elora Fernandes
2021 — conf
Filter bubbles created by collaborative filtering algorithms themselves, fact or fiction? An experimental comparison.
WI/IAT (Workshop/Special Session)
Flore Vancompernolle Vromman, François Fouss
2018 J jnl
An optimization model for collaborative recommendation using a covariance-based regularizer.
Data Min. Knowl. Discov.
Fabian Lecron, François Fouss
2017 — conf
Modularity-Driven Kernel k-means for Community Detection.
ICANN (2)
Felix Sommer, François Fouss, Marco Saerens
2017 B conf
Recommender systems: the case of repeated interaction in matrix factorization.
WI
Felix Sommer, Fabian Lecron, François Fouss
2016 — conf
Comparison of Graph Node Distances on Clustering Tasks.
ICANN (1)
Felix Sommer, François Fouss, Marco Saerens
2014 B conf
Improving accuracy by reducing the importance of hubs in nearest-neighbor recommendations.
ESANN
François Fouss, Clémentine Van Parijs
2014 J jnl
The Sum-over-Forests Density Index: Identifying Dense Regions in a Graph.
IEEE Trans. Pattern Anal. Mach. Intell.
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
2014 B conf
The Sum-over-Forests clustering.
ESANN
Mathieu Senelle, Marco Saerens, François Fouss
2013 J jnl
A link-analysis-based discriminant analysis for exploring partially labeled graphs.
Pattern Recognit. Lett.
Kevin Françoisse, François Fouss, Marco Saerens
2013 J jnl
The Sum-over-Forests density index: identifying dense regions in a graph
CoRR
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
2012 J jnl
An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification.
Neural Networks
François Fouss, Kevin Françoisse, Luh Yen, Alain Pirotte, Marco Saerens
2011 J jnl
A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases.
IEEE Trans. Knowl. Data Eng.
Luh Yen, Marco Saerens, François Fouss
2011 — conf
A simple-cycles weighted kernel based on harmony structure for similarity retrieval.
ISMIR
Silvia García-Díez, Marco Saerens, Mathieu Senelle, François Fouss
2011 J jnl
A sum-over-paths extension of edit distances accounting for all sequence alignments.
Pattern Recognit.
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
2010 J jnl
A probabilistic reputation model based on transaction ratings.
Inf. Sci.
François Fouss, Youssef Achbany, Marco Saerens
2010 B conf
Normalized Sum-over-Paths Edit Distances.
ICPR
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
2009 J jnl
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study.
Data Knowl. Eng.
Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
2009 J jnl
Randomized Shortest-Path Problems: Two Related Models.
Neural Comput.
Marco Saerens, Youssef Achbany, François Fouss, Luh Yen
2008 — conf
A Framework for QoS Driven Selection of Services.
IEEE SCC (2)
Caroline Herssens, Stéphane Faulkner, François Fouss, Ivan Jureta
2008 J jnl
Continually Learning Optimal Allocations of Services to Tasks.
IEEE Trans. Serv. Comput.
Youssef Achbany, Ivan Jureta, Stéphane Faulkner, François Fouss
2008 — conf
Evaluating Performance of Recommender Systems: An Experimental Comparison.
Web Intelligence
François Fouss, Marco Saerens
2008 J jnl
Tuning continual exploration in reinforcement learning: An optimality property of the Boltzmann strategy.
Neurocomputing
Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
2007 B conf
Graph Nodes Clustering Based on the Commute-Time Kernel.
PAKDD
Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
2007 — —
Measures of similarity on graphs : Investigation and application to collaborative recommendation.
François Fouss
2007 J jnl
Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation.
IEEE Trans. Knowl. Data Eng.
François Fouss, Alain Pirotte, Jean-Michel Renders, Marco Saerens
2006 A* conf
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task.
ICDM
François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
2006 — conf
Optimal Tuning of Continual Online Exploration in Reinforcement Learning.
ICANN (1)
Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
2005 — conf
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation.
Web Intelligence
François Fouss, Alain Pirotte, Marco Saerens
2005 — conf
HITS is Principal Components Analysis.
Web Intelligence
Marco Saerens, François Fouss
2005 — conf
Web Recommendation System Based on a Markov-Chainmodel.
ICEIS (4)
François Fouss, Stéphane Faulkner, Manuel Kolp, Alain Pirotte, Marco Saerens
2005 B conf
clustering using a random walk based distance measure.
ESANN
Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens
2004 — conf
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering.
ECML
Marco Saerens, François Fouss, Luh Yen, Pierre Dupont
2004 — conf
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach.
Multiple Classifier Systems
Marco Saerens, François Fouss
2003 A* conf
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains.
ICDM
François Fouss, Marco Saerens, Jean-Michel Renders