Bayesian network and Hidden Markov Model for estimating occupancy from measurements and knowledge. - Manar Amayri; Quoc-Dung Ngo; El Abed El Safadi; Stéphane Ploix (IDAACS, 2017)

Smart Home Futures: Algorithmic Challenges and Opportunities. - Hussain Syed Kazmi; Fahad Mehmood; Manar Amayri (ISPAN-FCST-ISCC, 2017)

Decision tree and Parametrized classifier for Estimating occupancy in energy management. - Manar Amayri; Stéphane Ploix (CoDIT, 2018)

An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures. - Fahdah Alalyan; Nuha Zamzami; Manar Amayri; Nizar Bouguila (CoDIT, 2019)

Beta-Liouville Regression and Applications. - Divya Ankam; Nizar Bouguila; Manar Amayri (CoDIT, 2019)

A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings. - Hieu Nguyen; Maryam Rahmanpour; Narges Manouchehri; Kamal Maanicshah; Manar Amayri; Nizar Bouguila (ISC2, 2019)

Indicators for Evaluation of Energetic Performance of Net Zero Energy Buildings. - Nana Kofi Twum-Duah; Manar Amayri; Frédéric Wurtz; Stéphane Ploix (ISC2, 2019)

Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. - Narges Manouchehri; Jaspreet Singh Kalsi; Manar Amayri; Nizar Bouguila (ISIE, 2019)

Online Clustering for Estimating Occupancy in an Office Setting. - Nuha Zamzami; Manar Amayri; Nizar Bouguila; Stéphane Ploix (ISIE, 2019)

Indicators for Self-assessment of Human Practices in Homes. - Manar Amayri; Helene Haller; Stéphane Ploix; Frédéric Wurtz; Gilles Debizet (SMARTGREENS, 2019)

A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings. - Manar Amayri; Stéphane Ploix; Fatma Najar; Nizar Bouguila; Frédéric Wurtz (SSCI, 2019)

Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments. - Manar Amayri; Stéphane Ploix; Nizar Bouguila; Frédéric Wurtz (IEEE Access, 2019)

Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management. - Manar Amayri; Stéphane Ploix; Hussain Syed Kazmi; Quoc-Dung Ngo; El Abed El Safadi (J. Sensors, 2019)

Variational learning of a shifted scaled Dirichlet model with component splitting approach. - Narges Manouchehri; Oumayma Dalhoumi; Manar Amayri; Nizar Bouguila (AI4I, 2020)

Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation. - Yogesh Pawar; Manar Amayri; Nizar Bouguila (ISNCC, 2020)

A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models. - Rim Nasfi; Manar Amayri; Nizar Bouguila (Knowl. Based Syst., 2020)

Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model. - Zixiang Xian; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (EUSIPCO, 2021)

Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. - Mohammad Sadegh Ahmadzadeh; Narges Manouchehri; Hafsa Ennajari; Nizar Bouguila; Manar Amayri; Wentao Fan (FLAIRS, 2021)

Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models. - Yogesh Pawar; Manar Amayri; Nizar Bouguila (ICIT, 2021)

Inverted Dirichlet State Space Model for Time Series Forecasting. - Omar Graja; Fatma Najar; Manar Amayri; Nizar Bouguila (ISIE, 2021)

Online Variational Learning of Shifted Scaled Dirichlet Mixture. - Narges Manouchehri; Oumayma Dalhoumi; Manar Amayri; Nizar Bouguila (ISIE, 2021)

Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. - Ahmed Rebei; Oumayma Dalhoumi; Narges Manouchehri; Ali Baghdadi; Manar Amayri; Nizar Bouguila (ISNCC, 2021)

On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach. - Behnam Farsi; Manar Amayri; Nizar Bouguila; Ursula Eicker (IEEE Access, 2021)

A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings. - Jiaxun Guo; Manar Amayri; Nizar Bouguila; Wentao Fan (IEEE Trans. Consumer Electron., 2021)

Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting. - Kamal Maanicshah; Manar Amayri; Nizar Bouguila; Wentao Fan (Wirel. Pers. Commun., 2021)

Explainable K-Means Clustering for Occupancy Estimation. - Kumar Prabhakaran; Jawher Dridi; Manar Amayri; Nizar Bouguila (FNC/MobiSPC/SEIT, 2022)

Stochastic Expectation Propagation Learning for Unsupervised Feature Selection. - Wentao Fan; Manar Amayri; Nizar Bouguila (ICCCI (CCIS Volume), 2022)

A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data. - Jiaxun Guo; Manar Amayri; Wentao Fan; Nizar Bouguila (IEA/AIE, 2022)

Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data. - Jiaxun Guo; Manar Amayri; Wentao Fan; Nizar Bouguila (SSCI, 2022)

Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model. - Kamal Maanicshah; Manar Amayri; Nizar Bouguila (SSCI, 2022)

Interactive Generalized Dirichlet Mixture Allocation Model. - Kamal Maanicshah; Manar Amayri; Nizar Bouguila (S+SSPR, 2022)

Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning. - Omar Bouhamed; Manar Amayri; Nizar Bouguila (Sensors, 2022)

Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model. - Koffi Eddy Ihou; Manar Amayri; Nizar Bouguila (ACM Trans. Knowl. Discov. Data, 2022)

Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (ACIIDS (Companion), 2023)

Novel Topic Models for Parallel Topics Extraction from Multilingual Text. - Kamal Maanicshah; Narges Manouchehri; Manar Amayri; Nizar Bouguila (ACIIDS (2), 2023)

Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context. - Mohammad Kaosain Akbar; Manar Amayri; Nizar Bouguila; Frédéric Wurtz; Benoit Delinchant (CIIS, 2023)

Occupancy Estimation in Smart Buildings: Impact of Data Quality on Feature Selection. - Manar Amayri; Yogesh Pawar (CIIS, 2023)

Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models. - Mohamed Bouzid; Manar Amayri; Nizar Bouguila (CIIS, 2023)

A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting. - Hamdi Barkous; Manar Amayri; Nizar Bouguila (HPCC/DSS/SmartCity/DependSys, 2023)

Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions. - Shadan Ghadimi; Hafsa Ennajari; Nizar Bouguila; Manar Amayri (HPCC/DSS/SmartCity/DependSys, 2023)

Novel Topic Models for Content Based Recommender Systems. - Kamal Maanicshah; Manar Amayri; Nizar Bouguila (ICEIS (1), 2023)

Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers. - Viet Tra; Hussein Al-Bazzaz; Manar Amayri; Nizar Bouguila (ICIIT, 2023)

Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring. - Mohammad Kaosain Akbar; Manar Amayri; Nizar Bouguila (IEA/AIE (2), 2023)

A Selective Supervised Latent Beta-Liouville Allocation for Document Classification. - Zhiwen Luo; Manar Amayri; Wentao Fan; Nizar Bouguila (IEA/AIE (1), 2023)

HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings. - Fatemeh Rezapoor Nikroo; Manar Amayri; Nizar Bouguila (SMARTGREENS, 2023)

Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (SMC, 2023)

Explainable Robust Smart Meter Data Clustering for Improved Energy Management. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (SMC, 2023)

Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. - Hussein Al-Bazzaz; Kumar Prabhakaran Saravanakumar; Manar Amayri; Nizar Bouguila (SMC, 2023)

Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. - Oussama Sghaier; Manar Amayri; Nizar Bouguila (SMC, 2023)

Adaptive Constrained ICAMGGMM: An Improvement Over ICA. - Ali Algumaei; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (SNAMS, 2023)

ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models. - Ali Algumaei; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (Eng. Appl. Artif. Intell., 2023)

Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data. - Jiaxun Guo; Manar Amayri; Wentao Fan; Nizar Bouguila (IEEE Internet Things J., 2023)

Occupancy estimation in smart buildings using predictive modeling in imbalanced domains. - Jiaxun Guo; Manar Amayri; Fatma Najar; Wentao Fan; Nizar Bouguila (J. Ambient Intell. Humaniz. Comput., 2023)

Bayesian Matrix Factorization for Semibounded Data. - Oumayma Dalhoumi; Nizar Bouguila; Manar Amayri; Wentao Fan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications. - Zhiwen Luo; Manar Amayri; Wentao Fan; Nizar Bouguila (Appl. Intell., 2023)

Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (Sensors, 2023)

Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. - Oussama Sghaier; Manar Amayri; Nizar Bouguila (ANNPR, 2024)

Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP). - Maher Dissem; Manar Amayri; Nizar Bouguila (CCNC, 2024)

A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. - Fares Alkhawaja; Manar Amayri; Nizar Bouguila (FLAIRS, 2024)

Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. - Fares Alkhawaja; Manar Amayri; Nizar Bouguila (FLAIRS, 2024)

Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring. - Skander Chouchene; Manar Amayri; Nizar Bouguila (ICHMS, 2024)

Adaptive Constrained ICABMGGMM: Application to ECG Blind Source Separation. - Ali Algumaei; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (ICONIP (5), 2024)

Novel mixture allocation models for topic learning. - Kamal Maanicshah; Manar Amayri; Nizar Bouguila (Comput. Intell., 2024)

Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications. - Zhiwen Luo; Manar Amayri; Wentao Fan; Koffi Eddy Ihou; Nizar Bouguila (Expert Syst. Appl., 2024)

FSNet: A Hybrid Model for Seasonal Forecasting. - Ahmed Rebei; Manar Amayri; Nizar Bouguila (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Neural Architecture Search for Anomaly Detection in Time-Series Data of Smart Buildings: A Reinforcement Learning Approach for Optimal Autoencoder Design. - Maher Dissem; Manar Amayri; Nizar Bouguila (IEEE Internet Things J., 2024)

A scaled dirichlet-based predictive model for occupancy estimation in smart buildings. - Jiaxun Guo; Manar Amayri; Wentao Fan; Nizar Bouguila (Appl. Intell., 2024)

Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management. - Hussein Al-Bazzaz; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (ACM Trans. Intell. Syst. Technol., 2024)

Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation. - Soudabeh Tabarsaii; Manar Amayri; Nizar Bouguila; Ursula Eicker (J. Ambient Intell. Humaniz. Comput., 2024)

Affinity-Driven Transfer Learning for Load Forecasting. - Ahmed Rebei; Manar Amayri; Nizar Bouguila (Sensors, 2024)

Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers. - Viet Tra; Manar Amayri; Nizar Bouguila (IEEE Trans Autom. Sci. Eng., 2024)

Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data. - Oussama Sghaier; Manar Amayri; Nizar Bouguila (ACM Trans. Intell. Syst. Technol., 2024)

Multi-Source Domain Adaptation Using Ambient Sensor Data. - Jawher Dridi; Manar Amayri; Nizar Bouguila (Appl. Artif. Intell., 2024)

Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions. - Ons Bouarada; Muhammad Azam 002; Manar Amayri; Nizar Bouguila (Pattern Anal. Appl., 2024)

Smart Building Management Application: Unsupervised First and Second-Order Moments Domain Adaptation for Occupant Behaviour Prediction Using IoT Sensor Data. - Jawher Dridi; Manar Amayri; Nizar Bouguila (CCNC, 2025)

Flexible Dirichlet Mixture Model for Multi-modal data Clustering. - Seunghyun Hong; Fatma Najar; Manar Amayri; Nizar Bouguila (FLAIRS, 2025)

Uniting Mcdonald's Beta and Liouville Distributions to Empower Anomaly Detection. - Oussama Sghaier; Manar Amayri; Nizar Bouguila (ICEIS (1), 2025)

Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures. - Zhiwen Luo; Wentao Fan; Manar Amayri; Nizar Bouguila (KDD (1), 2025)

Unsupervised Partial Domain Adaptation for Occupants Behavior Modeling in Smart Buildings. - Jawher Dridi; Manar Amayri; Nizar Bouguila (SMARTGREENS, 2025)

Topological Attention and Deep Learning Integration for Electricity Consumption Forecasting. - Ahmed Ben Salem; Manar Amayri (SMARTGREENS, 2025)

Transformer-based deep probabilistic network for load forecasting. - Omar Bouhamed; Maher Dissem; Manar Amayri; Nizar Bouguila (Eng. Appl. Artif. Intell., 2025)

Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings. - Jiaxun Guo; Wentao Fan; Manar Amayri; Nizar Bouguila (Neural Networks, 2025)

Unsupervised anomaly detection and imputation in noisy time series data for enhancing load forecasting. - Maher Dissem; Manar Amayri (Appl. Intell., 2025)

Dirichlet and Liouville-based normality scores for deep anomaly detection using transformations: applications to images and beyond images. - Oussama Sghaier; Manar Amayri; Nizar Bouguila (Appl. Intell., 2025)

Toward Efficient Federated Load Forecasting: Personalization Mechanisms and Their Impact. - Maher Dissem; Manar Amayri (IEEE Internet Things J., 2025)