François Fouss

ORCID

Publication Activity (10 Years)

Years Active: 2003-2021
Publications (10 Years): 6

Top Venues

Catholic University of Louvain, Louvain-la-Neuve, Belgium (PHD)

Education History

Catholic University of Louvain, Louvain-la-Neuve, Belgium

PHD

Publications

Flore Vancompernolle Vromman, François Fouss
Filter bubbles created by collaborative filtering algorithms themselves, fact or fiction? An experimental comparison. WI/IAT (Workshop/Special Session) (2021)
François Fouss, Elora Fernandes
A Closer-to-Reality Model for Comparing Relevant Dimensions of Recommender Systems, with Application to Novelty. Inf. 12 (12) (2021)
Fabian Lecron, François Fouss
An optimization model for collaborative recommendation using a covariance-based regularizer. Data Min. Knowl. Discov. 32 (3) (2018)
Felix Sommer, Fabian Lecron, François Fouss
Recommender systems: the case of repeated interaction in matrix factorization. WI (2017)
Felix Sommer, François Fouss, Marco Saerens
Modularity-Driven Kernel k-means for Community Detection. ICANN (2) (2017)
Felix Sommer, François Fouss, Marco Saerens
Comparison of Graph Node Distances on Clustering Tasks. ICANN (1) (2016)
Mathieu Senelle, Marco Saerens, François Fouss
The Sum-over-Forests clustering. ESANN (2014)
François Fouss, Clémentine Van Parijs
Improving accuracy by reducing the importance of hubs in nearest-neighbor recommendations. ESANN (2014)
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
The Sum-over-Forests Density Index: Identifying Dense Regions in a Graph. IEEE Trans. Pattern Anal. Mach. Intell. 36 (6) (2014)
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens, François Fouss
The Sum-over-Forests density index: identifying dense regions in a graph CoRR (2013)
Kevin Françoisse, François Fouss, Marco Saerens
A link-analysis-based discriminant analysis for exploring partially labeled graphs. Pattern Recognit. Lett. 34 (2) (2013)
François Fouss, Kevin Françoisse, Luh Yen, Alain Pirotte, Marco Saerens
An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification. Neural Networks 31 (2012)
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
A sum-over-paths extension of edit distances accounting for all sequence alignments. Pattern Recognit. 44 (6) (2011)
Luh Yen, Marco Saerens, François Fouss
A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases. IEEE Trans. Knowl. Data Eng. 23 (4) (2011)
Silvia García-Díez, Marco Saerens, Mathieu Senelle, François Fouss
A simple-cycles weighted kernel based on harmony structure for similarity retrieval. ISMIR (2011)
François Fouss, Youssef Achbany, Marco Saerens
A probabilistic reputation model based on transaction ratings. Inf. Sci. 180 (11) (2010)
Silvia García-Díez, François Fouss, Masashi Shimbo, Marco Saerens
Normalized Sum-over-Paths Edit Distances. ICPR (2010)
Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study. Data Knowl. Eng. 68 (3) (2009)
Marco Saerens, Youssef Achbany, François Fouss, Luh Yen
Randomized Shortest-Path Problems: Two Related Models. Neural Comput. 21 (8) (2009)
Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
Tuning continual exploration in reinforcement learning: An optimality property of the Boltzmann strategy. Neurocomputing 71 (13-15) (2008)
Caroline Herssens, Stéphane Faulkner, François Fouss, Ivan Jureta
A Framework for QoS Driven Selection of Services. IEEE SCC (2) (2008)
François Fouss, Marco Saerens
Evaluating Performance of Recommender Systems: An Experimental Comparison. Web Intelligence (2008)
Youssef Achbany, Ivan Jureta, Stéphane Faulkner, François Fouss
Continually Learning Optimal Allocations of Services to Tasks. IEEE Trans. Serv. Comput. 1 (3) (2008)
François Fouss, Alain Pirotte, Jean-Michel Renders, Marco Saerens
Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation. IEEE Trans. Knowl. Data Eng. 19 (3) (2007)
Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens
Graph Nodes Clustering Based on the Commute-Time Kernel. PAKDD (2007)
Youssef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
Optimal Tuning of Continual Online Exploration in Reinforcement Learning. ICANN (1) (2006)
François Fouss, Luh Yen, Alain Pirotte, Marco Saerens
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task. ICDM (2006)
François Fouss, Stéphane Faulkner, Manuel Kolp, Alain Pirotte, Marco Saerens
Web Recommendation System Based on a Markov-Chainmodel. ICEIS (4) (2005)
François Fouss, Alain Pirotte, Marco Saerens
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation. Web Intelligence (2005)
Marco Saerens, François Fouss
HITS is Principal Components Analysis. Web Intelligence (2005)
Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens
clustering using a random walk based distance measure. ESANN (2005)
Marco Saerens, François Fouss, Luh Yen, Pierre Dupont
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. ECML (2004)
Marco Saerens, François Fouss
Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach. Multiple Classifier Systems (2004)
François Fouss, Marco Saerens, Jean-Michel Renders
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains. ICDM (2003)

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Publication Activity (10 Years)

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François Fouss