Pierre Dupont
SST/EPL Ecole polytechnique de Louvain (EPL)
SST/ICTM Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM)
SST/ICTM/INGI Pôle en ingénierie informatique (INGI)
Gerniers, Alexander ; Nijssen, Siegfried ; Dupont, Pierre. scCross: efficient search for rare subpopulations across multiple single-cell samples. In: Bioinformatics, Vol. 40, no.6, p. btae371 (2024). doi:10.1093/bioinformatics/btae371.
Gerniers, Alexander ; Dupont, Pierre. MicroCellClust 2: a hybrid approach for multivariate rare cell mining in large-scale single-cell data. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (Las Vegas, NV, USA, du 6/12/2022 au 8/12/2022). In: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. 978-1-6654-6819-0, p. 148-153. doi:10.1109/bibm55620.2022.9995176.
Hamer, Victor ; Dupont, Pierre. An Importance Weighted Feature Selection Stability Measure. In: Journal of Machine Learning Research, Vol. 22, no.116, p. 1-57 (2021).
Gerniers, Alexander ; Bricard, Orian ; Dupont, Pierre. MicroCellClust: mining rare and highly specific subpopulations from single-cell expression data. In: Bioinformatics, Vol. 37, no. 19, p. 3220-3227 (2021). doi:10.1093/bioinformatics/btab239.
Hamer, Victor ; Dupont, Pierre. Robust Selection Stability Estimation in Correlated Spaces. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Bilbao (online), du 13/09/2021 au 17/09/2021). In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Vol. 1, no.1, p. 446-461 (2021).
Hamer, Victor ; Dupont, Pierre. Joint optimization of predictive performance and selection stability. 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges, Belgium, du 02/10/2020 au 04/10/2020). In: ESANN 2020 - Proceedings, Vol. 1, no.1, p. 381-386 (2020).
Branders, Vincent ; Schaus, Pierre ; Dupont, Pierre. Identifying gene-specific subgroups: an alternative to biclustering. In: BMC Bioinformatics, Vol. 20, no.625, p. 13 (2019). doi:10.1186/s12859-019-3289-0.
Derval, Guillaume ; Branders, Vincent ; Dupont, Pierre ; Schaus, Pierre. The Maximum Weighted Submatrix Coverage Problem: A CP Approach. In: Louis-Martin Rousseau, Kostas Stergiou, Integration of Constraint Programming, Artificial Intelligence, and Operations Research : Lecture Notes in Computer Science (Lecture Notes in Computer Science; 11494), Springer, Cham, 2019, p. 258-274. 978-3-030-19212-9. doi:10.1007/978-3-030-19212-9_17.
Hamer, Victor ; Dupont, Pierre. Explicit Control of Feature Relevance and Selection Stability Through Pareto Optimality. Interactive Adaptive Learning (IAL2019) (Würzburg (Germany), 16/09/2019). In: CEUR Workshop Proceedings, Vol. 2444, no.1, p. 64-79 (2019).
Branders, Vincent ; Derval, Guillaume ; Schaus, Pierre ; Dupont, Pierre. Mining a Maximum Weighted Set of Disjoint Submatrices. Discovery Science. In: Discovery Science : Lecture Notes in Computer Science (LNCS), Springer, 2019. 9783030337773, p. 18-28. doi:10.1007/978-3-030-33778-0_2.
Branders, Vincent ; Schaus, Pierre ; Dupont, Pierre. Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum. In: Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, New Frontiers in Mining Complex Patterns (Lecture notes in computer science; vol 10785), 2018, p. 65-79. 978-3-319-78679-7. doi:10.1007/978-3-319-78680-3_5.
Hamer, Victor ; Dupont, Pierre. Learning Computationally Efficient Metrics for Large Scale Person Identification. BENELEARN2018 (Jheronimus Academy of Data Science, du 08/11/2018 au 09/11/2018). In: Proceedings of the Annual Machine Learning Conference of Belgium and the Netherlands 2018, Vol. /, no./, p. / (2018).
Branders, Vincent ; Schaus, Pierre ; Dupont, Pierre. Mining a sub-matrix of maximal sum. 6th International Workshop on New Frontiers in Mining Complex Patterns in conjunction with ECML-PKDD 2017 (Skopje (MK), 22/09/2017). In: Proceedings of the 6th International Workshop on New Frontiers in Mining Complex Patterns in conjunction with ECML-PKDD 2017.
Branders, Samuel ; Dupont, Pierre. A balanced hazard ratio for risk group evaluation from survival data. In: Statistics in Medicine, Vol. 34, no.17, p. 2528-2543 (2015). doi:10.1002/sim.6505.
Lombard, Catherine ; André, Floriane ; Paul, Jérôme ; Wanty, Catherine ; Vosters, Olivier ; Bernard, Pierre ; Pilette, Charles ; Dupont, Pierre ; Sokal, Etienne ; Smets, Françoise. Clinical Parameters vs Cytokine Profiles as Predictive Markers of IgE-Mediated Allergy in Young Children.. In: PLoS One, Vol. 10, no. 7, p. e0132753 [1-12] (2015). doi:10.1371/journal.pone.0132753.
Lauwerys, Bernard ; Hernández-Lobato, Daniel ; Gramme, Pierre ; Ducreux, Julie ; Dessy, Adrien ; Focant, Isabelle ; Ambroise, Jérôme ; Bearzatto, Bertrand ; Nzeusseu Toukap, Adrien ; Van den Eynde, Benoît ; Elewaut, Dirk ; Gala, Jean-Luc ; Durez, Patrick ; Houssiau, Frédéric ; Helleputte, Thibault ; Dupont, Pierre. Heterogeneity of synovial molecular patterns in patients with arthritis. In: PLoS One, Vol. 10, no. 4, p. e0122104 [1-18] (2015). doi:10.1371/journal.pone.0122104.
Paul, Jérôme ; Dupont, Pierre. Inferring statistically significant features from random forests. In: Neurocomputing, Vol. 150, no.part B, p. 471–480 (20 February 2015). doi:10.1016/j.neucom.2014.07.067.
Paul, Jérôme ; D'Ambrosio, Roberto ; Dupont, Pierre. Kernel methods for heterogeneous feature selection. In: Neurocomputing, Vol. 169, p. 187-195 (2015). doi:10.1016/j.neucom.2014.12.098.
De Visscher, Ruben ; Delouille, Véronique ; Dupont, Pierre ; Deledalle, Charles-Alban. Supervised classification of solar features using prior information. In: Journal of Space Weather and Space Climate, Vol. 5, no.A34, p. 1-12 (2015). doi:10.1051/swsc/2015033.
Branders, Samuel ; Frenay, Benoît ; Dupont, Pierre. Survival Analysis with Cox Regression and Random Non-linear Projections. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges, Belgium, du 22/04/2015 au 24/04/2015). In: Proceedings of the 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2015.
Feron, Olivier ; Dupont, Pierre ; Boidot, Romain ; Branders, Samuel ; Helleputte, Thibault. Signature of cycling hypoxia and use thereof for the prognosis of cancer. Numéro de priorité ; Déposé (01/08/2014) ; Publié (01/08/2015). .
Boidot, Romain ; Branders, Samuel ; Helleputte, Thibault ; Illan Rubio, Laila ; Dupont, Pierre ; Feron, Olivier. A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling.. In: OncoTarget, Vol. 5, no.16, p. 6947-63 (2014).
Dessy, Adrien ; Dupont, Pierre. Computationally Efficient Test for Gene Set Dysregulation. International Workshop on Machine Learning in Systems Biology (Strasbourg, France, du 06/09/2014 au 07/09/2014).
Lombard, Catherine ; André, Floriane ; Paul, Jérôme ; Wanty, Catherine ; Vosters, Olivier ; Bernard, Pierre ; Pilette, Charles ; Dupont, Pierre ; Sokal, Etienne ; Smets, Françoise. Decrease in IL-15 production by cord blood mononuclear cells as a marker of atopic disease. 47th Annual Meeting of the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition (Jerusalem, Israel). In: Journal of Pediatric Gastroenterology and Nutrition, Vol. 58, no.sup 1, p. p534 (june 2014).
Paul, Jérôme ; Dupont, Pierre. Kernel methods for mixed feature selection. 22th European Symposium on Artificial Neural Networks (ESANN'14) (Bruges, Belgium, du 23/04/2014 au 25/04/2014). In: ESANN2014, 22th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, 2014. 9782874190957, 301-306.
Paul, Jérôme ; Dupont, Pierre. Statistically interpretable importance indices for Random Forests. 23rd Annual Machine Learning Conference of Belgium and the Netherlands (BENELEARN) (Brussels, Belgium, 06/06/2014).
Branders, Samuel ; D'Ambrosio, Roberto ; Dupont, Pierre. The Coxlogit model: feature selection from survival and classification data. IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (Orlando (FL), du 09/12/2014 au 12/12/2014). In: Computational Intelligence in Multi-Criteria Decision-Making (MCDM), 2014 IEEE Symposium on, IEEE, 2014, 137-143. doi:10.1109/MCDM.2014.7007199.
Hernandez Lobato, Daniel ; Hernandez Lobato, José Miguel ; Dupont, Pierre. Generalized spike-and-slab priors for bayesian group feature selection using expectation propagation. In: Journal of Machine Learning Research, Vol. 14, p. 1891-1945 (2013).
Grandjean, Marie ; Sermeus, Alexandra ; Branders, Samuel ; Defresne, Florence ; Dieu, Marc ; Dupont, Pierre ; Raes, Martine ; De Ridder, Mark ; Feron, Olivier. Hypoxia integration in the serological proteome analysis unmasks tumor antigens and fosters the identification of anti-phospho-eEF2 antibodies as potential cancer biomarkers. In: PLoS One, Vol. 8, no. 10, p. e76508 [1-10] (2013). doi:10.1371/journal.pone.0076508.
Lee, John Aldo ; Renard, Emilie ; Bernard, G. ; Dupont, Pierre ; Verleysen, M.. Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. In: Neurocomputing, Vol. 112, no. 1, p. 92-108 (2013). doi:10.1016/j.neucom.2012.12.036.
Paul, Jérôme ; Verleysen, Michel ; Dupont, Pierre. Identification of Statistically Significant Features from Random Forests. ECML workshop on Solving Complex Machine Learning Problems with Ensemble Methods (Prague (Czech Republic), du 27/09/2013 au 27/09/2013). In: , 2013.
Renard, Emilie ; Dupont, Pierre ; Verleysen, Michel. User control for adjusting conflicting objectives in parameter-dependent visualization of data. Workshop on Visual Analytics using Multidimensional Projections (EuroVis 2013) (Leipzig (Germany), du 17/06/2013 au 21/06/2013). In: , 2013.
Seront, Emmanuel ; Rottey, S. ; Sautois, B. ; Kerger, Joseph ; D'Hondt, Lionel ; Verschaeve, V. ; Canon, J.-L. ; Dopchie, C. ; Vandenbulcke, J. M. ; Whenham, N. ; Goeminne, J. C. ; Clausse, M. ; Verhoeven, D. ; Glorieux, P. ; Branders, Samuel ; Dupont, Pierre ; Schoonjans, J. ; Feron, Olivier ; Machiels, Jean-Pascal. Phase II study of everolimus in patients with locally advanced or metastatic transitional cell carcinoma of the urothelial tract: clinical activity, molecular response,and biomarkers. In: Annals of Oncology, Vol. 23, no. 10, p. 2663-2670 (2012). doi:10.1093/annonc/mds057.
Walkinshaw, Neil ; Lambeau, Bernard ; Damas, Christophe ; Bogdanov, Kirill ; Dupont, Pierre. STAMINA: A Competition to Encourage the Development and Assessment of Software Model Inference Techniques. In: Empirical Software Engineering : an international journal, Vol. 18, no.4, p. 791-824 (2013). doi:10.1007/s10664-012-9210-3.
Lombard, Catherine ; André, Floriane ; Wanty, Catherine ; Paul, Jérôme ; Dupont, Pierre ; Sokal, Etienne ; Smets, Françoise. Differences in the cytokine profiles of cord blood mononuclear cells from allergic and non-allergic infants. ESPGHAN 2012 (München Bryggeriet (Munchen Brewery) in Stockholm, du 27/04/2012 au 28/04/2012).
Paul, Jérôme ; Verleysen, Michel ; Dupont, Pierre. The stability of feature selection and class prediction from ensemble tree classifiers. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges (Belgium), du 25/04/2012 au 27/04/2012). In: ESANN 2012 The 20 th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Proceedings - Bruges, Belgium from 25 to 27 April 2012 ., 2012. 978-2-87419-047-6, 263-268.
Zakharov, Roman ; Dupont, Pierre. Ensemble logistic regression for feature selection. 6th IAPR International Conference on Pattern Recognition in Bioinformatics (Delft, The Netherlands, du 02/11/2011 au 04/11/2011). In: Lecture Notes in Bioinformatics, no. 7036, p. 133-144 (2011). doi:10.1007/978-3-642-24855-9_12.
Focant, Isabelle ; Lobato, Daniel Hernandez ; Ducreux, Julie ; Durez, Patrick ; Nzeusseu Toukap, Adrien ; Elewaut, Dirk ; Houssiau, Frédéric ; Dupont, Pierre ; Lauwerys, Bernard. Feasibility of a molecular diagnosis of arthritis based on the iIdentification of specific transcriptomic profiles in knee synovial biopsies. 75th Annual scientific meeting of the American College of Rheumatology ; 46th Annual scientific meeting of the Association of Rheumatology Health Professionals (Chicago, IL, USA, du 04/11/2011 au 09/11/2011). In: Arthritis & Rheumatism, Vol. 63, no.sppl, p. 751 (2011).
Hernandez-Lobato, Daniel ; Hernandez-Lobato, José Miguel ; Dupont, Pierre. Robust Multi-Class Gaussian process classification. Neural Information Processing Systems conference (NIPS'11) (Granada, Spain, du 13/12/2011 au 15/12/2011).
Faust, Karoline ; Dupont, Pierre ; Callut, Jerome ; van Helden, Jacques. Pathway discovery in metabolic networks by subgraph extraction. In: Bioinformatics, Vol. 26, no. 9, p. 1211-1218 (2010). doi:10.1093/bioinformatics/btq105.
Abeel, Thomas ; Helleputte, Thibault ; Van de Peer, Yves ; Dupont, Pierre ; Saeys, Yvan. Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. In: Bioinformatics, Vol. 26, no. 3, p. 392-398 (2010). doi:10.1093/bioinformatics/btp630.
Walkinshaw, Neil ; Bogdanov, Kirill ; Damas, Christophe ; Lambeau, Bernard ; Dupont, Pierre. A framework for the competitive evaluation of model inference techniques. 1st International workshop on Model Inference In Testing (Trento, Italy, du 12/07/2010 au 17/07/2010). In: Proceedings of the First International Workshop on Model Inference In Testing, ACM: New York, USA, 2010. 978-1-4503-0147-3, p. 1-9. doi:10.1145/1868044.1868045.
Hernandez-Lobato, Daniel ; Hernández-Lobato, José Miguel ; Helleputte, Thibault ; Dupont, Pierre. Expectation Propagation for Bayesian Multi-task Feature Selection. Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2010 (Barcelona, Spain, du 20/09/2010 au 24/09/2010). In: Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2010 (Lecture notes in artificial intellgience; 6321), Springer: (Germany) Heidelberg, 2010. 978-3-642-15879-7, 522-537.
Faust, Karoline ; Croes, Didier ; Dupont, Pierre ; Van Helden, Jacques. Predicting metabolic pathways from bacterial operons and regulons. European Conference on Computational Biology (ECCB10) (Ghent, Belgium, du 26/09/2010 au 29/09/2010).
Touleimat, Nizar ; Hernández-Lobato, Daniel ; Dupont, Pierre. Variance estimators for t-Test ranking influence the stability and predictive performance of microarray gene signatures. European Conference on Computational Biology (ECCB10) (Ghent, Belgium, September 26-29, 2010., du 26/09/2010 au 29/09/2010).
Dupont, Pierre ; Gaulis, Swann ; Helleputte, Thibault. Method for classifying a cancer patient as responder or non-responder to immunotherapy. Numéro de priorité ; Déposé (2010-03-18) ; Publié (2010-03-18). AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PE, PG, PH, PL, PT, RO, RS, RU, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. African Regional Intellectual Property Org. (ARIPO) (BW, GH, GM, KE, LS, MW, MZ, NA, SD, SL, SZ, TZ, UG, ZM, ZW) Eurasian Patent Organization (EAPO) (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM) European Patent Office (EPO) (AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, SE, SI, SK, SM, TR) African Intellectual Property Organization (OAPI) (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, ML, MR, NE, SN, TD, TG). AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PE, PG, PH, PL, PT, RO, RS, RU, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. African Regional Intellectual Property Org. (ARIPO) (BW, GH, GM, KE, LS, MW, MZ, NA, SD, SL, SZ, TZ, UG, ZM, ZW) Eurasian Patent Organization (EAPO) (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM) European Patent Office (EPO) (AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, SE, SI, SK, SM, TR) African Intellectual Property Organization (OAPI) (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, ML, MR, NE, SN, TD, TG)..
Narino Mendoza, Juan Pablo ; Donnet, Benoit ; Dupont, Pierre. A comparative study of path performance metrics predictors. Advances in learning for networking, ACM workshop in conjunction with SIGMETRICS/Performance (Seattle, USA, du 15/06/2009 au 15/06/2009).
Helleputte, Thibault ; Dupont, Pierre. Biomarker selection by transfer learning with linear regularized models. Third International Workshop on Machine Learning in Systems Biology (MLSB) (Ljubljana, Slovenia, du 05/09/2009 au 06/09/2009).
Helleputte, Thibault ; Dupont, Pierre. Feature selection by transfer learning with linear regularized models. Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2009 (Bled, Slovenia, 7-11 September 2009). In: Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2009 (Lecture notes in artificial intelligence; 5781), Springer-verlag, 2009. 978-3-642-04179-2, p. 533-547.
Helleputte, Thibault ; Dupont, Pierre. Partially supervised feature selection with regularized linear models. ICML '09 : 26th Annual International Conference on Machine Learning (Montréal, Canada, du 14/06/2009 au 18/06/2009). In: ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning, ACM: Montreal,Canada, 2009. 978-1-60558-516-1, p. 409-416.
Abeel, Thomas ; Helleputte, Thibault ; Van de Peer, Yves ; Dupont, Pierre ; Saeys, Yvan. Robust biomarker identification for cancer diagnosis using ensemble feature selection methods. Third International Workshop on Machine Learning in Systems Biology (MLSB) (Ljubljana, Slovenia, du 05/09/2009 au 06/09/2009).
Lambeau, Bernard ; Damas, Christophe ; Dupont, Pierre. State-merging DFA induction algorithms with mandatory merge constraints. Grammatical Inference: Algorithms and Applications. 9th International Colloquim, ICGI 2008 (Saint-Malo, France, du 22/09/2008 au 24/09/2008). In: Grammatical Inference: Algorithms and Applications. 9th International Colloquim, ICGI 2008 (Lecture notes in artificial intelligence; 5278), Springer-verlaq, 2009. 978-3-540-88008-0, p. 139-153.
Dupont, Pierre ; Lambeau, Bernard ; Damas, Christophe ; van Lamsweerde, Axel. The QSM algorithm and its application to software behavior model induction. In: Applied Artificial Intelligence : an international journal, Vol. 22, no. 1-2, p. 77-115 (2008). doi:10.1080/08839510701853200.
Callut, Jérome ; Dupont, Pierre ; Saerens, Marco ; Françoisse, Kevin. Semi-supervised Classification from Discriminative Random Walks (Lecture Notes in Artificial Intelligence), Springer-Verlag, 2008.
Lambeau, Bernard ; Damas, Christophe ; Dupont, Pierre. State-merging DFA Induction Algorithms with Mandatory Merge Constraints. In: 9th International Colloquium on Grammatical Inference (ICGI), Springer-Verlag, 2008, p. 139-153. 978-3-540-88008-0.
Callut, Jérome ; Dupont, Pierre ; Saerens, Marco ; Françoisse, Kevin. Classification in Graphs using Discriminative Random Walks : Semi-supervised learning, large graphs, betweenness measure, passage times. 6th International Workshop on Mining and Learning with Graphs (MLG) (Helsinki, Finland, du 04/07/2008 au 05/07/2008).
Louahed, Jamila ; Dréno, B. ; Gaulis, Swann ; Helleputte, Thibault ; Dupont, Pierre ; Gruselle, Olivier ; Spatz, A. ; Kruit, W. ; Lehmann, F. ; Brichard, Vincent. Clinical response to the MAGE-A3 immunotherapeutic in metastatic melanoma patients is associated with a specific gene profile present prior to treatment. European society for medical oncology (Stockholm, du 12/09/2008 au 16/09/2008). In: Annals of Oncology, Vol. 19, no. Sppl. 8, p. VIII61-VIII62 (2008).
Faust, Karoline ; Callut, Jérôme ; Dupont, Pierre ; van Helden, Jacques. Inference of pathways from metabolic networks by subgraph extraction. Second International Workshop on Machine Learning in Systems Biology (MLSB) (Brussel, Belgium, du 13/09/2008 au 14/09/2008).
Callut, Jérome ; Dupont, Pierre ; Saerens, Marco ; Françoisse, Kevin. Semi-supervised Classification in Graphs using Bounded Random Walks. 17th Annual Machine Learning Conference of Belgium and the Netherlands (Benelearn) (Liège, Belgium, du 18/05/2008 au 20/05/2008).
Callut, Jérome ; Françoisse, Kevin ; Dupont, Pierre ; Saerens, Marco. Semi-supervised classification from discriminative random walks. European Conference on Machine Learning (ECML 2008). In: Proceedings of the European Conference on Machine Learning, 2008. 978-3-540-87479-9, p. 162-177.
Schaus, Pierre ; Deville, Yves ; Dupont, Pierre. Bound-Consistent Deviation Constraint. In: Bessiere, Christian, Principles and Practice of Constraint Programming, CP 2007, Springer, 2007, p. 620-634. 978-3-540-74969-1.
Schaus, Pierre ; Deville, Yves ; Dupont, Pierre ; Regin, Jean-Charles. Simplification and extension of the SPREAD Constraint. In: Benhamou, Frédéric; Jussien, Narendra; O'Sullivan, Barry (Ed. by), Trends in Constraint Programming, 2007, p. 95-99. 978-1-905209-97-2.
Zampelli, Stéphane ; Deville, Yves ; Dupont, Pierre. Symmetry breaking in subgraph pattern matching. In: Frédéric Benhamou,Narendra Jussien,Barry O'Sullivan, Trends in Constraint Programming, 2007, p. 203-218. 978-1-905209-97-2.
Monette, Jean-Noël ; Schaus, Pierre ; Zampelli, Stéphane ; Deville, Yves ; Dupont, Pierre. A CP Approach to the Balanced Academic Curriculum Problem. Symcon'07, The Seventh International Workshop on Symmetry and Constraint Satisfaction Problems (Providence, USA, September 23).
Helleputte, Thibault ; Dupont, Pierre. A comparative study of normalization and feature selection techniques for breast cancer prognosis from gene expressions. Benelux Bioinformatics conference (BBC'07) (Leuven, Belgiqum, du 12/11/2007 au 13/11/2007).
Monette, Jean-Noël ; Deville, Yves ; Dupont, Pierre. A position-based propagator for the open-shop problem. Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. 4th International Conference, CPAIOR 2007 (Brussels, Belgium, 23-26 May 2007). In: Lecture Notes in Computer Science, Vol. 4510, p. 186-199. In: Integration of AI and OR Techniques in Constraint Programming forCombinatorial Optimization Problems. Proceedings 4th InternationalConference, CPAIOR 2007, Springer: (Germany) Heidelberg, 2007. 3-540-72396-X, p. 186-199.
Deville, Yves ; Dupont, Pierre ; Dooms, Grégoire ; Monette, Jean-Noël ; Schaus, Pierre ; Zampelli, Stéphane ; Wodak, Shoshana . BioEdge: a tool box for advanced analyses of biochemical networks. Benelux Bioinformatics Conference (BBC'07) (Leuven, Belgium, du 12/11/2007 au 13/11/2007).
Zampelli, Stephane ; Deville, Yves ; Solnon, Christine ; Sorlin, Sébastien ; Dupont, Pierre. Filtering for subgraph isomorphism. Principles and Practice of Constraint Programming. 13th International Conference, CP 2007 (Providence, RI, USA, du 23/09/2007 au 27/09/2007). In: Lecture Notes in Computer Science, Vol. 4741, p. 728-742. In: Principles and Practice of Constraint Programming. 13th International Conference, CP 2007, Springer: (Germany) Heidelberg, 2007. 3-540-74969-1, p. 728-742.
Zampelli, Stéphane ; Deville, Yves ; Solnon, Christine ; Sorlin, Sébastien ; Dupont, Pierre. Filtrage pour l'isomorphisme de sous-graphe. Journées Francophones de Programmation par Contraintes (JFPC'07) (Rocquencourt, France,, du 04/06/2007 au 06/06/2007).
Faust, Karoline ; Dupont, Pierre ; Callut, Jérôme ; van Helden, Jacques. Inference of pathways from metabolic networks by subgraph extraction. Benelux bioinformatics conference BBC07 (Leuven, Belgium, du 12/11/2007 au 13/11/2007).
Schaus, Pierre ; Deville, Yves ; Dupont, Pierre ; Régin, Jean-Charles. La Contrainte Déviation. Journées Francophones de Programmation par Contraintes (JFPC'07) (Rocquencourt, France, du 04/06/2007 au 06/06/2007).
Callut, Jérôme ; Dupont, Pierre. Learning partially observable Markov models from first passage times. Machine Learning: ECML 2007. 18th European Conference on Machine Learning (Warsaw, Poland, du 17/09/2007 au 21/09/2007). In: Machine Learning: ECML 2007. Proceedings 18th European Conference onMachine Learning. (Lecture Notes in Artificial Intelligence vol. 4701), Springer-verlag, 2007. 3-540-74957-8, 91-103.
Schaus, Pierre ; Deville, Yves ; Dupont, Pierre ; Régin, Jean-Charles. Simplification and extension of the SPREAD Constraint. Third international workshop on constraint propagation and implementation (Nantes, France, du 25/09/2006 au 25/09/2006).
Schaus, Pierre ; Deville, Yves ; Dupont, Pierre ; Regin, J.-C.. The deviation constraint. Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. 4th International Conference, CPAIOR 2007 (Brussels, Belgium, du 23/05/2007 au 26/05/2007). In: Lecture Notes in Computer Science, Vol. 4510, p. 260-274. In: Integration of AI and OR Techniques in Constraint Programming forCombinatorial Optimization Problems. Proceedings 4th InternationalConference, CPAIOR 2007, Springer: (Germany) Heidelberg, 2007. 3-540-72396-X, p. 260-274.
Monette, Jean-Noël ; Deville, Yves ; Dupont, Pierre. Un propagateur basé sur les positions pour le problème d'Open-Shop. Journées Francophones de Programmation par Contraintes (JFPC'07) (Rocquencourt, France,, du 04/06/2006 au 06/06/2007).
Dupont, Pierre. Comment choisir la taille d'un groupe ?. In: Raucent, Benoît ; Vander Borght, Cécile, Etre enseignant - Magister ? Metteur en scène ?, De Boeck (Bruxelles), 2006, p. 184-188. 2-8041-5047-X.
Dupont, Pierre. Noisy Sequence Classification with Smoothed Markov Chains. In: CAp 2006, Conférence d'Apprentissage, Presses Universitaires de Grenoble, 2006, p. 187-201. 2-7061-1372-3.
Dupont, Pierre. Quelles sont les compétences requises pour un tuteur dans les domaines scientifique et méthodologique ?. In: Raucent, Benoît ; Vander Borght, Cécile, Etre enseignant - Magister ? Metteur en scène ?, De Boeck (Bruxelles): Bruxelles, 2006, p. 329-332. 2-8041-5047-X.
Zampelli, Stéphane ; Deville, Yves ; Dupont, Pierre. Elimination des symétries pour l'appariement de graphes. JFPC'06, Deuxièmes Journées Francophones de Programmation par Contraintes (Nîmes, France, du 07/06/2006 au 09/06/2006).
Callut, Jerome ; Dupont, Pierre. Sequence discrimination using phase-type distributions. 17th European Conference on Machine Learning (ECML 2006) (Berlin(Germany), Sep 18-22, 2006). In: Lecture Notes in Computer Science, Vol. 4212, p. 78-89 (2006). doi:10.1007/11871842_12.
Schaus, Pierre ; Deville, Yves ; Dupont, Pierre ; Régin, Jean-Charles. Simplification and extension of the SPREAD Constraint. Third International Workshop on Constraint Propagation And Implementation (CPAI'06) (Nantes, France, du 25/09/2006 au 25/09/2006).
Zampelli, Stéphane ; Deville, Yves ; Dupont, Pierre. Symmetry Breaking in Subgraph Pattern Matching. Sixth International Workshop on Symmetry in Constraint Satisfaction Problems (SymCon'06) (Nantes, France, du 25/09/2002 au 25/09/2006). In: Trends in Constraint Programming, Wiley, 2006. 978-1-905209-97-2, p. 203-218.
Dupont, Pierre ; Callut, Jérôme ; Dooms, Grégoire ; Monette, Jean-Noël ; Deville, Yves. Relevant subgraph extraction from random walks in a graph, 2006. 1-30 p.
Damas, Christophe ; Lambeau, Bernard ; Dupont, Pierre ; van Lamsweerde, Axel. Generating annotated behavior models from end-user scenarios. In: IEEE Transactions on Software Engineering, Vol. 31, no. 12, p. 1056-1073 (2005). doi:10.1109/TSE.2005.138.
Dupont, Pierre ; Denis, Eliane ; Esposito, Y. Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms. In: Pattern Recognition, Vol. 38, no. 9, p. 1349-1371 (2005). doi:10.1016/j.patcog.2004.03.020.
Dupont, Pierre. Une expérience de Candis 2000. In: Galand, Benoit ; Frenay Mariane, L'approche par problèmes et par projets dans l'enseignement supérieur : impact, enjeux et défis, Presses universitaires de Louvain, 2005, p. 54-59. 2-930344-89-X.
Dooms, Grégoire ; Deville, Yves ; Dupont, Pierre. A Mozart implementation of CP(BioNet). 2nd International Conference Multiparadigm Programming in Mozart/Oz (Charleroi(Belgium), Oct 07-08, 2004). In: Lecture Notes in Computer Science, Vol. 3389, p. 237-250 (2005). doi:10.1007/978-3-540-31845-3_20.
Zampelli, S. ; Deville, Yves ; Dupont, Pierre. Approximate constrained subgraph matching. 11th International Conference on Principles and Practice of Constraint Programming (CP 2005) (Sitges(Spain), Oct 01-05, 2005). In: Lecture Notes in Computer Science, Vol. 3709, p. 832-836 (2005). doi:10.1007/11564751_74.
Vast, Sébastien ; Dupont, Pierre ; Deville, Yves. Automatic extraction of relevant nodes in biochemical networks. Atelier Apprentissage et Bioinformatique, CAp 2005, Conférence d'Apprentissage (Nice, France, du 31/05/2005 au 03/06/2005).
Deville, Yves ; Dooms, Grégoire ; Zampelli, Stéphane ; Dupont, Pierre. CP(Graph+Map) for Approximate Graph Matching. 1st International Workshop on Constraint Programming Beyond Finate Integer Domains (Stiges, Spain, du 01/10/2005 au 01/10/2005).
Dooms, Grégoire ; Deville, Yves ; Dupont, Pierre. CP(graph): Introducing a graph computation domain in constraint programming. 11th International Conference on Principles and Practice of Constraint Programming (CP 2005) (Sitges(Spain), Oct 01-05, 2005). In: Lecture Notes in Computer Science, Vol. 3709, p. 211-225 (2005). doi:10.1007/11564751_18.
Dooms, Grégoire ; Deville, Yves ; Dupont, Pierre. Constrained metabolic network analysis: discovering pathways using CP(Graph). Workshop on Constraint Based Methods for Bioinformatics, CP2005 (Sitges, Spain, du October 5, 2005 au 05/10/2005).
Zampelli, Stéphane ; Deville, Yves ; Dupont, Pierre. Declarative Approximate Graph Matching Using a Constraint Approach. Second International Workshop on Constraint Propagation and Implementation (Stiges, Spain, du 01/10/2005 au 01/10/2005).
Callut, J. ; Dupont, Pierre. F/sub beta / support vector machines. Proceedings of the International Joint Conference on Neural Networks 2005 (Montreal, Que., Canada, 31 July-4 August 2005). In: Proceedings of the International Joint Conference on Neural Networks2005 (IEEE Cat. No. 05CH37663C), IEEE, 2005. 0-7803-9048-2, Vol. 3, p. 1443-8 .
Callut, J. ; Dupont, Pierre. Inducing Hidden Markov Models to model long-term dependencies. 16th European Conference on Machine Learning (ECML)/9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) (Oporto(Portugal), Oct 03-07, 2005). In: Lecture Notes in Computer Science, Vol. 3720, p. 513-521 (2005). doi:10.1007/11564096_49.
de Marneffe, Marie-Catherine ; Archambeau, Cédric ; Dupont, Pierre ; Verleysen, Michel. Local Vector-based Models for Sense Discrimination. Proceedings of IWCS 2005, 6th International Workshop on Computational Semantics (Tilburg (the Netherlands), du 12/01/2005 au 14/01/2005).
Callut, Jérôme ; Dupont, Pierre. Séparateurs à vaste marge optimisant la fonction Fbeta. CAp 2005, Conférence d'Apprentissage (Nice, France, du 31/05/2005 au 03/06/2005).
Callut, Jérôme ; Dupont, Pierre. Learning hidden Markov models to fit long-term dependencies, 2005. 28 p.
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.
Kermorvant, Christian ; de la Higuera, Colin ; Dupont, Pierre. Learning typed automata from automatically labeled data. In: Journal electonique d'intelligence artificielle, Vol. 6, no. 45 (2004).
Kermorvant, Christopher ; de la Higuera, Colin ; Dupont, Pierre. Improving probabilistic automata learning with additional knowledge. In: Fred, A.; Caelli, T.; Duin, R.P.W.; Campilho, A.; Ridder, D.d., Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Springer-Verlag: Heilderberg, 2004, p. 260-268. 3-540-22570-6.
Callut, J. ; Dupont, Pierre. A Markovian approach to the induction of regular string distributions. 7th International Colloquium on Grammatical Inference (Athens(Greece), Oct 11-nov 01, 2004). In: Lecture Notes in Computer Science, Vol. 3264, p. 77-90 (2004). doi:10.1007/978-3-540-30195-0_8.
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).
de Marneffe, Marie-Catherine ; Dupont, Pierre. Comparative study of statistical word sense discrimination,. Proceedings of the 7th International Conference on Textual Data Statistical Analysis (Louvain-la-Neuve, Belgique, du 10/03/2004 au 12/03/2004).
Dooms, Grégoire ; Deville, Yves ; Dupont, Pierre. Constrained Path Finding in Biochemical Networks: a Constraint Programming Approach. 5th Open Days in Biology, Computer Science and Mathematics (JOBIM 2004) (Montreal, Canada, du 28/06/2004 au 30/06/2004).
Zampelli, Stéphane ; Deville, Yves ; Dupont, Pierre. Finding Patterns in Biochemical Networks. 5h Open Days in Biology, Computer Science and Mathematics (JOBIM 2004) (Montreal, Canada, du 28/06/2004 au 30/06/2004).
Dooms, Grégoire ; Deville, Yves ; Dupont, Pierre. Recherche de chemins contraints dans les réseaux biochimiques. Treizièmes Journées Francophones de Programmation en Logique et de Programmation par contraintes (JFPLC 2004) (Angers, France, du 21/06/2004 au 23/06/2004).
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).
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.
Kermorvant, Christopher ; de la Higuera, Colin ; Dupont, Pierre. Construction de Modèles de Langages par Inférence d'Automates Typés à partir de Données Etiquetées Automatiquement. Conférence d'apprentissage (Laval, France, du 01/07/2003 au 03/07/2003).
Kermorvant, Christopher ; Dupont, Pierre. Improved smoothing for Probabilistic Suffix Trees seen as variable order Markov chains. In: T. Elomaa; H. Mannila ; H. Toivonen, Machine Learning: ECML 2002, Springer Verlag, 2002, p. 185-194. 3-540-44036-4.
Esposito, Yann ; Lemay, Aurélien ; Denis, François ; Dupont, Pierre. Learning Probabilistic Residual Finite Automata. In: P. Adriaans ; H. Fernau ; M. van Zaanen, Grammatical Inference: Algorithms and Applications, Springer-Verlag: Amsterdam, The Netherlands, 2002, p. 77-91. 3-540-44239-1.
Kermorvant, Christopher ; Dupont, Pierre. Stochastic grammatical inference with multinomial tests. In: P. Adriaans ; H. Fernau ; M. van Zaanen, Grammatical Inference: Algorithms and Applications, Springer-Verlag: Amsterdam, The Netherlands, 2002, p. 149-160. 3-540-44239-1.
Kermorvant, Christopher ; Dupont, Pierre. Mélanges de Chaînes de Markov lissées pour la détection de domaines dans les protéines. Proceedings des Journées ouvertes biologie informatique mathématique (Saint-Malo, France, du 10/06/2002 au 12/06/2002).
González, J. ; Juan, A. ; Dupont, Pierre ; Vidal, E. ; Casacuberta, F.. A Bernoulli mixture model for word categorisation. Proceedings of Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes (Benicàssim (Spain), du 14/05/2001 au 18/05/2001).
Kermorvant, C. ; Dupont, Pierre. Inférence d'automates et correction d'erreurs pour la classification des protéines. Conférence d'Apprentissage (Grenoble, du 25/06/2001 au 27/06/2001).
Thollard, Franck ; Dupont, Pierre ; de la Higuera, Colin. Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. In: Pat Langley, International Conference on Machine Learning, Morgan Kauffman, 2000, p. 975 - 982. 1-55860-707-2.
Dupont, Pierre ; Amengual, Juan-Carlos. Smoothing probabilistic automata: an error-correcting approach. In: Arlindo L. Oliveira, Grammatical Inference: Algorithms and Applications, Springer-Verlag, 2000, p. 51-64. 3-540-41011-2.
Thollard, Franck ; Dupont, Pierre. Inférence Grammaticale Probabiliste utilisant la divergence de Kullback-Leibler et un principe de minimalité. Conférence d'Apprentissage (Saint-Etienne, France, du 14/06/2000 au 16/06/2000).
Boë, Louis-Jean ; Bimbot, Frédéric ; Bonastre, Jean-François ; Dupont, Pierre. Des évaluations des systèmes de vérification du locuteur à la mise en cause des expertises vocales en identification juridique. In: Cahiers d'Etudes et de Recherches Francophones. Langues, Vol. 2, no. 4, p. 270--288 (1999).
Miclet, Laurent ; Chodorowski, Jacques ; Dupont, Pierre. Apprentissage et évaluation de modèles de langage par des techniques de correction d'erreurs. Conférence d'Apprentissage (Palaiseau, France, du 15/06/1999 au 18/06/1999).
Thollard, Franck ; Dupont, Pierre. Entropie relative et algorithmes d'inférence grammaticale probabiliste. Conférence d'apprentissage (Palaiseau, France, du 15/06/1999 au 18/06/1999).
Dupont, Pierre ; Miclet, Laurent. Inférence grammaticale régulière : fondements théoriques et principaux algorithmes. In: Institut National de Recherche en Informatique et en Automatique. Rapports de Recherche, , no. 3449, p. 1-83 (1998).
Dupont, Pierre ; Chase, Lin. Using symbol clustering to improve probabilistic automaton inference. In: Vasant Honavar, Giora Slutzki, Grammatical Inference, Ames, Iowa, USA, July 12-14, 1998, Springer-Verlag: Berlin, 1998, p. 232 - 243. 3-540-64776-7.
Dupont, Pierre ; Rosenfeld, Ronald. Lattice based language models, 1997.
Dupont, Pierre. Polynomial regular inference (Technical report EURISE; 9705), 1997. n/a p.
Dupont, Pierre. Incremental Regular Inference. In: Laurent Miclet, Colin de la Higuera, Grammatical Inference: learning syntax from sentences (Lecture Notes in Computer sciences; 1147), Springer-Verlag: Berlin, 1996, p. 222 -- 237. 3-540-61778-7.
Sadek, D. ; Bretier, P. ; Cadoret, V. ; Cozannet, P. ; Dupont, Pierre ; Ferrieux, A. ; Panaget, F.. A Cooperative spoken dialogue system based on a rational agent model: a first implementation on the AGS application. ESCA Tutorial and Research Workshop on Spoken Dialogue Systems (Visgo, Denmark, du 30/03/1995 au 02/06/1995).
Miclet, L. ; Dupont, Pierre ; Vial, S.. Inférence Grammaticale Régulière : méthodes semi-itératives et mesure de performance. Journées Francophones d'Apprentissage (Grenoble, France, du 01/03/2005 au 07/03/2005).
Dupont, Pierre. Interpolated Word and Class Bigram Models for Spanish Conversational Speech Recognition. IEEE Workshop on Automatic Speech Recognition (Snowbird, Utah, USA, du 10/12/1995 au 13/12/1995).
Dupont, Pierre. Regular Grammatical Inference from Positive and Negatives Samples by Genetic Search : the GIG method. In: R. Carrasco, J. Oncina, Grammatical Inference and Applications, Alicante, Spain, September 21-23, 1994, Springer-Verlag: Berlin, 1994, p. 236--245. 3-540-58473-0.
Dupont, Pierre ; Miclet, L. ; Vidal, E.. What is the search space of Regular Inference?. In: R. Carrasco, J. Oncina, Grammatical Inference and Applications, Alicante, Spain, September 21-23, 1994 (Lecture notes in artificial intelligence), Springer-Verlag: Berlin, 1994, p. 25-37. 3-540-58473-0.
Dupont, Pierre ; Pinson, F.. Inférence Grammaticale Régulière par Optimisation Génétique à partir d'échantillons positifs et négatifs : la méthode GIG. Journées Francophones d'Apprentissage (Strasbourg, France, du 01/03/1994 au 07/03/1994).
Dupont, Pierre. Efficient Integration of Context-Free Based Language Models in Continuous Speech Recognition. In: A. Rubio Ayuso, J. López Soler, New Advances and Trends in Speech Recognition and Coding, Springer -Verlag: Berlin, 1993, p. 179-182. 3-540-60098-1.
Dupont, Pierre. Dynamic Use of Syntactical Knowledge in Continuous Speech Recognition. Proceedings European Conference on Speech Communication and Technology (Berlin, Germany, du 22/09/1993 au 25/09/1993).
Dupont, Pierre ; Kamp, Yves. Guiding Speech Recognition by a Language Model. In: André Thayse, From Natural Language Processing to Logic for Expert Systems, John Wiley & Sons: Chichester, 1991, p. 1-48. 0-471-92431-8.
Dupont, Pierre ; Thayse, André. Montague's Semantics and Boolean Semantics for Natural Language Representation. In: Philips Journal of Research, Vol. 45, no. 1, p. 41-66 (1990).
Dupont, Pierre ; Kamp, Yves. Reconnaissance de la parole pilotée par un modèle linguistique. In: André Thayse, Approche logique de l'intelligence artificielle. 3. Du traitement de la langue à la logique des systèmes experts, Bordas: Paris, 1990, p. 1-61. 2-04-019648-X.