References:

@article{blei2003latent,
title={Latent dirichlet allocation},
author={Blei, David M and Ng, Andrew Y and Jordan, Michael I},
journal={Journal of machine Learning research},
volume={3},
number={Jan},
pages={993--1022},
year={2003}
},
@article{hu2009latent,
title={Latent dirichlet allocation for text, images, and music},
author={Hu, Diane J},
journal={University of California, San Diego. Retrieved April},
volume={26},
pages={2013},
year={2009}
},
@incollection{aggarwal2012survey,
title={A survey of text clustering algorithms},
author={Aggarwal, Charu C and Zhai, ChengXiang},
booktitle={Mining text data},
pages={77--128},
year={2012},
publisher={Springer}
},


@article{DBLP:journals/eswa/BouguilaE12,
author = {Nizar Bouguila and
Tarek Elguebaly},
title = {A fully Bayesian model based on reversible jump {MCMC} and finite
Beta mixtures for clustering},
journal = {Expert Syst. Appl.},
volume = {39},
number = {5},
pages = {5946--5959},
year = {2012},
url = {https://doi.org/10.1016/j.eswa.2011.11.122},
doi = {10.1016/j.eswa.2011.11.122},
timestamp = {Fri, 26 May 2017 22:54:10 +0200},
biburl = {https://dblp.org/rec/journals/eswa/BouguilaE12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}



@article{frunza2010machine,
title={A machine learning approach for identifying disease-treatment relations in short texts},
author={Frunza, Oana and Inkpen, Diana and Tran, Thomas},
journal={IEEE transactions on knowledge and data engineering},
volume={23},
number={6},
pages={801--814},
year={2010},
publisher={IEEE}
},
@article{alsmadi2019term,
title={Term weighting scheme for short-text classification: Twitter corpuses},
author={Alsmadi, Issa and Hoon, Gan Keng},
journal={Neural Computing and Applications},
volume={31},
number={8},
pages={3819--3831},
year={2019},
publisher={Springer}
}
@article{zeng2018topic,
title={Topic memory networks for short text classification},
author={Zeng, Jichuan and Li, Jing and Song, Yan and Gao, Cuiyun and Lyu, Michael R and King, Irwin},
journal={arXiv preprint arXiv:1809.03664},
year={2018}
},
@inproceedings{jin2011transferring,
title={Transferring topical knowledge from auxiliary long texts for short text clustering},
author={Jin, Ou and Liu, Nathan N and Zhao, Kai and Yu, Yong and Yang, Qiang},
booktitle={Proceedings of the 20th ACM international conference on Information and knowledge management},
pages={775--784},
year={2011}
},
@inproceedings{dos2014deep,
title={Deep convolutional neural networks for sentiment analysis of short texts},
author={Dos Santos, Cicero and Gatti, Maira},
booktitle={Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers},
pages={69--78},
year={2014}
},
@article{lee2016sequential,
title={Sequential short-text classification with recurrent and convolutional neural networks},
author={Lee, Ji Young and Dernoncourt, Franck},
journal={arXiv preprint arXiv:1603.03827},
year={2016}
},
@inproceedings{yin2014dirichlet,
title={A dirichlet multinomial mixture model-based approach for short text clustering},
author={Yin, Jianhua and Wang, Jianyong},
booktitle={Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining},
pages={233--242},
year={2014}
},

@article{karandikar2006markov,
title={On the markov chain monte carlo (MCMC) method},
author={Karandikar, Rajeeva L},
journal={Sadhana},
volume={31},
number={2},
pages={81--104},
year={2006},
publisher={Springer}
},
@article{DBLP:journals/prl/Bouguila12,
author = {Nizar Bouguila},
title = {Infinite Liouville mixture models with application to text and texture
categorization},
journal = {Pattern Recognit. Lett.},
volume = {33},
number = {2},
pages = {103--110},
year = {2012},
url = {https://doi.org/10.1016/j.patrec.2011.09.037},
doi = {10.1016/j.patrec.2011.09.037},
timestamp = {Sat, 22 Feb 2020 19:31:49 +0100},
biburl = {https://dblp.org/rec/journals/prl/Bouguila12.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
},
@inproceedings{DBLP:conf/annpr/ElguebalyB10,
author = {Tarek Elguebaly and
Nizar Bouguila},
editor = {Friedhelm Schwenker and
Neamat El Gayar},
title = {Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical
Images},
booktitle = {Artificial Neural Networks in Pattern Recognition, 4th {IAPR} {TC3}
Workshop, {ANNPR} 2010, Cairo, Egypt, April 11-13, 2010. Proceedings},
series = {Lecture Notes in Computer Science},
volume = {5998},
pages = {207--218},
publisher = {Springer},
year = {2010},
url = {https://doi.org/10.1007/978-3-642-12159-3\_19},
doi = {10.1007/978-3-642-12159-3\_19},
timestamp = {Tue, 14 May 2019 10:00:39 +0200},
biburl = {https://dblp.org/rec/conf/annpr/ElguebalyB10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{yildirim2012bayesian,
title={Bayesian inference: Gibbs sampling},
author={Yildirim, Ilker},
journal={Technical Note, University of Rochester},
year={2012}
},


@article{DBLP:journals/tnn/FanB13,
author = {Wentao Fan and
Nizar Bouguila},
title = {Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions
Via Variational Inference},
journal = {{IEEE} Trans. Neural Networks Learn. Syst.},
volume = {24},
number = {11},
pages = {1850--1862},
year = {2013},
url = {https://doi.org/10.1109/TNNLS.2013.2268461},
doi = {10.1109/TNNLS.2013.2268461},
timestamp = {Mon, 09 Mar 2020 15:51:17 +0100},
biburl = {https://dblp.org/rec/journals/tnn/FanB13.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
},
@article{bouguila2008clustering,
title={Clustering of count data using generalized Dirichlet multinomial distributions},
author={Bouguila, Nizar},
journal={IEEE Transactions on Knowledge and Data Engineering},
volume={20},
number={4},
pages={462--474},
year={2008},
publisher={IEEE}
},
@techreport{heinrich2005parameter,
title={Parameter estimation for text analysis},
author={Heinrich, Gregor},
year={2005},
institution={Technical report}
},
@inproceedings{banerjee2007clustering,
title={Clustering short texts using wikipedia},
author={Banerjee, Somnath and Ramanathan, Krishnan and Gupta, Ajay},
booktitle={Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval},
pages={787--788},
year={2007}
},
@book{han2011data,
title={Data mining: concepts and techniques},
author={Han, Jiawei and Pei, Jian and Kamber, Micheline},
year={2011},
publisher={Elsevier}
},
@phdthesis{becker2011identification,
title={Identification and characterization of events in social media},
author={Becker, Hila},
year={2011},
school={Columbia University}
},
@inproceedings{zhang2010arimp,
title={ARImp: A generalized adjusted rand index for cluster ensembles},
author={Zhang, Shaohong and Wong, Hau-San},
booktitle={2010 20th International Conference on Pattern Recognition},
pages={778--781},
year={2010},
organization={IEEE}
}
@article{Bouguila09,
author = {Nizar Bouguila},
title = {A Model-Based Approach for Discrete Data Clustering and Feature Weighting
Using {MAP} and Stochastic Complexity},
journal = {{IEEE} Trans. Knowl. Data Eng.},
volume = {21},
number = {12},
pages = {1649--1664},
year = {2009},
}
@article{BouguilaA09,
author = {Nizar Bouguila and
Ola Amayri},
title = {A discrete mixture-based kernel for SVMs: Application to spam and
image categorization},
journal = {Inf. Process. Manag.},
volume = {45},
number = {6},
pages = {631--642},
year = {2009},
}
@inproceedings{BouguilaZ05,
author = {Nizar Bouguila and
Djemel Ziou},
editor = {Petra Perner and
Atsushi Imiya},
title = {MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection},
booktitle = {Machine Learning and Data Mining in Pattern Recognition, 4th International
Conference, {MLDM} 2005, Leipzig, Germany, July 9-11, 2005, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {3587},
pages = {42--51},
publisher = {Springer},
year = {2005},
}
@inproceedings{BouguilaE08,
author = {Nizar Bouguila and
Walid ElGuebaly},
title = {A generative model for spatial color image databases categorization},
booktitle = {Proceedings of the {IEEE} International Conference on Acoustics, Speech,
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},
title = {A variational Bayes model for count data learning and classification},
journal = {Eng. Appl. Artif. Intell.},
volume = {35},
pages = {176--186},
year = {2014},
}
@article{BouguilaG10,
author = {Nizar Bouguila and
Mukti Nath Ghimire},
title = {Discrete visual features modeling via leave-one-out likelihood estimation
and applications},
journal = {J. Vis. Commun. Image Represent.},
volume = {21},
number = {7},
pages = {613--626},
year = {2010},
}
@inproceedings{ZamzamiB18,
author = {Nuha Zamzami and
Nizar Bouguila},
editor = {Malek Mouhoub and
Samira Sadaoui and
Otmane A{\"{\i}}t Mohamed and
Moonis Ali},
title = {Text Modeling Using Multinomial Scaled Dirichlet Distributions},
booktitle = {Recent Trends and Future Technology in Applied Intelligence - 31st
International Conference on Industrial Engineering and Other Applications
of Applied Intelligent Systems, {IEA/AIE} 2018, Montreal, QC, Canada,
June 25-28, 2018, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {10868},
pages = {69--80},
publisher = {Springer},
year = {2018},
}
@article{BouguilaE09,
author = {Nizar Bouguila and
Walid ElGuebaly},
title = {Discrete data clustering using finite mixture models},
journal = {Pattern Recognit.},
volume = {42},
number = {1},
pages = {33--42},
year = {2009},
}
@inproceedings{KeikhaBB12,
author = {Mohamad Mehdi and
Nizar Bouguila and
Jamal Bentahar},
editor = {Carole A. Goble and
Peter P. Chen and
Jia Zhang},
title = {Trustworthy Web Service Selection Using Probabilistic Models},
booktitle = {2012 {IEEE} 19th International Conference on Web Services, Honolulu,
HI, USA, June 24-29, 2012},
pages = {17--24},
publisher = {{IEEE} Computer Society},
year = {2012},
}
@article{blei2001latent,
title={Latent dirichlet allocation},
author={Blei, David and Ng, Andrew and Jordan, Michael},
journal={Advances in neural information processing systems},
volume={14},
pages={601--608},
year={2001}
}
@article{blei2007correlated,
title={A correlated topic model of science},
author={Blei, David M and Lafferty, John D and others},
journal={The Annals of Applied Statistics},
volume={1},
number={1},
pages={17--35},
year={2007},
publisher={Institute of Mathematical Statistics}
}
@inproceedings{li2006pachinko,
title={Pachinko allocation: DAG-structured mixture models of topic correlations},
author={Li, Wei and McCallum, Andrew},
booktitle={Proceedings of the 23rd international conference on Machine learning},
pages={577--584},
year={2006}
}
@article{li2012nonparametric,
title={Nonparametric bayes pachinko allocation},
author={Li, Wei and Blei, David and McCallum, Andrew},
journal={arXiv preprint arXiv:1206.5270},
year={2012}
}
@inproceedings{putthividhya2009independent,
title={Independent factor topic models},
author={Putthividhya, Duangmanee and Attias, Hagai T and Nagarajan, Srikantan},
booktitle={Proceedings of the 26th Annual International Conference on Machine Learning},
pages={833--840},
year={2009}
}
@inproceedings{caballero2012generalized,
title={The generalized dirichlet distribution in enhanced topic detection},
author={Caballero, Karla L and Barajas, Joel and Akella, Ram},
booktitle={Proceedings of the 21st ACM international conference on Information and knowledge management},
pages={773--782},
year={2012}
}
@article{bouguila2011hybrid,
title={Hybrid generative/discriminative approaches for proportional data modeling and classification},
author={Bouguila, Nizar},
journal={IEEE Transactions on Knowledge and Data Engineering},
volume={24},
number={12},
pages={2184--2202},
year={2011},
publisher={IEEE}
},
@article{blei2003latent,
title={Latent dirichlet allocation},
author={Blei, David M and Ng, Andrew Y and Jordan, Michael I},
journal={Journal of machine Learning research},
volume={3},
number={Jan},
pages={993--1022},
year={2003}
}


@techreport{heinrich2005parameter,
title={Parameter estimation for text analysis},
author={Heinrich, Gregor},
year={2005},
institution={Technical report}
}
@inproceedings{canini2009online,
title={Online inference of topics with latent Dirichlet allocation},
author={Canini, Kevin and Shi, Lei and Griffiths, Thomas},
booktitle={Artificial Intelligence and Statistics},
pages={65--72},
year={2009}
},
@article{albalawi2020using,
title={Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis. Front},
author={Albalawi, R and Yeap, TH and Benyoucef, M},
journal={Artif. Intell},
volume={3},
pages={42},
year={2020}
}
@article{kherwa2020topic,
title={Topic Modeling: A Comprehensive Review},
author={Kherwa, Pooja and Bansal, Poonam},
journal={EAI Endorsed Transactions on Scalable Information Systems},
volume={7},
number={24},
year={2020},
publisher={European Alliance for Innovation (EAI)}
}
@article{casella1992explaining,
title={Explaining the Gibbs sampler},
author={Casella, George and George, Edward I},
journal={The American Statistician},
volume={46},
number={3},
pages={167--174},
year={1992},
publisher={Taylor \& Francis}
}
@article{griffiths2002gibbs,
title={Gibbs sampling in the generative model of latent dirichlet allocation},
author={Griffiths, Tom},
year={2002},
publisher={Citeseer}
}
@article{gershman2012tutorial,
title={A tutorial on Bayesian nonparametric models},
author={Gershman, Samuel J and Blei, David M},
journal={Journal of Mathematical Psychology},
volume={56},
number={1},
pages={1--12},
year={2012},
publisher={Elsevier}
}
@inproceedings{yin2014dirichlet,
title={A dirichlet multinomial mixture model-based approach for short text clustering},
author={Yin, Jianhua and Wang, Jianyong},
booktitle={Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining},
pages={233--242},
year={2014}
@article{ratnaparkhi2014multinomial,
title={Multinomial Distribution: Properties and Extensions},
author={Ratnaparkhi, MV},
journal={Wiley StatsRef: Statistics Reference Online},
year={2014},
publisher={Wiley Online Library}
}
@article{bouguila2010count,
title={Count data modeling and classification using finite mixtures of distributions},
author={Bouguila, Nizar},
journal={IEEE Transactions on Neural Networks},
volume={22},
number={2},
pages={186--198},
year={2010},
publisher={IEEE}
}
@article{zamzami2020high,
title={High-Dimensional Count Data Clustering Based on an Exponential Approximation to the Multinomial Beta-Liouville Distribution},
author={Zamzami, Nuha and Bougila, Nizar},
journal={Information Sciences},
year={2020},
publisher={Elsevier}
}
@inproceedings{banerjee2007clustering,
title={Clustering short texts using wikipedia},
author={Banerjee, Somnath and Ramanathan, Krishnan and Gupta, Ajay},
booktitle={Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval},
pages={787--788},
year={2007}
}
@article{siddiqui2015short,
title={Short text clustering; challenges \& solutions: a literature review},
author={Siddiqui, Tamanna and Aalam, Parvej},
journal={Int. J. Math. Comput. Res},
volume={3},
number={6},
pages={1025--1031},
year={2015}
}
@inproceedings{koppen2000curse,
title={The curse of dimensionality},
author={K{\"o}ppen, Mario},
booktitle={5th Online World Conference on Soft Computing in Industrial Applications (WSC5)},
volume={1},
pages={4--8},
year={2000}
}
@inproceedings{ramos2003using,
title={Using tf-idf to determine word relevance in document queries},
author={Ramos, Juan and others},
booktitle={Proceedings of the first instructional conference on machine learning},
volume={242},
number={1},
pages={29--48},
year={2003},
organization={Citeseer}
}
@article{zhang2010understanding,
title={Understanding bag-of-words model: a statistical framework},
author={Zhang, Yin and Jin, Rong and Zhou, Zhi-Hua},
journal={International Journal of Machine Learning and Cybernetics},
volume={1},
number={1-4},
pages={43--52},
year={2010},
publisher={Springer}
},
@article{DBLP:journals/csda/Bouguila10,
author = {Nizar Bouguila},
title = {On multivariate binary data clustering and feature weighting},
journal = {Comput. Stat. Data Anal.},
volume = {54},
number = {1},
pages = {120--134},
year = {2010},
url = {https://doi.org/10.1016/j.csda.2009.07.013},
doi = {10.1016/j.csda.2009.07.013},
timestamp = {Tue, 18 Feb 2020 13:54:06 +0100},
biburl = {https://dblp.org/rec/journals/csda/Bouguila10.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}



@article{murphy2006binomial,
title={Binomial and multinomial distributions},
author={Murphy, Kevin P},
journal={University of British Columbia, Tech. Rep},
year={2006}}
@article{farrow2017mas3301,
title={MAS3301 Bayesian Statistics},
author={Farrow, M},
journal={Newcastle University},
year={2017}
}
@article{lin2016dirichlet,
title={On the dirichlet distribution},
author={Lin, Jiayu},
journal={Mater's Report},
year={2016},
publisher={Queen's University Kingston Ontario, Canada}
}
@book{bouguila2020mixture,
title={Mixture models and applications},
author={Bouguila, Nizar and Fan, Wentao},
year={2020},
publisher={Springer}
}
@article{mcdaid2011normalized,
title={Normalized mutual information to evaluate overlapping community finding algorithms},
author={McDaid, Aaron F and Greene, Derek and Hurley, Neil},
journal={arXiv preprint arXiv:1110.2515},
year={2011}
}
@article{qaiser2018text,
title={Text mining: use of TF-IDF to examine the relevance of words to documents},
author={Qaiser, Shahzad and Ali, Ramsha},
journal={International Journal of Computer Applications},
volume={181},
number={1},
pages={25--29},
year={2018}
}
@inproceedings{yin2014dirichlet,
title={A dirichlet multinomial mixture model-based approach for short text clustering},
author={Yin, Jianhua and Wang, Jianyong},
booktitle={Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining},
pages={233--242},
year={2014}
}
@article{nigam2000text,
title={Text classification from labeled and unlabeled documents using EM},
author={Nigam, Kamal and McCallum, Andrew Kachites and Thrun, Sebastian and Mitchell, Tom},
journal={Machine learning},
volume={39},
number={2},
pages={103--134},
year={2000},
publisher={Springer}
}
@inproceedings{hannachi2021short,
title={Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model.},
author={Hannachi, Samar and Najar, Fatma and Bouguila, Nizar},
booktitle={ACIIDS (Companion)},
pages={149--161},
year={2021}
}
@inproceedings{yin2016model,
title={A model-based approach for text clustering with outlier detection},
author={Yin, Jianhua and Wang, Jianyong},
booktitle={2016 IEEE 32nd International Conference on Data Engineering (ICDE)},
pages={625--636},
year={2016},
organization={IEEE}
}
@inproceedings{crook2009unsupervised,
title={Unsupervised classification of dialogue acts using a Dirichlet process mixture model},
author={Crook, Nigel and Granell, Ramon and Pulman, Stephen},
booktitle={Proceedings of the SIGDIAL 2009 Conference},
pages={341--348},
year={2009}
}
@article{crook2019fast,
title={Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics},
author={Crook, Oliver M and Gatto, Laurent and Kirk, Paul DW},
journal={Statistical applications in genetics and molecular biology},
volume={18},
number={6},
year={2019},
publisher={De Gruyter}
}
@article{teh2006hierarchical,
title={Hierarchical dirichlet processes},
author={Teh, Yee Whye and Jordan, Michael I and Beal, Matthew J and Blei, David M},
journal={Journal of the american statistical association},
volume={101},
number={476},
pages={1566--1581},
year={2006},
publisher={Taylor \& Francis}
}
@inproceedings{yin2016text,
title={A text clustering algorithm using an online clustering scheme for initialization},
author={Yin, Jianhua and Wang, Jianyong},
booktitle={Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining},
pages={1995--2004},
year={2016}
},

@article{boutemedjet2008hybrid,
title={A hybrid feature extraction selection approach for high-dimensional non-Gaussian data clustering},
author={Boutemedjet, Sabri and Bouguila, Nizar and Ziou, Djemel},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={31},
number={8},
pages={1429--1443},
year={2008},
publisher={IEEE}
}
@incollection{vacavant2014incremental,
title={Incremental Learning of an Infinite Beta-Liouville Mixture Model for Video Background Subtraction},
author={Vacavant, Antoine},
booktitle={Background Modeling and Foreground Detection for Video Surveillance},
pages={317--334},
year={2014},
publisher={Chapman and Hall/CRC}
}
@inproceedings{fan2013spatio,
title={Spatio-temporal object recognition using variational learning of an infinite statistical model},
author={Fan, Wentao and Bouguila, Nizar},
booktitle={21st European Signal Processing Conference (EUSIPCO 2013)},
pages={1--5},
year={2013},
organization={IEEE}
},

@article{ishwaran2001gibbs,
title={Gibbs sampling methods for stick-breaking priors},
author={Ishwaran, Hemant and James, Lancelot F},
journal={Journal of the American Statistical Association},
volume={96},
number={453},
pages={161--173},
year={2001},
publisher={Taylor \& Francis}
}
@article{bishop2006pattern,
title={Pattern recognition},
author={Bishop, Christopher M},
journal={Machine learning},
volume={128},
number={9},
year={2006}
}
@inproceedings{hannachi2021collapsed,
title={Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering},
author={Hannachi, Samar and Najar, Fatma and Ihou, Koffi Eddy and Bouguila, Nizar},
booktitle={International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems},
pages={564--571},
year={2021},
organization={Springer}
}
@article{connor1969concepts,
title={Concepts of independence for proportions with a generalization of the Dirichlet distribution},
author={Connor, Robert J and Mosimann, James E},
journal={Journal of the American Statistical Association},
volume={64},
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}
}