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Publications on Data Analytics and Machine Learning
Data Analytics and Machine Learning
2018
Lecron, Fabian ; Fouss, François. An Optimization Model for Collaborative Recommendation Using a Covariance-Based Regularizer. In: Data Mining and Knowledge Discovery, Vol. 32, no.3, p. 651-674 (2018). doi:10.1007/s10618-018-0552-3.
2017
Sommer, Félix ; Fouss, François ; Saerens, Marco. Modularity-driven kernel k-means for community detection. In: Lecture Notes in Computer Science - ICANN 2017 International Conference on Artificial Neural Networks, Vol. 10614, p. 423-433 (2017). doi:10.1007/978-3-319-68612-7_48.
2016
Sommer, Félix ; Fouss, François ; Saerens, Marco. Comparison of Graph Node Distances on Clustering Tasks. In: Lecture Notes in Computer Science - ICANN 2016 International Conference on Artificial Neural Networks, Vol. 9886, p. 192-201 (2016). doi:10.1007/978-3-319-44778-0_23.
2015
Fouss, François. Le Big Data est à nous!. In: La Libre, Vol. /, no./, p. / (2015).
2014
Senelle, Mathieu ; Garcia Diez, Silvia ; Mantrach, Amin ; Shimbo, Masashi ; Saerens, Marco ; Fouss, François. The Sum-over-Forests density index: identifying dense regions in a graph. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 36, no. 6, p. 1268-1274 (2014). doi:10.1109/TPAMI.2013.227.
2012
Françoisse, Kevin ; Fouss, François ; Saerens, Marco. A Link-Analysis-Based Discriminant Analysis for Exploring Partially Labeled Graphs. In: Pattern Recognition Letters, Vol. 34, no. 2, p. 146–154 (2013). doi:10.1016/j.patrec.2012.07.025.
2012
Fouss, François ; Françoisse, Kevin ; Yen, Luh ; Pirotte, Alain ; Saerens, Marco. An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification. In: Neural Networks, Vol. 31, p. 53-72 (2012). doi:10.1016/j.neunet.2012.03.001.
2011
Yen, Luh ; Saerens, Marco ; Fouss, François. A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases. In: IEEE Transactions on Knowledge and Data Engineering, Vol. 23, no.4, p. 481-495 (2011). doi:10.1109/TKDE.2010.142.
2011
Garcia Diez, Silvia ; Fouss, François ; Shimbo, Masashi ; Saerens, Marco. A sum-over-paths extension of edit distances accounting for all sequence alignments. In: Pattern Recognition, Vol. 44, no.6, p. 1172-1182 (2011). doi:10.1016/j.patcog.2010.11.020.
2010
Fouss, François ; Achbany, Youssef ; Saerens, Marco. A probabilistic reputation model based on transaction ratings. In: Information Sciences, Vol. 180, no. 11, p. 2095-2123 (Juin 2010). doi:10.1016/j.ins.2010.01.020.
2009
Yen, Luh ; Fouss, François ; Decaestecker, Christine ; Francq, Pascal ; Saerens, Marco. Graph nodes clustering with the sigmoid commute-time kernel: A comparative study. In: Data and Knowledge Engineering, Vol. 68, no. 3, p. 338-361 (Mars 2009). doi:10.1016/j.datak.2008.10.006.
2009
Saerens, Marco ; Fouss, François ; Achbany, Youssef ; Yen, Luh. Randomized shortest-path problems: Two related models. In: Neural computation, Vol. 21, no. 8, p. 2363-2404 (Août 2009). doi:10.1162/neco.2009.11-07-643.
2008
Achbany, Youssef ; Jureta, Ivan ; Faulkner, Stéphane ; Fouss, François. Continually Learning Optimal Web Service Compositions. In: IEEE Transactions on Services Computing, Vol. 1, Iss. 3, p. 141-154 (2008). doi:10.1109/TSC.2008.12.
2008
Achbany, Youssef ; Fouss, François ; Yen, Luh ; Pirotte, Alain ; Saerens, Marco. Tuning continual exploration in reinforcement learning: An optimality property of the Boltzmann strategy. In: Neurocomputing, Vol. 71, no. 13-15, p. 2507-2520 (2008). doi:10.1016/j.neucom.2007.11.040.
2007
Yen, Luh ; Saerens, Marco ; Francq, Pascal ; Decaestecker, Christine ; Fouss, François. Graph Nodes Clustering based on the Commute-Time Kernel. In: Lecture Notes in Computer Science, Vol. 4426, p. 1037-1045 (2007). doi:10.1007/978-3-540-71701-0_117.
2007
Fouss, François ; Pirotte, Alain ; Renders, Jean-Michel ; Saerens, Marco. Random-walk computation of similarities between nodes of a graph, with application to collaborative recommendation. In: IEEE Transactions on Knowledge and Data Engineering, Vol. 19, no. 3, p. 355-369 (Mars 2007). doi:10.1109/TKDE.2007.46.
2006
Achbany, Youssef ; Saerens, Marco ; Pirotte, Alain ; Yen, Luh ; Fouss, François. Optimal Tuning of Continual Online Exploration in Reinforcement Learning. In: Lecture Notes in Computer Science, Vol. 4131 (2006).
2004
Fouss, François ; Saerens, Marco. Yet another method for combining classifiers outputs: A maximum entropy approach. In: Lecture Notes in Computer Science, Vol. 3077 (2004).
2016
Fouss, François ; Saerens, Marco ; Shimbo, Masashi. Algorithms and Models for Network Data and Link Analysis, Cambridge University Press, 2016. 9781107125773. 543 p.
2010
Fouss, François. Collaborative-recommendation systems and link analysis. In: Pascal Francq, Collaborative Search and Communities of Interest: Trends in Knowledge Sharing and Assessment, 2010. 978-1-6152-0841-8. doi:10.4018/978-1-61520-841-8.
2010
Fouss, François. Introduction to recommender systems. In: Pascal Francq, Collaborative search and communities of interest [electronic resource] : trends in knowledge sharing and assessment, 2010. 9781615208425. doi:10.4018/978-1-61520-841-8.
2017
Vandenbulcke, Virginie ; Ducarroz, Caroline ; Fouss, François. Personalized Collaborative Recommendations in the Mass-retailing Sector: the Impact of the Recommended Products and the Accompanying Message on Consumer Behavior. EMAC (European Marketing Academy) - 46th Annual Conference (Groningen (Netherlands), du 23/05/2017 au 26/05/2017).
2017
Vandenbulcke, Virginie ; Ducarroz, Caroline ; Fouss, François. Recommandations collaboratives personnalisées : Quel impact sur le comportement du consommateur en grande distribution ?. 33ème Congrès International de l'AFM (Association Française du Marketing) (Tours, France, du 17/05/2017 au 19/05/2017).
2017
Sommer, Félix ; Lecron, Fabian ; Fouss, François. Recommender systems: the case of repeated interaction in matrix factorization. International Conference on Web Intelligence (Leipzig, Germany , du 23/08/2017 au 26/05/2018). In: WI'17 Proceedings of the International Conference on Web Intelligence, ACM : New York, 2017. 978-1-4503-4951-2, p. 843-847 . doi:10.1145/3106426.3106522 .
2015
Vandenbulcke, Virginie ; Ducarroz, Caroline ; Fouss, François. Evaluating the impact of personalized recommendations: Application in the mass-retailing sector. . 44th European Marketing Academy (EMAC) Conference (Leuven (Belgium), du 26/05/2015 au 29/05/2015).
2014
Van Parijs, Clémentine ; Fouss, François. Improving accuracy by reducing the importance of hubs in nearest-neighbor recommendations. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges).
2014
Senelle, Mathieu ; Saerens, Marco ; Fouss, François. The Sum-over-Forests clustering. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges). In: Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2014.
2013
Vandenbulcke, Virginie ; Lecron, Fabian ; Ducarroz, Caroline ; Fouss, François. Customer segmentation based on a collaborative recommendation system: application to a retail company. Conference of European Marketing Academy (EMAC) (Istanbul). In: Proceedings of the 2013 conference of European Marketing Academy, 2013.
2011
Garcia Diez, Silvia ; Saerens, Marco ; Senelle, Mathieu ; Fouss, François. A Simple-cycles weighted kernel based on harmony structure for similarity retrieval. Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011) (Miami, Florida, USA, du 24/10/2011 au 28/10/2011).
2010
Garcia Diez, Silvia ; Fouss, François ; Shimbo, Masashi ; Saerens, Marco. Normalized Sum-over-Paths Edit Distances. International Conference on Pattern Recognition (Istanbul, Turkey, du 23/08/2010au 26/08/2010).
2008
Herssens, Caroline ; Faulkner, Stéphane ; Fouss, François ; Jureta, Ivan. A Framework for QoS Driven Selection of Services. IEEE International Conference on Services Computing (Honolulu, Hawaii, USA, du 08/07/2008au 11/07/2008).
2008
Fouss, François ; Saerens, Marco. Evaluating performance of recommender systems: An experimental comparison. IEEE/WIC/ACM International Conference on Web Intelligence (Sydney, Australia, du 09/12/2008 au 12/12/2008).
2006
Fouss, François ; Yen, Luh ; Pirotte, Alain ; Saerens, Marco. An experimental investigation of graph kernels on a collaborative recommendation task. IEEE International Conference on Data Mining (ICDM 2006) (Hong Kong, China, du 18/12/2006 au 22/12/2006).
2006
Achbany, Youssef ; Fouss, François ; Yen, Luh ; Pirotte, Alain ; Saerens, Marco. Optimal tuning of continual, online, exploration in reinforcement learning. 16th International Conference on Artificial Neural Networks (Berlin, 2006). In: Lecture Notes in Computer Science, Springer: Berlin, 2006. 978-3-540-38625-4, Vol. 4131, p. 790-800 (2006).
2005
Fouss, François ; Renders, Jean-Michel ; Pirotte, Alain ; Saerens, Marco. A novel way of computing similarities between nodes of a graph, with application to collaborative recommendation. IEEE WIC/ACM International Joint Conference on Web Intelligence (Compiègne, France, du 19/09/2005 au 22/09/2005).
2005
Yen, Luh ; VanVyve, Denise J. ; Wouters, Fabien ; Fouss, François ; Verleysen, Michel ; Saerens, Marco. Clustering using a random walk-based distance measure. 13th European Symposium on Artificial Neural Networks (du 27/04/2005 au 2005/04/29). In: Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005. 2-930307-05-6, p. 317-324.
2005
Saerens, Marco ; Fouss, François. HITS is principal components analysis. 2005 IEEE/ACM International Joint Conference on Web Intelligence (du 2005/09/19 au 2005/09/22), p. 782-785 (2005).
2005
Fouss, François ; Saerens, Marco ; Pirotte, Alain ; Kolp, Manuel ; Faulkner, Stéphane. Web recommendation system based on a Markov-chain model. International Conference on Enterprise Information Systems (ICEIS 2005) (Miami, USA, du 24/05/2005 au 28/05/2005).
2004
Fouss, François ; Pirotte, Alain ; Saerens, Marco. A Novel Way of Computing Dissimilarities between Nodes of a Graph, with Application to Collaborative Filtering. Proceedings of the Workshop on Statistical Approaches for Web Mining, p. 26-37 (2004).
2004
Saerens, Marco ; Fouss, François ; Dupont, Pierre ; Pirotte, Alain. Collaborative filtering based on random walks on a graph. Workshop on Large Networks (UCL, LLN, December 1, 2004).
2004
Fouss, François ; Renders, Jean-Michel ; Saerens, Marco. Some relationships between Kleinberg's hubs and authorities, correspondence analysis, and the Salsa algorithm. International Conference on the Statistical Analysis of Textual Data (JADT 2004) (Louvain-la-Neuve, Belgium).
2004
Fouss, François ; Renders, Jean-Marc ; Saerens, Marco. Some relationships between between Kleinberg’s hubs and authorities, correspondence analysis and Markov chains. 7th International Conference on the Statistical Analysis of Textual Data, p. 445-455 (2004).
2004
Fouss, François ; Pirotte, Alain ; Saerens, Marco. The Application of New Concepts of Dissimilarities between Nodes of a Graph to Collaborative Filtering. Workshop on Statistical Approaches for Web Mining (SAWM) (Pisa, Italy).
2004
Saerens, Marco ; Fouss, François ; Yen, Luh ; Dupont, Pierre. The principal components analysis of a graph, and its relationships to spectral clustering. Machine Learning: ECML 2004, 15th European Conference on Machine Learning. In: Lecture Notes in Computer Science, Vol. 3201, p. 371-383 (2004).
2004
Saerens, Marco ; Fouss, François ; Yen, Luh ; Dupont, Pierre. The principle components analysis of a graph, and its relationships to spectral clustering. Machine Learning: ECML 2004. 15th European Conference on Machine Learning. Proceedings (Pisa, Italy, 20-24 September 2004). In: Machine Learning: ECML 2004. 15th European Conference on MachineLearning. Proceedings (Lecture Notes in Artificial IntelligenceVol.3201), Springer-verlag, 2004. 3-540-23105-6, p. 371-383.
2004
Saerens, Marco ; Fouss, François. Yet another method for combining experts opinions. 5th International Workshop on Multiple Classifier Systems, Vol. 3077, p. 82-91 (2004).
2003
Fouss, François ; Renders, Jean-Michel ; Saerens, Marco. Links between Kleinberg's hubs and authorities, correspondence analysis and Markov chains. IEEE International Conference on Data Mining (ICDM 2003) (Melbourne, USA).
2007
Fouss, François. Measures of similarity on graphs : Investigation and application to collaborative recommendation.
2019
Fernandes, Elora ; Lecron, Fabian ; Fouss, François. Adapted Collaborative Filtering Algorithms through Diversity and Novelty, 2019. 20 p.
2017
Sommer, Felix ; Fouss, François ; Saerens, Marco. Modularity-driven kernel k-means for community detection (Louvain Research Institute in Management and Organizations Working Paper Series; 2017/21), 2017. 15 p.
2017
vandenbulcke virginie ; Ducarroz, Caroline ; Fouss, François. Personalized Collaborative recommenations in the Mass-retailing Sector: the Impact of the Recommended Products and the Accompanying Message on Consume Behavior (Working Paper LSM; 2017/16), 2017.
2015
Sommer, Felix ; Fouss, François ; Saerens, Marco. Clustering using a Sum-Over-Forests weighted kernel k-means approach (Louvain School of Management Working Paper Series; 2015/22), 2015. 34 p.
2014
vandenbulcke virginie ; Ducarroz, Caroline ; Fouss, François. Evaluationg the impact of personalized recommendations : Application in the mass-retailing sector (Working Paper LSM; 2014/22), 2014.
2014
Sommer, Felix ; Fouss, François. Learning with product graphs and multiple labels (Working Paper LSM; 2014/20), 2014.
2008
Fouss, François ; Achbany, Youssef ; Saerens, Marco. A probabilistic reputation model (IAG - LSM Working Papers; 08/20), 2008.
2006
Fouss, François ; Pirotte, Alain ; Saerens, Marco ; Renders, Jean-Michel ; Yen, Luh. A novel way of computing similarities between nodes of a graph, with application to collaborative filtering and subspace projection of the graph nodes (IAG - LSM Working Papers; 06/08), 2006. 43 p.
2005
Saerens, Marco ; Fouss, François. Hits is PCA (IAG Working Papers; 2005/125 ), 2005.
2005
Saerens, Marco ; Fouss, François ; Yen, Luh ; Dupont, Pierre. The principal components analysis of a graph and its relationships to spectral clustering (IAG Working Papers; 2005/124 ), 2005.
2005
Fouss, François ; Faulkner, Stéphane ; Kolp, Manuel ; Pirotte, Alain ; Saerens, Marco. Web recommendation system based on a markov-chain model (IAG Working Papers; 2005/123 ), 2005.
2004
Fouss, François ; Saerens, Marco. A maximum entropy approach to multiple classifiers combination (IAG - LSM Working Papers; 04/107), 2004. 15 p.
2003
Donnay, Aymerick ; Fouss, François ; Kolp, Manuel ; Massart, David ; Pirotte, Alain. Analyse oriente objet de processus sidérurgiques de type cokier (IAG - LSM Working Papers; 03/86), 2003. 24 p.
2003
Donnay, Aymerick ; Fouss, François ; Kolp, Manuel ; Massart, David ; Pirotte, Alain. Analyse orientée objet de processus sidérurgiques de type cokier (IAG Working Papers; 2003/86 ), 2003.
2003
Fouss, François ; Renders, Jean-Michel ; Saerens, Marco. Links between Kleinberg's hubs and authorities, correspondence analysis, and Markov chains (ECON Discussion Papers IAG Working Papers; 2003/101 2003/102 ), 2003.
2003
Fouss, François ; Ibarz, Marti ; Kolp, Manuel ; Pirotte, Alain. Steel production data warehouse reengineering (ECON Discussion Papers IAG Working Papers; 2003/89 2003/85 ), 2003.
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