Members

Benoit Frénay

Contact Information

Benoit Frénay
PhD



Belgium

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Biography

Benoit Frénay

Previous Member



Publications

Article de périodique (Journal article)
2015
  • Frénay, Benoît ; Verleysen, Michel. Classification in the Presence of Label Noise: a Survey. In: IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, no. 5, p. 845-869 (10/04/2015). doi:10.1109/TNNLS.2013.2292894. http://hdl.handle.net/2078.1/138145

  • Frénay, Benoît ; Verleysen, Michel. Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers. In: IEEE Transactions on Cybernetics, no. 99, p. 13 (17/12/2015). doi:10.1109/TCYB.2015.2504404. http://hdl.handle.net/2078.1/171346

  • 2014
  • Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. Estimating Mutual information for feature selection in the presence of label noise. In: Computational Statistics & Data Analysis, Vol. 71, p. 832-848 (1 May 2013). doi:10.1016/j.csda.2013.05.001. http://hdl.handle.net/2078.1/138189

  • Frénay, Benoît ; Verleysen, Michel. Pointwise probability reinforcements for robust statistical inference. In: Neural Networks, Vol. 50, p. 124-141 (14 November 2013). doi:10.1016/j.neunet.2013.11.012. http://hdl.handle.net/2078.1/138178

  • 2013
  • Frénay, Benoît ; van Heeswijk, Mark ; Miche, Yoan ; Verleysen, Michel ; Lendasse, Amaury. Feature selection for nonlinear models with extreme learning machines. In: Neurocomputing, Vol. 102, p. 111-124 (15 February 2013). doi:10.1016/j.neucom.2011.12.055. http://hdl.handle.net/2078.1/116535

  • Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. Is mutual information adequate for feature selection in regression?. In: Neural Networks, Vol. 48, p. 1-7 (4 July 2013). doi:10.1016/j.neunet.2013.07.003. http://hdl.handle.net/2078.1/138199

  • Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification. In: Neurocomputing, Vol. 112, p. 64-78 (2013). doi:10.1016/j.neucom.2012.12.051. http://hdl.handle.net/2078.1/138203

  • 2011
  • Frénay, Benoît ; Verleysen, Michel. Parameter-insensitive kernel in extreme learning for non-linear support vector regression. In: Neurocomputing, Vol. 74, no.16, p. 2526-2531 (September 2011). doi:10.1016/j.neucom.2010.11.037. http://hdl.handle.net/2078.1/116543

  • 2010
  • Thomas, Isabelle ; Frankhauser, Pierre ; Frénay, Benoît ; Verleysen, Michel. Clustering patterns of urban built-up areas with curves of fractal scaling behaviour. In: Environment and Planning B. Planning and Design, Vol. 37, no. 5, p. 942-954 (2010). doi:10.1068/b36039. http://hdl.handle.net/2078.1/33417

  • 2008
  • Frénay, Benoît ; Saerens, Marco. QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. In: Neurocomputing, Vol. 72, no. 7-9, p. 1494-1507 (2008). http://hdl.handle.net/2078/24537

  • Communication à un colloque (Conference Paper)
    2015
  • Degeest, Alexandra ; Verleysen, Michel ; Frénay, Benoît. Feature Ranking in Changing Environments where New Features are Introduced. 2015 International Joint Conference on Neural Networks (IJCNN 2015) (Killarney (Ireland), du 12/07/2015 au 17/07/2015). In: Proceedings of IJCNN 2015, IEEE, 2015. 978-1-4799-1959-8/15, 1-8. doi:10.1109/IJCNN.2015.7280533. doi:10.1109/IJCNN.2015.7280533. http://hdl.handle.net/2078.1/171351

  • 2014
  • Frénay, Benoît ; Kaban, Ata. A Comprehensive Introduction to Label Noise. 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014) (Bruges (Belgium), du 23/04/2014 au 25/04/2014). In: Proceedings of the 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), i6doc.com.publ., 2014. 978-287419095-7, p. 667-676. http://hdl.handle.net/2078.1/156597

  • Degeest, Alexandra ; Frénay, Benoît ; Verleysen, Michel. Automatic Correction of SVM for Drifted Data Classification. 14 ème conférence Extraction et Gestion des Connaissances (EGC 2014) (Rennes (France), du 28/01/2014 au 31/01/2014). In: Proceedings de la 14 ème conférence Extraction et Gestion des Connaissances (EGC 2014), 2014. http://hdl.handle.net/2078.1/138448

  • Frénay, Benoît ; Hofmann, Daniela ; Schulz, Alexander ; Biehl, Michael ; Hammer, Barbara. Valid Interpretation of Feature Relevance for Linear Data Mappings. 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014) (Orlando (USA), du 09/12/2014 au 12/12/2014). In: , 2014. 978-1-4799-4518-4. http://hdl.handle.net/2078.1/156598

  • 2013
  • Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. Mutual Information: an Adequate Tool for Feature Selection. 22nd edition of the annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2013) (Nijmegen (the Netherlands), du 03/06/2013 au 03/06/2013). In: Proceedings of the 22nd edition of the annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2013), 2013. http://hdl.handle.net/2078.1/138452

  • Doquire, Gauthier ; Frénay, Benoît ; Verleysen, Michel. Risk Estimation and Feature Selection. European Symposium on Artificial Neural Networks (ESANN 2013) (Bruges (Belgium), du 24/04/2013 au 26/04/2013). In: Proceedings of European Symposium on Artificial Neural Networks (ESANN 2013), 2013, 161-166. http://hdl.handle.net/2078.1/138455

  • 2012
  • Frénay, Benoît ; Doquire, Gauthier ; Verleysen, Michel. On the Potential Inadequacy of Mutual Information for Feature Selection. 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012) (Bruges (Belgium), du 25/04/2012 au 27/04/2012). In: Proceedings of the 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), i6doc.com, 2012. 978-2-87419-049-0, p. 501-506. http://hdl.handle.net/2078.1/116666

  • 2011
  • Frénay, Benoît ; de Lannoy, Gaël ; Verleysen, Michel. Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2011) (Athens (Greece), du 05/09/2011 au 11/09/2011). In: Lecture Notes in Computer Science, Vol. 6911, p. 455-470 (2011). In: Proceedings of ECML-PKDD 2011, Springer: (Germany) Heidelberg, 2011. doi:10.1007/978-3-642-23780-5. http://hdl.handle.net/2078.1/116594

  • 2010
  • Frénay, Benoît ; Verleysen, Michel. Using SVMs with randomised feature spaces: an extreme learning approach. 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) (Bruges (Belgium), du 28/04/2010 au 30/04/2010). In: Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010), 2010, p. 315-320. http://hdl.handle.net/2078.1/90878

  • 2009
  • Thomas, Isabelle ; Frankhauser, Pierre ; Frénay, Benoît ; Verleysen, Michel. Clustering fractal urban patterns with curves of scaling behavior. 49th Congress of the European Regional Science Association "Territorial cohesion of Europe and integrative planning" (ERSA 2009) (Lodz (Poland), du 25/08/2009 au 29/08/2009). In: Proceedings of the 49th Congress of the European Regional Science Association "Territorial cohesion of Europe and integrative planning" (ERSA 2009), 2009, 71. http://hdl.handle.net/2078.1/90905

  • Frankhauser, Pierre ; Frénay, Benoît ; Thomas, Isabelle ; Verleysen, Michel. Clustering patterns of urban builtup areas with curves of fractal scaling behavior. ASRDLF 2009, Association de Science Régionale de Langue Française (Clermont-Ferrand (France), du 06/07/2009 au 08/07/2009). In: , 2009. http://hdl.handle.net/2078.1/108642

  • Frénay, Benoît ; de Lannoy, Gaël ; Verleysen, Michel. Improving the transition modelling in hidden Markov models for ECG segmentation. 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009) (Bruges (Belgium), du 22/04/2009 au 24/04/2009). In: Proceedings of the 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009), 2009. 2-930307-09-9, p. 141-146. http://hdl.handle.net/2078.1/90923

  • Frénay, Benoît ; Saerens, Marco. QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games. 18th European Symposium on Artificial Neural Networks (Brugge(Belgium), Apr, 2008). In: Proceedings of the 16th European Symposium on Artificial Neural Networks, 2009. http://hdl.handle.net/2078.1/58983

  • 2008
  • Frénay, Benoît ; de Lannoy, Gaël ; Verleysen, Michel. Emission Modelling for Supervised ECG Segmentation using Finite Differences. 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008 (Antwerp (Belgium)). In: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008, Springer verlag, 2008. 978-3-540-89207-6, p. 1212-1216. http://hdl.handle.net/2078.1/67454

  • de Lannoy, Gaël ; Frénay, Benoît ; Verleysen, Michel ; Delbeke, Jean. Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models. 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008) (Antwerp (Belgium), du 23/11/2008 au 27/11/2008). In: Proceedings of the 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008), Springer verlag, 2008. 978-3-540-89207-6, 22-25. http://hdl.handle.net/2078.1/67459

  • Thèse (Dissertation)
    2013
  • Frénay, Benoît. Uncertainty and label noise in machine learning, prom. : Verleysen, Michel, 12/09/2013. http://hdl.handle.net/2078.1/134618