| Variational learning of a shifted scaled dirichlet model with component splitting approach N Manouchehri, O Dalhoumi, M Amayri, N Bouguila 2020 Third International Conference on Artificial Intelligence for …, 2020 | 13 | 2020 |
| A review of neural networks for buildings occupancy measurement O Dalhoumi, M Amayri, N Bouguila 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence …, 2022 | 6 | 2022 |
| Bayesian matrix factorization for semibounded data O Dalhoumi, N Bouguila, M Amayri, W Fan IEEE transactions on neural networks and learning systems 34 (6), 3111-3123, 2021 | 6 | 2021 |
| Online Variational Learning of Shifted Scaled Dirichlet Mixture N Manouchehri, O Dalhoumi, M Amayri, N Bouguila 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), 1-6, 2021 | 1 | 2021 |
| Multivariate Beta-Based Hidden Markov Models Applied to Human Activity Recognition N Manouchehri, O Dalhoumi, M Amayri, N Bouguila Hidden Markov Models and Applications, 211-233, 2012 | 1 | 2012 |
| Bayesian Matrix Factorization and Applications O Dalhoumi Concordia University, 2022 | | 2022 |
| Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting A Rebei, O Dalhoumi, N Manouchehri, A Baghdadi, M Amayri, N Bouguila 2021 International Symposium on Networks, Computers and Communications …, 2021 | | 2021 |
