François Fouss - researchr alias

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Viewing Publication 1 - 31 from 31

2021

A Closer-to-Reality Model for Comparing Relevant Dimensions of Recommender Systems, with Application to NoveltyFrançois Fouss, Elora Fernandes. information, 12(12):500, 2021. [doi]

Filter bubbles created by collaborative filtering algorithms themselves, fact or fiction? An experimental comparisonFlore Vancompernolle Vromman, François Fouss. webi 2021: 153-159 [doi]

2018

An optimization model for collaborative recommendation using a covariance-based regularizerFabian Lecron, François Fouss. datamine, 32(3):651-674, 2018. [doi]

2017

Recommender systems: the case of repeated interaction in matrix factorizationFelix Sommer, Fabian Lecron, François Fouss. webi 2017: 843-847 [doi]

Modularity-Driven Kernel k-means for Community DetectionFelix Sommer, François Fouss, Marco Saerens. icann 2017: 423-433 [doi]

2016

Comparison of Graph Node Distances on Clustering TasksFelix Sommer, François Fouss, Marco Saerens. icann 2016: 192-201 [doi]

2014

2013

A link-analysis-based discriminant analysis for exploring partially labeled graphsKevin Françoisse, François Fouss, Marco Saerens. prl, 34(2):146-154, 2013. [doi]

2012

An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classificationFrançois Fouss, Kevin Françoisse, Luh Yen, Alain Pirotte, Marco Saerens. NN, 31:53-72, 2012. [doi]

2011

2010

Normalized Sum-over-Paths Edit DistancesSilvia Garcia Diez, François Fouss, Masashi Shimbo, Marco Saerens. icpr 2010: 1044-1047 [doi]

A probabilistic reputation model based on transaction ratingsFrançois Fouss, Youssef Achbany, Marco Saerens. isci, 180(11):2095-2123, 2010. [doi]

2008

2007

Measures of similarity on graphs : Investigation and application to collaborative recommendationFrançois Fouss. PhD thesis, Catholic University of Louvain, Louvain-la-Neuve, Belgium, 2007. [doi]

Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative RecommendationFrançois Fouss, Alain Pirotte, Jean-Michel Renders, Marco Saerens. tkde, 19(3):355-369, 2007. [doi]

Graph Nodes Clustering Based on the Commute-Time KernelLuh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens. pakdd 2007: 1037-1045 [doi]

2006

Optimal Tuning of Continual Online Exploration in Reinforcement LearningYoussef Achbany, François Fouss, Luh Yen, Alain Pirotte, Marco Saerens. icann 2006: 790-800 [doi]

An Experimental Investigation of Graph Kernels on a Collaborative Recommendation TaskFrançois Fouss, Luh Yen, Alain Pirotte, Marco Saerens. icdm 2006: 863-868 [doi]

2005

2004

The Principal Components Analysis of a Graph, and Its Relationships to Spectral ClusteringMarco Saerens, François Fouss, Luh Yen, Pierre Dupont. ecml 2004: 371-383 [doi]

Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy ApproachMarco Saerens, François Fouss. mcs 2004: 82-91 [doi]

2003

Links Between Kleinberg s Hubs and Authorities, Correspondence Analysis, and Markov ChainsFrançois Fouss, Marco Saerens, Jean-Michel Renders. icdm 2003: 521-524 [doi]

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