Nizar Bouguila

596 papers A* 7A 7B 31C 62Misc 29Journal 263Unranked 193

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Noise-Robust Approach Using Dynamic Graph Neural Networks for Bus Passenger Flow Prediction. IEEE Trans. Intell. Transp. Syst. Xinyi Zhou, Siyu Sun, Nizar Bouguila, Zachary Patterson
2026	J	`jnl`	Adaptive deep clustering via disentangled hyperspherical VAEs with contrastive geometry optimization. Neurocomputing Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila
2026	J	`jnl`	An Adapter-free Fine-tuning Approach for Tuning 3D Foundation Models. CoRR Sneha Paul, Zachary Patterson, Nizar Bouguila
2026	J	`jnl`	Clustering-based brain functional segmentation via deep collapsed nonparametric von Mises-Fisher mixture models. Expert Syst. Appl. Wentao Fan, Wenchuan Zhang, Xiao Dong, Nizar Bouguila
2026	A*	`conf`	Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms. AAAI Jiaxun Guo, Manar Amayri, Nizar Bouguila, Xin Liu, Wentao Fan
2026	J	`jnl`	Feed forward neural network for non-intrusive load monitoring. Neural Comput. Appl. Muhammad Asad, Manar Amayri, Nizar Bouguila
2026	J	`jnl`	Flexible priors for cross-collection topic modeling: an approach with generalized Dirichlet and Beta-Liouville distributions. Int. J. Data Sci. Anal. Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila
2026	J	`jnl`	HKANLP: Link Prediction With Hyperspherical Embeddings and Kolmogorov-Arnold Networks. IEEE Trans. Neural Networks Learn. Syst. Wenchuan Zhang, Wentao Fan, Weifeng Su, Nizar Bouguila
2026	J	`jnl`	Latent Code Description for Unsupervised AHU Fault Detection Using Adaptive Adversarial Autoencoder. IEEE Trans Autom. Sci. Eng. Viet Tra, Manar Amayri, Nizar Bouguila
2026	A*	`conf`	Multimodal Topic Discovery in Web Media via von Mises-Fisher Mixture Neural Topic Models. WWW Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan
2026	J	`jnl`	Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures. Neural Networks Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan
2026	J	`jnl`	Point Cloud as a Foreign Language for Multi-modal Large Language Model. CoRR Sneha Paul, Zachary Patterson, Nizar Bouguila
2026	J	`jnl`	STAM-GED: Spatial-Temporal Attention Masked Graph Neural Networks for Passenger Flow Prediction. IEEE Trans. Intell. Transp. Syst. Asiye Baghbani, Xinyi Zhou, Nizar Bouguila, Zachary Patterson
2026	J	`jnl`	Subgroup Identification in Resting-State fMRI Using Common Subspace Independent Vectors Analysis. ACM Trans. Comput. Heal. Ali Algumaei, Muhammad Azam, Nizar Bouguila
2026	J	`jnl`	Time series forecasting with Hahn Kolmogorov-Arnold networks. CoRR Md. Zahidul Hasan, A. Ben Hamza, Nizar Bouguila
2026	J	`jnl`	Unsupervised Domain Adaptation With Source Data for Estimating Occupancy and Recognizing Activities in Smart Buildings. IEEE Trans. Artif. Intell. Jawher Dridi, Manar Amayri, Nizar Bouguila
2026	J	`jnl`	Vectorized Bayesian Inference for Latent Dirichlet-Tree Allocation. CoRR Zheng Wang, Nizar Bouguila
2025	C	`conf`	A Comparative Study of Log-Based Anomaly Detection Methods in Real-World System Logs. IoTBDS Nadira Anjum Nipa, Nizar Bouguila, Zachary Patterson
2025	J	`jnl`	Adaptive Constrained IVAMGGMM: Application to Mental Disorders Detection. IEEE Trans. Emerg. Top. Comput. Intell. Ali Algumaei, Muhammad Azam, Nizar Bouguila
2025	J	`jnl`	Arabic Fake News Dataset Development: Humans and AI-Generated Contributions. IEEE Access Hanen T. Himdi, Nuha Zamzami, Fatma Najar, Mada Alrehaili, Nizar Bouguila
2025	—	`conf`	Author Beta-Liouville Multinomial Allocation Model. ICEIS (1) Faiza Tahsin, Hafsa Ennajari, Nizar Bouguila
2025	—	`conf`	BiovMNVTM: A Geometry-Aware Neural Topic Model for Biomedical Text Analysis via von Mises-Fisher Mixtures. BIBM Dayu Guo, Zhiwen Luo, Nizar Bouguila, Wentao Fan
2025	J	`jnl`	Correlated Topic Modeling for Short Texts in Spherical Embedding Spaces. IEEE Trans. Pattern Anal. Mach. Intell. Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
2025	—	`conf`	Crowd Counting via Wi-Fi Probe Requests: Integrating Feature Selection and Data Generation. ICSC Mohamed Chaaben, Nizar Bouguila, Zachary Patterson
2025	J	`jnl`	Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings. Neural Networks Jiaxun Guo, Wentao Fan, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	Dirichlet and Liouville-based normality scores for deep anomaly detection using transformations: applications to images and beyond images. Appl. Intell. Oussama Sghaier, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	Dirichlet compound negative multinomial mixture models and applications. Adv. Data Anal. Classif. Ornela Bregu, Nizar Bouguila
2025	J	`jnl`	Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding. Neural Networks Zhixiang Li, Zhiwen Luo, Nizar Bouguila, Weifeng Su, Wentao Fan
2025	—	`conf`	Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures. KDD (1) Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms. CoRR Jiaxun Guo, Manar Amayri, Nizar Bouguila, Xin Liu, Wentao Fan
2025	Misc	`conf`	Flexible Dirichlet Mixture Model for Multi-modal data Clustering. FLAIRS Seunghyun Hong, Fatma Najar, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	Flexible Distribution Approaches to Enhance Regression and Deep Topic Modelling Techniques. Expert Syst. J. Knowl. Eng. Pantea Koochemeshkian, Nizar Bouguila
2025	J	`jnl`	From unaltered raw waveform to emotion: Synergizing convolutional and gated recurrent networks for holistic speech emotion analysis. Appl. Intell. Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2025	J	`jnl`	LuKAN: A Kolmogorov-Arnold Network Framework for 3D Human Motion Prediction. CoRR Md. Zahidul Hasan, A. Ben Hamza, Nizar Bouguila
2025	—	`conf`	Multimodal Emotion Recognition with Cross-Attentive Learning and Feature Fusion. Canadian AI Alaa Nfissi, Ines Jemmali, Wassim Bouachir, Nizar Bouguila
2025	—	`conf`	Multivariate Bounded Support Kotz Mixture Model: Addressing Financial Fraud and Network Security Challenges. SNPD-Summer Tsega Weldu Araya, Muhammad Azam, Nizar Bouguila, Jamal Bentahar
2025	J	`jnl`	Multivariate bounded support Kotz mixture model with semi-supervised projected model-based clustering. Inf. Fusion Tsega Weldu Araya, Muhammad Azam, Nizar Bouguila, Jamal Bentahar
2025	—	`conf`	Neural Wavelet Packet-Based Bidirectional Autoencoder for Multi-Resolution Speech Enhancement. Canadian AI Alaa Nfissi, Wassim Bouachir, Nizar Bouguila
2025	J	`jnl`	SAVE: Self-Attention on Visual Embedding for Zero-Shot Generic Object Counting. J. Imaging Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
2025	—	`conf`	Schizophrenia Detection using non-Orthogonal Adaptive Constrained Independent Vector Analysis with Multivariate Distribution. SNPD-Summer Ali Algumaei, Muhammad Azam, Nizar Bouguila
2025	J	`jnl`	SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition. CoRR Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2025	J	`jnl`	SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition. IEEE Trans. Affect. Comput. Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2025	—	`conf`	Smart Building Management Application: Unsupervised First and Second-Order Moments Domain Adaptation for Occupant Behaviour Prediction Using IoT Sensor Data. CCNC Jawher Dridi, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media. IEEE Access Akinlolu Oluwabusayo Ojo, Fatma Najar, Nuha Zamzami, Hanen T. Himdi, Nizar Bouguila
2025	J	`jnl`	Transformer-based deep probabilistic network for load forecasting. Eng. Appl. Artif. Intell. Omar Bouhamed, Maher Dissem, Manar Amayri, Nizar Bouguila
2025	—	`conf`	Uniting Mcdonald's Beta and Liouville Distributions to Empower Anomaly Detection. ICEIS (1) Oussama Sghaier, Manar Amayri, Nizar Bouguila
2025	—	`conf`	Unsupervised Partial Domain Adaptation for Occupants Behavior Modeling in Smart Buildings. SMARTGREENS Jawher Dridi, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	.FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images. J. Imaging Sneha Paul, Zachary Patterson, Nizar Bouguila
2024	C	`conf`	A Nonparametric Bayesian Framework for Multivariate Libby-Novick Beta Mixture Models. CoDIT Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
2024	—	`conf`	A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera. ICSC Pardis Ghaziamin, Kairavi Bajaj, Nizar Bouguila, Zachary Patterson
2024	Misc	`conf`	A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. FLAIRS Fares Alkhawaja, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	A scaled dirichlet-based predictive model for occupancy estimation in smart buildings. Appl. Intell. Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
2024	J	`jnl`	A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder. Pattern Recognit. Akinlolu Oluwabusayo Ojo, Nizar Bouguila
2024	—	`conf`	Adaptive Constrained ICABMGGMM: Application to ECG Blind Source Separation. ICONIP (5) Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Affinity-Driven Transfer Learning for Load Forecasting. Sensors Ahmed Rebei, Manar Amayri, Nizar Bouguila
2024	C	`conf`	Author Dirichlet Multinomial Allocation Model with Generalized Distribution (ADMAGD). ISNCC Faiza Tahsin, Hafsa Ennajari, Nizar Bouguila
2024	J	`jnl`	Big topic modeling based on a two-level hierarchical latent Beta-Liouville allocation for large-scale data and parameter streaming. Pattern Anal. Appl. Koffi Eddy Ihou, Nizar Bouguila
2024	J	`jnl`	Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness. CoRR Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila
2024	—	`conf`	Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers. ANNPR Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2024	J	`jnl`	DualMLP: a two-stream fusion model for 3D point cloud classification. Vis. Comput. Sneha Paul, Zachary Patterson, Nizar Bouguila
2024	J	`jnl`	Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management. ACM Trans. Intell. Syst. Technol. Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	FSNet: A Hybrid Model for Seasonal Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. Ahmed Rebei, Manar Amayri, Nizar Bouguila
2024	—	`conf`	Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring. ICHMS Skander Chouchene, Manar Amayri, Nizar Bouguila
2024	—	`conf`	Generalizing Conditional Naive Bayes Model. ICEIS (1) Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila
2024	J	`jnl`	Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis. IEEE Trans. Neural Networks Learn. Syst. Wentao Fan, Lin Yang, Nizar Bouguila
2024	J	`jnl`	Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions. Pattern Anal. Appl. Ons Bouarada, Muhammad Azam, Manar Amayri, Nizar Bouguila
2024	—	`conf`	Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data. ECCV (66) Sneha Paul, Zachary Patterson, Nizar Bouguila
2024	J	`jnl`	Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data. CoRR Sneha Paul, Zachary Patterson, Nizar Bouguila
2024	J	`jnl`	Integration of Neural Embeddings and Probabilistic Models in Topic Modeling. Appl. Artif. Intell. Pantea Koochemeshkian, Nizar Bouguila
2024	J	`jnl`	Iterative Feature Boosting for Explainable Speech Emotion Recognition. CoRR Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2024	Misc	`conf`	Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data. FLAIRS Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila
2024	C	`conf`	Learnable Deep Wavelet Packet Transform for Speech Emotion Recognition in High-Risk Suicide Calls. ICMLA Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2024	J	`jnl`	Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data. ACM Trans. Intell. Syst. Technol. Oussama Sghaier, Manar Amayri, Nizar Bouguila
2024	Misc	`conf`	Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM. ATSIP Ali Algumaei, Muhammad Azam, Nizar Bouguila
2024	J	`jnl`	Multi-Source Domain Adaptation Using Ambient Sensor Data. Appl. Artif. Intell. Jawher Dridi, Manar Amayri, Nizar Bouguila
2024	C	`conf`	Multivariate Bounded Support Kotz Mixture Model with Minimum Message Length Criterion. ISNCC Tsega Weldu Araya, Muhammad Azam, Nizar Bouguila, Jamal Bentahar
2024	J	`jnl`	Neural Architecture Search for Anomaly Detection in Time-Series Data of Smart Buildings: A Reinforcement Learning Approach for Optimal Autoencoder Design. IEEE Internet Things J. Maher Dissem, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation. J. Ambient Intell. Humaniz. Comput. Soudabeh Tabarsaii, Manar Amayri, Nizar Bouguila, Ursula Eicker
2024	J	`jnl`	Novel approach for ECG separation using adaptive constrained IVABMGGMM. Digit. Signal Process. Ali Algumaei, Muhammad Azam, Nizar Bouguila
2024	J	`jnl`	Novel mixture allocation models for topic learning. Comput. Intell. Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications. Expert Syst. Appl. Zhiwen Luo, Manar Amayri, Wentao Fan, Koffi Eddy Ihou, Nizar Bouguila
2024	C	`conf`	PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm. ICPRAM Zahra Golpayegani, Nizar Bouguila
2024	J	`jnl`	PatchSVD: A Non-uniform SVD-based Image Compression Algorithm. CoRR Zahra Golpayegani, Nizar Bouguila
2024	J	`jnl`	Probabilistic rotation modeling based on directional mixture density networks. Inf. Sci. Lidan Zeng, Wentao Fan, Nizar Bouguila
2024	—	`conf`	Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. ANNPR Oussama Sghaier, Manar Amayri, Nizar Bouguila
2024	—	`conf`	Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP). CCNC Maher Dissem, Manar Amayri, Nizar Bouguila
2024	Misc	`conf`	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. FLAIRS Fares Alkhawaja, Manar Amayri, Nizar Bouguila
2024	—	`conf`	Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting. SMARTGREENS Farnaz Kashefinishabouri, Nizar Bouguila, Zachary Patterson
2024	—	`conf`	Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis. ICSC Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2024	J	`jnl`	Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers. IEEE Trans Autom. Sci. Eng. Viet Tra, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition. CoRR Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2024	J	`jnl`	Unveiling hidden factors: explainable AI for feature boosting in speech emotion recognition. Appl. Intell. Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2024	—	`conf`	VAeViT: Fusing Multi-views for Complete 3D Object Recognition. ANNPR Ahmed Yasser Eita, Hafsa Ennajari, Akinlolu Oluwabusayo Ojo, Nizar Bouguila
2023	—	`conf`	3D Multi-Views Object Classification Based on a Fully Generalized Dirichlet Allocation Model. ICIT Ahmed Yasser Eita, Hafsa Ennajari, Nizar Bouguila
2023	—	`conf`	A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting. HPCC/DSS/SmartCity/DependSys Hamdi Barkous, Manar Amayri, Nizar Bouguila
2023	C	`conf`	A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. CoDIT Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
2023	—	`conf`	A Selective Supervised Latent Beta-Liouville Allocation for Document Classification. IEA/AIE (1) Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila
2023	—	`conf`	A Variational Graph Convolution Network with Normalizing Flows for Passenger Flow Prediction. TransAI Siavash Farazmand, Raghav Narula, Zachary Patterson, Nizar Bouguila
2023	J	`jnl`	A novel minorization-maximization framework for simultaneous feature selection and clustering of high-dimensional count data. Pattern Anal. Appl. Nuha Zamzami, Nizar Bouguila
2023	—	`conf`	Adaptive Constrained ICAMGGMM: An Improvement Over ICA. SNAMS Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions. HPCC/DSS/SmartCity/DependSys Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila, Manar Amayri
2023	—	`conf`	Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models. CIIS Mohamed Bouzid, Manar Amayri, Nizar Bouguila
2023	C	`conf`	Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions. ICMLA Pantea Koochemeshkian, Nizar Bouguila
2023	—	`conf`	Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context. CIIS Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila, Frédéric Wurtz, Benoit Delinchant
2023	J	`jnl`	Automatic Counting of Planting Microsites via Local Visual Detection and Global Count Estimation. IEEE Trans. Emerg. Top. Comput. Intell. Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
2023	J	`jnl`	Automatic counting of planting microsites via local visual detection and global count estimation. CoRR Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
2023	—	`conf`	Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. ICAISC (2) Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
2023	J	`jnl`	Bayesian Matrix Factorization for Semibounded Data. IEEE Trans. Neural Networks Learn. Syst. Oumayma Dalhoumi, Nizar Bouguila, Manar Amayri, Wentao Fan
2023	J	`jnl`	Bounded multivariate generalized Gaussian mixture model using ICA and IVA. Pattern Anal. Appl. Ali Algumaei, Muhammad Azam, Fatma Najar, Nizar Bouguila
2023	—	`conf`	Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness. CRV Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila
2023	J	`jnl`	Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling. IEEE Trans. Neural Networks Learn. Syst. Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
2023	J	`jnl`	Continuous image anomaly detection based on contrastive lifelong learning. Appl. Intell. Wentao Fan, Weimin Shangguan, Nizar Bouguila
2023	J	`jnl`	Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications. Appl. Intell. Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila
2023	—	`conf`	CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud. CRV Sneha Paul, Zachary Patterson, Nizar Bouguila
2023	J	`jnl`	Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration. J. Imaging Bingwei Ge, Fatma Najar, Nizar Bouguila
2023	J	`jnl`	Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings. IEEE Trans. Neural Networks Learn. Syst. Lin Yang, Wentao Fan, Nizar Bouguila
2023	—	`conf`	Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring. IEA/AIE (2) Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. ACIIDS (Companion) Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation. Expert Syst. J. Knowl. Eng. Michael Osadebey, Marius Pedersen, Meeta Kalra, Dag Waaler, Nizar Bouguila
2023	B	`conf`	Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. SMC Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	Expectation propagation learning of finite and infinite Gamma mixture models and its applications. Multim. Tools Appl. Sami Bourouis, Nizar Bouguila
2023	B	`conf`	Explainable Robust Smart Meter Data Clustering for Improved Energy Management. SMC Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. ACIIDS (1) Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
2023	Misc	`conf`	Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. SAC Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
2023	—	`conf`	Generalized Dirichlet-Multinomial Regression: Leveraging Arbitrary Features for Topic Modelling. HPCC/DSS/SmartCity/DependSys Pantea Koochemeshkian, Nizar Bouguila
2023	C	`conf`	Generalized Probabilistic Clustering Projection Models for Discrete Data. ISNCC Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila
2023	J	`jnl`	Graph Neural Networks for Intelligent Transportation Systems: A Survey. IEEE Trans. Intell. Transp. Syst. Saeed Rahmani, Asiye Baghbani, Nizar Bouguila, Zachary Patterson
2023	—	`conf`	HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings. SMARTGREENS Fatemeh Rezapoor Nikroo, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	Human Activity Recognition with an HMM-Based Generative Model. Sensors Narges Manouchehri, Nizar Bouguila
2023	—	`conf`	Human Age Prediction Based on Brain MRI Using Density-Based Regression. ICIT Ornela Bregu, Nuha Zamzami, Nizar Bouguila
2023	J	`jnl`	ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models. Eng. Appl. Artif. Intell. Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	C	`conf`	Invertible Neural Network-Based Video Compression. ICPRAM Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila
2023	C	`conf`	Iterative Feature Boosting for Explainable Speech Emotion Recognition. ICMLA Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2023	J	`jnl`	Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data. IEEE Internet Things J. Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
2023	—	`conf`	Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications. ICIT Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
2023	—	`conf`	MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images. CVPR Workshops Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila, Riad I. Hammoud
2023	—	`conf`	Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting. ITSC Mohamed Chaaben, Asiye Baghbani, Nizar Bouguila, Zachary Patterson
2023	B	`conf`	Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. SMC Oussama Sghaier, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Novel Topic Models for Content Based Recommender Systems. ICEIS (1) Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	Occupancy estimation in smart buildings using predictive modeling in imbalanced domains. J. Ambient Intell. Humaniz. Comput. Jiaxun Guo, Manar Amayri, Fatma Najar, Wentao Fan, Nizar Bouguila
2023	J	`jnl`	On smoothing and scaling language model for sentiment based information retrieval. Adv. Data Anal. Classif. Fatma Najar, Nizar Bouguila
2023	J	`jnl`	Online short text clustering using infinite extensions of discrete mixture models. Comput. Intell. Samar Hannachi, Fatma Najar, Hafsa Ennajari, Nizar Bouguila
2023	—	`conf`	Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks. ITSC Asiye Baghbani, Saeed Rahmani, Nizar Bouguila, Zachary Patterson
2023	B	`conf`	Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. SMC Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila
2023	C	`conf`	Semantic Segmentation Using Transfer Learning on Fisheye Images. ICMLA Sneha Paul, Zachary Patterson, Nizar Bouguila
2023	C	`conf`	Sentiment Analysis Using Smoothed Probabilistic-Based Models. CoDIT Fatma Najar, Nizar Bouguila
2023	—	`conf`	Tree Health Assessment from UAV Images: Improving Object Detection and Classification Using Hard Negative Mining and Semi-Supervised Autoencoder. CRV Hela Jemaa, Wassim Bouachir, Brigitte Leblon, Armand LaRocque, Ata Haddadi, Nizar Bouguila
2023	J	`jnl`	UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment. Remote. Sens. Hela Jemaa, Wassim Bouachir, Brigitte Leblon, Armand LaRocque, Ata Haddadi, Nizar Bouguila
2023	—	`conf`	Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers. ICIIT Viet Tra, Hussein Al-Bazzaz, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications. Cybern. Syst. Sami Bourouis, Nizar Bouguila
2023	B	`conf`	Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach. ICTAI Ornela Bregu, Nizar Bouguila
2023	J	`jnl`	Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency. Sensors Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	Unsupervised nested Dirichlet finite mixture model for clustering. Appl. Intell. Fares Alkhawaja, Nizar Bouguila
2022	J	`jnl`	A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning. Neural Comput. Appl. Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson
2022	—	`conf`	A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications. ICIT Narges Manouchehri, Nizar Bouguila
2022	J	`jnl`	A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models. Appl. Artif. Intell. Xuanbo Su, Nuha Zamzami, Nizar Bouguila
2022	C	`conf`	A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data. IEA/AIE Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
2022	—	`conf`	A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions. ISIE Ali Baghdadi, Narges Manouchehri, Nizar Bouguila
2022	J	`jnl`	A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications. Int. J. Semantic Comput. Narges Manouchehri, Nizar Bouguila
2022	J	`jnl`	A novel feature selection method using generalized inverted Dirichlet-based HMMs for image categorization. Int. J. Mach. Learn. Cybern. Rim Nasfi, Nizar Bouguila
2022	C	`conf`	Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. ICMLA Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
2022	J	`jnl`	Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. CoRR Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
2022	—	`conf`	Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval. SSCI Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila
2022	—	`conf`	Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures. ICIT Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson
2022	—	`conf`	Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data. SSCI Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
2022	C	`conf`	CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks. ICMLA Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
2022	J	`jnl`	Clustering Analysis via Deep Generative Models With Mixture Models. IEEE Trans. Neural Networks Learn. Syst. Lin Yang, Wentao Fan, Nizar Bouguila
2022	J	`jnl`	Content modification of soccer videos using a supervised deep learning framework. Multim. Tools Appl. Vahid Khorasani Ghassab, Kamal Maanicshah, Paul Green, Nizar Bouguila
2022	A	`conf`	EVOLIoT: A Self-Supervised Contrastive Learning Framework for Detecting and Characterizing Evolving IoT Malware Variants. AsiaCCS Mirabelle Dib, Sadegh Torabi, Elias Bou-Harb, Nizar Bouguila, Chadi Assi
2022	B	`conf`	Embedded Spherical Topic Models for Supervised Learning. ICPR Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
2022	J	`jnl`	Emotion recognition: A smoothed Dirichlet multinomial solution. Eng. Appl. Artif. Intell. Fatma Najar, Nizar Bouguila
2022	J	`jnl`	Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures. Sensors Sami Bourouis, Yogesh Pawar, Nizar Bouguila
2022	J	`jnl`	Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling. Inf. Sci. Fatma Najar, Nizar Bouguila
2022	J	`jnl`	Expectation propagation learning of finite multivariate Beta mixture models and applications. Neural Comput. Appl. Narges Manouchehri, Nizar Bouguila, Wentao Fan
2022	—	`conf`	Explainable K-Means Clustering for Occupancy Estimation. FNC/MobiSPC/SEIT Kumar Prabhakaran, Jawher Dridi, Manar Amayri, Nizar Bouguila
2022	—	`conf`	Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection. ICIT Kian Ketabchi, Narges Manouchehri, Nizar Bouguila
2022	J	`jnl`	Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. Comput. Intell. Ali Baghdadi, Narges Manouchehri, Zachary Patterson, Wentao Fan, Nizar Bouguila
2022	—	`conf`	Improved Training for 3D Point Cloud Classification. S+SSPR Sneha Paul, Zachary Patterson, Nizar Bouguila
2022	—	`conf`	Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model. SSCI Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2022	—	`conf`	Indoor Activity Recognition Using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines. ICIT Rim Nasfi, Nizar Bouguila
2022	Misc	`conf`	Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. FLAIRS Narges Manouchehri, Nizar Bouguila
2022	—	`conf`	Interactive Generalized Dirichlet Mixture Allocation Model. S+SSPR Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2022	A	`conf`	Knowledge-enhanced Spherical Representation Learning for Text Classification. SDM Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
2022	J	`jnl`	Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Samr Ali, Nizar Bouguila
2022	—	`conf`	Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications. ICIT Narges Manouchehri, Nizar Bouguila
2022	J	`jnl`	Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length. Expert Syst. Appl. Muhammad Azam, Nizar Bouguila
2022	J	`jnl`	On Ransomware Family Attribution Using Pre-Attack Paranoia Activities. IEEE Trans. Netw. Serv. Manag. Ricardo Misael Ayala Molina, Sadegh Torabi, Khaled Sarieddine, Elias Bou-Harb, Nizar Bouguila, Chadi Assi
2022	J	`jnl`	Plug-and-Play video super-resolution using edge-preserving filtering. Comput. Vis. Image Underst. Vahid Khorasani Ghassab, Nizar Bouguila
2022	C	`conf`	Recurrent Neural Network-Based Video Compression. ICMLA Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila
2022	J	`jnl`	Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations. Knowl. Based Syst. Lin Yang, Wentao Fan, Nizar Bouguila
2022	—	`conf`	Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach. S+SSPR Rim Nasfi, Nizar Bouguila
2022	J	`jnl`	Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models. Pattern Anal. Appl. Bingwei Ge, Nizar Bouguila, Wentao Fan
2022	J	`jnl`	Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States. IEEE Trans. Artif. Intell. Fatma Najar, Nizar Bouguila
2022	J	`jnl`	Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions. IEEE Trans. Neural Networks Learn. Syst. Nuha Zamzami, Nizar Bouguila
2022	—	`conf`	Stochastic Expectation Propagation Learning for Unsupervised Feature Selection. ICCCI (CCIS Volume) Wentao Fan, Manar Amayri, Nizar Bouguila
2022	J	`jnl`	Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model. ACM Trans. Knowl. Discov. Data Koffi Eddy Ihou, Manar Amayri, Nizar Bouguila
2022	J	`jnl`	Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers. J. Comput. Civ. Eng. Ghazaleh Torabi, Amin Hammad, Nizar Bouguila
2022	J	`jnl`	Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions. IEEE Trans. Pattern Anal. Mach. Intell. Wentao Fan, Lin Yang, Nizar Bouguila
2022	J	`jnl`	Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning. Sensors Omar Bouhamed, Manar Amayri, Nizar Bouguila
2021	J	`jnl`	A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis. IEEE Access Sami Bourouis, Hassen Sallay, Nizar Bouguila
2021	Misc	`conf`	A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution. IRI Narges Manouchehri, Ali Baghdadi, Nizar Bouguila
2021	J	`jnl`	A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings. IEEE Trans. Consumer Electron. Jiaxun Guo, Manar Amayri, Nizar Bouguila, Wentao Fan
2021	Misc	`conf`	A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models. IRI Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
2021	J	`jnl`	A statistical framework for few-shot action recognition. Multim. Tools Appl. Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila
2021	J	`jnl`	BLOCK-DBSCAN: Fast clustering for large scale data. Pattern Recognit. Yewang Chen, Lida Zhou, Nizar Bouguila, Cheng Wang, Yi Chen, Jixiang Du
2021	C	`conf`	Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. ICMLA Narges Manouchehri, Nizar Bouguila, Wentao Fan
2021	J	`jnl`	Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications. Pattern Anal. Appl. Narges Manouchehri, Nizar Bouguila, Wentao Fan
2021	J	`jnl`	Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images. J. Imaging Sami Bourouis, Abdullah Alharbi, Nizar Bouguila
2021	J	`jnl`	Bayesian inference for infinite asymmetric Gaussian mixture with feature selection. Soft Comput. Ziyang Song, Samr Ali, Nizar Bouguila
2021	—	`conf`	Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications. IEA/AIE (1) Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
2021	B	`conf`	Clustering Count Data with Stochastic Expectation Propagation. ACIIDS Xavier Sumba, Nuha Zamzami, Nizar Bouguila
2021	A*	`conf`	Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models. SIGIR Wentao Fan, Zhiyan Guo, Nizar Bouguila, Wenjuan Hou
2021	—	`conf`	Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering. IEA/AIE (1) Samar Hannachi, Fatma Najar, Koffi Eddy Ihou, Nizar Bouguila
2021	J	`jnl`	Color object segmentation and tracking using flexible statistical model and level-set. Multim. Tools Appl. Sami Bourouis, Ines Channoufi, Roobaea Alroobaea, Saeed Rubaiee, Murad Andejany, Nizar Bouguila
2021	Misc	`conf`	Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models. FLAIRS Xuanbo Su, Nizar Bouguila, Nuha Zamzami
2021	J	`jnl`	Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition. Sensors Fahd S. Alharithi, Ahmed H. Almulihi, Sami Bourouis, Roobaea Alroobaea, Nizar Bouguila
2021	J	`jnl`	Efficient Feature Mapping in Classifying Proportional Data. IEEE Access Md. Hafizur Rahman, Nizar Bouguila
2021	B	`conf`	Efficient Parameter Based Online Object Tracking. IJCNN Md. Hafizur Rahman, Samr Ali, Nizar Bouguila
2021	J	`jnl`	Efficient integration of generative topic models into discriminative classifiers using robust probabilistic kernels. Pattern Anal. Appl. Koffi Eddy Ihou, Nizar Bouguila, Wassim Bouachir
2021	B	`conf`	Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model. ACIIDS Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Wentao Fan
2021	Misc	`conf`	Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. FLAIRS Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan
2021	—	`conf`	Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning. ISVC (2) Vahid Khorasani Ghassab, Nizar Bouguila
2021	—	`conf`	Inverted Dirichlet State Space Model for Time Series Forecasting. ISIE Omar Graja, Fatma Najar, Manar Amayri, Nizar Bouguila
2021	Misc	`conf`	Jointly smoothing word embedding and text representation. IRI Fatma Najar, Nizar Bouguila
2021	J	`jnl`	Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models. IEEE Access Sami Bourouis, Roobaea Alroobaea, Saeed Rubaiee, Murad Andejany, Fahad M. Almansour, Nizar Bouguila
2021	B	`conf`	Mixture-Based Unsupervised Learning for Positively Correlated Count Data. ACIIDS Ornela Bregu, Nuha Zamzami, Nizar Bouguila
2021	J	`jnl`	Mixture-based clustering for count data using approximated Fisher Scoring and Minorization-Maximization approaches. Comput. Intell. Ornela Bregu, Nuha Zamzami, Nizar Bouguila
2021	—	`conf`	Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model. EUSIPCO Zixiang Xian, Muhammad Azam, Manar Amayri, Nizar Bouguila
2021	J	`jnl`	Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection. Expert Syst. J. Knowl. Eng. Muhammad Azam, Nizar Bouguila
2021	J	`jnl`	Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis. Int. J. Imaging Syst. Technol. Sami Bourouis, Nizar Bouguila
2021	J	`jnl`	Nonparametric variational learning of multivariate beta mixture models in medical applications. Int. J. Imaging Syst. Technol. Narges Manouchehri, Nizar Bouguila, Wentao Fan
2021	J	`jnl`	Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions. Remote. Sens. Ahmed H. Almulihi, Fahd S. Alharithi, Sami Bourouis, Roobaea Alroobaea, Yogesh Pawar, Nizar Bouguila
2021	J	`jnl`	On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach. IEEE Access Behnam Farsi, Manar Amayri, Nizar Bouguila, Ursula Eicker
2021	J	`jnl`	Online Learning of Finite and Infinite Gamma Mixture Models for COVID-19 Detection in Medical Images. Comput. Hassen Sallay, Sami Bourouis, Nizar Bouguila
2021	—	`conf`	Online Variational Learning of Shifted Scaled Dirichlet Mixture. ISIE Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila
2021	J	`jnl`	Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution. Knowl. Based Syst. Ornela Bregu, Nuha Zamzami, Nizar Bouguila
2021	J	`jnl`	Online variational inference on finite multivariate Beta mixture models for medical applications. IET Image Process. Narges Manouchehri, Meeta Kalra, Nizar Bouguila
2021	—	`conf`	Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models. ICIT Yogesh Pawar, Manar Amayri, Nizar Bouguila
2021	J	`jnl`	Plug-and-Play video reconstruction using sparse 3D transform-domain block matching. Mach. Vis. Appl. Vahid Khorasani Ghassab, Nizar Bouguila
2021	—	`conf`	Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model. ACIIDS (Companion) Samar Hannachi, Fatma Najar, Nizar Bouguila
2021	J	`jnl`	Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models. Pattern Recognit. Wentao Fan, Ru Wang, Nizar Bouguila
2021	—	`conf`	Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge. ICDAR (2) Fatma Najar, Nizar Bouguila
2021	C	`conf`	Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation. ADMA Fatma Najar, Nizar Bouguila
2021	—	`conf`	Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field. ICIT Muhammad Azam, Jai Puneet Singh, Nizar Bouguila
2021	Misc	`conf`	Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition. IRI Zixiang Xian, Muhammad Azam, Nizar Bouguila
2021	C	`conf`	Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis. IECON Narges Manouchehri, Nizar Bouguila
2021	J	`jnl`	Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting. Wirel. Pers. Commun. Kamal Maanicshah, Manar Amayri, Nizar Bouguila, Wentao Fan
2021	C	`conf`	Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. ISNCC Ahmed Rebei, Oumayma Dalhoumi, Narges Manouchehri, Ali Baghdadi, Manar Amayri, Nizar Bouguila
2020	Misc	`conf`	A Distribution-based Regression for Real-time COVID-19 Cases Detection from Chest X-ray and CT Images. IRI Nuha Zamzami, Pantea Koochemeshkian, Nizar Bouguila
2020	J	`jnl`	A Framework for Unsupervised Planning of Cellular Networks Using Statistical Machine Learning. IEEE Trans. Commun. Mohaned Chraiti, Ali Ghrayeb, Chadi Assi, Nizar Bouguila, Reinaldo A. Valenzuela
2020	B	`conf`	A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification. SMC Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila
2020	J	`jnl`	A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models. Soft Comput. Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith
2020	J	`jnl`	A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models. Knowl. Based Syst. Rim Nasfi, Manar Amayri, Nizar Bouguila
2020	J	`jnl`	A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference. Soft Comput. Shuai Fu, Nizar Bouguila
2020	C	`conf`	An Effective Hybrid Anomaly Detection System Based on Mixture Models. ISNCC Yogesh Pawar, Nuha Zamzami, Nizar Bouguila
2020	Misc	`conf`	Background Subtraction with a Hierarchical Pitman-Yor Process Mixture Model of Generalized Gaussian Distributions. IRI Srikanth Amudala, Samr Ali, Nizar Bouguila
2020	J	`jnl`	Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection. IET Image Process. Ziyang Song, Samr Ali, Nizar Bouguila
2020	J	`jnl`	Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification. Int. J. Imaging Syst. Technol. Roobaea Alroobaea, Saeed Rubaiee, Sami Bourouis, Nizar Bouguila, Abdulmajeed Alsufyani
2020	C	`conf`	Bivariate Beta Regression Model and Its Medical Applications. ISNCC Pantea Koochemeshkian, Narges Manouchehri, Nizar Bouguila
2020	B	`conf`	Distribution-based Regression Models for Semi-Bounded Data Analysis. SMC Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila
2020	Misc	`conf`	Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition. ATSIP Fatma Najar, Sami Bourouis, Marwan Alshar'e, Roobaea Alroobaea, Nizar Bouguila, Ali H. Al-Badi, Ines Channoufi
2020	J	`jnl`	Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis. Cybern. Syst. Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila
2020	Misc	`conf`	Fully Bayesian Learning of Multivariate Beta Mixture Models. IRI Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila
2020	—	`conf`	Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting. ISVC (1) Omar Graja, Fatma Najar, Nizar Bouguila
2020	—	`conf`	Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model. Canadian AI Fatma Najar, Nizar Bouguila
2020	J	`jnl`	High-dimensional count data clustering based on an exponential approximation to the multinomial Beta-Liouville distribution. Inf. Sci. Nuha Zamzami, Nizar Bouguila
2020	—	`conf`	Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures. ISVC (2) Fatma Najar, Nizar Bouguila
2020	—	`conf`	Improving Classification Using Topic Correlation and Expectation Propagation. Canadian AI Xavier Sumba, Nizar Bouguila
2020	Misc	`conf`	Improving the EDCM Mixture Model with Expectation Propagation. FLAIRS Xavier Sumba, Nuha Zamzami, Nizar Bouguila
2020	B	`conf`	Instance-Based Learning for Human Action Recognition. SMC Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila
2020	B	`conf`	Inverted Dirichlet and Related Distributions Based Feature Mapping for Data Classification. SMC Md. Hafizur Rahman, Nizar Bouguila
2020	J	`jnl`	Light Field Super-Resolution Using Edge-Preserved Graph-Based Regularization. IEEE Trans. Multim. Vahid Khorasani Ghassab, Nizar Bouguila
2020	Misc	`conf`	MCMC-Based Learning of Finite Bivariate Beta Mixture Models. FLAIRS Maryam Rasti, Narges Manouchehri, Nizar Bouguila
2020	B	`conf`	Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling. SMC Samr Ali, Nizar Bouguila
2020	J	`jnl`	Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions. IEEE Trans. Neural Networks Learn. Syst. Wentao Fan, Nizar Bouguila
2020	J	`jnl`	Multimodal action recognition using variational-based Beta-Liouville hidden Markov models. IET Image Process. Samr Ali, Nizar Bouguila
2020	J	`jnl`	Multivariate bounded support Laplace mixture model. Soft Comput. Muhammad Azam, Nizar Bouguila
2020	J	`jnl`	New Methods and Approaches in Decision and Control of Intelligent and Cyber Systems. Cybern. Syst. Maria Pia Fanti, Moêz Soltani, Nizar Bouguila, Achraf Jabeur Telmoudi
2020	J	`jnl`	Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution. Digit. Signal Process. Ziyang Song, Samr Ali, Nizar Bouguila, Wentao Fan
2020	C	`conf`	On Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Data. MMSP Samr Ali, Nizar Bouguila
2020	B	`conf`	Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition. ICIP Samr Ali, Nizar Bouguila
2020	J	`jnl`	Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions. Inf. Syst. Frontiers Narges Manouchehri, Hieu Nguyen, Pantea Koochemeshkian, Nizar Bouguila, Wentao Fan
2020	J	`jnl`	Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis. Int. J. Imaging Syst. Technol. Meeta Kalra, Nizar Bouguila, Wentao Fan
2020	C	`conf`	Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation. ISNCC Yogesh Pawar, Manar Amayri, Nizar Bouguila
2020	C	`conf`	Probabilistic Features on Simplex Manifold in Predictive Data Modelling. ISNCC Md. Hafizur Rahman, Nizar Bouguila
2020	J	`jnl`	Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior. ACM Trans. Knowl. Discov. Data Nuha Zamzami, Nizar Bouguila
2020	J	`jnl`	Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions. Comput. Intell. Nuha Zamzami, Rua Alsuroji, Oboh Eromonsele, Nizar Bouguila
2020	C	`conf`	REP-Model: A deep learning framework for replacing ad billboards in soccer videos. ISM Vahid Khorasani Ghassab, Kamal Maanicshah, Nizar Bouguila, Paul Green
2020	C	`conf`	Recognition of human interactions in feature films based on infinite mixture of EDCM. ISNCC Fatma Najar, Nuha Zamzami, Nizar Bouguila
2020	J	`jnl`	Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis. Knowl. Based Syst. Wentao Fan, Lin Yang, Nizar Bouguila, Yewang Chen
2020	J	`jnl`	Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications. Appl. Soft Comput. Victor Hugo C. de Albuquerque, Deepak Gupta, Ivanoe De Falco, Giovanna Sannino, Nizar Bouguila
2020	J	`jnl`	Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions. Eng. Appl. Artif. Intell. Wentao Fan, Nizar Bouguila
2020	J	`jnl`	Stochastic topic models for large scale and nonstationary data. Eng. Appl. Artif. Intell. Koffi Eddy Ihou, Nizar Bouguila
2020	J	`jnl`	Supervised dimensionality reduction of proportional data using mixture estimation. Pattern Recognit. Walid Masoudimansour, Nizar Bouguila
2020	B	`conf`	Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection. SMC Srikanth Amudala, Samr Ali, Nizar Bouguila
2020	—	`conf`	Variational learning of a shifted scaled Dirichlet model with component splitting approach. AI4I Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila
2019	J	`jnl`	A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation. Pattern Recognit. Nuha Zamzami, Nizar Bouguila
2019	—	`conf`	A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions. ICEIS (1) Narges Manouchehri, Nizar Bouguila
2019	—	`conf`	A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings. ISC2 Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2019	—	`conf`	A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings. SSCI Manar Amayri, Stéphane Ploix, Fatma Najar, Nizar Bouguila, Frédéric Wurtz
2019	J	`jnl`	A nonparametric Bayesian learning model using accelerated variational inference and feature selection. Pattern Anal. Appl. Wentao Fan, Nizar Bouguila, Xin Liu
2019	J	`jnl`	A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models. Neurocomputing Can Hu, Wentao Fan, Ji-Xiang Du, Nizar Bouguila
2019	—	`conf`	An Accurate Evaluation of MSD Log-likelihood and its Application in Human Action Recognition. GlobalSIP Nuha Zamzami, Nizar Bouguila
2019	C	`conf`	An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures. CoDIT Fahdah Alalyan, Nuha Zamzami, Manar Amayri, Nizar Bouguila
2019	—	`conf`	An embedding framework for video reconstruction using Gaussian mixture models. GlobalSIP Vahid Khorasani Ghassab, Nizar Bouguila
2019	J	`jnl`	Artificial Intelligence for Mobile Health Data Analysis and Processing. Mob. Inf. Syst. Giovanna Sannino, Nizar Bouguila, Giuseppe De Pietro, Antonio Celesti
2019	J	`jnl`	Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions. IEEE Trans. Neural Networks Learn. Syst. Wentao Fan, Nizar Bouguila, Ji-Xiang Du, Xin Liu
2019	—	`conf`	Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction. ICIAR (1) Ziyang Song, Samr Ali, Nizar Bouguila
2019	J	`jnl`	Bayesian frameworks for traffic scenes monitoring via view-based 3D cars models recognition. Multim. Tools Appl. Sami Bourouis, Yacine Laalaoui, Nizar Bouguila
2019	J	`jnl`	Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures. Soft Comput. Sami Bourouis, Faisal R. Al-Osaimi, Nizar Bouguila, Hassen Sallay, Fahd M. Aldosari, Mohamed Al Mashrgy
2019	C	`conf`	Beta-Liouville Regression and Applications. CoDIT Divya Ankam, Nizar Bouguila, Manar Amayri
2019	J	`jnl`	Bounded Generalized Gaussian Mixture Model with ICA. Neural Process. Lett. Muhammad Azam, Nizar Bouguila
2019	—	`conf`	Color Image Segmentation Using Generalized Inverted Dirichlet Finite Mixture Models By Integrating Spatial Information. ISIE Jaspreet Singh Kalsi, Nizar Bouguila
2019	—	`conf`	Component Splitting-based Approach for Multivariate Beta Mixture Models Learning. GlobalSIP Narges Manouchehri, Hieu Nguyen, Nizar Bouguila
2019	J	`jnl`	Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery. IEEE Access Wassim Bouachir, Koffi Eddy Ihou, Houssem-Eddine Gueziri, Nizar Bouguila, Nicolas Bélanger
2019	Misc	`conf`	Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models. IRI Hieu Nguyen, Meeta Kalra, Muhammad Azam, Nizar Bouguila
2019	—	`conf`	Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting. ICIAR (2) Hieu Nguyen, Kamal Maanicshah, Muhammad Azam, Nizar Bouguila
2019	—	`conf`	Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models. ISIE Hieu Nguyen, Muhammad Azam, Nizar Bouguila
2019	J	`jnl`	Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs - A practical study. Pattern Recognit. Elise Epaillard, Nizar Bouguila
2019	J	`jnl`	Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification. IEEE Access Sami Bourouis, Atef Zaguia, Nizar Bouguila, Roobaea Alroobaea
2019	—	`conf`	Distribution Based Feature Mapping for Classifying Count Data. SSCI Md. Hafizur Rahman, Nizar Bouguila
2019	—	`conf`	Dynamic Texture Recognition using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines. GlobalSIP Samr Ali, Nizar Bouguila
2019	—	`conf`	Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution. SSCI Masoud Daghyani, Nuha Zamzami, Nizar Bouguila
2019	J	`jnl`	Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments. IEEE Access Manar Amayri, Stéphane Ploix, Nizar Bouguila, Frédéric Wurtz
2019	Misc	`conf`	Fake News Detection Using Bayesian Inference. IRI Fatma Najar, Nuha Zamzami, Nizar Bouguila
2019	J	`jnl`	Fast neighbor search by using revised Inf. Sci. Yewang Chen, Lida Zhou, Yi Tang, Jai Puneet Singh, Nizar Bouguila, Cheng Wang, Hua-zhen Wang, Ji-Xiang Du
2019	—	`conf`	Finite Inverted Dirichlet Mixture Optimal Pixel Predictor. GlobalSIP Omar Graja, Nizar Bouguila
2019	—	`conf`	Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. ISIE Narges Manouchehri, Jaspreet Singh Kalsi, Manar Amayri, Nizar Bouguila
2019	—	`conf`	Generalized Dirichlet Regression and other Compositional Models with Application to Market-share Data Mining of Information Technology Companies. ICEIS (1) Divya Ankam, Nizar Bouguila
2019	C	`conf`	Hybrid Generative-Discriminative Generalized Dirichlet-Based Hidden Markov Models with Support Vector Machines. ISM Samr Ali, Nizar Bouguila
2019	J	`jnl`	Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models. Appl. Intell. Nuha Zamzami, Nizar Bouguila
2019	—	`conf`	Learning of Multivariate Beta Mixture Models via Entropy-based component splitting. SSCI Narges Manouchehri, Maryam Rahmanpour, Nizar Bouguila, Wentao Fan
2019	J	`jnl`	Model selection and application to high-dimensional count data clustering - via finite EDCM mixture models. Appl. Intell. Nuha Zamzami, Nizar Bouguila
2019	—	`conf`	Model-Based Hierarchical Clustering for Categorical Data. ISIE Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila
2019	J	`jnl`	Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection. IEEE Access Wajdi Alhakami, Abdullah Alharbi, Sami Bourouis, Roobaea Alroobaea, Nizar Bouguila
2019	J	`jnl`	Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions. IEEE Access Wentao Fan, Nizar Bouguila
2019	—	`conf`	Online Clustering for Estimating Occupancy in an Office Setting. ISIE Nuha Zamzami, Manar Amayri, Nizar Bouguila, Stéphane Ploix
2019	J	`jnl`	Simultaneous clustering and feature selection via nonparametric Pitman-Yor process mixture models. Int. J. Mach. Learn. Cybern. Wentao Fan, Nizar Bouguila
2019	Misc	`conf`	Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution. IRI Muhammad Azam, Nizar Bouguila
2019	—	`conf`	Unsupervised Image Categorization Based on Variational Autoencoder and Student's-T Mixture Model. SSCI Yu Zhang, Wentao Fan, Nizar Bouguila
2019	—	`conf`	Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting. ICIAR (2) Kamal Maanicshah, Samr Ali, Wentao Fan, Nizar Bouguila
2019	J	`jnl`	Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition. Multim. Tools Appl. Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith
2019	J	`jnl`	Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection. IEEE Trans. Neural Networks Learn. Syst. Elise Epaillard, Nizar Bouguila
2019	—	`conf`	Variational Inference of Finite Asymmetric Gaussian Mixture Models. SSCI Ziyang Song, Ornela Bregu, Samr Ali, Nizar Bouguila
2019	—	`conf`	Variational Inference of Finite Generalized Gaussian Mixture Models. SSCI Srikanth Amudala, Samr Ali, Fatma Najar, Nizar Bouguila
2019	—	`conf`	Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach. ISIE Kamal Maanicshah, Nizar Bouguila, Wentao Fan
2019	—	`conf`	Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition. CVPR Workshops Samr Ali, Nizar Bouguila
2019	J	`jnl`	Variational-based latent generalized Dirichlet allocation model in the collapsed space and applications. Neurocomputing Koffi Eddy Ihou, Nizar Bouguila
2018	—	`conf`	A Bayesian Intrusion Detection Framework. Cyber Security Shuai Fu, Nizar Bouguila
2018	—	`conf`	A Finite Multi-Dimensional Generalized Gamma Mixture Model. iThings/GreenCom/CPSCom/SmartData Basim Alghabashi, Nizar Bouguila
2018	—	`conf`	A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition. CCECE Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith
2018	—	`conf`	A Flexible Statistical Model for Image Denoising. ICIAR Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni
2018	—	`conf`	A Novel Approach for Anomaly Event Detection in Videos Based on Autoencoders and SE Networks. ISIVC Jiangpeng Fu, Wentao Fan, Nizar Bouguila
2018	J	`jnl`	A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models. Neural Process. Lett. Wentao Fan, Can Hu, Ji-Xiang Du, Nizar Bouguila
2018	—	`conf`	A Smoothed Latent Generalized Dirichlet Allocation Model in the Collapsed Space. MWSCAS Koffi Eddy Ihou, Nizar Bouguila
2018	J	`jnl`	A fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data. Pattern Recognit. Yewang Chen, Shengyu Tang, Nizar Bouguila, Cheng Wang, Ji-Xiang Du, Hailin Li
2018	J	`jnl`	A purely Bayesian approach for proportional visual data modelling. Int. J. Intell. Eng. Informatics Sami Bourouis, Yacine Laalaoui, Nizar Bouguila
2018	—	`conf`	An Accelerated Variational Framework for Face Expression Recognition. BlackSeaCom Wentao Fan, Nizar Bouguila
2018	—	`conf`	Asymmetric Gaussian Mixtures with Reversible Jump MCMC. CCECE Shuai Fu, Nizar Bouguila
2018	C	`conf`	Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization. ICMLA Shuai Fu, Nizar Bouguila
2018	C	`conf`	Bayesian Learning of Finite Asymmetric Gaussian Mixtures. IEA/AIE Shuai Fu, Nizar Bouguila
2018	—	`conf`	Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model. MWSCAS Muhammad Azam, Nizar Bouguila
2018	C	`conf`	Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval. ICMLA Muhammad Azam, Nizar Bouguila
2018	—	`conf`	Breast Cancer Diagnosis using Quality Control Charts and Logistic Regression. ISIVC Omar Graja, Muhammad Azam, Nizar Bouguila
2018	Misc	`conf`	Color image segmentation with bounded generalized Gaussian mixture model and feature selection. ATSIP Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni
2018	Misc	`conf`	Compositional Data Analysis with PLS-DA and Security Applications. IRI Divya Ankam, Nizar Bouguila
2018	—	`conf`	Consumption Behavior Prediction Using Hierarchical Bayesian Frameworks. AI4I Nuha Zamzami, Nizar Bouguila
2018	C	`conf`	EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection. IEA/AIE Wentao Fan, Sami Bourouis, Nizar Bouguila, Fahd M. Aldosari, Hassen Sallay, K. M. Jamil Khayyat
2018	J	`jnl`	Entropy-based variational Bayes learning framework for data clustering. IET Image Process. Wentao Fan, Nizar Bouguila, Sami Bourouis, Yacine Laalaoui
2018	C	`conf`	Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML. ICMLA Basim Alghabashi, Nizar Bouguila
2018	—	`conf`	Hybrid Statistical Framework for Diabetic Retinopathy Detection. ICIAR Sami Bourouis, Atef Zaguia, Nizar Bouguila
2018	—	`conf`	Image Segmentation Using Inverted Dirichlet Mixture Model and Spatial Information. CCECE Jai Puneet Singh, Nizar Bouguila
2018	J	`jnl`	Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information. Multim. Tools Appl. Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni
2018	—	`conf`	Infinite Scaled Dirichlet Mixture Models for Spam Filtering via Bayesian and Variational Bayes Learning. iThings/GreenCom/CPSCom/SmartData Fahd M. Aldosari, Sami Bourouis, Nizar Bouguila, Hassen Sallay, Khalid M. Jamil Khayyat
2018	—	`conf`	Learning of Finite Two-Dimensional Beta Mixture Models. ISIVC Narges Manouchehri, Nizar Bouguila
2018	—	`conf`	MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models. Canadian AI Nuha Zamzami, Nizar Bouguila
2018	C	`conf`	Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model. ICMLA Rua Alsuroji, Nuha Zamzami, Nizar Bouguila
2018	—	`conf`	Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution. AI4I Rua Alsuroji, Nizar Bouguila, Nuha Zamzami
2018	A*	`conf`	Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs. ICDM Yewang Chen, Lida Zhou, Nizar Bouguila, Bineng Zhong, Fei Wu, Zhen Lei, Ji-Xiang Du, Hailin Li
2018	C	`conf`	Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation. ICISP Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni
2018	Misc	`conf`	Speaker Verification Using Adapted Bounded Gaussian Mixture Model. IRI Muhammad Azam, Nizar Bouguila
2018	C	`conf`	Text Modeling Using Multinomial Scaled Dirichlet Distributions. IEA/AIE Nuha Zamzami, Nizar Bouguila
2018	—	`conf`	Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM. ICIAR Fatma Najar, Sami Bourouis, Atef Zaguia, Nizar Bouguila, Safya Belghith
2018	C	`conf`	Visual Scene Reconstruction Using a Bayesian Learning Framework. ICISP Sami Bourouis, Nizar Bouguila, Yexing Li, Muhammad Azam
2017	C	`conf`	A Comparison Between Different Gaussian-Based Mixture Models. AICCSA Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith
2017	Misc	`conf`	A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation. ICASSP Wentao Fan, Nizar Bouguila, Xin Liu
2017	—	`conf`	A new latent generalized dirichlet allocation model for image classification. IPTA Koffi Eddy Ihou, Nizar Bouguila
2017	Misc	`conf`	Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data. ICASSP Walid Masoudimansour, Nizar Bouguila
2017	—	`conf`	FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree. ICDM Workshops Yewang Chen, Jai Puneet Singh, Lida Zhou, Nizar Bouguila
2017	—	`conf`	Intrusion Detection Using Unsupervised Approach. AFRICATEK Jai Puneet Singh, Nizar Bouguila
2017	J	`jnl`	Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Wentao Fan, Hassen Sallay, Nizar Bouguila
2017	—	`conf`	Proportional data clustering using K-means algorithm: A comparison of different distances. ICIT Jai Puneet Singh, Nizar Bouguila
2017	J	`jnl`	Proportional data modeling via entropy-based variational bayes learning of mixture models. Appl. Intell. Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila, Ji-Xiang Du
2017	—	`conf`	Spatially constrained Generalized Dirichlet mixture model for image segmentation. MWSCAS Jai Puneet Singh, Nizar Bouguila
2017	—	`conf`	Spatially constrained non-Gaussian mixture model for image segmentation. CCECE Jai Puneet Singh, Nizar Bouguila
2017	—	`conf`	Unsupervised learning of finite mixtures using scaled dirichlet distribution and its application to software modules categorization. ICIT Bromensele Samuel Oboh, Nizar Bouguila
2017	C	`conf`	Video Forgery Detection Using a Bayesian RJMCMC-Based Approach. AICCSA Sami Bourouis, Faisal R. Al-Osaimi, Nizar Bouguila, Hassen Sallay, Fahd M. Aldosari, Mohamed Al Mashrgy
2016	J	`jnl`	A Bayesian analysis of spherical pattern based on finite Langevin mixture. Appl. Soft Comput. Ola Amayri, Nizar Bouguila
2016	—	`conf`	A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification. ISVC (2) Wentao Fan, Nizar Bouguila
2016	J	`jnl`	A latent Beta-Liouville allocation model. Expert Syst. Appl. Ali Shojaee Bakhtiari, Nizar Bouguila
2016	C	`conf`	A novel 3D model recognition approach using Pitman-Yor process mixtures of Beta-Liouville Distributions. ISCAS Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila
2016	J	`jnl`	A statistical framework for online learning using adjustable model selection criteria. Eng. Appl. Artif. Intell. Taoufik Bdiri, Nizar Bouguila, Djemel Ziou
2016	C	`conf`	Accelerated variational inference for Beta-Liouville mixture learning with application to 3D shapes recognition. CoDIT Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila, Ji-Xiang Du
2016	—	`conf`	Deformable models based object tracking: Challenges and current researches. ICMCS Ines Channoufi, Sami Bourouis, Kamel Hamrouni, Nizar Bouguila
2016	C	`conf`	Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data. MMSP Walid Masoudimansour, Nizar Bouguila
2016	B	`conf`	Infinite Langevin Mixture Modeling and Feature Selection. DSAA Ola Amayri, Nizar Bouguila
2016	J	`jnl`	Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models. Neural Process. Lett. Wentao Fan, Nizar Bouguila
2016	J	`jnl`	Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas. Pattern Recognit. Elise Epaillard, Nizar Bouguila
2016	C	`conf`	RJMCMC learning for clustering and feature selection of L2-normalized vectors. CoDIT Ola Amayri, Nizar Bouguila
2016	C	`conf`	Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model. ICISP Muhammad Azam, Nizar Bouguila
2016	J	`jnl`	Trust and Reputation of Web Services Through QoS Correlation Lens. IEEE Trans. Serv. Comput. Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar
2016	J	`jnl`	Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering. Appl. Intell. Taoufik Bdiri, Nizar Bouguila, Djemel Ziou
2016	J	`jnl`	Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications. Soft Comput. Wentao Fan, Hassen Sallay, Nizar Bouguila, Sami Bourouis
2016	—	`conf`	View-Based 3D Objects Recognition with Expectation Propagation Learning. ISVC (2) Adrien Bertrand, Faisal R. Al-Osaimi, Nizar Bouguila
2015	—	`conf`	3D object modeling and recognition via online hierarchical Pitman-yor process mixture learning. GlobalSIP Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila, Ji-Xiang Du
2015	C	`conf`	A Finite Gamma Mixture Model-Based Discriminative Learning Frameworks. ICMLA Faisal R. Al-Osaimi, Nizar Bouguila
2015	—	`ch.`	A Fully Bayesian Framework for Positive Data Clustering. Artificial Intelligence Applications in Information and Communication Technologies Mohamed Al Mashrgy, Nizar Bouguila
2015	—	`ch.`	A Statistical Framework for Mental Targets Search Using Mixture Models. Artificial Intelligence Applications in Information and Communication Technologies Taoufik Bdiri, Nizar Bouguila, Djemel Ziou
2015	J	`jnl`	A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection. Comput. Electr. Eng. Wentao Fan, Hassen Sallay, Nizar Bouguila, Sami Bourouis
2015	J	`jnl`	A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification. Soft Comput. Tarek Elguebaly, Nizar Bouguila
2015	—	`book`	Artificial Intelligence Applications in Information and Communication Technologies Artificial Intelligence Applications in Information and Communication Technologies Yacine Laalaoui, Nizar Bouguila
2015	J	`jnl`	Beyond hybrid generative discriminative learning: spherical data classification. Pattern Anal. Appl. Ola Amayri, Nizar Bouguila
2015	—	`conf`	Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution. ICIAR Walid Masoudimansour, Nizar Bouguila
2015	B	`conf`	Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions. ICIP Wentao Fan, Nizar Bouguila
2015	J	`jnl`	Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering. Eng. Appl. Artif. Intell. Wentao Fan, Nizar Bouguila
2015	J	`jnl`	Face detection and facial expression recognition using simultaneous clustering and feature selection via an expectation propagation statistical learning framework. Multim. Tools Appl. Wentao Fan, Nizar Bouguila
2015	C	`conf`	Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models. ICMLA Wentao Fan, Hassen Sallay, Nizar Bouguila, Ji-Xiang Du
2015	C	`conf`	Hybrid hidden Markov model for mixed continuous/continuous and discrete/continuous data modeling. MMSP Elise Epaillard, Nizar Bouguila
2015	J	`jnl`	Image and video spatial super-resolution via bandlet-based sparsity regularization and structure tensor. Signal Process. Image Commun. Ali Mosleh, Nizar Bouguila, A. Ben Hamza
2015	J	`jnl`	Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting. Digit. Signal Process. Tarek Elguebaly, Nizar Bouguila
2015	—	`conf`	Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model. SUM Mohamad Mehdi, Elise Epaillard, Nizar Bouguila, Jamal Bentahar
2015	—	`conf`	Semantic Scene Classification with Generalized Gaussian Mixture Models. ICIAR Tarek Elguebaly, Nizar Bouguila
2015	J	`jnl`	Semisupervised online learning of hierarchical structures for visual object classification. Multim. Tools Appl. Ali Shojaee Bakhtiari, Nizar Bouguila
2015	J	`jnl`	Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models. Image Vis. Comput. Tarek Elguebaly, Nizar Bouguila
2015	C	`conf`	Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models. ICMLA Wentao Fan, Nizar Bouguila
2015	—	`conf`	Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA. GlobalSIP Muhammad Azam, Nizar Bouguila
2015	—	`ch.`	Variational Learning of Finite Inverted Dirichlet Mixture Models and Applications. Artificial Intelligence Applications in Information and Communication Technologies Parisa Tirdad, Nizar Bouguila, Djemel Ziou
2014	—	`conf`	A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection. ICAIS Wentao Fan, Hassen Sallay, Nizar Bouguila, Sami Bourouis
2014	—	`conf`	A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach. ICAIS Tarek Elguebaly, Nizar Bouguila
2014	Misc	`conf`	A model-based discriminative framework for sets of positive vectors classification: Application to object categorization. ATSIP Nizar Bouguila
2014	J	`jnl`	A variational Bayes model for count data learning and classification. Eng. Appl. Artif. Intell. Ali Shojaee Bakhtiari, Nizar Bouguila
2014	—	`conf`	An Infinite Mixture Model of Generalized Inverted Dirichlet Distributions for High-Dimensional Positive Data Modeling. ICT-EurAsia Nizar Bouguila, Mohamed Al Mashrgy
2014	J	`jnl`	Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection. Mach. Vis. Appl. Tarek Elguebaly, Nizar Bouguila
2014	J	`jnl`	Bandlet-based sparsity regularization in video inpainting. J. Vis. Commun. Image Represent. Ali Mosleh, Nizar Bouguila, A. Ben Hamza
2014	J	`jnl`	Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection. Expert Syst. Appl. Sami Bourouis, Mohamed Al Mashrgy, Nizar Bouguila
2014	—	`conf`	Classifying Textures with Only 10 Visual-Words Using Hidden Markov Models with Dirichlet Mixtures. ICAIS Elise Epaillard, Nizar Bouguila, Djemel Ziou
2014	A	`conf`	Correlated multi-dimensional qos metrics for trust evaluation within web services. AAMAS Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar
2014	J	`jnl`	Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain. Int. J. Imaging Syst. Technol. Michael Osadebey, Nizar Bouguila, Douglas L. Arnold
2014	—	`conf`	Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling. ANNPR Elise Epaillard, Nizar Bouguila
2014	—	`conf`	Improving codebook generation for action recognition using a mixture of Asymmetric Gaussians. CIMSIVP Tarek Elguebaly, Nizar Bouguila
2014	—	`conf`	Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy. CRV Tarek Elguebaly, Nizar Bouguila
2014	J	`jnl`	Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications. Neural Process. Lett. Wentao Fan, Nizar Bouguila
2014	J	`jnl`	Object clustering and recognition using multi-finite mixtures for semantic classes and hierarchy modeling. Expert Syst. Appl. Taoufik Bdiri, Nizar Bouguila, Djemel Ziou
2014	—	`conf`	Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions. DASFAA Workshops Wentao Fan, Nizar Bouguila
2014	—	`conf`	Online Learning for Two Novel Latent Topic Models. ICT-EurAsia Ali Shojaee Bakhtiari, Nizar Bouguila
2014	J	`jnl`	Online redundant image elimination and its application to wireless capsule endoscopy. Signal Image Video Process. Chunyuan Li, A. Ben Hamza, Nizar Bouguila, Xinhong Wang, Fanhua Ming, Guohua Xiao
2014	J	`jnl`	Online variational learning of generalized Dirichlet mixture models with feature selection. Neurocomputing Wentao Fan, Nizar Bouguila
2014	J	`jnl`	Pre-run-time scheduling in real-time systems: Current researches and Artificial Intelligence perspectives. Expert Syst. Appl. Yacine Laalaoui, Nizar Bouguila
2014	J	`jnl`	Probabilistic approach for QoS-aware recommender system for trustworthy web service selection. Appl. Intell. Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar
2014	—	`conf`	QoS-Based Reputation Feedback Fusion under Unknown Correlation. ICAIS Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar
2014	—	`conf`	Reputation in Communities of Agent-Based Web Services Through Data Mining. ADMI Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar
2014	J	`jnl`	Robust simultaneous positive data clustering and unsupervised feature selection using generalized inverted Dirichlet mixture models. Knowl. Based Syst. Mohamed Al Mashrgy, Taoufik Bdiri, Nizar Bouguila
2014	J	`jnl`	Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications. Multim. Tools Appl. Wentao Fan, Nizar Bouguila
2014	J	`jnl`	Variational learning of finite Dirichlet mixture models using component splitting. Neurocomputing Wentao Fan, Nizar Bouguila, Djemel Ziou
2014	C	`conf`	Web Service Intrusion Detection Using a Probabilistic Framework. ICSEng Hassen Sallay, Sami Bourouis, Nizar Bouguila
2013	C	`conf`	A Bayesian Approach for the Classification of Mammographic Masses. DeSE Tarek Elguebaly, Nizar Bouguila
2013	—	`conf`	A Hierarchical Statistical Framework for the Extraction of Semantically Related Words in Textual Documents. RSKT Weijia Su, Djemel Ziou, Nizar Bouguila
2013	A	`conf`	A QoS-Based Trust Approach for Service Selection and Composition via Bayesian Networks. ICWS Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar
2013	—	`conf`	A statistical framework for positive data clustering with feature selection: Application to object detection. EUSIPCO Mohamed Al Mashrgy, Nizar Bouguila, Khalid Daoudi
2013	—	`conf`	Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection. RSKT Wentao Fan, Nizar Bouguila, Hassen Sallay
2013	J	`jnl`	Automatic Inpainting Scheme for Video Text Detection and Removal. IEEE Trans. Image Process. Ali Mosleh, Nizar Bouguila, Abdessamad Ben Hamza
2013	J	`jnl`	Bayesian learning of inverted Dirichlet mixtures for SVM kernels generation. Neural Comput. Appl. Taoufik Bdiri, Nizar Bouguila
2013	J	`jnl`	Deriving kernels from generalized Dirichlet mixture models and applications. Inf. Process. Manag. Nizar Bouguila
2013	—	`conf`	Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition. MLIS@IJCAI Wentao Fan, Nizar Bouguila
2013	J	`jnl`	Finite asymmetric generalized Gaussian mixture models learning for infrared object detection. Comput. Vis. Image Underst. Tarek Elguebaly, Nizar Bouguila
2013	J	`jnl`	Infinite Dirichlet mixture models learning via expectation propagation. Adv. Data Anal. Classif. Wentao Fan, Nizar Bouguila
2013	A*	`conf`	Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering. IJCAI Wentao Fan, Nizar Bouguila
2013	J	`jnl`	On online high-dimensional spherical data clustering and feature selection. Eng. Appl. Artif. Intell. Ola Amayri, Nizar Bouguila
2013	J	`jnl`	On the smoothing of multinomial estimates using Liouville mixture models and applications. Pattern Anal. Appl. Nizar Bouguila
2013	—	`conf`	Online Facial Expression Recognition Based on Finite Beta-Liouville Mixture Models. CRV Wentao Fan, Nizar Bouguila
2013	J	`jnl`	Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference. IEEE Trans. Neural Networks Learn. Syst. Wentao Fan, Nizar Bouguila
2013	B	`conf`	Online news topic detection and tracking via localized feature selection. IJCNN Ola Amayri, Nizar Bouguila
2013	J	`jnl`	Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models. Signal Process. Tarek Elguebaly, Nizar Bouguila
2013	—	`conf`	Spatio-temporal object recognition using variational learning of an infinite statistical model. EUSIPCO Wentao Fan, Nizar Bouguila
2013	J	`jnl`	The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI. Int. J. Imaging Syst. Technol. Michael Osadebey, Nizar Bouguila, Douglas L. Arnold
2013	J	`jnl`	Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference. IEEE Trans. Knowl. Data Eng. Wentao Fan, Nizar Bouguila, Djemel Ziou
2013	B	`conf`	Unsupervised feature selection for proportional data clustering via expectation propagation. IJCNN Wentao Fan, Nizar Bouguila
2013	J	`jnl`	Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection. Pattern Recognit. Wentao Fan, Nizar Bouguila
2013	B	`conf`	Variational learning of finite Beta-Liouville mixture models using component splitting. IJCNN Wentao Fan, Nizar Bouguila
2013	—	`conf`	Video background subtraction using online infinite dirichlet mixture models. EUSIPCO Wentao Fan, Nizar Bouguila
2013	B	`conf`	Visual Scenes Categorization Using a Flexible Hierarchical Mixture Model Supporting Users Ontology. ICTAI Taoufik Bdiri, Nizar Bouguila, Djemel Ziou
2013	—	`conf`	Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models. UDM@IJCAI Wentao Fan, Nizar Bouguila
2012	—	`conf`	A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification. ICONIP (2) Ali Shojaee Bakhtiari, Nizar Bouguila
2012	J	`jnl`	A countably infinite mixture model for clustering and feature selection. Knowl. Inf. Syst. Nizar Bouguila, Djemel Ziou
2012	J	`jnl`	A finite mixture model for simultaneous high-dimensional clustering, localized feature selection and outlier rejection. Expert Syst. Appl. Nizar Bouguila, Khaled Almakadmeh, Sabri Boutemedjet
2012	J	`jnl`	A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering. Expert Syst. Appl. Nizar Bouguila, Tarek Elguebaly
2012	—	`conf`	A variational component splitting approach for finite generalized Dirichlet mixture models. ICCIT Wentao Fan, Nizar Bouguila
2012	—	`conf`	A variational statistical framework for clustering human action videos. WIAMIS Wentao Fan, Nizar Bouguila
2012	C	`conf`	Content-based spam filtering using hybrid generative discriminative learning of both textual and visual features. ISCAS Ola Amayri, Nizar Bouguila
2012	—	`conf`	Face Detection and Facial Expression Recognition Using a Novel Variational Statistical Framework. MCSS Wentao Fan, Nizar Bouguila
2012	J	`jnl`	Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features. J. Vis. Commun. Image Represent. Tarek Elguebaly, Nizar Bouguila
2012	J	`jnl`	Hybrid Generative/Discriminative Approaches for Proportional Data Modeling and Classification. IEEE Trans. Knowl. Data Eng. Nizar Bouguila
2012	A	`conf`	Image Text Detection Using a Bandlet-Based Edge Detector and Stroke Width Transform. BMVC Ali Mosleh, Nizar Bouguila, A. Ben Hamza
2012	J	`jnl`	Infinite Liouville mixture models with application to text and texture categorization. Pattern Recognit. Lett. Nizar Bouguila
2012	C	`conf`	Medical image classification using birth-and-death MCMC. ISCAS Tarek Elguebaly, Nizar Bouguila
2012	—	`conf`	Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions. ICONIP (3) Wentao Fan, Nizar Bouguila
2012	J	`jnl`	Novel approaches for synthesizing video textures. Expert Syst. Appl. Wentao Fan, Nizar Bouguila
2012	C	`conf`	Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection. ACML Wentao Fan, Nizar Bouguila
2012	—	`conf`	Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application. ICMLA (1) Wentao Fan, Nizar Bouguila
2012	—	`conf`	Online variational finite Dirichlet mixture model and its applications. ISSPA Wentao Fan, Nizar Bouguila
2012	J	`jnl`	Online variational learning of finite Dirichlet mixture models. Evol. Syst. Wentao Fan, Nizar Bouguila
2012	J	`jnl`	Positive vectors clustering using inverted Dirichlet finite mixture models. Expert Syst. Appl. Taoufik Bdiri, Nizar Bouguila
2012	J	`jnl`	Spatial color image segmentation based on finite non-Gaussian mixture models. Expert Syst. Appl. Ali Sefidpour, Nizar Bouguila
2012	A	`conf`	Trustworthy Web Service Selection Using Probabilistic Models. ICWS Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar
2012	—	`conf`	Unsupervised Feature Selection for Spherical Data Modeling: Application to Image-Based Spam Filtering. MCSS Ola Amayri, Nizar Bouguila
2012	J	`jnl`	Variational Learning for Finite Dirichlet Mixture Models and Applications. IEEE Trans. Neural Networks Learn. Syst. Wentao Fan, Nizar Bouguila, Djemel Ziou
2012	C	`conf`	Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications. ADMA Wentao Fan, Nizar Bouguila
2012	J	`jnl`	Video Completion Using Bandlet Transform. IEEE Trans. Multim. Ali Mosleh, Nizar Bouguila, A. Ben Hamza
2011	—	`conf`	A Liouville-Based Approach for Discrete Data Categorization. RSFDGrC Nizar Bouguila
2011	—	`conf`	A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection. ICONIP (2) Mohamed Al Mashrgy, Nizar Bouguila, Khalid Daoudi
2011	—	`conf`	A Variational Statistical Framework for Object Detection. ICONIP (2) Wentao Fan, Nizar Bouguila, Djemel Ziou
2011	—	`conf`	A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation. CVPR Workshops Tarek Elguebaly, Nizar Bouguila
2011	A	`conf`	A video completion method based on bandlet transform. ICME Ali Mosleh, Nizar Bouguila, Abdessamad Ben Hamza
2011	B	`conf`	An Expandable Hierarchical Statistical Framework for Count Data Modeling and Its Application to Object Classification. ICTAI Ali Shojaee Bakhtiari, Nizar Bouguila
2011	—	`conf`	An Infinite Mixture of Inverted Dirichlet Distributions. ICONIP (2) Taoufik Bdiri, Nizar Bouguila
2011	J	`jnl`	An empirical evaluation of attribute control charts for monitoring defects. Expert Syst. Appl. Surath Aebtarm, Nizar Bouguila
2011	J	`jnl`	Bayesian hybrid generative discriminative learning based on finite Liouville mixture models. Pattern Recognit. Nizar Bouguila
2011	J	`jnl`	Bayesian learning of finite generalized Gaussian mixture models on images. Signal Process. Tarek Elguebaly, Nizar Bouguila
2011	B	`conf`	Count Data Clustering Using Unsupervised Localized Feature Selection and Outliers Rejection. ICTAI Nizar Bouguila
2011	J	`jnl`	Count Data Modeling and Classification Using Finite Mixtures of Distributions. IEEE Trans. Neural Networks Nizar Bouguila
2011	—	`conf`	Infinite Dirichlet Mixture Model and Its Application via Variational Bayes. ICMLA (1) Wentao Fan, Nizar Bouguila
2011	—	`conf`	Infinite Generalized Gaussian Mixture Modeling and Applications. ICIAR (1) Tarek Elguebaly, Nizar Bouguila
2011	—	`conf`	Learning Inverted Dirichlet Mixtures for Positive Data Clustering. RSFDGrC Taoufik Bdiri, Nizar Bouguila
2011	—	`conf`	Probabilistic clustering based on Langevin mixture. ICMLA (2) Ola Amayri, Nizar Bouguila
2011	J	`jnl`	Quantization-free parameter space reduction in ellipse detection. Expert Syst. Appl. Kuang Chung Chen, Nizar Bouguila, Djemel Ziou
2011	—	`conf`	Simultaneous Non-gaussian Data Clustering, Feature Selection and Outliers Rejection. PReMI Nizar Bouguila, Djemel Ziou, Sabri Boutemedjet
2011	—	`conf`	Spatial Finite Non-gaussian Mixture for Color Image Segmentation. ICONIP (3) Ali Sefidpour, Nizar Bouguila
2011	A*	`conf`	Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection. ICDM Wentao Fan, Nizar Bouguila, Djemel Ziou
2010	J	`jnl`	A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling. IEEE Trans. Neural Networks Nizar Bouguila, Djemel Ziou
2010	C	`conf`	A hierarchical statistical model for object classification. MMSP Ali Shojaee Bakhtiari, Nizar Bouguila
2010	J	`jnl`	A study of spam filtering using support vector machines. Artif. Intell. Rev. Ola Amayri, Nizar Bouguila
2010	J	`jnl`	An optimal bivariate Poisson field chart for controlling high-quality manufacturing processes. Expert Syst. Appl. Surath Aebtarm, Nizar Bouguila
2010	—	`conf`	Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images. ANNPR Tarek Elguebaly, Nizar Bouguila
2010	J	`jnl`	Discrete visual features modeling via leave-one-out likelihood estimation and applications. J. Vis. Commun. Image Represent. Nizar Bouguila, Mukti Nath Ghimire
2010	J	`jnl`	Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection. IEEE Trans. Circuits Syst. Video Technol. Mohand Saïd Allili, Djemel Ziou, Nizar Bouguila, Sabri Boutemedjet
2010	J	`jnl`	Integrating spatial and color information in images using a statistical framework. Expert Syst. Appl. Nizar Bouguila, Walid ElGuebaly
2010	J	`jnl`	Model-based subspace clustering of non-Gaussian data. Neurocomputing Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
2010	J	`jnl`	On multivariate binary data clustering and feature weighting. Comput. Stat. Data Anal. Nizar Bouguila
2010	—	`conf`	Unsupervised Feature Selection and Learning for Image Segmentation. CRV Mohand Saïd Allili, Djemel Ziou, Nizar Bouguila, Sabri Boutemedjet
2009	J	`jnl`	A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Sabri Boutemedjet, Nizar Bouguila, Djemel Ziou
2009	J	`jnl`	A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity. IEEE Trans. Knowl. Data Eng. Nizar Bouguila
2009	B	`conf`	A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization. PAKDD Nizar Bouguila, Djemel Ziou
2009	B	`conf`	A Statistical Approach for Binary Vectors Modeling and Clustering. PAKDD Nizar Bouguila, Khalid Daoudi
2009	J	`jnl`	A discrete mixture-based kernel for SVMs: Application to spam and image categorization. Inf. Process. Manag. Nizar Bouguila, Ola Amayri
2009	—	`conf`	An optimal bivariate Poisson field chart for monitoring defects. CCECE Surath Aebtarm, Nizar Bouguila
2009	J	`jnl`	Discrete data clustering using finite mixture models. Pattern Recognit. Nizar Bouguila, Walid ElGuebaly
2009	C	`conf`	Generating Video Textures by PPCA and Gaussian Process Dynamical Model. CIARP Wentao Fan, Nizar Bouguila
2009	C	`conf`	Improved Online Support Vector Machines Spam Filtering Using String Kernels. CIARP Ola Amayri, Nizar Bouguila
2009	C	`conf`	Learning concepts from visual scenes using a binary probabilistic model. MMSP Nizar Bouguila, Khalid Daoudi
2009	J	`jnl`	On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling. Pattern Anal. Appl. Nizar Bouguila, Djemel Ziou, Riad I. Hammoud
2009	B	`conf`	On Video Textures Generation: A Comparison Between Different Dimensionality Reduction Techniques. SMC Nizar Bouguila, Wentao Fan
2009	—	`conf`	Online Video Textures Generation. ISVC (2) Wentao Fan, Nizar Bouguila
2009	C	`conf`	Online spam filtering using support vector machines. ISCC Ola Amayri, Nizar Bouguila
2008	—	`conf`	A Statistical Model for Histogram Refinement. ICANN (1) Nizar Bouguila, Walid ElGuebaly
2008	Misc	`conf`	A generative model for spatial color image databases categorization. ICASSP Nizar Bouguila, Walid ElGuebaly
2008	J	`jnl`	Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions. IEEE Trans. Knowl. Data Eng. Nizar Bouguila
2008	J	`jnl`	Finite general Gaussian mixture modeling and application to image and video foreground segmentation. J. Electronic Imaging Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou
2008	B	`conf`	Non-Gaussian mixture image models prediction. ICIP Nizar Bouguila
2008	B	`conf`	On Discrete Data Clustering. PAKDD Nizar Bouguila, Walid ElGuebaly
2008	B	`conf`	Stochastic optimization approach for entropic image alignment. ISIT Waleed Mohamed, Ying Zhang, Abdessamad Ben Hamza, Nizar Bouguila
2007	A*	`conf`	A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling. CVPR Nizar Bouguila, Djemel Ziou, Riad I. Hammoud
2007	—	`conf`	A Graphical Model for Content Based Image Suggestion and Feature Selection. PKDD Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
2007	—	`conf`	A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling. CRV Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou
2007	—	`conf`	Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation. CRV Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou
2007	J	`jnl`	High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length. IEEE Trans. Pattern Anal. Mach. Intell. Nizar Bouguila, Djemel Ziou
2007	—	`conf`	Spatial Color Image Databases Summarization. ICASSP (1) Nizar Bouguila
2007	—	`conf`	Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data. NIPS Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
2007	—	`conf`	Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models. ICIAR Sabri Boutemedjet, Nizar Bouguila, Djemel Ziou
2007	J	`jnl`	Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization. J. Vis. Commun. Image Represent. Nizar Bouguila, Djemel Ziou
2006	J	`jnl`	A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture. IEEE Trans. Image Process. Nizar Bouguila, Djemel Ziou
2006	J	`jnl`	Online clustering via finite mixtures of Dirichlet and minimum message length. Eng. Appl. Artif. Intell. Nizar Bouguila, Djemel Ziou
2006	J	`jnl`	Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications. Stat. Comput. Nizar Bouguila, Djemel Ziou, Ernest Monga
2006	J	`jnl`	Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach. IEEE Trans. Knowl. Data Eng. Nizar Bouguila, Djemel Ziou
2005	—	`conf`	A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration. PReMI Nizar Bouguila, Djemel Ziou
2005	—	`conf`	A probabilistic approach for shadows modeling and detection. ICIP (1) Nizar Bouguila, Djemel Ziou
2005	—	`conf`	MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection. MLDM Nizar Bouguila, Djemel Ziou
2005	—	`conf`	MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture. CVPR Workshops Nizar Bouguila, Djemel Ziou
2005	—	`conf`	On Fitting Finite Dirichlet Mixture Using ECM and MML. ICAPR (1) Nizar Bouguila, Djemel Ziou
2005	J	`jnl`	Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications. Pattern Recognit. Lett. Nizar Bouguila, Djemel Ziou
2004	—	`conf`	A Powreful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications. ICPR (1) Nizar Bouguila, Djemel Ziou
2004	—	`conf`	Dirichlet-based probability model applied to human skin detection [image skin detection]. ICASSP (5) Nizar Bouguila, Djemel Ziou
2004	—	`conf`	Unsupervised Learning of a Finite Discrete Mixture Model Based on the Multinomial Dirichlet Distribution: Application to Texture Modeling. PRIS Nizar Bouguila, Djemel Ziou
2004	—	`conf`	Unsupervised Learning of a Finite Gamma Mixture Using MML: Application to SAR Image Analysis. ICPR (2) Djemel Ziou, Nizar Bouguila
2004	J	`jnl`	Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application. IEEE Trans. Image Process. Nizar Bouguila, Djemel Ziou, Jean Vaillancourt
2003	—	`conf`	Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification. MLDM Nizar Bouguila, Djemel Ziou, Jean Vaillancourt