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@phdthesis{becker2011identification,
  title={Identification and characterization of events in social media},
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},
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@article{BouguilaA09,
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  year      = {2009},
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@inproceedings{BouguilaZ05,
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               Djemel Ziou},
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  series    = {Lecture Notes in Computer Science},
  volume    = {3587},
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               Walid ElGuebaly},
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               and Signal Processing, {ICASSP} 2008, March 30 - April 4, 2008, Caesars
               Palace, Las Vegas, Nevada, {USA}},
  pages     = {821--824},
  publisher = {{IEEE}},
  year      = {2008},
}
@article{BakhtiariB14,
  author    = {Ali Shojaee Bakhtiari and
               Nizar Bouguila},
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  year      = {2014},
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@article{BouguilaG10,
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               Mukti Nath Ghimire},
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  volume    = {21},
  number    = {7},
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  year      = {2010},
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               Otmane A{\"{\i}}t Mohamed and
               Moonis Ali},
  title     = {Text Modeling Using Multinomial Scaled Dirichlet Distributions},
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               of Applied Intelligent Systems, {IEA/AIE} 2018, Montreal, QC, Canada,
               June 25-28, 2018, Proceedings},
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  volume    = {10868},
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  number    = {1},
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  year      = {2009},
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               Jamal Bentahar},
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               Peter P. Chen and
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  title     = {Trustworthy Web Service Selection Using Probabilistic Models},
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  number={325},
  pages={194--206},
  year={1969},
  publisher={Taylor \& Francis}
}
@article{rahman2020efficient,
  title={Efficient Feature Mapping in Classifying Proportional Data},
  author={Rahman, Md Hafizur and Bouguila, Nizar},
  journal={IEEE Access},
  volume={9},
  pages={3712--3724},
  year={2020},
  publisher={IEEE}
},
@article{bouguila2012infinite,
  title={Infinite Liouville mixture models with application to text and texture categorization},
  author={Bouguila, Nizar},
  journal={Pattern Recognition Letters},
  volume={33},
  number={2},
  pages={103--110},
  year={2012},
  publisher={Elsevier}
},
@inproceedings{fan2013learning,
  title={Learning finite beta-liouville mixture models via variational bayes for proportional data clustering},
  author={Fan, Wentao and Bouguila, Nizar},
  booktitle={Twenty-Third International Joint Conference on Artificial Intelligence},
  year={2013}
},
@inproceedings{bouguila2008discrete,
  title={On discrete data clustering},
  author={Bouguila, Nizar and ElGuebaly, Walid},
  booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining},
  pages={503--510},
  year={2008},
  organization={Springer}
},

@article{zamzami2019novel,
  title={A novel scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation},
  author={Zamzami, Nuha and Bouguila, Nizar},
  journal={Pattern Recognition},
  volume={95},
  pages={36--47},
  year={2019},
  publisher={Elsevier}
},
@article{ihou2019variational,
  title={Variational-based latent generalized Dirichlet allocation model in the collapsed space and applications},
  author={Ihou, Koffi Eddy and Bouguila, Nizar},
  journal={Neurocomputing},
  volume={332},
  pages={372--395},
  year={2019},
  publisher={Elsevier}
},
@article{fan2015expectation,
  title={Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering},
  author={Fan, Wentao and Bouguila, Nizar},
  journal={Engineering Applications of Artificial Intelligence},
  volume={43},
  pages={1--14},
  year={2015},
  publisher={Elsevier}
},
@inproceedings{bouguila2009nonparametric,
  title={A nonparametric bayesian learning model: Application to text and image categorization},
  author={Bouguila, Nizar and Ziou, Djemel},
  booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining},
  pages={463--474},
  year={2009},
  organization={Springer}
},
@inproceedings{bakhtiari2011expandable,
  title={An expandable hierarchical statistical framework for count data modeling and its application to object classification},
  author={Bakhtiari, Ali Shojaee and Bouguila, Nizar},
  booktitle={2011 IEEE 23rd International Conference on Tools with Artificial Intelligence},
  pages={817--824},
  year={2011},
  organization={IEEE}
},
@article{bouguila2010discrete,
  title={Discrete visual features modeling via leave-one-out likelihood estimation and applications},
  author={Bouguila, Nizar and Ghimire, Mukti Nath},
  journal={Journal of Visual Communication and Image Representation},
  volume={21},
  number={7},
  pages={613--626},
  year={2010},
  publisher={Elsevier}
},
@article{zamzami2019model,
  title={Model selection and application to high-dimensional count data clustering},
  author={Zamzami, Nuha and Bouguila, Nizar},
  journal={Applied Intelligence},
  volume={49},
  number={4},
  pages={1467--1488},
  year={2019},
  publisher={Springer}
},
@article{fan2013online,
  title={Online learning of a dirichlet process mixture of beta-liouville distributions via variational inference},
  author={Fan, Wentao and Bouguila, Nizar},
  journal={IEEE transactions on neural networks and learning systems},
  volume={24},
  number={11},
  pages={1850--1862},
  year={2013},
  publisher={IEEE}
}