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2020 – today
- 2025
[j223]Oussama Sghaier, Manar Amayri, Nizar Bouguila
:
Dirichlet and Liouville-based normality scores for deep anomaly detection using transformations: applications to images and beyond images. Appl. Intell. 55(1): 25 (2025)- [j222]Jiaxun Guo, Wentao Fan, Manar Amayri, Nizar Bouguila:
Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings. Neural Networks 183: 106979 (2025) - 2024
- [j221]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): 6981-6996 (2024) - [j220]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): 7046-7069 (2024) - [j219]Ali Algumaei, Muhammad Azam, Nizar Bouguila:
Novel approach for ECG separation using adaptive constrained IVABMGGMM. Digit. Signal Process. 149: 104476 (2024) - [j218]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): 121720 (2024) - [j217]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): 18059-18073 (2024) - [j216]Lidan Zeng, Wentao Fan, Nizar Bouguila:
Probabilistic rotation modeling based on directional mixture density networks. Inf. Sci. 662: 120231 (2024) - [j215]Soudabeh Tabarsaii, Manar Amayri, Nizar Bouguila, Ursula Eicker:
Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation. J. Ambient Intell. Humaniz. Comput. 15(9): 3359-3378 (2024) - [j214]Sneha Paul, Zachary Patterson, Nizar Bouguila:
.FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images. J. Imaging 10(3): 71 (2024) - [j213]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): 20 (2024) - [j212]Ons Bouarada, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions. Pattern Anal. Appl. 27(4): 117 (2024) - [j211]Akinlolu Oluwabusayo Ojo, Nizar Bouguila:
A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder. Pattern Recognit. 146: 110037 (2024) - [j210]Ahmed Rebei, Manar Amayri, Nizar Bouguila:
Affinity-Driven Transfer Learning for Load Forecasting. Sensors 24(17): 5802 (2024) - [j209]Viet Tra, Manar Amayri, Nizar Bouguila:
Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers. IEEE Trans Autom. Sci. Eng. 21(4): 6787-6803 (2024) - [j208]Ahmed Rebei, Manar Amayri, Nizar Bouguila:
FSNet: A Hybrid Model for Seasonal Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1167-1180 (2024) - [j207]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management. ACM Trans. Intell. Syst. Technol. 15(4): 64:1-64:26 (2024) - [j206]Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data. ACM Trans. Intell. Syst. Technol. 15(5): 107:1-107:26 (2024) - [j205]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): 5566-5576 (2024) - [j204]Sneha Paul, Zachary Patterson, Nizar Bouguila:
DualMLP: a two-stream fusion model for 3D point cloud classification. Vis. Comput. 40(8): 5435-5449 (2024) - [c311]Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. ANNPR 2024: 49-60 - [c310]Ahmed Yasser Eita, Hafsa Ennajari, Akinlolu Oluwabusayo Ojo, Nizar Bouguila:
VAeViT: Fusing Multi-views for Complete 3D Object Recognition. ANNPR 2024: 183-194 - [c309]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers. ANNPR 2024: 256-268 - [c308]Ali Algumaei, Muhammad Azam, Nizar Bouguila:
Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM. ATSIP 2024: 65-70 - [c307]Maher Dissem, Manar Amayri, Nizar Bouguila:
Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP). CCNC 2024: 202-205 - [c306]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
A Nonparametric Bayesian Framework for Multivariate Libby-Novick Beta Mixture Models. CoDIT 2024: 751-756 - [c305]Sneha Paul, Zachary Patterson, Nizar Bouguila:
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data. ECCV (66) 2024: 55-71 - [c304]Fares Alkhawaja, Manar Amayri, Nizar Bouguila:
A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. FLAIRS 2024 - [c303]Fares Alkhawaja, Manar Amayri, Nizar Bouguila:
Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. FLAIRS 2024 - [c302]Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila:
Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data. FLAIRS 2024 - [c301]Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Generalizing Conditional Naive Bayes Model. ICEIS (1) 2024: 163-171 - [c300]Skander Chouchene, Manar Amayri, Nizar Bouguila:
Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring. ICHMS 2024: 1-6 - [c299]Zahra Golpayegani, Nizar Bouguila:
PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm. ICPRAM 2024: 886-893 - [c298]Tsega Weldu Araya, Muhammad Azam, Nizar Bouguila, Jamal Bentahar:
Multivariate Bounded Support Kotz Mixture Model with Minimum Message Length Criterion. ISNCC 2024: 1-6 - [c297]Faiza Tahsin, Hafsa Ennajari, Nizar Bouguila:
Author Dirichlet Multinomial Allocation Model with Generalized Distribution (ADMAGD). ISNCC 2024: 1-7 - [c296]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: 25-32 - [c295]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis. ICSC 2024: 33-40 - [c294]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: 49-56 - [i7]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Iterative Feature Boosting for Explainable Speech Emotion Recognition. CoRR abs/2405.20172 (2024) - [i6]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition. CoRR abs/2406.01624 (2024) - [i5]Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila:
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness. CoRR abs/2406.05006 (2024) - [i4]Zahra Golpayegani, Nizar Bouguila:
PatchSVD: A Non-uniform SVD-based Image Compression Algorithm. CoRR abs/2406.05129 (2024) - [i3]Sneha Paul, Zachary Patterson, Nizar Bouguila:
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data. CoRR abs/2409.13977 (2024) - 2023
- [j203]Fatma Najar, Nizar Bouguila:
On smoothing and scaling language model for sentiment based information retrieval. Adv. Data Anal. Classif. 17(3): 725-744 (2023) - [j202]Wentao Fan, Weimin Shangguan, Nizar Bouguila:
Continuous image anomaly detection based on contrastive lifelong learning. Appl. Intell. 53(14): 17693-17707 (2023) - [j201]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): 17824-17848 (2023) - [j200]Fares Alkhawaja, Nizar Bouguila:
Unsupervised nested Dirichlet finite mixture model for clustering. Appl. Intell. 53(21): 25232-25258 (2023) - [j199]Sami Bourouis, Nizar Bouguila:
Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications. Cybern. Syst. 54(4): 474-498 (2023) - [j198]Samar Hannachi, Fatma Najar, Hafsa Ennajari, Nizar Bouguila:
Online short text clustering using infinite extensions of discrete mixture models. Comput. Intell. 39(5): 759-782 (2023) - [j197]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): 106345 (2023) - [j196]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) - [j195]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): 18876-18889 (2023) - [j194]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): 10917-10929 (2023) - [j193]Bingwei Ge, Fatma Najar, Nizar Bouguila:
Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration. J. Imaging 9(9): 179 (2023) - [j192]Sami Bourouis, Nizar Bouguila:
Expectation propagation learning of finite and infinite Gamma mixture models and its applications. Multim. Tools Appl. 82(21): 33267-33284 (2023) - [j191]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): 91-106 (2023) - [j190]Ali Algumaei, Muhammad Azam, Fatma Najar, Nizar Bouguila:
Bounded multivariate generalized Gaussian mixture model using ICA and IVA. Pattern Anal. Appl. 26(3): 1223-1252 (2023) - [j189]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): 3558 (2023) - [j188]Narges Manouchehri, Nizar Bouguila:
Human Activity Recognition with an HMM-Based Generative Model. Sensors 23(3): 1390 (2023) - [j187]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): 8296 (2023) - [j186]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): 1746-1760 (2023) - [j185]Saeed Rahmani, Asiye Baghbani, Nizar Bouguila, Zachary Patterson:
Graph Neural Networks for Intelligent Transportation Systems: A Survey. IEEE Trans. Intell. Transp. Syst. 24(8): 8846-8885 (2023) - [j184]Oumayma Dalhoumi, Nizar Bouguila, Manar Amayri, Wentao Fan:
Bayesian Matrix Factorization for Semibounded Data. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3111-3123 (2023) - [j183]Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar:
Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3609-3623 (2023) - [j182]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): 6303-6312 (2023) - [c293]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. ACIIDS (Companion) 2023: 145-156 - [c292]Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila:
Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) 2023: 297-309 - [c291]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. ACIIDS (1) 2023: 371-383 - [c290]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: 7-13 - [c289]Mohamed Bouzid, Manar Amayri, Nizar Bouguila:
Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models. CIIS 2023: 52-58 - [c288]Fatma Najar, Nizar Bouguila:
Sentiment Analysis Using Smoothed Probabilistic-Based Models. CoDIT 2023: 1185-1190 - [c287]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. CoDIT 2023: 2055-2060 - [c286]Sneha Paul, Zachary Patterson, Nizar Bouguila:
CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud. CRV 2023: 273-280 - [c285]Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila:
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness. CRV 2023: 281-287 - [c284]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: 312-319 - [c283]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: 497-506 - [c282]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: 795-800 - [c281]Pantea Koochemeshkian, Nizar Bouguila:
Generalized Dirichlet-Multinomial Regression: Leveraging Arbitrary Features for Topic Modelling. HPCC/DSS/SmartCity/DependSys 2023: 884-891 - [c280]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: 926-933 - [c279]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. ICAISC (2) 2023: 320-330 - [c278]Kamal Maanicshah, Manar Amayri, Nizar Bouguila:
Novel Topic Models for Content Based Recommender Systems. ICEIS (1) 2023: 138-145 - [c277]Viet Tra, Hussein Al-Bazzaz, Manar Amayri, Nizar Bouguila:
Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers. ICIIT 2023: 203-208 - [c276]Ornela Bregu, Nuha Zamzami, Nizar Bouguila:
Human Age Prediction Based on Brain MRI Using Density-Based Regression. ICIT 2023: 1-6 - [c275]Ahmed Yasser Eita, Hafsa Ennajari, Nizar Bouguila:
3D Multi-Views Object Classification Based on a Fully Generalized Dirichlet Allocation Model. ICIT 2023: 1-7 - [c274]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications. ICIT 2023: 1-7 - [c273]Sneha Paul, Zachary Patterson, Nizar Bouguila:
Semantic Segmentation Using Transfer Learning on Fisheye Images. ICMLA 2023: 445-452 - [c272]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Iterative Feature Boosting for Explainable Speech Emotion Recognition. ICMLA 2023: 543-549 - [c271]Pantea Koochemeshkian, Nizar Bouguila:
Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions. ICMLA 2023: 1928-1935 - [c270]Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila:
Invertible Neural Network-Based Video Compression. ICPRAM 2023: 558-564 - [c269]Ornela Bregu, Nizar Bouguila:
Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach. ICTAI 2023: 491-495 - [c268]Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila:
A Selective Supervised Latent Beta-Liouville Allocation for Document Classification. IEA/AIE (1) 2023: 37-48 - [c267]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: 59-65 - [c266]Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Generalized Probabilistic Clustering Projection Models for Discrete Data. ISNCC 2023: 1-7 - [c265]Asiye Baghbani, Saeed Rahmani, Nizar Bouguila, Zachary Patterson:
Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks. ITSC 2023: 3073-3078 - [c264]Mohamed Chaaben, Asiye Baghbani, Nizar Bouguila, Zachary Patterson:
Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting. ITSC 2023: 3116-3121 - [c263]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. SAC 2023: 1143-1150 - [c262]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: 81-88 - [c261]Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. SMC 2023: 3428-3433 - [c260]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: 3446-3451 - [c259]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Explainable Robust Smart Meter Data Clustering for Improved Energy Management. SMC 2023: 5194-5199 - [c258]Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila:
Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. SMC 2023: 5212-5217 - [c257]Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Adaptive Constrained ICAMGGMM: An Improvement Over ICA. SNAMS 2023: 1-7 - [i2]Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila:
Automatic counting of planting microsites via local visual detection and global count estimation. CoRR abs/2311.00796 (2023) - 2022
- [j181]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) - [j180]Ali Baghdadi, Narges Manouchehri, Zachary Patterson, Wentao Fan, Nizar Bouguila:
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. Comput. Intell. 38(6): 2095-2115 (2022) - [j179]Vahid Khorasani Ghassab, Nizar Bouguila:
Plug-and-Play video super-resolution using edge-preserving filtering. Comput. Vis. Image Underst. 216: 103359 (2022) - [j178]Fatma Najar, Nizar Bouguila:
Emotion recognition: A smoothed Dirichlet multinomial solution. Eng. Appl. Artif. Intell. 107: 104542 (2022) - [j177]Muhammad Azam, Nizar Bouguila:
Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length. Expert Syst. Appl. 204: 117516 (2022) - [j176]Narges Manouchehri, Nizar Bouguila:
A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications. Int. J. Semantic Comput. 16(3): 449-469 (2022) - [j175]Fatma Najar, Nizar Bouguila:
Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling. Inf. Sci. 586: 688-703 (2022) - [j174]Ghazaleh Torabi, Amin Hammad, Nizar Bouguila:
Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers. J. Comput. Civ. Eng. 36(4) (2022) - [j173]Lin Yang, Wentao Fan, Nizar Bouguila:
Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations. Knowl. Based Syst. 246: 108671 (2022) - [j172]