Nombre de documents


CV de Wafa Bel Haj Ali

Thèse1 document

  • Wafa Bel Haj Ali. Minimization of calibrated loss functions for image classification. Other [cs.OH]. Université Nice Sophia Antipolis, 2013. English. <NNT : 2013NICE4079>. <tel-00934062>

Communication dans un congrès8 documents

  • Lionel Fillatre, Muriel Dumontet, Wafa Bel Haj Ali, Marc Antonini, Michel Barlaud. Hybrid weighted-stego detection using machine learning. IEEE International Conference on Image Processing (ICIP), 2014, Paris, France. <hal-01303095>
  • Wafa Bel Haj Ali, Richard Nock, Franck Nielsen, Michel Barlaud. Fast Newton Nearest Neighbors Boosting For Image Classification. MLSP - 23rd Workshop on Machine Learning for Signal Processing, Sep 2013, Southampton, United Kingdom. IEEE, pp.6, 2013. <hal-00959125>
  • Roberto D'Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda, Franck Nielsen, et al.. Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability. MICCAI - 15th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France. Springer, 7588, pp.119-127, 2012, Lecture Notes in Computer Science. <10.1007/978-3-642-35428-1_15>. <hal-00958909>
  • Wafa Bel Haj Ali, Paolo Piro, Lydie Crescence, Dario Giampaglia, Oumelkheir Ferhat, et al.. A Bio-inspired Learning and Classification Method for Subcellular Localization of a Plasma Membrane Protein. Gabriela Csurka, José Braz. VISAPP - Proceedings of the International Conference on Computer Vision Theory and Applications, Feb 2012, Rome, Italy. SciTePress, 1, pp.579-584, 2012. <hal-00959309>
  • Roberto D'Ambrosio, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen, Michel Barlaud. Boosting Nearest Neighbors for the Efficient Estimation of Posteriors. ECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. pp.16, 2012. <hal-00702771>
  • Wafa Bel Haj Ali, Paolo Piro, Dario Giampaglia, Thierry Pourcher, Michel Barlaud. Biological cells classification using bio-inspired descriptor in a boosting k-NN framework. CBMS - 25th International Symposium on Computer-Based Medical Systems, Jun 2012, Rome, Italy. IEEE, pp.1-6, 2012, <10.1109/CBMS.2012.6266359>. <hal-00958860>
  • Wafa Bel Haj Ali, Dario Giampaglia, Michel Barlaud, Paolo Piro, Richard Nock, et al.. Classification of biological cells using bio-inspired descriptors. ICPR - 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. IEEE, pp.3353-3357, 2012. <hal-00958856>
  • Wafa Bel Haj Ali, Eric Debreuve, Pierre Kornprobst, Michel Barlaud. Bio-Inspired Bags-of-Features for Image Classification. KDIR - International Conference on Knowledge Discovery and Information Retrieval - 2011, 2011, Paris, France. pp.277-281, 2011. <hal-00845745>

Article dans une revue1 document

  • Richard Nock, Wafa Bel Haj Ali, Roberto D'Ambrosio, Franck Nielsen, Michel Barlaud. Gentle Nearest Neighbors Boosting over Proper Scoring Rules. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2014, pp.14. <10.1109/TPAMI.2014.2307877>. <hal-00958809>

Chapitre d'ouvrage1 document

  • Jenny Benois-Pineau, Sandrine Anthoine, Claire Morand, Jean-Philippe Domenger, Eric Debreuve, et al.. Scalable Indexing of HD Video. Mrak, Marta; Grgic, Mislav; Kunt, Murat. High-Quality Visual Experience, Springer, pp.497-524, 2010, Signals and Communication Technology. <hal-00506936>

Rapport1 document

  • Wafa Bel Haj Ali, Michel Barlaud, Richard Nock. Minimizing Calibrated Loss using Stochastic Low-Rank Newton Descent for large scale image classification. 2013. <hal-00825414>