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Publications

1. Technical Reports
2. Publications in peer-reviewed Conference Proceedings
3. Publications in International Journals and Book Chapters


Technical Reports
  • Schoentgen J. & Saerens M. (1987), "Un progiciel phonetique". Rapport d'Activites de l'Institut de Phonetique de l'ULB, 21, pp. 73-88.
  • Beeckmans R., Saerens M. & Serniclaes W. (1989), "The relative contributions of acoustic cues and contextual factors to the perception of the voicing feature for French stops in spontaneous speech". Rapport d'Activites de l'Institut de Phonetique de l'ULB, 23-24, pp. 187-234.
  • Saerens M. (1990), "A preliminary study of a competitive cost function applied to clustering". Rapport d'Activites de l'Institut de Phonetique de l'ULB, 25, pp. 93-101.
  • Saerens M. & Soquet A. (1990), "A neural controller based on back-propagation algorithm". Rapport d'Activites de l'Institut de Phonetique de l'ULB, 25, pp. 103-125.
  • Saerens M., Soquet A., Renders J.-M. & Bersini H. (1990), "Preliminary comparisons between a neural adaptive controller and a model reference adaptive controller". Rapport d'Activites de l'Institut de Phonetique de l'ULB, 26, pp. 129-142.
  • Soquet A., Saerens M. & Jospa P. (1990), "Acoustic-articulatory inversion, based on a neural controller, of a vocal tract model". Rapport d'Activites de l'Institut de Phonetique de l'ULB, 26, pp. 143-150.
  • Saerens M. (1990), "Unsupervised clustering based on a competitive cost function". Rapport d'Activites de l'Institut de Phonetique de l'ULB, 26, pp. 151-162.
  • Soquet A. & Saerens M. (1994), "A comparison of different acoustic and articulatory representations for the determination of the place of articulation of plosives". Rapport d'Activites de l'Institut de Phonetique de l'ULB, 30, pp. 99-113.
  • Saerens M. (2002), "L'intelligence artificielle: quelques elements de base, I et II". Techno 20 et 22 edites par la Smals-MvM; disponibles en libre acces a: http://smals-mvm.be/site_fr/content/Realisations/publications.html.
  • Saerens M., Latinne P. & Decaestecker C. (2002), "Any reasonable cost function can be used for a posteriori probability approximation". IAG Working Paper 73/02, Universite catholique de Louvain.
  • Fouss F., Renders J.-M. & Saerens M. (2004), "Links between Kleinberg's hubs and authorities, correspondence analysis and Markov chains".
    IAG Working Paper 102/04.
  • Fouss F. & Saerens M. (2004), "A maximum entropy approach to multiple classifiers combination". IAG Working Paper 107/04, Université catholique de Louvain.
  • Fouss F., Pirotte A., Renders J.-M & Saerens M. (2004), "A novel way of computing dissimilarities between nodes of a graph, with application to collaborative filtering and subspace projection of the graph nodes ".
  • Fouss F., Faulkner S., Kolp M., Pirotte A. & Saerens M. (2005), "Web recommendation system based on a Markov-chain model". IAG Working Paper 123/04.
  • Saerens M., Fouss F., Yen L. & Dupont P. (2005), "The principal components analysis of a graph, and its relationships to spectral clustering". IAG Working Paper 124/04.
  • Saerens M. & Fouss F. (2005), "HITS is PCA". IAG Working Paper 125/04.
  • Achbany Y., Fouss F., Yen L., Pirotte A. & Saerens M. (2005), "Managing the trade-off between exploration and exploitation in reinforcement learning".
  • Fouss F., Pirotte A., Renders J.-M & Saerens M. (2006), "A novel way of computing similarities between nodes of a graph, with application to collaborative filtering and subspace projection of the graph nodes ".
Publications in peer-reviewed Conference Proceedings
  • Saerens M., Serniclaes W. & Beeckmans R. (1988), "Contributions relatives des indices acoustiques et des facteurs contextuels a la perception du trait de voisement des occlusives du francais dans la parole spontanee". Actes des 17e Journees d'Etude sur la Parole (JEP), Nancy, pp. 95-100.
  • Saerens M. & Soquet A. (1989), "Un systeme de commande connexionniste". Actes des 4emes Journees Francaises de l'Apprentissage, Rennes, pp. 153-167.
  • Saerens M. & Soquet A. (1989), "A neural controller". Proceedings of the first IEE International Conference on Artificial Neural Networks, London, pp. 211-215.
  • Saerens M. (1990), "A preliminary study of a competitive cost function applied to clustering". Proceedings of the IEEE International Neural Network Conference (INNC), Paris, pp. 318-321.
  • Saerens M. (1990), "Unsupervised clustering based on a competitive cost function". Proceedings of the IEEE International Joint Conference on Neural Network (IJCNN), San Diego, pp. 343-348.
  • Saerens M. (1990), "Etude preliminaire d'une fonction cout competitive avec application a la classification automatique". Actes des XXIIiemes Journees de Statistique, Tours, pp. 191-193.
  • Bersini H., Saerens M., Soquet A. & Decosseaux E. (1990), "Connectionism for low-level and high-level process control". Proceedings of the Ninth European Annual Conference on Human Decision Making and Manual Control, Varese, pp.151-160.
  • Soquet A., Saerens M. & Jospa P. (1990), "Acoustic-articulatory inversion based on a neural controller of a vocal tract model". Proceedings of the ESCA First International Workshop on Speech Synthesis, Autrans, pp. 71-74.
  • Soquet A., Saerens M. & Jospa P. (1991), "Trying to determine place of articulation of plosives with a vocal tract model". Proceedings of the XIIth International Conference on Phonetic Sciences (ICPhS), Aix En Provence, pp. 66-69.
  • Soquet A., Saerens M. & Jospa P. (1991), "Acoustic-articulatory inversion based on a neural controller of a vocal tract model: Further results". In "Artificial Neural Networks"; Kohonen, Mäkisara, Simula & Kangas (editors), Proceedings of the 1991 International Conference on Artificial Neural Networks (ICANN, Helsinki), North-Holland, pp. 371-376.
  • Radeau M., Morais J., Mousty P., Saerens M. & Berthelson P. (1991), "The effect of the uniqueness point in processing printed words". Abstract of conference, the "Annual Meeting of the Psychonomic Society '91", in Bulletin of the Psychonomic Society, 29, p. 511.
  • Jospa P., Soquet A. & Saerens M. (1992), "Commande d'un modele de conduit vocal sur base d'estimation des fonctions de sensibilite". Actes des 19emes Journees d'Etudes sur la Parole (JEP). Bruxelles, pp. 341-346.
  • Jospa P., Soquet A. & Saerens M. (1992), "Acoustical sensitivity functions and the control of a vocal tract model". Invited paper in the Proceedings of the European Signal Processing Conference (EUSIPCO), Brussels, pp. 171-174.
  • Saerens M., Gonzales Sotelino L. & Bersini H. (1992), "Classification of temporal trajectories by continuous time recurrent nets". Proceedings of NeuroNimes, Nimes, pp. 367-377.
  • Renders J.-M., Bersini H. & Saerens M. (1993), "Adaptive neurocontrol: How black box and simple can it be". Proceedings of the tenth International Conference on Machine Learning (ICML), Amherst, pp. 260-267.
  • Saerens M. (1993), "Hidden Markov models assuming a continuous-time dynamic emission of acoustic vectors". Proceedings of the European International Conference on Speech Processing (EUROSPEECH), Berlin, pp. 587-590.
  • Saerens M. & BOURLARD H. (1993), "Linear and nonlinear prediction for speech regognition with hidden Markov models". Proceedings of the European International Conference on Speech Processing (EUROSPEECH), Berlin, pp. 807-810.
  • Bourlard H., Boite J.-M., D'Hoore B. & Saerens M. (1993), "Performance comparison of hidden Markov models and neural networks for task dependent and independent isolated word recognition". Proceedings of the European International Conference on Speech Processing (EUROSPEECH), Berlin, pp. 1925-1928.
  • Robinson T., Almeida L., Boite J.-M., Bourlard H., Fallside F., Hochberg M., Kershaw D., Kohn P., Konig Y., Morgan N., Neto J. P., Renals S., Saerens M. & Wooters C. (1993), "A neural network based, speaker independent, large vocabulary, continuous speech recognition system: The WERNICKE project". Proceedings of the European International Conference on Speech Processing (EUROSPEECH), Berlin, pp. 1941-1944.
  • Renders J.-M., Saerens M. & Bersini H. (1994), "Adaptive neurocontrol of MIMO systems based on stability theory". Proceedings of the IEEE International Conference on Neural Network (ICNN), Orlando, pp. 2476-2481; also in the Proceedings of the IEE Colloquium on Advances in Neural Networks for Control and Systems, Berlin, pp. 13.1-13.6.
  • Renders J.-M., Saerens M. & Bersini H. (1994), "On the stability of a certain class of adaptive fuzzy controllers". Invited paper in the Proceedings of the European Conference on Fuzzy and Intelligent Technologies (EUFIT), Aachen, pp. 27-34.
  • Soquet A. & Saerens M. (1994), "A comparison of different acoustic and articulatory representations for the determination of the place of articulation of plosives". Proceedings of the International Conference on Spoken Language Processing (ICSLP), Yokohama (Tokyo), pp. 1643-1646.
  • Saerens M. (1995), "Viterbi algorithm for acoustic vectors generated by a linear stochastic differential equation". Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Detroit, pp. 233-236.
  • Renders J.-M. & Saerens M. (1995), "Robust adaptive control of a certain class of continuous-time processes". Proceedings of the first Neural Adaptive Control Technology Workshop (NACT 1), Glasgow.
  • Soquet A. & Saerens M. (1995), "Vowel classification based on acoustic and articulatory representations". Proceedings of the XIIIth International Conference on Phonetic Sciences (ICPhS), Stockholm, pp. 322-325.
  • Decaestecker C. & Saerens M. (1995), "A comparison of different radial basis function networks for classification". Proceedings of the International Conference on Artificial Neural Networks (ICANN), Paris, pp. 591-596.
  • Saerens M. (1996), "Non mean square error criteria for the training of learning machines". Proceedings of the 13th International Conference on Machine Learning (ICML), july 1996, Bari (Italy), pp. 427-434.
  • Soquet A., Saerens M. & Lecuit V. (1999), "Complementary cues for speech recognition". Proceedings of the International Conference on Phonetic Sciences (ICPhS), San Francisco, pp. 1645-1649.
  • Ziereisen F., Heinrich C., Dufour D., Saerens M. & Avni F. (2000), "Doppler assessment of pulsability index of the uterine artery in girls around puberty". Proceedings of the 37th annual congress ESPR, Lisbon, may 2000. Awarded as the J. Lefebvre award of the ESPR. Latinne P.,
  • Saerens M., Latinne P. & Decaestecker C. (2001), "Adjusting the outputs of a classifier to new a priori probabilities may significantly improve classification accuracy: Evidence from a multi-class problem in remote sensing". Proceedings of the 18th International Conference on Machine Learning (ICML), pp. 298-305.
  • Fouss F., Renders J.-M. & Saerens M. (2003), "Links between Kleinberg's hubs and authorities, correspondence analysis and Markov chains". Proceedings of the 3th IEEE International Conference on Data Mining (ICDM), pp. 521-524.
  • Fouss F. & Saerens M. (2004), "Yet another method for combining classifiers outputs: A maximum entropy approach". Proceedings of the Fifth International Workshop on Multiple Classifier Systems (MCS 2004), Lecture Notes in Computer Science, Vol. 3077, Springer-Verlag, Berlin, 2004. pp. 82-91.
  • Fouss F., Renders J.-M. & Saerens M. (2004), "Some relationships between Kleinberg's hubs and authorities, correspondence analysis, and the Salsa algorithm". Proceedings of the 7th International Conference on the Statistical Analysis of Textual Data (JADT 2004), pp. 445-455.
  • Saerens M., Fouss F., Yen L. & Dupont P. (2004), "The principal components analysis of a graph, and its relationships to spectral clustering". Proceedings of the 15th European Conference on Machine Learning (ECML 2004), Lecture Notes in Artificial Intelligence, Vol. 3201, Springer-Verlag, Berlin, 2004, pp. 371-383.
  • Fouss F., Pirotte A. & Saerens M. (2004), "A Novel Way of Computing Dissimilarities between Nodes of a Graph, with Application to Collaborative Filtering". 15th European Conference on Machine Learning (ECML 2004); Proceedings of the Workshop on Statistical Approaches for Web Mining (SAWM), pp. 26-37.
  • Fouss F., Faulkner S., Kolp M., Pirotte A. & Saerens M. (2005), "Web recommendation system based on a Markov-chain model". Proceedings of the 7th International Conference on Enterprise Information Systems (ICEIS 2005), Vol. 4, pp. 56-63.
  • Yen L., Vanvyve D., Wouters F., Fouss F., Verleysen M. & Saerens M. (2005), "Clustering using a random-walk based distance measure". Proceedings of the 13th Symposium on Artificial Neural Networks (ESANN 2005), pp. 317-324.
  • Fouss F., Pirotte A., Renders J.-M & Saerens M. (2005), "A novel way of computing similarities between nodes of a graph, with application to collaborative recommendation". Proceedings of the 2005 IEEE / WIC / ACM International Joint Conference on Web Intelligence, pp. 550-556.
  • Saerens M. & Fouss F. (2005), "HITS is principal components analysis". Proceedings of the 2005 IEEE / WIC / ACM International Joint Conference on Web Intelligence, pp. 782-785.
  • Fouss F., Yen L., Pirotte A. & Saerens M. (2006), "An experimental investigation of graph kernels on two collaborative recommendation tasks". Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM 2006), pp. 863-868.
  • Achbany Y., Fouss F., Yen L., Pirotte A. & Saerens M. (2006), "Optimal tuning of continual, online, exploration in reinforcement learning". Proceedings of the International Conference on Artificial Neural Networks (ICANN 2006); Lecture Notes in in Computer Science, Vol. LNAI4131, Springer-Verlag, pp. 790-800.
  • Jureta I., Faulkner S., Achbany Y. & Saerens M. (2007), "Dynamic Task Allocation Within an Open Service-Oriented Architecture", in Proceedings of the 6th International Joint Conference on Autonomous Agents and Multi-Agents Systems (AAMAS'06), Honolulu, Hawaii, ACM Press, pp. 1237-1239.
  • Faulkner S., Jureta I., Achbany Y. & Saerens M. (2007), "Dynamic Web Service Composition within a Service-Oriented Architecture". Proceedings of the the 5th IEEE International Conference on Web Services (ICWS'07), IEEE Society Press, pp. 304-311.
  • Yen L., Fouss F., Decaestecker C., Francq P. & Saerens M. (2007), "Graph Nodes Clustering based on the Commute-Time Kernel". Proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007). Lecture Notes in Computer Science, Vol. LNAI4426, Springer-Verlag, pp. 1037-1045.
  • Callut J., Francoisse K., Dupont P. & Saerens M. (2007), "Semi-supervised classification from discriminative random walks". Proceedings of the European Conference on Machine Learning (ECML/PKDD 2008). Lecture Notes in Computer Science, Vol. LNAI5211, Springer-Verlag, pp. 162-177.
  • Frenay B. & Saerens M. (2008), "QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games". Proceedings of the 16th European Symposium on Artificial Neural Networks (ESANN 2008), pp.137-142.
  • Yen L., Mantrach A., Shimbo M. & Saerens M. (2008), "A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances". Proceedings of the 14th SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), pp. 785-793. Erratum: an annoying sign error in the definition of the distance d has been corrected in this online version. The distance was (wrongly) defined with a minus sign in the original KDD paper. We sincerely apologize for this error.
  • Fouss F. & Saerens M. (2008), "Evaluating performance of recommender systems: an experimental comparison". Proceedings of the 2008 IEEE/ACM International Joint Conference on Web Intelligence (WIC 2008), pp.735-738.
  • Kevers L., Mantrach A., Fairon C., Bersini H. & Saerens M. (2010), "Classification hybride par motifs lexicaux etendus et classificateurs SVM". Proceedings of the Journees Internationales d'Analyse statistiques des Donnees Textuelles (JADT 2010), vol. 1, pp. 105-117.
  • Garcia-Diez S., Fouss F., Shimbo M. & Saerens M. (2010), "Normalized sum-over-paths edit distances". Proceedings of the 20th International Conference on Pattern Recognition (ICPR 2010), pp. 1044-1047.
  • Garcia-Diez S., Senelle M., Fouss F., & Saerens M. (2011), "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), pp. 61-66.
  • Garcia-Diez S., Vandenbussche E. & Saerens M. (2011), "A continuous-state version of discrete randomized shortest-paths". Proceedings of the 50th IEEE International Conference on Decision and Control (IEEE CDC 2011), pp. 61-66.
  • Suzuki I., Hara K., Shimbo M., Matsumoto Y. & Saerens M. (2012), " Investigating the effectiveness of laplacian-based kernels in hub reduction". To appear in the proceedings of the 26th Association for the Advancement of Artificial Intelligence Conference (AAAI 2012).
Publications in International Journals and Book Chapters
  • Saerens M., Serniclaes W. & Beeckmans R. (1989), "Acoustic versus contextual factors in stop voicing perception in spontaneous speech". Language and Speech, 32 (4), pp. 291-314.
  • Saerens M. & Soquet A. (1991), "Neural Controller Based on Back-Propagation Algorithm". IEE Proceedings-F, 138 (1), pp. 55-62. Reprinted in "Artificial Neural Networks: Concepts and Control Applications" by Rao Vemuri (editor), 1992, pp. 484-491, IEEE Computer Society Press.
  • Saerens M., Soquet A., Renders J-M. & Bersini H. (1992), "Some preliminary comparisons between a neural adaptive controller and a model reference adaptive controller". In "Neural Networks in Robotics", Bekey G. & Goldberg K. (editors), pp. 131-146. Kluwer Academic Press.
  • Radeau M., Morais J., Mousty P., Saerens M. & Berthelson P. (1992), "A listener's investigation of printed word processing". Journal of Experimental Psychology - Human Perception and Performances, 18 (3), pp. 861-871.
  • Saerens M. (1993), "A continuous-time dynamic formulation of Viterbi algorithm for one-Gaussian-per-state hidden Markov models". Speech Communication, 12 (4), pp. 321-333.
  • Saerens M., Renders J.-M. & Bersini H. (1995), "Neurocontrol based on the backpropagation algorithm". Chapter 12 of "Intelligent Control Systems: Theory and applications", Gupta M. & Sinha N. (editors), pp. 292-326. IEEE Press.
  • Gonzales Sotelino L., Saerens M. & Bersini H. (1994), "Classification of temporal trajectories by continuous time recurrent nets". Neural Networks, 7 (5), pp. 767-776.
  • Saerens M. & BOURLARD H. (1994), "HMM/MLP and predictive models". Collaboration with H. Bourlard to a chapter of "Connectionist Speech Recognition. A hybrid approach", H. Bourlard & N. Morgan, pp. 243-252. Kluwer Academic Press.
  • Bersini H., Saerens M. & Gonzales Sotelino L. (1994), "Hopfield net generation, encoding and classification of temporal trajectories". IEEE Transactions on Neural Networks, 5 (6), pp. 945-953.
  • Jospa P., Soquet A. & Saerens M. (1995), "Variational formulation of the acoustico-articulatory link, and the inverse mapping by means of a neural network". Chapter in "Levels in Speech Communication: Relations and Interactions", Sorin C., Meloni H., Mariani J. & Schoentgen J. (editors), pp. 103-113. Elsevier Science, North-Holland.
  • Saerens M. (1995), "Design of a perceptron-like algorithm based on system identification techniques". IEEE Transactions on Neural Networks, 6 (2), pp. 504-506.
  • Saerens M., Renders J.-M. & Bersini H. (1995), "Adaptive neurocontrol of a certain class of discrete-time MIMO processes based on stability theory". Chapter in "Neural Network Engineering in Dynamic Control Systems", K. Hunt, G. Irwin & K. Warwick (editors), pp. 43-60. Springer-Verlag.
  • Renders J.-M., Saerens M. & Bersini H. (1997), "Fuzzy adaptive control of a certain class of SISO discrete-time processes". Fuzzy Sets and Systems, 85 (1), pp. 49-61.
  • Renders J.-M. & Saerens M. (1996), "Robust adaptive neurocontrol of continuous-time MIMO processes based on the e1-modification scheme". Chapter 7 of "Neural Adaptive Control Technology", R. Zbikowski & K. Hunt (editors), pp. 207-236. World Scientific Series in Robotics and Intelligent Systems, vol. 15, World Scientific Publishing.
  • Saerens M. (1997), "A study of non mean square error criteria for the training of neural networks". Chapter 6 of "Dealing with complexity: A neural networks approach", M. Karny, K. Warwick & V. Kurkova (editors), pp. 76-92. Springer Series on Perspectives in Neural Computing, Springer-Verlag.
  • Saerens M. (2000), "Building cost functions minimizing to some summary statistics". IEEE Transactions on Neural Networks, 11 (6), pp. 1263-1271.
  • Ziereisen F., Heinrich C., Dufour D., Saerens M. & Avni F. (2001), "The role of doppler evaluation of the uterine artery in girls around puberty". Pediatric Radiology, 31, pp. 712-719.
  • Saerens M., Latinne P. & Decaestecker C. (2001), "Adjusting the outputs of a classifier to new a priori probabilities may significantly improve classification accuracy: Evidence from a multi-class problem in remote sensing".
  • Saerens M., Latinne P. & Decaestecker C. (2002), "Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure". Neural Computation, 14 (1), pp. 21-41.
  • Saerens M., Latinne P. & Decaestecker C. (2002), "Any reasonable cost function can be used for a posteriori probability approximation". IEEE Transactions on Neural Networks, 13 (5), pp. 1204-1210.
  • Saerens M. & Decaestecker C. (2002), "Neural networks for classification: An Introduction". To appear in the "Handbook of Computational Intelligence". CRC Publisher.
  • Fouss F., Pirotte A., Renders J.-M & Saerens M. (2007), "Random-walk computation of similarities between nodes of a graph, with application to collaborative recommendation". IEEE Transactions on Knowledge and Data Engineering, 19 (3), pp. 355-369.
  • Achbany Y., Fouss F., Yen L., Pirotte A. & Saerens M. (2008), "Tuning continual exploration in reinforcement learning: An optimality property of the Boltzmann strategy". Neurocomputing, 71, pp. 2507-2520.
  • Achbany Y., Faulkner S., Fouss F., Jureta I., & Saerens M. (2009), "Continually Learning Optimal Web Service Compositions". Accepted for publication in Journal of Web Service Research.
  • Yen L., Fouss F., Decaestecker C., Francq P. & Saerens M. (2009), "Graph nodes clustering with the sigmoid commute-time kernel: A comprehensive study". Data & Knowledge Engineering, 68, pp. 338-361.
  • Saerens M., Achbany Y., Fouss F. & Yen L. (2009),"Randomized shortest-Path Problems: Two related models". Neural Computation, 21 (8), pp. 2363-2404. 
  • Frenay B. & Saerens M. (2009),"QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games ". Neurocomputing, 72, pp. 1494-1507. 
  • Fouss F., Achbany Y. & Saerens M. (2010),"A probabilistic reputation model based on transaction ratings". Information Sciences, 180 (11), pp. 2095-2123. 
  • Mantrach A., Saerens M., Yen L., Callut J., Francoisse K. & Shimbo M. (2010),"The sum-over-paths covariance kernel: a novel covariance measure between nodes of a directed graph". IEEE Transactions on Pattern Analysis and Machine Intelligence, 32 (6), pp. 1112-1126. 
  • Garcia-Diez S., Fouss F., Shimbo M. & Saerens M. (2011),"A sum-over-paths extension of edit distances accounting for all sequence alignments". Pattern Recognition, 44 (6), pp. 1172-1182. 
  • Yen L., Fouss F. & Saerens M. (2011),"A link-analysis extension of correspondence analysis for mining relational databases". IEEE Transactions on Knowledge and Data Engineering, 23 (4), pp. 481-495. 
  • Saerens M. & Decaestecker C. (2011),"Dealing with unknown a priori probabilities in classification". Submitted for publication. 
  • Herssens C., Mantrach A. & Saerens M. (2011), "Ant colony optimization revisited from a randomized shortest path perspective". Submitted for publication. 
  • Mantrach A., Van Zeebroeck N., Francq P., Shimbo M., Bersini H. & Saerens M. (2011), "Semi-supervised classification and betweenness computation on large, sparse, directed graphs". Pattern Recognition, 44 (6), pp. 1212-1224. 
  • Garcia-Diez S., Laforge J. & Saerens M. (2011), "An optimally randomized minimax algorithm". Submitted for publication. 
  • Moles Lopez X., Debeir O., Maris C., Rorive S., Roland I., Saerens M., Salmon I. & Decaestecker C. (2012), "Clustering methods applied in the detection of KI67 hot-spots in whole tumor slide images: an efficient way to characterize heterogeneous tissue-based biomarkers". Submitted for publication to Cytometry part A".
  • Fouss F., Francoisse K., Yen L., Pirotte A. & Saerens M. (2012), "An experimental investigation of kernels on graphs for collaborative recommendation and semi-supervised classification". Neural Networks, 31, pp. 53-72.
  • Francoisse K., Fouss F. & Saerens M. (2012), "A link-analysis-based discriminant analysis for exploring labeled graphs". Submitted for publication to Pattern Recognition Letters.
   
 
| Responsable : Manuel Kolp | [UCL] | [ESPO] | [IAG] | [Pointeurs utiles] | Dernière mise à jour : 09-01-2007