| 2026 | AAAI | Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms. | Jiaxun Guo, Manar Amayri, Nizar Bouguila, Xin Liu, Wentao Fan |
| 2025 | FlAIRS | Flexible Dirichlet Mixture Model for Multi-modal data Clustering. | Seunghyun Hong, Fatma Najar, Manar Amayri, Nizar Bouguila |
| 2025 | KDD | Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures. | Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila |
| 2024 | FlAIRS | A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. | Fares Alkhawaja, Manar Amayri, Nizar Bouguila |
| 2024 | FlAIRS | Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. | Fares Alkhawaja, Manar Amayri, Nizar Bouguila |
| 2024 | ICONIP | Adaptive Constrained ICABMGGMM: Application to ECG Blind Source Separation. | Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila |
| 2023 | ACIIDS | Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. | Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila |
| 2023 | ACIIDS | Novel Topic Models for Parallel Topics Extraction from Multilingual Text. | Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila |
| 2023 | HPCC | A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting. | Hamdi Barkous, Manar Amayri, Nizar Bouguila |
| 2023 | HPCC | Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions. | Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila, Manar Amayri |
| 2023 | SMC | Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. | Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila |
| 2023 | SMC | Explainable Robust Smart Meter Data Clustering for Improved Energy Management. | Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila |
| 2023 | SMC | Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. | Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila |
| 2023 | SMC | Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. | Oussama Sghaier, Manar Amayri, Nizar Bouguila |
| 2022 | FNC | Explainable K-Means Clustering for Occupancy Estimation. | Kumar Prabhakaran, Jawher Dridi, Manar Amayri, Nizar Bouguila |
| 2022 | ICCCI | Stochastic Expectation Propagation Learning for Unsupervised Feature Selection. | Wentao Fan, Manar Amayri, Nizar Bouguila |
| 2022 | SSPR | Interactive Generalized Dirichlet Mixture Allocation Model. | Kamal Maanicshah, Manar Amayri, Nizar Bouguila |
| 2021 | FlAIRS | Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. | Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan |
| 2021 | ISNCC | Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. | Ahmed Rebei, Oumayma Dalhoumi, Narges Manouchehri, Ali Baghdadi, Manar Amayri, Nizar Bouguila |
| 2020 | ISNCC | Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation. | Yogesh Pawar, Manar Amayri, Nizar Bouguila |
| 2019 | CoDIT | An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures. | Fahdah Alalyan, Nuha Zamzami, Manar Amayri, Nizar Bouguila |
| 2019 | CoDIT | Beta-Liouville Regression and Applications. | Divya Ankam, Nizar Bouguila, Manar Amayri |
| 2018 | CoDIT | Decision tree and Parametrized classifier for Estimating occupancy in energy management. | Manar Amayri, Stphane Ploix |