Kevin Françoisse
Kevin Françoisse
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An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification
F Fouss, K Francoisse, L Yen, A Pirotte, M Saerens
Neural networks 31, 53-72, 2012
The sum-over-paths covariance kernel: A novel covariance measure between nodes of a directed graph
A Mantrach, L Yen, J Callut, K Francoisse, M Shimbo, M Saerens
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (6), 1112-1126, 2009
Semi-supervised classification from discriminative random walks
J Callut, K Françoisse, M Saerens, P Dupont
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
A bag-of-paths framework for network data analysis
K Françoisse, I Kivimäki, A Mantrach, F Rossi, M Saerens
Neural Networks 90, 90-111, 2017
Semisupervised classification through the bag-of-paths group betweenness
B Lebichot, I Kivimäki, K Françoisse, M Saerens
IEEE Transactions on Neural Networks and Learning Systems 25 (6), 1173-1186, 2013
Classification in graphs using discriminative random walks
J Callut, K Françoisse, M Saerens, P Dupont
MLG, 2008
A link-analysis-based discriminant analysis for exploring partially labeled graphs
K Françoisse, F Fouss, M Saerens
Pattern Recognition Letters 34 (2), 146-154, 2013
Classification in Graphs using Discriminative Random Walks Semi-supervised learning, large graphs, betweenness measure, passage times
J Callut, K Françoisse, M Saerens, P Dupont
Entity Similarity through word embedding and Named Entity Recognition using word vectors
Q Gusbin, N Vrielynck, M Saerens, K Françoisse
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