Lists of my publications are also available at Google Scholar and HAL.
Top-Tier Journals
JMLR: 3, MLJ: 1, PR: 1
Top-Tier Conferences
ICML: 5, NeurIPS: 3, AISTATS: 4, UAI: 1, IJCAI: 1
2024
Hashimoto Yuka, Ikeda Masahiro, Kadri Hachem. Position: C*-algebraic machine learning--Moving in a new direction. International Conference on Machine Learning (ICML), Vienna, Austria, 2024.[ Acceptance rate: 26% ]
@inproceedings{yuka2024position,
title={Position: C*-algebraic machine learning--Moving in a new direction},
author={Yuka, Hashimoto and Masahiro, Ikeda and Hachem, Kadri},
booktitle={International Conference on Machine Learning (ICML)},
year={2024},
address={Vienna, Austria}
}
Hariz Kais, Kadri Hachem, Ayache Stéphane, Moakher Maher, Thierry Artières. Implicit regularization in deep Tucker factorization: low-rankness via structured sparsity. International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, 2024.[ Acceptance rate: 27% ]
@inproceedings{kais2024implicit,
title={Implicit regularization in deep Tucker factorization: low-rankness via structured sparsity},
author={Kais, Hariz and Hachem, Kadri and Stéphane, Ayache and Maher, Moakher and Thierry Artières},
booktitle={International Conference on Artificial Intelligence and Statistics (AISTATS)},
year={2024},
address={Valencia, Spain}
}
2023
Hashimoto Yuka, Ikeda Masahiro, Kadri Hachem. Deep learning with kernels through RKHM and the Perron-Frobenius operator. Advances in Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, 2023.[ Acceptance rate: 26% ]
@inproceedings{yuka2023deep,
title={Deep learning with kernels through RKHM and the Perron-Frobenius operator},
author={Yuka, Hashimoto and Masahiro, Ikeda and Hachem, Kadri},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2023},
address={New Orleans, Louisiana}
}
Hashimoto Yuka, Ikeda Masahiro, Kadri Hachem. Learning in RKHM: a
C*-algebraic twist for kernel machines. International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, 2023.[ Acceptance rate: 29% ]@inproceedings{yuka2023learning,
title={Learning in RKHM: a
C*-algebraic twist for kernel machines},
author={Yuka, Hashimoto and Masahiro, Ikeda and Hachem, Kadri},
booktitle={International Conference on Artificial Intelligence and Statistics (AISTATS)},
year={2023},
address={Valencia, Spain}
}
Roget Mathier, Kadri Hachem, Di Molfetta Giuseppe. Optimality conditions for spatial search with multiple marked vertices. Physical Review Research, 5(3), 2023.
@article{mathier2023optimality,
title={Optimality conditions for spatial search with multiple marked vertices},
author={Mathier, Roget and Hachem, Kadri and Giuseppe, Di Molfetta},
journal={Physical Review Research},
year={2023},
volume={5},
number={3}
}
2022
Roget Mathieu, Di Molfetta Giuseppe, Kadri Hachem. Quantum perceptron revisited: Computational-statistical tradeoffs. Uncertainty in Artificial Intelligence (UAI), Eidhoven, The Netherlands, 2022.[ Oral presentation, acceptance rate: 5% ]
@inproceedings{mathieu2022quantum,
title={Quantum perceptron revisited: Computational-statistical tradeoffs},
author={Mathieu, Roget and Giuseppe, Di Molfetta and Hachem, Kadri},
booktitle={Uncertainty in Artificial Intelligence (UAI)},
year={2022},
address={Eidhoven, The Netherlands}
}
Hariz Kais, Kadri Hachem, Ayache Stéphane, Moakher Maher, Artières Thierry. Implicit regularization with polynomial growth in deep tensor factorization. International Conference on Machine Learning (ICML), Baltimore, Maryland, 2022.[ Acceptance rate: 21% ]
@inproceedings{kais2022implicit,
title={Implicit regularization with polynomial growth in deep tensor factorization},
author={Kais, Hariz and Hachem, Kadri and Stéphane, Ayache and Maher, Moakher and Thierry, Artières},
booktitle={International Conference on Machine Learning (ICML)},
year={2022},
address={Baltimore, Maryland}
}
Benielli Dominique, Bauvin Baptiste, Koço Sokol, Huusari Riikka, Capponi Cécile, Kadri Hachem, Laviolette François. Toolbox for multimodal learn (scikit-multimodallearn). Journal of Machine Learning Research (JMLR), 23(51), 2022.
@article{dominique2022toolbox,
title={Toolbox for multimodal learn (scikit-multimodallearn)},
author={Dominique, Benielli and Baptiste, Bauvin and Sokol, Koço and Riikka, Huusari and Cécile, Capponi and Hachem, Kadri and François, Laviolette},
journal={Journal of Machine Learning Research (JMLR)},
year={2022},
volume={23},
number={51}
}
Huusari Riikka, Capponi Cécile, Paul Villoutreix, Kadri Hachem. Cross-View kernel transfer. Pattern Recognition, 129, 2022.
@article{riikka2022cross,
title={Cross-View kernel transfer},
author={Riikka, Huusari and Cécile, Capponi and Paul Villoutreix and Hachem, Kadri},
journal={Pattern Recognition},
year={2022},
volume={129}
}
Cherfaoui Farah, Kadri Hachem, Ralaivola Liva. Scalable ridge leverage score sampling for the Nyström method. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2022.
@inproceedings{farah2022scalable,
title={Scalable ridge leverage score sampling for the Nyström method},
author={Farah, Cherfaoui and Hachem, Kadri and Liva, Ralaivola},
booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
year={2022},
address={Singapore}
}
Cherfaoui Farah, Kadri Hachem, Anthoine S., Ralaivola Liva. MMD et Nyström : un point de vue des RKHSs discrets. Conférence Francophone sur l’Apprentissage Automatique (CAp), Vannes, France, 2022.
@inproceedings{farah2022mmd,
title={MMD et Nyström : un point de vue des RKHSs discrets},
author={Farah, Cherfaoui and Hachem, Kadri and S., Anthoine and Liva, Ralaivola},
booktitle={Conférence Francophone sur l’Apprentissage Automatique (CAp)},
year={2022},
address={Vannes, France}
}
Roget Mathieu, Di Molfetta Giuseppe, Kadri Hachem. Perceptrons quantiques : compromis entre précision statistique et temps de calcul. Conférence Francophone sur l’Apprentissage Automatique (CAp), Vannes, France, 2022.
@inproceedings{mathieu2022perceptrons,
title={Perceptrons quantiques : compromis entre précision statistique et temps de calcul},
author={Mathieu, Roget and Giuseppe, Di Molfetta and Hachem, Kadri},
booktitle={Conférence Francophone sur l’Apprentissage Automatique (CAp)},
year={2022},
address={Vannes, France}
}
Hariz Kais, Kadri Hachem, Ayache Stéphane, Moakher Maher, Artières Thierry. Régularisation implicite et apprentissage profond de tenseurs de faible rang. Conférence Francophone sur l’Apprentissage Automatique (CAp), Vannes, France, 2022.
@inproceedings{kais2022régularisation,
title={Régularisation implicite et apprentissage profond de tenseurs de faible rang},
author={Kais, Hariz and Hachem, Kadri and Stéphane, Ayache and Maher, Moakher and Thierry, Artières},
booktitle={Conférence Francophone sur l’Apprentissage Automatique (CAp)},
year={2022},
address={Vannes, France}
}
2021
Huusari Riikka, Kadri Hachem. Entangled kernels - beyond separability. Journal of Machine Learning Research (JMLR), 22(24): 1-40, 2021.
@article{riikka2021entangled,
title={Entangled kernels - beyond separability},
author={Riikka, Huusari and Hachem, Kadri},
journal={Journal of Machine Learning Research (JMLR)},
year={2021},
volume={22},
number={24},
pages={1--40}
}
Giffon Luc, Emiya Valentin, Kadri Hachem, Ralaivola Liva. QuicK-means: Accelerating inference for K-means by learning fast transforms. Machine Learning Journal (MLJ), 110(24): 881-905, 2021.
@article{luc2021quick,
title={QuicK-means: Accelerating inference for K-means by learning fast transforms},
author={Luc, Giffon and Valentin, Emiya and Hachem, Kadri and Liva, Ralaivola},
journal={Machine Learning Journal (MLJ)},
year={2021},
volume={110},
number={24},
pages={881--905}
}
Giffon Luc, Stéphane Ayache, Kadri Hachem, Artières Thierry, Sicre Ronan. PSM-nets: Compressing neural networks with product of sparse matrices. International Joint Conference on Neural Networks (IJCNN), Online, 2021.
@inproceedings{luc2021psm,
title={PSM-nets: Compressing neural networks with product of sparse matrices},
author={Luc, Giffon and Stéphane Ayache and Hachem, Kadri and Thierry, Artières and Ronan, Sicre},
booktitle={International Joint Conference on Neural Networks (IJCNN)},
year={2021},
address={Online}
}
Milanesi Paolo, Kadri Hachem, Ayache Stéphane, Artières Thierry. Implicit regularization in deep tensor factorization. International Joint Conference on Neural Networks (IJCNN), Online, 2021.
@inproceedings{paolo2021implicit,
title={Implicit regularization in deep tensor factorization},
author={Paolo, Milanesi and Hachem, Kadri and Stéphane, Ayache and Thierry, Artières},
booktitle={International Joint Conference on Neural Networks (IJCNN)},
year={2021},
address={Online}
}
2020
Kadri Hachem, Ayache Stéphane, Huusari Riikka, Rakotomamonjy Alain, Ralaivola Liva. Partial trace regression and low-rank Kraus decomposition. International Conference on Machine Learning (ICML), Online, 2020.[ Acceptance rate: 21% ]
@inproceedings{hachem2020partial,
title={Partial trace regression and low-rank Kraus decomposition},
author={Hachem, Kadri and Stéphane, Ayache and Riikka, Huusari and Alain, Rakotomamonjy and Liva, Ralaivola},
booktitle={International Conference on Machine Learning (ICML)},
year={2020},
address={Online}
}
Casalé Balthazar, Di Molfetta Giuseppe, Kadri Hachem, Ralaivola Liva. Quantum bandits. Quantum Machine Intelligence (QMI), 2(11), 2020.
@article{balthazar2020quantum,
title={Quantum bandits},
author={Balthazar, Casalé and Giuseppe, Di Molfetta and Hachem, Kadri and Liva, Ralaivola},
journal={Quantum Machine Intelligence (QMI)},
year={2020},
volume={2},
number={11}
}
Sellami Akrem, Dupé François-Xavier, Cagna Bastien, Kadri Hachem, Ayache Stéphane, Artières Thierry, Takerkart Sylvain. Mapping individual differences in cortical architecture using multi-view representation learning. International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020.
@inproceedings{akrem2020mapping,
title={Mapping individual differences in cortical architecture using multi-view representation learning},
author={Akrem, Sellami and François-Xavier, Dupé and Bastien, Cagna and Hachem, Kadri and Stéphane, Ayache and Thierry, Artières and Sylvain, Takerkart},
booktitle={International Joint Conference on Neural Networks (IJCNN)},
year={2020},
address={Glasgow, UK}
}
2019
Huusari Riikka, Kadri Hachem. Entangled kernels. International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 2019.[ Acceptance rate: 19% ]
@inproceedings{riikka2019entangled,
title={Entangled kernels},
author={Riikka, Huusari and Hachem, Kadri},
booktitle={International Joint Conference on Artificial Intelligence (IJCAI)},
year={2019},
address={Macao, China}
}
Huusari Riikka, Kadri Hachem, Capponi Cécile. General framework for multi-view metric learning. In Linking and Mining Heterogeneous and Multi-view Data, Chapter 11, 2019.
@article{riikka2019general,
title={General framework for multi-view metric learning},
author={Riikka, Huusari and Hachem, Kadri and Cécile, Capponi},
journal={In Linking and Mining Heterogeneous and Multi-view Data, Chapter 11},
year={2019},
publisher={Springer}
}
Giffon Luc, Ayache Stéphane, Artières Thierry, Kadri Hachem. Deep networks with adpative Nyström approximation. International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019.
@inproceedings{luc2019deep,
title={Deep networks with adpative Nyström approximation},
author={Luc, Giffon and Stéphane, Ayache and Thierry, Artières and Hachem, Kadri},
booktitle={International Joint Conference on Neural Networks (IJCNN)},
year={2019},
address={Budapest, Hungary}
}
Huusari Riikka, Capponi Cécile, Paul Villoutreix, Kadri Hachem. Cross-View kernel transfer. ECML/PKDD workshop on Data and Machine Learning Advances with Multiple Views (DAMVL)[, Würzburg, Germany], 2019.
@inproceedings{riikka2019cross,
title={Cross-View kernel transfer},
author={Riikka, Huusari and Cécile, Capponi and Paul Villoutreix and Hachem, Kadri},
booktitle={ECML/PKDD workshop on Data and Machine Learning Advances with Multiple Views (DAMVL)},
year={2019},
address={Würzburg, Germany}
}
Huusari Riikka, Capponi Cécile, Villoutreix Paul, Kadri Hachem. Apprentissage multi-vues pour la complétion transmodale de matrices noyaux. Conférence Francophone sur l’Apprentissage Automatique (CAp), Toulouse, France, 2019.
@inproceedings{riikka2019apprentissage,
title={Apprentissage multi-vues pour la complétion transmodale de matrices noyaux},
author={Riikka, Huusari and Cécile, Capponi and Paul, Villoutreix and Hachem, Kadri},
booktitle={Conférence Francophone sur l’Apprentissage Automatique (CAp)},
year={2019},
address={Toulouse, France}
}
2018
Huusari Riikka, Kadri Hachem, Capponi Cécile. Multi-view metric Learning in vector-valued kernel spaces. International Conference on Artificial Intelligence and Statistics (AISTATS), Canary Islands, Spain, 2018.[ Acceptance rate: 33% ]
@inproceedings{riikka2018multi,
title={Multi-view metric Learning in vector-valued kernel spaces},
author={Riikka, Huusari and Hachem, Kadri and Cécile, Capponi},
booktitle={International Conference on Artificial Intelligence and Statistics (AISTATS)},
year={2018},
address={Canary Islands, Spain}
}
Huusari Riikka, Kadri Hachem. Intrication et noyaux à valeurs opérateurs. Conférence Francophone sur l’Apprentissage Automatique (CAp), Rouen, France, 2018.
@inproceedings{riikka2018intrication,
title={Intrication et noyaux à valeurs opérateurs},
author={Riikka, Huusari and Hachem, Kadri},
booktitle={Conférence Francophone sur l’Apprentissage Automatique (CAp)},
year={2018},
address={Rouen, France}
}
Giffon Luc, Ayache Stéphane, Kadri Hachem, Artières Thierry. Emulsion de noyaux et d'apprentissage profond. Conférence Francophone sur l’Apprentissage Automatique (CAp), Rouen, France, 2018.
@inproceedings{luc2018emulsion,
title={Emulsion de noyaux et d'apprentissage profond},
author={Luc, Giffon and Stéphane, Ayache and Hachem, Kadri and Thierry, Artières},
booktitle={Conférence Francophone sur l’Apprentissage Automatique (CAp)},
year={2018},
address={Rouen, France}
}
Huusari Riikka, Kadri Hachem, Cécile Capponi. Support vector machine framework for multi-view metric learning. Journées de Statistiques (JdS), Paris, France, 2018.
@inproceedings{riikka2018support,
title={Support vector machine framework for multi-view metric learning},
author={Riikka, Huusari and Hachem, Kadri and Cécile Capponi},
booktitle={Journées de Statistiques (JdS)},
year={2018},
address={Paris, France}
}
2017
Audiffren Julien, Kadri Hachem. M-power regularized least squares regression. International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2017.
@inproceedings{julien2017m,
title={M-power regularized least squares regression},
author={Julien, Audiffren and Hachem, Kadri},
booktitle={International Joint Conference on Neural Networks (IJCNN)},
year={2017},
address={Budapest, Hungary}
}
Huusari Riikka, Capponi Cécile, Kadri Hachem. Noyaux à valeurs opérateurs et apprentissage de métriques multi-vues. Conférence Francophone sur l’Apprentissage Automatique (CAp), Grenoble, France, 2017.
@inproceedings{riikka2017noyaux,
title={Noyaux à valeurs opérateurs et apprentissage de métriques multi-vues},
author={Riikka, Huusari and Cécile, Capponi and Hachem, Kadri},
booktitle={Conférence Francophone sur l’Apprentissage Automatique (CAp)},
year={2017},
address={Grenoble, France}
}
2016
Rabusseau Guillaume, Kadri Hachem. Low-rank regerssion with tensor responses. Neural Information Processing Systems (NeurIPS), Barcelona, Spain, 2016.[ Acceptance rate: 23% ]
@inproceedings{guillaume2016low,
title={Low-rank regerssion with tensor responses},
author={Guillaume, Rabusseau and Hachem, Kadri},
booktitle={Neural Information Processing Systems (NeurIPS)},
year={2016},
address={Barcelona, Spain}
}
Kadri Hachem, Duflos Emmanuel, Preux Philippe, Canu Stéphane, Rakotomamonjy Alain, Audiffren Julien. Operator-valued kernels for learning from functional response data. Journal of Machine Learning Research (JMLR), 17(20): 1-54, 2016.
@article{hachem2016operator,
title={Operator-valued kernels for learning from functional response data},
author={Hachem, Kadri and Emmanuel, Duflos and Philippe, Preux and Stéphane, Canu and Alain, Rakotomamonjy and Julien, Audiffren},
journal={Journal of Machine Learning Research (JMLR)},
year={2016},
volume={17},
number={20},
pages={1--54}
}
2015
Audiffren Julien, Kadri Hachem. Online learning with operator-valued kernels. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, 2015.
@inproceedings{julien2015online,
title={Online learning with operator-valued kernels},
author={Julien, Audiffren and Hachem, Kadri},
booktitle={European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
year={2015},
address={Bruges, Belgium}
}
Amblard Pierre Olivier, Kadri Hachem. Operator-valued kernel recursive least squares algorithm. European Signal Processing Conference (EUSIPCO), Nice, France, 2015.
@inproceedings{pierre olivier2015operator,
title={Operator-valued kernel recursive least squares algorithm},
author={Pierre Olivier, Amblard and Hachem, Kadri},
booktitle={European Signal Processing Conference (EUSIPCO)},
year={2015},
address={Nice, France}
}
Rabusseau Guillaume, Kadri Hachem, Denis François. Régression de faible rang non-paramétrique pour réponses tensorielles. Colloque GRETSI, Lyon, France, 2015.
@inproceedings{guillaume2015régression,
title={Régression de faible rang non-paramétrique pour réponses tensorielles},
author={Guillaume, Rabusseau and Hachem, Kadri and François, Denis},
booktitle={Colloque GRETSI},
year={2015},
address={Lyon, France}
}
Amblard Pierre Olivier, Kadri Hachem. Algorithme LMS pour la régression à noyau multivariée parcimonieuse. Colloque Gretsi, Lyon, France, 2015.
@inproceedings{pierre olivier2015algorithme,
title={Algorithme LMS pour la régression à noyau multivariée parcimonieuse},
author={Pierre Olivier, Amblard and Hachem, Kadri},
booktitle={Colloque Gretsi},
year={2015},
address={Lyon, France}
}
2013
Kadri Hachem, Ghavamzadeh Mohamed, Preux Phillipe. A generalized kernel approach to structured output learning. International Conference on Machine Learning (ICML), Atlanta, Georgia, 2013.[ Acceptance rate: 23% ]
@inproceedings{hachem2013generalized,
title={A generalized kernel approach to structured output learning},
author={Hachem, Kadri and Mohamed, Ghavamzadeh and Phillipe, Preux},
booktitle={International Conference on Machine Learning (ICML)},
year={2013},
address={Atlanta, Georgia}
}
Kadri Hachem, Ayache Stéphane, Capponi Cécile, Koço Sokol, Dupé François-Xavier, Morvant Emilie. The multi-task learning view of multimodal data. Asian Conference on Machine Learning (ACML), Canberra, Australia, 2013.
@inproceedings{hachem2013multi,
title={The multi-task learning view of multimodal data},
author={Hachem, Kadri and Stéphane, Ayache and Cécile, Capponi and Sokol, Koço and François-Xavier, Dupé and Emilie, Morvant},
booktitle={Asian Conference on Machine Learning (ACML)},
year={2013},
address={Canberra, Australia}
}
Audiffren Julien, Kadri Hachem. Stability of multi-task kernel regression algorithms. Asian Conference on Machine Learning (ACML), Canberra, Australia, 2013.
@inproceedings{julien2013stability,
title={Stability of multi-task kernel regression algorithms},
author={Julien, Audiffren and Hachem, Kadri},
booktitle={Asian Conference on Machine Learning (ACML)},
year={2013},
address={Canberra, Australia}
}
Audiffren Julien, Kadri Hachem. Online output structure learning with operator-valued kernels. NeurIPS Workshop on Output Representation Learning (ORL), Lake Tahoe, 2013.
@inproceedings{julien2013online,
title={Online output structure learning with operator-valued kernels},
author={Julien, Audiffren and Hachem, Kadri},
booktitle={NeurIPS Workshop on Output Representation Learning (ORL)},
year={2013},
address={Lake Tahoe}
}
Audiffren Julien, Kadri Hachem. 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, France, 2013.
@inproceedings{julien2013stabilité,
title={Stabilité uniforme de la régression non linéaire par moindres carrés régularisés avec des noyaux à valeurs opérateurs},
author={Julien, Audiffren and Hachem, Kadri},
booktitle={Conférence Francophone sur l'Apprentissage Automatique (CAp)},
year={2013},
address={Lille, France}
}
Rabaoui Asma, Kadri Hachem, Davy Manuel. Processus de Dirichlet à mélanges pour la classification non-supervisée de données fonctionnelles multivariées. Colloque Gretsi, Brest, France, 2013.
@inproceedings{asma2013processus,
title={Processus de Dirichlet à mélanges pour la classification non-supervisée de données fonctionnelles multivariées},
author={Asma, Rabaoui and Hachem, Kadri and Manuel, Davy},
booktitle={Colloque Gretsi},
year={2013},
address={Brest, France}
}
2012
Kadri Hachem, Rakotomamonjy Alain, Bach Francis, Preux Philippe. Multiple operator-valued kernel learning. Neural Information Processing Systems (NeurIPS), Lake Tahoe, 2012.[ Acceptance rate: 25% ]
@inproceedings{hachem2012multiple,
title={Multiple operator-valued kernel learning},
author={Hachem, Kadri and Alain, Rakotomamonjy and Francis, Bach and Philippe, Preux},
booktitle={Neural Information Processing Systems (NeurIPS)},
year={2012},
address={Lake Tahoe}
}
Rabaoui Asma, Kadri Hachem, Davy Manuel. Nonparametric Bayesian supervised classification of functional data. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 2012.
@inproceedings{asma2012nonparametric,
title={Nonparametric Bayesian supervised classification of functional data},
author={Asma, Rabaoui and Hachem, Kadri and Manuel, Davy},
booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
year={2012},
address={Kyoto, Japan}
}
2011
Kadri Hachem, Rabaoui Asma, Duflos Emmanuel, Preux Philippe, Rakotomamonjy Alain. Functional regularized least squares classification with opertaor-valued kernels. International Conference on Machine Learning (ICML), Bellevue, WA, 2011.[ Acceptance rate: 26% ]
@inproceedings{hachem2011functional,
title={Functional regularized least squares classification with opertaor-valued kernels},
author={Hachem, Kadri and Asma, Rabaoui and Emmanuel, Duflos and Philippe, Preux and Alain, Rakotomamonjy},
booktitle={International Conference on Machine Learning (ICML)},
year={2011},
address={Bellevue, WA}
}
Kadri Hachem, Duflos Emmanuel, Preux Philippe. Learning vocal tract variables with multi-task kernels. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, 2011.
@inproceedings{hachem2011learning,
title={Learning vocal tract variables with multi-task kernels},
author={Hachem, Kadri and Emmanuel, Duflos and Philippe, Preux},
booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
year={2011},
address={Prague, Czech Republic}
}
Kadri Hachem, Preux Philippe, Duflos Emmanuel, Canu Stéphane. Multiple functional regression with both discrete and continuous covariates. IEEE International Workshop on Functional and Operatorial Statistics (IWFOS), Santander, Spain, 2011.
@inproceedings{hachem2011multiple,
title={Multiple functional regression with both discrete and continuous covariates},
author={Hachem, Kadri and Philippe, Preux and Emmanuel, Duflos and Stéphane, Canu},
booktitle={IEEE International Workshop on Functional and Operatorial Statistics (IWFOS)},
year={2011},
address={Santander, Spain}
}
Rabaoui Asma, Kadri Hachem, Davy Manuel. Bayesian nonparametric methods are naturally well suited to functional data analysis. NeurIPS workshop on Bayesian Nonparametrics: Hope or Hype? (NPB), Sierra Nevada, Spain, 2011.
@inproceedings{asma2011bayesian,
title={Bayesian nonparametric methods are naturally well suited to functional data analysis},
author={Asma, Rabaoui and Hachem, Kadri and Manuel, Davy},
booktitle={NeurIPS workshop on Bayesian Nonparametrics: Hope or Hype? (NPB)},
year={2011},
address={Sierra Nevada, Spain}
}
Kadri Hachem, Preux Philippe, Duflos Emmanuel. Functional kernel ridge regression with functional responses. Journées de statistiques (JDS), Tunis, Tunisie, 2011.
@inproceedings{hachem2011functional,
title={Functional kernel ridge regression with functional responses},
author={Hachem, Kadri and Philippe, Preux and Emmanuel, Duflos},
booktitle={Journées de statistiques (JDS)},
year={2011},
address={Tunis, Tunisie}
}
2010
Kadri Hachem, Duflos Emmanuel, Preux Philippe, Canu Stéphane, Davy Manuel. Nonlinear functional regression: a functional RKHS approach. International Conference on Artificial Intelligence and Statistics (AISTATS), Sardinia, Italy, 2010.[ Oral presentation, acceptance rate: 8% ]
@inproceedings{hachem2010nonlinear,
title={Nonlinear functional regression: a functional RKHS approach},
author={Hachem, Kadri and Emmanuel, Duflos and Philippe, Preux and Stéphane, Canu and Manuel, Davy},
booktitle={International Conference on Artificial Intelligence and Statistics (AISTATS)},
year={2010},
address={Sardinia, Italy}
}
Kadri Hachem. Function-valued RKHS and applications. NeurIPS Workshop on Tensors, Kernels, and Machine Learning (TKML), Vancouver, Canada, 2010.
@inproceedings{hachem2010function,
title={Function-valued RKHS and applications},
author={Hachem, Kadri},
booktitle={NeurIPS Workshop on Tensors, Kernels, and Machine Learning (TKML)},
year={2010},
address={Vancouver, Canada}
}
Kadri Hachem. Robust Unsupervised Speaker Segmentation for Audio Diarization. S. Miron, Ed., Signal Processing. InTech, 2010.
@article{hachem2010robust,
title={Robust Unsupervised Speaker Segmentation for Audio Diarization},
author={Hachem, Kadri},
journal={S. Miron, Ed., Signal Processing. InTech},
year={2010}
}
2008
Rabaoui Asma, Kadri Hachem, Lachiri Zied, Ellouze Noureddine. One-Class SVMs Challenges in Audio Detection and Classification Applications. EURASIP Journal on Advances in Signal Processing, 2008.
@article{asma2008one,
title={One-Class SVMs Challenges in Audio Detection and Classification Applications},
author={Asma, Rabaoui and Hachem, Kadri and Zied, Lachiri and Noureddine, Ellouze},
journal={EURASIP Journal on Advances in Signal Processing},
year={2008}
}
Rabaoui Asma, Kadri Hachem, Ellouze Noureddine. New approaches based on one-class SVMS for impulsive sounds recognition tasks. International Workshop on Machine Learning for Signal Processing (MLSP), Cancun, Mexico, 2008.
@inproceedings{asma2008new,
title={New approaches based on one-class SVMS for impulsive sounds recognition tasks},
author={Asma, Rabaoui and Hachem, Kadri and Noureddine, Ellouze},
booktitle={International Workshop on Machine Learning for Signal Processing (MLSP)},
year={2008},
address={Cancun, Mexico}
}
Kadri Hachem, Davy Manuel, Rabaoui Asma, Lachiri Zied, Ellouze Noureddine. Robust audio speaker segmentation using one class SVMS. European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, 2008.
@inproceedings{hachem2008robust,
title={Robust audio speaker segmentation using one class SVMS},
author={Hachem, Kadri and Manuel, Davy and Asma, Rabaoui and Zied, Lachiri and Noureddine, Ellouze},
booktitle={European Signal Processing Conference (EUSIPCO)},
year={2008},
address={Lausanne, Switzerland}
}
Rabaoui Asma, Kadri Hachem, Lachiri Zied, Ellouze Noureddine. Using robust features with multi-class SVMs to classify noisy sounds. IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (ISCCSP), St. Julians, Malta, 2008.
@inproceedings{asma2008using,
title={Using robust features with multi-class SVMs to classify noisy sounds},
author={Asma, Rabaoui and Hachem, Kadri and Zied, Lachiri and Noureddine, Ellouze},
booktitle={IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (ISCCSP)},
year={2008},
address={St. Julians, Malta}
}
2007
Kadri Hachem, Lachiri Zied, Ellouze Noureddine. Speaker segmentation enhancement for meetings. IEEE Fourth International Multi-Conference on Systems, Signals & Devices (SSD), Hammamet, Tunisia, 2007.
@inproceedings{hachem2007speaker,
title={Speaker segmentation enhancement for meetings},
author={Hachem, Kadri and Zied, Lachiri and Noureddine, Ellouze},
booktitle={IEEE Fourth International Multi-Conference on Systems, Signals \& Devices (SSD)},
year={2007},
address={Hammamet, Tunisia}
}
2006
Kadri Hachem, Lachiri Zied, Ellouze Noureddine. Hybrid approach for unsupervised audio speaker segmentation. European Signal Processing Conference (EUSIPCO), Florence, Italy, 2006.
@inproceedings{hachem2006hybrid,
title={Hybrid approach for unsupervised audio speaker segmentation},
author={Hachem, Kadri and Zied, Lachiri and Noureddine, Ellouze},
booktitle={European Signal Processing Conference (EUSIPCO)},
year={2006},
address={Florence, Italy}
}
Kadri Hachem, Lachiri Zied, Ellouze Noureddine. Robustness improvement of speaker segmentation techniques based on the Bayesian information criterion. IEEE International Conference on Information et Communication Technologies: From Theory To Applications (ICTTA), Damascus, Syria, 2006.
@inproceedings{hachem2006robustness,
title={Robustness improvement of speaker segmentation techniques based on the Bayesian information criterion},
author={Hachem, Kadri and Zied, Lachiri and Noureddine, Ellouze},
booktitle={IEEE International Conference on Information et Communication Technologies: From Theory To Applications (ICTTA)},
year={2006},
address={ Damascus, Syria}
}
Kadri Hachem, Lachiri Zied, Ellouze Noureddine. Speaker change detection method evaluated on arabic speech corpus. IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (ISCCSP), Marrakech, Morocco, 2006.
@inproceedings{hachem2006speaker,
title={Speaker change detection method evaluated on arabic speech corpus},
author={Hachem, Kadri and Zied, Lachiri and Noureddine, Ellouze},
booktitle={IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (ISCCSP)},
year={2006},
address={Marrakech, Morocco}
}