| Comparison of graph node distances on clustering tasks F Sommer, F Fouss, M Saerens Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | 33 | 2016 |
| Modularity-Driven Kernel k-means for Community Detection F Sommer, F Fouss, M Saerens Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 13 | 2017 |
| Recommender systems: the case of repeated interaction in matrix factorization F Sommer, F Lecron, F Fouss Proceedings of the International Conference on Web Intelligence, 843-847, 2017 | 3 | 2017 |
| Clustering using a Sum-Over-Forests weighted kernel k-means approach F Sommer, F Fouss, M Saerens | 1 | 2015 |
| COMMISSION DOCTORALE DES SCIENCES ECONOMIQUES ET DE GESTION F SOMMER Université de Namur, 2017 | | 2017 |
| Social network analysis using graphs, applications in clustering and recommender systems F Sommer UCL-Université Catholique de Louvain, 2017 | | 2017 |
| Learning with product graphs and multiple labels F Sommer, F Fouss | | 2014 |
| Antecedents of supplier innovation: The impact of desorptive capacity C Blome, C Bode, F Sommer 3rd Annual Conference of the European Decision Sciences Institute, 2012 | | 2012 |
| Identifying and comparing user roles across companies in organizational social networks F Sommer, F Lambotte, PD de Chassart | | |
| Les causes et conséquences managériales du stress induit par le cloud T Soudant, F Fouss, F Sommer | | |
