Publications

A complete list of my publications is available in Google Scholar page

Journal Articles

Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, and Julien Audiffren. Operator-valued Kernels for Learning from Functional Response Data. The Journal of Machine Learning Research (JMLR), April 2016.

Asma Rabaoui, Hachem Kadri, Zied Lachiri, and Noureddine Ellouze. Evaluating One-Class SVMs in audio detection and classification applications. EURASIP Journal on Advances in Signal Processing. Eurasip, March 2008.

Hachem Kadri, Zied Lachiri, and Noureddine Ellouze. Audio Speaker Segmentation Techniques Based on a Hybrid Approach. GESTS International Transactions on Computer Science and Engineering. GESTS, July 2005.

Conference and Workshop Proceedings

2017

29- Julien Audiffren, and Hachem Kadri. M-Power Regularized Least Squares Regression. In Proc. International Joint Conference on Neural Networks (IJCNN), Alaska, USA, May 2017.

2016

28- Guillaume Rabusseau, and Hachem Kadri. Low-Rank Regression with Tensor Responses. In Advances in Neural Information Processing Systems (NIPS). Barcelona, Spain, December 2016.

2015

27- Julien Audiffren, and Hachem Kadri. Online Learning with Operator-valued Kernels. In Proc. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, Apr. 2015.

26- Pierre-Olivier Amblard, and Hachem Kadri. Operator-valued Kernel Recursive Least Squares Algorithm. In Proc. European Signal Processing Conference (EUSIPCO), Nice, France, Aug. 2015.

25- Pierre-Olivier Amblard, and Hachem Kadri. Algorithme LMS pour la régression à noyau multivariée parcimonieuse. Colloque Gretsi, Lyon, France, Sep. 2015.

24- Guillaume Rabusseau, Hachem Kadri, and François Denis. Régression de faible rang non-paramétrique pour réponses tensorielles. Colloque Gretsi, Lyon, France, Sep. 2015.

2013

23- Hachem Kadri, Mohammad Ghavamzadeh, and Philippe Preux. A Generalized Kernel Approach to Structured Output Learning. In Proc. International Conference on Machine Learning (ICML), Atlanta, June 2013.

22- Julien Audiffren, and Hachem Kadri. Stability of Multi-Task Kernel Regression Algorithms. In Proc. Asian Conference on Machine Learning (ACML), Canberra, Australia, Nov. 2013.

21- Hachem Kadri, Stéphane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, and Emilie Morvant. The Multi-Task Learning View of Multimodal Data. In Proc. Asian Conference on Machine Learning (ACML), Canberra, Australia, Nov. 2013.

20- Julien Audiffren, and Hachem Kadri. Stabilité uniforme de la régression non linéaire par moindres carrés régularisés avec des noyaux à valeurs opérateurs. Conférence Francophone sur l'Apprentissage Automatique (CAP), Lille, July 2013.

19- Asma Rabaoui, Hachem Kadri, and Manuel Davy. Processus de Dirichlet à mélanges pour la classification non supervisée de données fonctionnelles multivariées. In XXIVe Colloque GRETSI: Traitement du signal & des images (GRETSI). Brest, September 2013.

2012

18- Hachem Kadri, Alain Rakotomamonjy, Francis Bach, and Philippe Preux. Multiple Operator-valued Kernel Learning. In Advances in Neural Information Processing Systems 25 (NIPS). Lake Tahoe, December 2012.

17- Hachem Kadri, Mohammad Ghavamzadeh, and Philippe Preux. Structured Output Prediction using Covariance-based Operator-valued Kernels. ICML workshop on Object, functional and structured data: towards next generation kernel-based methods (OFSD 2012), Edinburgh, June 2012.

16- Hachem Kadri, Alain Rakotomamonjy, Francis Bach, and Philippe Preux. A Multiple Operator-valued Kernel Learning Approach to Functional Regression with Functional Responses. ICML workshop on Object, functional and structured data: towards next generation kernel-based methods (OFSD 2012), Edinburgh, June 2012.

15- Asma Rabaoui, Hachem Kadri, and Manuel Davy. Nonparametric Bayesian Supervised Classification of Functional Data. In Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP). Kyoto, Japan, March 2012.

2011

14- Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, and Alain Rakotomamonjy. Functional Regularized Least Squares Classiffication with Operator-valued Kernels. In Proc. International Conference on Machine Learning (ICML), Seattle, June 2011.

13- Hachem Kadri, Philippe Preux, Emmanuel Duflos, and Stéphane Canu. Multiple functional regression with both discrete and continuous covariates. in Proc. International Workshop on Functional and Operatorial Statistics (IWFOS), Santander, June 2011.

12- Hachem Kadri, Emmanuel Duflos, and Philippe Preux. Learning vocal tract variables with multi-task kernels. In Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 821-826, Prague, Czech Republic, May 2011.

11- Asma Rabaoui, Hachem Kadri, and Manuel Davy. Bayesian Nonparametric Methods Are Naturally Well Suited to Functional Data Analysis. NIPS workshop on Bayesian Nonparametrics: Hope or Hype? (NPB 2011), Sierra Nevada, 2011.

10- Hachem Kadri, Philippe Preux, and Emmanuel Duflos. Functional Kernel Ridge Regression with Functional Responses. In Proc. Journées de statistiques (JDS), Mai 2011.

2010

9- Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu and Manuel Davy. Nonlinear functional regression: a functional RKHS approach. In Proc. Artificial Intelligence and Statistics (AI&Stats), Italy, May 2010.

8- Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu, and Manuel Davy. Function-valued Reproducting Kernel Hilbert Spaces and Applications. NIPS workshop on Tensors, Kernels, and Machine Learning (TKML 2010), Vancouver, 2010.

2008

7- Asma Rabaoui, Hachem Kadri, and Noureddine Ellouze. New approaches based on One-Class SVMS for impulsive sounds recognition tasks . In International Workshop on Machine Learning for Signal Processing (MLSP), 2008.

6- Hachem Kadri, Manuel Davy, Asma Rabaoui, Zied Lachiri, and Noureddine Ellouze. Robust audio speaker segmentation using One-Class SVMs. In European Signal Processing Conference (EUSIPCO), 2008.

5- Asma Rabaoui, Hachem Kadri, Zied Lachiri, and Noureddine Ellouze. Using robust feautures with Multi-Class SVMs to classify noisy sounds. In IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (ISCCSP), 2008.

2007

4- Hachem Kadri, Zied Lachiri, and Noureddine Ellouze. Speaker segmentation enhancement for meetings. In IEEE Fourth International Multi-Conference on Systems, Signals & Devices (SSD), 2007.

2006

3- Hachem Kadri, Zied Lachiri, and Noureddine Ellouze. Hybrid approach for unsupervised audio speaker segmentation. In European Signal Processing Conference (EUSIPCO), 2006.

2- Hachem Kadri, Zied Lachiri, and Noureddine Ellouze. Robustness improvement of speaker segmentation techniques based on the bayesian information criterion. In IEEE International Conference on Information et Communication Technologies: From Theory To Applications (ICTTA), 2006.

1- Hachem Kadri, Zied Lachiri, and Noureddine Ellouze. Speaker change detection method evaluated on arabic speech corpus. In IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (ISCCSP), 2006.

Book Chapters

Hachem Kadri, Manuel Davy, and Noureddine Ellouze. Robust Unsupervised Speaker Segmentation for Audio Diarization. in Recent Advances in Signal Processing. A. Lazinica editor, IN-TECH, Mars 2010.

Technical Reports

Hachem Kadri, Philippe Preux, Emmanuel Duflos and Stéphane Canu. Operator-valued Kernels for Nonparametric Operator Estimation. INRIA Research Report RR-7607, April 2011.

Hachem Kadri, Emmanuel Duflos, Manuel Davy, Philippe Preux and Stéphane Canu. A General Framework for Nonlinear Functional Regression with Reproducing Kernel Hilbert Spaces. INRIA Research Report RR-6809, April 2009.

Ph.D. Thesis

Hachem Kadri. Robust Speaker Segmentation: Hybrid Approach and Support Vector Machines. PhD thesis, The National Engineering School of Tunis (ENIT), February 2008. (Ph.D. presentation available here).