| 2026 | AAAI | Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms. | Jiaxun Guo, Manar Amayri, Nizar Bouguila, Xin Liu, Wentao Fan |
| 2026 | ICPR | Smoothed-ModernBERT: Cross-Modal Gated Attention of Probabilistic Topic Models and ModernBERT Through Dynamic Fusion. | Akinlolu Oluwabusayo Ojo, Nizar Bouguila |
| 2026 | WWW | Multimodal Topic Discovery in Web Media via von Mises-Fisher Mixture Neural Topic Models. | Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan |
| 2026 | SIGIR | MSW-NTM: A Spherical Wasserstein Autoencoder for Multimodal Neural Topic Modeling with LLM-Guided Topic Refinement. | Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan |
| 2025 | AI | Neural Wavelet Packet-Based Bidirectional Autoencoder for Multi-Resolution Speech Enhancement. | Alaa Nfissi, Wassim Bouachir, Nizar Bouguila |
| 2025 | AI | Multimodal Emotion Recognition with Cross-Attentive Learning and Feature Fusion. | Alaa Nfissi, Ines Jemmali, Wassim Bouachir, Nizar Bouguila |
| 2025 | FlAIRS | Flexible Dirichlet Mixture Model for Multi-modal data Clustering. | Seunghyun Hong, Fatma Najar, Manar Amayri, Nizar Bouguila |
| 2025 | KDD | Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures. | Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila |
| 2025 | SNPD | Schizophrenia Detection using non-Orthogonal Adaptive Constrained Independent Vector Analysis with Multivariate Distribution. | Ali Algumaei, Muhammad Azam, Nizar Bouguila |
| 2025 | SNPD | Multivariate Bounded Support Kotz Mixture Model: Addressing Financial Fraud and Network Security Challenges. | Tsega Weldu Araya, Muhammad Azam, Nizar Bouguila, Jamal Bentahar |
| 2024 | ATSIP | Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM. | Ali Algumaei, Muhammad Azam, Nizar Bouguila |
| 2024 | CoDIT | A Nonparametric Bayesian Framework for Multivariate Libby-Novick Beta Mixture Models. | Niloufar Samiee, Narges Manouchehri, Nizar Bouguila |
| 2024 | ECCV | Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data. | Sneha Paul, Zachary Patterson, Nizar Bouguila |
| 2024 | FlAIRS | A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. | Fares Alkhawaja, Manar Amayri, Nizar Bouguila |
| 2024 | FlAIRS | Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. | Fares Alkhawaja, Manar Amayri, Nizar Bouguila |
| 2024 | FlAIRS | Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data. | Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila |
| 2024 | ICMLA | Learnable Deep Wavelet Packet Transform for Speech Emotion Recognition in High-Risk Suicide Calls. | Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara |
| 2024 | ICONIP | Adaptive Constrained ICABMGGMM: Application to ECG Blind Source Separation. | Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila |
| 2024 | ICPRAM | PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm. | Zahra Golpayegani, Nizar Bouguila |
| 2024 | ISNCC | Multivariate Bounded Support Kotz Mixture Model with Minimum Message Length Criterion. | Tsega Weldu Araya, Muhammad Azam, Nizar Bouguila, Jamal Bentahar |
| 2024 | ISNCC | Author Dirichlet Multinomial Allocation Model with Generalized Distribution (ADMAGD). | Faiza Tahsin, Hafsa Ennajari, Nizar Bouguila |
| 2023 | ACIIDS | Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. | Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila |
| 2023 | ACIIDS | Novel Topic Models for Parallel Topics Extraction from Multilingual Text. | Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila |
| 2023 | ACIIDS | Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. | Niloufar Samiee, Narges Manouchehri, Nizar Bouguila |
| 2023 | CoDIT | A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. | Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila |
| 2023 | CoDIT | Sentiment Analysis Using Smoothed Probabilistic-Based Models. | Fatma Najar, Nizar Bouguila |
| 2023 | CVPR | MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images. | Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila, Riad I. Hammoud |
| 2023 | HPCC | A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting. | Hamdi Barkous, Manar Amayri, Nizar Bouguila |
| 2023 | HPCC | Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions. | Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila, Manar Amayri |
| 2023 | HPCC | Generalized Dirichlet-Multinomial Regression: Leveraging Arbitrary Features for Topic Modelling. | Pantea Koochemeshkian, Nizar Bouguila |
| 2023 | ICAISC | Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. | Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila |
| 2023 | ICMLA | Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions. | Pantea Koochemeshkian, Nizar Bouguila |
| 2023 | ICMLA | Iterative Feature Boosting for Explainable Speech Emotion Recognition. | Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara |
| 2023 | ICMLA | Semantic Segmentation Using Transfer Learning on Fisheye Images. | Sneha Paul, Zachary Patterson, Nizar Bouguila |
| 2023 | ICPRAM | Invertible Neural Network-Based Video Compression. | Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila |
| 2023 | ICTAI | Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach. | Ornela Bregu, Nizar Bouguila |
| 2023 | ISNCC | Generalized Probabilistic Clustering Projection Models for Discrete Data. | Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila |
| 2023 | SMC | Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. | Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila |
| 2023 | SMC | Explainable Robust Smart Meter Data Clustering for Improved Energy Management. | Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila |
| 2023 | SMC | Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. | Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila |
| 2023 | SMC | Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. | Oussama Sghaier, Manar Amayri, Nizar Bouguila |
| 2023 | SAC | Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. | Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila |
| 2022 | AsiaCCS | EVOLIoT: A Self-Supervised Contrastive Learning Framework for Detecting and Characterizing Evolving IoT Malware Variants. | Mirabelle Dib, Sadegh Torabi, Elias Bou-Harb, Nizar Bouguila, Chadi Assi |
| 2022 | FlAIRS | Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. | Narges Manouchehri, Nizar Bouguila |
| 2022 | FNC | Explainable K-Means Clustering for Occupancy Estimation. | Kumar Prabhakaran, Jawher Dridi, Manar Amayri, Nizar Bouguila |
| 2022 | ICCCI | Stochastic Expectation Propagation Learning for Unsupervised Feature Selection. | Wentao Fan, Manar Amayri, Nizar Bouguila |
| 2022 | ICMLA | Recurrent Neural Network-Based Video Compression. | Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila |
| 2022 | ICMLA | Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. | Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila |
| 2022 | ICMLA | CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks. | Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara |
| 2022 | ICPR | Embedded Spherical Topic Models for Supervised Learning. | Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar |
| 2022 | SDM | Knowledge-enhanced Spherical Representation Learning for Text Classification. | Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar |
| 2022 | SSPR | Interactive Generalized Dirichlet Mixture Allocation Model. | Kamal Maanicshah, Manar Amayri, Nizar Bouguila |
| 2022 | SSPR | Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach. | Rim Nasfi, Nizar Bouguila |
| 2022 | SSPR | Improved Training for 3D Point Cloud Classification. | Sneha Paul, Zachary Patterson, Nizar Bouguila |
| 2021 | ACIIDS | Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model. | Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Wentao Fan |
| 2021 | ACIIDS | Mixture-Based Unsupervised Learning for Positively Correlated Count Data. | Ornela Bregu, Nuha Zamzami, Nizar Bouguila |
| 2021 | ACIIDS | Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model. | Samar Hannachi, Fatma Najar, Nizar Bouguila |
| 2021 | ACIIDS | Clustering Count Data with Stochastic Expectation Propagation. | Xavier Sumba, Nuha Zamzami, Nizar Bouguila |
| 2021 | ADMA | Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation. | Fatma Najar, Nizar Bouguila |
| 2021 | FlAIRS | Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. | Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan |
| 2021 | FlAIRS | Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models. | Xuanbo Su, Nizar Bouguila, Nuha Zamzami |
| 2021 | ICDAR | Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge. | Fatma Najar, Nizar Bouguila |
| 2021 | ICMLA | Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. | Narges Manouchehri, Nizar Bouguila, Wentao Fan |
| 2021 | IJCNN | Efficient Parameter Based Online Object Tracking. | Md. Hafizur Rahman, Samr Ali, Nizar Bouguila |
| 2021 | IRI | A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models. | Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila |
| 2021 | IRI | A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution. | Narges Manouchehri, Ali Baghdadi, Nizar Bouguila |
| 2021 | IRI | Jointly smoothing word embedding and text representation. | Fatma Najar, Nizar Bouguila |
| 2021 | IRI | Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition. | Zixiang Xian, Muhammad Azam, Nizar Bouguila |
| 2021 | IECON | Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis. | Narges Manouchehri, Nizar Bouguila |
| 2021 | ISNCC | Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. | Ahmed Rebei, Oumayma Dalhoumi, Narges Manouchehri, Ali Baghdadi, Manar Amayri, Nizar Bouguila |
| 2021 | ISVC | Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning. | Vahid Khorasani Ghassab, Nizar Bouguila |
| 2021 | SIGIR | Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models. | Wentao Fan, Zhiyan Guo, Nizar Bouguila, Wenjuan Hou |
| 2020 | AI | Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model. | Fatma Najar, Nizar Bouguila |
| 2020 | AI | Improving Classification Using Topic Correlation and Expectation Propagation. | Xavier Sumba, Nizar Bouguila |
| 2020 | ATSIP | Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition. | Fatma Najar, Sami Bourouis, Marwan Alshar'e, Roobaea Alroobaea, Nizar Bouguila, Ali H. Al-Badi, Ines Channoufi |
| 2020 | FlAIRS | MCMC-Based Learning of Finite Bivariate Beta Mixture Models. | Maryam Rasti, Narges Manouchehri, Nizar Bouguila |
| 2020 | FlAIRS | Improving the EDCM Mixture Model with Expectation Propagation. | Xavier Sumba, Nuha Zamzami, Nizar Bouguila |
| 2020 | ICIP | Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition. | Samr Ali, Nizar Bouguila |
| 2020 | IRI | Fully Bayesian Learning of Multivariate Beta Mixture Models. | Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila |
| 2020 | IRI | Background Subtraction with a Hierarchical Pitman-Yor Process Mixture Model of Generalized Gaussian Distributions. | Srikanth Amudala, Samr Ali, Nizar Bouguila |
| 2020 | IRI | A Distribution-based Regression for Real-time COVID-19 Cases Detection from Chest X-ray and CT Images. | Nuha Zamzami, Pantea Koochemeshkian, Nizar Bouguila |
| 2020 | ISM | REP-Model: A deep learning framework for replacing ad billboards in soccer videos. | Vahid Khorasani Ghassab, Kamal Maanicshah, Nizar Bouguila, Paul Green |
| 2020 | ISNCC | Bivariate Beta Regression Model and Its Medical Applications. | Pantea Koochemeshkian, Narges Manouchehri, Nizar Bouguila |
| 2020 | ISNCC | Recognition of human interactions in feature films based on infinite mixture of EDCM. | Fatma Najar, Nuha Zamzami, Nizar Bouguila |
| 2020 | ISNCC | Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation. | Yogesh Pawar, Manar Amayri, Nizar Bouguila |
| 2020 | ISNCC | An Effective Hybrid Anomaly Detection System Based on Mixture Models. | Yogesh Pawar, Nuha Zamzami, Nizar Bouguila |
| 2020 | ISNCC | Probabilistic Features on Simplex Manifold in Predictive Data Modelling. | Md. Hafizur Rahman, Nizar Bouguila |
| 2020 | ISVC | Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting. | Omar Graja, Fatma Najar, Nizar Bouguila |
| 2020 | ISVC | Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures. | Fatma Najar, Nizar Bouguila |
| 2020 | MMSP | On Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Data. | Samr Ali, Nizar Bouguila |
| 2020 | SMC | A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification. | Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila |
| 2020 | SMC | Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling. | Samr Ali, Nizar Bouguila |
| 2020 | SMC | Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection. | Srikanth Amudala, Samr Ali, Nizar Bouguila |
| 2020 | SMC | Instance-Based Learning for Human Action Recognition. | Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila |
| 2020 | SMC | Distribution-based Regression Models for Semi-Bounded Data Analysis. | Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila |
| 2020 | SMC | Inverted Dirichlet and Related Distributions Based Feature Mapping for Data Classification. | Md. Hafizur Rahman, Nizar Bouguila |
| 2019 | CoDIT | An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures. | Fahdah Alalyan, Nuha Zamzami, Manar Amayri, Nizar Bouguila |
| 2019 | CoDIT | Beta-Liouville Regression and Applications. | Divya Ankam, Nizar Bouguila, Manar Amayri |
| 2019 | CVPR | Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition. | Samr Ali, Nizar Bouguila |
| 2019 | IRI | Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution. | Muhammad Azam, Nizar Bouguila |
| 2019 | IRI | Fake News Detection Using Bayesian Inference. | Fatma Najar, Nuha Zamzami, Nizar Bouguila |
| 2019 | IRI | Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models. | Hieu Nguyen, Meeta Kalra, Muhammad Azam, Nizar Bouguila |
| 2019 | ISM | Hybrid Generative-Discriminative Generalized Dirichlet-Based Hidden Markov Models with Support Vector Machines. | Samr Ali, Nizar Bouguila |
| 2018 | AI | MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models. | Nuha Zamzami, Nizar Bouguila |
| 2018 | ATSIP | Color image segmentation with bounded generalized Gaussian mixture model and feature selection. | Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni |
| 2018 | ICDM | Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs. | Yewang Chen, Lida Zhou, Nizar Bouguila, Bineng Zhong, Fei Wu, Zhen Lei, Ji-Xiang Du, Hailin Li |
| 2018 | ICISP | Visual Scene Reconstruction Using a Bayesian Learning Framework. | Sami Bourouis, Nizar Bouguila, Yexing Li, Muhammad Azam |
| 2018 | ICISP | Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation. | Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni |
| 2018 | ICMLA | Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML. | Basim Alghabashi, Nizar Bouguila |
| 2018 | ICMLA | Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model. | Rua Alsuroji, Nuha Zamzami, Nizar Bouguila |
| 2018 | ICMLA | Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval. | Muhammad Azam, Nizar Bouguila |
| 2018 | ICMLA | Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization. | Shuai Fu, Nizar Bouguila |
| 2018 | IRI | Compositional Data Analysis with PLS-DA and Security Applications. | Divya Ankam, Nizar Bouguila |
| 2018 | IRI | Speaker Verification Using Adapted Bounded Gaussian Mixture Model. | Muhammad Azam, Nizar Bouguila |
| 2017 | AICCSA | Video Forgery Detection Using a Bayesian RJMCMC-Based Approach. | Sami Bourouis, Faisal R. Al-Osaimi, Nizar Bouguila, Hassen Sallay, Fahd M. Aldosari, Mohamed Al Mashrgy |
| 2017 | AICCSA | A Comparison Between Different Gaussian-Based Mixture Models. | Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith |
| 2017 | ICASSP | A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation. | Wentao Fan, Nizar Bouguila, Xin Liu |
| 2017 | ICASSP | Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data. | Walid Masoudimansour, Nizar Bouguila |
| 2017 | ICDM | FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree. | Yewang Chen, Jai Puneet Singh, Lida Zhou, Nizar Bouguila |
| 2016 | CoDIT | RJMCMC learning for clustering and feature selection of L2-normalized vectors. | Ola Amayri, Nizar Bouguila |
| 2016 | CoDIT | Accelerated variational inference for Beta-Liouville mixture learning with application to 3D shapes recognition. | Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila, Ji-Xiang Du |
| 2016 | DSAA | Infinite Langevin Mixture Modeling and Feature Selection. | Ola Amayri, Nizar Bouguila |
| 2016 | ICISP | Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model. | Muhammad Azam, Nizar Bouguila |
| 2016 | ISCAS | A novel 3D model recognition approach using Pitman-Yor process mixtures of Beta-Liouville Distributions. | Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila |
| 2016 | ISVC | View-Based 3D Objects Recognition with Expectation Propagation Learning. | Adrien Bertrand, Faisal R. Al-Osaimi, Nizar Bouguila |
| 2016 | ISVC | A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification. | Wentao Fan, Nizar Bouguila |
| 2016 | MMSP | Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data. | Walid Masoudimansour, Nizar Bouguila |
| 2015 | ICIP | Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions. | Wentao Fan, Nizar Bouguila |
| 2015 | ICMLA | A Finite Gamma Mixture Model-Based Discriminative Learning Frameworks. | Faisal R. Al-Osaimi, Nizar Bouguila |
| 2015 | ICMLA | Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models. | Wentao Fan, Nizar Bouguila |
| 2015 | ICMLA | Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models. | Wentao Fan, Hassen Sallay, Nizar Bouguila, Ji-Xiang Du |
| 2015 | MMSP | Hybrid hidden Markov model for mixed continuous/continuous and discrete/continuous data modeling. | Elise Epaillard, Nizar Bouguila |
| 2014 | ATSIP | A model-based discriminative framework for sets of positive vectors classification: Application to object categorization. | Nizar Bouguila |
| 2014 | DASFAA | Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions. | Wentao Fan, Nizar Bouguila |
| 2014 | ICSEng | Web Service Intrusion Detection Using a Probabilistic Framework. | Hassen Sallay, Sami Bourouis, Nizar Bouguila |
| 2013 | DeSE | A Bayesian Approach for the Classification of Mammographic Masses. | Tarek Elguebaly, Nizar Bouguila |
| 2013 | IJCAI | Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering. | Wentao Fan, Nizar Bouguila |
| 2013 | IJCAI | Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models. | Wentao Fan, Nizar Bouguila |
| 2013 | IJCAI | Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition. | Wentao Fan, Nizar Bouguila |
| 2013 | IJCNN | Online news topic detection and tracking via localized feature selection. | Ola Amayri, Nizar Bouguila |
| 2013 | IJCNN | Variational learning of finite Beta-Liouville mixture models using component splitting. | Wentao Fan, Nizar Bouguila |
| 2013 | IJCNN | Unsupervised feature selection for proportional data clustering via expectation propagation. | Wentao Fan, Nizar Bouguila |
| 2013 | ICTAI | Visual Scenes Categorization Using a Flexible Hierarchical Mixture Model Supporting Users Ontology. | Taoufik Bdiri, Nizar Bouguila, Djemel Ziou |
| 2013 | ICWS | A QoS-Based Trust Approach for Service Selection and Composition via Bayesian Networks. | Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar |
| 2012 | ADMA | Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications. | Wentao Fan, Nizar Bouguila |
| 2012 | BMVC | Image Text Detection Using a Bandlet-Based Edge Detector and Stroke Width Transform. | Ali Mosleh, Nizar Bouguila, A. Ben Hamza |
| 2012 | ICMLA | Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application. | Wentao Fan, Nizar Bouguila |
| 2012 | ICONIP | A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification. | Ali Shojaee Bakhtiari, Nizar Bouguila |
| 2012 | ICONIP | Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions. | Wentao Fan, Nizar Bouguila |
| 2012 | ISCAS | Content-based spam filtering using hybrid generative discriminative learning of both textual and visual features. | Ola Amayri, Nizar Bouguila |
| 2012 | ISCAS | Medical image classification using birth-and-death MCMC. | Tarek Elguebaly, Nizar Bouguila |
| 2012 | ICWS | Trustworthy Web Service Selection Using Probabilistic Models. | Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar |
| 2011 | CVPR | A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation. | Tarek Elguebaly, Nizar Bouguila |
| 2011 | ICDM | Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection. | Wentao Fan, Nizar Bouguila, Djemel Ziou |
| 2011 | ICMLA | Probabilistic clustering based on Langevin mixture. | Ola Amayri, Nizar Bouguila |
| 2011 | ICMLA | Infinite Dirichlet Mixture Model and Its Application via Variational Bayes. | Wentao Fan, Nizar Bouguila |
| 2011 | ICONIP | An Infinite Mixture of Inverted Dirichlet Distributions. | Taoufik Bdiri, Nizar Bouguila |
| 2011 | ICONIP | A Variational Statistical Framework for Object Detection. | Wentao Fan, Nizar Bouguila, Djemel Ziou |
| 2011 | ICONIP | A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection. | Mohamed Al Mashrgy, Nizar Bouguila, Khalid Daoudi |
| 2011 | ICONIP | Spatial Finite Non-gaussian Mixture for Color Image Segmentation. | Ali Sefidpour, Nizar Bouguila |
| 2011 | ICTAI | An Expandable Hierarchical Statistical Framework for Count Data Modeling and Its Application to Object Classification. | Ali Shojaee Bakhtiari, Nizar Bouguila |
| 2011 | ICTAI | Count Data Clustering Using Unsupervised Localized Feature Selection and Outliers Rejection. | Nizar Bouguila |
| 2010 | MMSP | A hierarchical statistical model for object classification. | Ali Shojaee Bakhtiari, Nizar Bouguila |
| 2009 | CIARP | Improved Online Support Vector Machines Spam Filtering Using String Kernels. | Ola Amayri, Nizar Bouguila |
| 2009 | CIARP | Generating Video Textures by PPCA and Gaussian Process Dynamical Model. | Wentao Fan, Nizar Bouguila |
| 2009 | ISCC | Online spam filtering using support vector machines. | Ola Amayri, Nizar Bouguila |
| 2009 | ISVC | Online Video Textures Generation. | Wentao Fan, Nizar Bouguila |
| 2009 | MMSP | Learning concepts from visual scenes using a binary probabilistic model. | Nizar Bouguila, Khalid Daoudi |
| 2009 | PAKDD | A Statistical Approach for Binary Vectors Modeling and Clustering. | Nizar Bouguila, Khalid Daoudi |
| 2009 | PAKDD | A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization. | Nizar Bouguila, Djemel Ziou |
| 2009 | SMC | On Video Textures Generation: A Comparison Between Different Dimensionality Reduction Techniques. | Nizar Bouguila, Wentao Fan |
| 2008 | ICANN | A Statistical Model for Histogram Refinement. | Nizar Bouguila, Walid ElGuebaly |
| 2008 | ICASSP | A generative model for spatial color image databases categorization. | Nizar Bouguila, Walid ElGuebaly |
| 2008 | ICIP | Non-Gaussian mixture image models prediction. | Nizar Bouguila |
| 2008 | ISIT | Stochastic optimization approach for entropic image alignment. | Waleed Mohamed, Ying Zhang, Abdessamad Ben Hamza, Nizar Bouguila |
| 2008 | PAKDD | On Discrete Data Clustering. | Nizar Bouguila, Walid ElGuebaly |
| 2007 | CVPR | A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling. | Nizar Bouguila, Djemel Ziou, Riad I. Hammoud |
| 2007 | ICASSP | Spatial Color Image Databases Summarization. | Nizar Bouguila |
| 2005 | CVPR | MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture. | Nizar Bouguila, Djemel Ziou |
| 2005 | ICIP | A probabilistic approach for shadows modeling and detection. | Nizar Bouguila, Djemel Ziou |
| 2004 | ICASSP | Dirichlet-based probability model applied to human skin detection [image skin detection]. | Nizar Bouguila, Djemel Ziou |
| 2004 | ICPR | A Powreful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications. | Nizar Bouguila, Djemel Ziou |
| 2004 | ICPR | Unsupervised Learning of a Finite Gamma Mixture Using MML: Application to SAR Image Analysis. | Djemel Ziou, Nizar Bouguila |