Nizar Bouguila

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 347

Top Venues

ICMLA

ICIT

IRI

IEEE Trans. Neural Networks Learn. Syst.

Publications

Ahmed Rebei, Manar Amayri, Nizar Bouguila
FSNet: A Hybrid Model for Seasonal Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition. CoRR (2024)
Akinlolu Oluwabusayo Ojo, Nizar Bouguila
A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder. Pattern Recognit. 146 (2024)
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
Iterative Feature Boosting for Explainable Speech Emotion Recognition. CoRR (2024)
Sneha Paul, Zachary Patterson, Nizar Bouguila
DualMLP: a two-stream fusion model for 3D point cloud classification. Vis. Comput. 40 (8) (2024)
Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila
Generalizing Conditional Naive Bayes Model. ICEIS (1) (2024)
Skander Chouchene, Manar Amayri, Nizar Bouguila
Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring. ICHMS (2024)
Pardis Ghaziamin, Kairavi Bajaj, Nizar Bouguila, Zachary Patterson
A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera. ICSC (2024)
Fares Alkhawaja, Manar Amayri, Nizar Bouguila
Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. FLAIRS (2024)
Zahra Golpayegani, Nizar Bouguila
PatchSVD: A Non-uniform SVD-based Image Compression Algorithm. CoRR (2024)
Fares Alkhawaja, Manar Amayri, Nizar Bouguila
A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. FLAIRS (2024)
Farnaz Kashefinishabouri, Nizar Bouguila, Zachary Patterson
Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting. SMARTGREENS (2024)
Koffi Eddy Ihou, Nizar Bouguila
Big topic modeling based on a two-level hierarchical latent Beta-Liouville allocation for large-scale data and parameter streaming. Pattern Anal. Appl. 27 (1) (2024)
Lidan Zeng, Wentao Fan, Nizar Bouguila
Probabilistic rotation modeling based on directional mixture density networks. Inf. Sci. 662 (2024)
Maher Dissem, Manar Amayri, Nizar Bouguila
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. 11 (10) (2024)
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis. ICSC (2024)
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
Unveiling hidden factors: explainable AI for feature boosting in speech emotion recognition. Appl. Intell. 54 (11-12) (2024)
Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
A scaled dirichlet-based predictive model for occupancy estimation in smart buildings. Appl. Intell. 54 (11-12) (2024)
Ali Algumaei, Muhammad Azam, Nizar Bouguila
Novel approach for ECG separation using adaptive constrained IVABMGGMM. Digit. Signal Process. 149 (2024)
Sneha Paul, Zachary Patterson, Nizar Bouguila
.FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images. J. Imaging 10 (3) (2024)
Zahra Golpayegani, Nizar Bouguila
PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm. ICPRAM (2024)
Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila
Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data. FLAIRS (2024)
Maher Dissem, Manar Amayri, Nizar Bouguila
Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP). CCNC (2024)
Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness. CoRR (2024)
Zhiwen Luo, Manar Amayri, Wentao Fan, Koffi Eddy Ihou, Nizar Bouguila
Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications. Expert Syst. Appl. 238 (Part A) (2024)
Wentao Fan, Lin Yang, Nizar Bouguila
Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Oussama Sghaier, Manar Amayri, Nizar Bouguila
Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. SMC (2023)
Fares Alkhawaja, Nizar Bouguila
Unsupervised nested Dirichlet finite mixture model for clustering. Appl. Intell. 53 (21) (2023)
Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency. Sensors 23 (19) (2023)
Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. SAC (2023)
Wentao Fan, Weimin Shangguan, Nizar Bouguila
Continuous image anomaly detection based on contrastive lifelong learning. Appl. Intell. 53 (14) (2023)
Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. CoDIT (2023)
Sneha Paul, Zachary Patterson, Nizar Bouguila
CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud. CRV (2023)
Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. SMC (2023)
Mohamed Chaaben, Asiye Baghbani, Nizar Bouguila, Zachary Patterson
Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting. ITSC (2023)
Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila
Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. SMC (2023)
Samar Hannachi, Fatma Najar, Hafsa Ennajari, Nizar Bouguila
Online short text clustering using infinite extensions of discrete mixture models. Comput. Intell. 39 (5) (2023)
Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila
Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. ICAISC (2) (2023)
Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila
Generalized Probabilistic Clustering Projection Models for Discrete Data. ISNCC (2023)
Sneha Paul, Zachary Patterson, Nizar Bouguila
Semantic Segmentation Using Transfer Learning on Fisheye Images. ICMLA (2023)
Nuha Zamzami, Nizar Bouguila
A novel minorization-maximization framework for simultaneous feature selection and clustering of high-dimensional count data. Pattern Anal. Appl. 26 (1) (2023)
Bingwei Ge, Fatma Najar, Nizar Bouguila
Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration. J. Imaging 9 (9) (2023)
Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications. ICIT (2023)
Mohamed Bouzid, Manar Amayri, Nizar Bouguila
Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models. CIIS (2023)
Ornela Bregu, Nuha Zamzami, Nizar Bouguila
Human Age Prediction Based on Brain MRI Using Density-Based Regression. ICIT (2023)
Lin Yang, Wentao Fan, Nizar Bouguila
Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Viet Tra, Hussein Al-Bazzaz, Manar Amayri, Nizar Bouguila
Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers. ICIIT (2023)
Fatemeh Rezapoor Nikroo, Manar Amayri, Nizar Bouguila
HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings. SMARTGREENS (2023)
Saeed Rahmani, Asiye Baghbani, Nizar Bouguila, Zachary Patterson
Graph Neural Networks for Intelligent Transportation Systems: A Survey. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness. CRV (2023)
Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila, Manar Amayri
Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions. HPCC/DSS/SmartCity/DependSys (2023)
Jiaxun Guo, Manar Amayri, Fatma Najar, Wentao Fan, Nizar Bouguila
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains. J. Ambient Intell. Humaniz. Comput. 14 (8) (2023)
Kamal Maanicshah, Manar Amayri, Nizar Bouguila
Novel Topic Models for Content Based Recommender Systems. ICEIS (1) (2023)
Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila
A Selective Supervised Latent Beta-Liouville Allocation for Document Classification. IEA/AIE (1) (2023)
Ahmed Yasser Eita, Hafsa Ennajari, Nizar Bouguila
3D Multi-Views Object Classification Based on a Fully Generalized Dirichlet Allocation Model. ICIT (2023)
Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila, Frédéric Wurtz, Benoit Delinchant
Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context. CIIS (2023)
Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
Explainable Robust Smart Meter Data Clustering for Improved Energy Management. SMC (2023)
Hela Jemaa, Wassim Bouachir, Brigitte Leblon, Armand LaRocque, Ata Haddadi, Nizar Bouguila
UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment. Remote. Sens. 15 (14) (2023)
Sami Bourouis, Nizar Bouguila
Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications. Cybern. Syst. 54 (4) (2023)
Hela Jemaa, Wassim Bouachir, Brigitte Leblon, Armand LaRocque, Ata Haddadi, Nizar Bouguila
Tree Health Assessment from UAV Images: Improving Object Detection and Classification Using Hard Negative Mining and Semi-Supervised Autoencoder. CRV (2023)
Hamdi Barkous, Manar Amayri, Nizar Bouguila
A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting. HPCC/DSS/SmartCity/DependSys (2023)
Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila
Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) (2023)
Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. ACIIDS (Companion) (2023)
Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila
ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Pantea Koochemeshkian, Nizar Bouguila
Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions. ICMLA (2023)
Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
Automatic counting of planting microsites via local visual detection and global count estimation. CoRR (2023)
Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila
Invertible Neural Network-Based Video Compression. ICPRAM (2023)
Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data. IEEE Internet Things J. 10 (21) (2023)
Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
Automatic Counting of Planting Microsites via Local Visual Detection and Global Count Estimation. IEEE Trans. Emerg. Top. Comput. Intell. 7 (6) (2023)
Oumayma Dalhoumi, Nizar Bouguila, Manar Amayri, Wentao Fan
Bayesian Matrix Factorization for Semibounded Data. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Fatma Najar, Nizar Bouguila
On smoothing and scaling language model for sentiment based information retrieval. Adv. Data Anal. Classif. 17 (3) (2023)
Asiye Baghbani, Saeed Rahmani, Nizar Bouguila, Zachary Patterson
Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks. ITSC (2023)
Pantea Koochemeshkian, Nizar Bouguila
Generalized Dirichlet-Multinomial Regression: Leveraging Arbitrary Features for Topic Modelling. HPCC/DSS/SmartCity/DependSys (2023)
Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila
Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications. Appl. Intell. 53 (14) (2023)
Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila, Riad I. Hammoud
MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images. CVPR Workshops (2023)
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara
Iterative Feature Boosting for Explainable Speech Emotion Recognition. ICMLA (2023)
Sami Bourouis, Nizar Bouguila
Expectation propagation learning of finite and infinite Gamma mixture models and its applications. Multim. Tools Appl. 82 (21) (2023)
Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila
Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring. IEA/AIE (2) (2023)
Fatma Najar, Nizar Bouguila
Sentiment Analysis Using Smoothed Probabilistic-Based Models. CoDIT (2023)
Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila
Adaptive Constrained ICAMGGMM: An Improvement Over ICA. SNAMS (2023)
Narges Manouchehri, Nizar Bouguila
Human Activity Recognition with an HMM-Based Generative Model. Sensors 23 (3) (2023)
Ali Algumaei, Muhammad Azam, Fatma Najar, Nizar Bouguila
Bounded multivariate generalized Gaussian mixture model using ICA and IVA. Pattern Anal. Appl. 26 (3) (2023)
Michael Osadebey, Marius Pedersen, Meeta Kalra, Dag Waaler, Nizar Bouguila
Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation. Expert Syst. J. Knowl. Eng. 40 (3) (2023)
Niloufar Samiee, Narges Manouchehri, Nizar Bouguila
Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. ACIIDS (1) (2023)
Ornela Bregu, Nizar Bouguila
Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach. ICTAI (2023)
Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
Embedded Spherical Topic Models for Supervised Learning. ICPR (2022)
Fatma Najar, Nizar Bouguila
Emotion recognition: A smoothed Dirichlet multinomial solution. Eng. Appl. Artif. Intell. 107 (2022)
Fatma Najar, Nizar Bouguila
Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States. IEEE Trans. Artif. Intell. 3 (5) (2022)
Lin Yang, Wentao Fan, Nizar Bouguila
Clustering Analysis via Deep Generative Models With Mixture Models. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Narges Manouchehri, Nizar Bouguila
Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. FLAIRS (2022)
Kamal Maanicshah, Manar Amayri, Nizar Bouguila
Interactive Generalized Dirichlet Mixture Allocation Model. S+SSPR (2022)
Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data. IEA/AIE (2022)
Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar
Knowledge-enhanced Spherical Representation Learning for Text Classification. SDM (2022)
Xuanbo Su, Nuha Zamzami, Nizar Bouguila
A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models. Appl. Artif. Intell. 36 (1) (2022)
Narges Manouchehri, Nizar Bouguila, Wentao Fan
Expectation propagation learning of finite multivariate Beta mixture models and applications. Neural Comput. Appl. 34 (17) (2022)
Ali Baghdadi, Narges Manouchehri, Nizar Bouguila
A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions. ISIE (2022)
Fatma Najar, Nizar Bouguila
Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling. Inf. Sci. 586 (2022)
Wentao Fan, Manar Amayri, Nizar Bouguila
Stochastic Expectation Propagation Learning for Unsupervised Feature Selection. ICCCI (CCIS Volume) (2022)
Kian Ketabchi, Narges Manouchehri, Nizar Bouguila
Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection. ICIT (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nizar Bouguila