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bibliography.bib
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@article{Chamroukhi-STMoE-2017,
author = {F. Chamroukhi},
journal = {Neurocomputing - Elsevier},
title = {Skew-t mixture of experts},
volume = {266},
pages = {390-408},
year = {2017},
month = {November},
url = {https://chamroukhi.com/papers/STMoE.pdf}
}
@inproceedings{Chamroukhi-SNMoE-IJCNN-2016,
author = {F. Chamroukhi},
booktitle = {{The International Joint Conference on Neural Networks (IJCNN)}},
address = {Vancouver, Canada},
title = {Skew-Normal Mixture of Experts},
pages={3000--3007},
year = {2016},
month = {July},
url = {https://chamroukhi.com/papers/Chamroukhi-SNMoE-IJCNN2016.pdf}
}
@phdthesis{Chamroukhi_PhD_2010,
author = {Chamroukhi, F.},
title = {Hidden process regression for curve modeling, classification and tracking},
school = {Universit\'e de Technologie de Compi\`egne},
month = {13 december},
year = {2010},
type = {Ph.D. Thesis},
url = {https://chamroukhi.com/FChamroukhi-PhD.pdf}
}
@phdthesis{Chamroukhi-HDR-2015,
author = {Chamroukhi, F.},
title = {Statistical learning of latent data models for complex data analysis},
school = {Universit\'e de Toulon},
month = {07 december},
year = {2015},
type = {{Habilitation Thesis (HDR)}},
url = {https://chamroukhi.com/FChamroukhi-HDR.pdf}
}
@article{chamroukhi_et_al_NN2009,
address = {Oxford, UK, UK},
author = {Chamroukhi, F. and Sam\'{e}, A. and Govaert, G. and Aknin, P.},
journal = {Neural Networks},
number = {5-6},
pages = {593--602},
publisher = {Elsevier Science Ltd.},
title = {Time series modeling by a regression approach based on a latent process},
volume = {22},
year = {2009},
url = {https://chamroukhi.com/papers/Chamroukhi_Neural_Networks_2009.pdf}
}
@article{Chamroukhi-TMoE-2016,
author = {F. Chamroukhi},
journal = {Neural Networks - Elsevier},
title = {Robust mixture of experts modeling using the t-distribution},
volume = {79},
pages = {20--36},
year = {2016},
url = {https://chamroukhi.com/papers/TMoE.pdf}
}
@article{Chamroukhi-NNMoE-2015,
author = {F. Chamroukhi},
eprint = {arXiv:1506.06707},
title = {Non-Normal Mixtures of Experts},
volume = {},
url = {http://arxiv.org/pdf/1506.06707.pdf},
month = {July},
year = {2015},
note = {Report (61 pages)}
}