Mixture‐based clustering for count data using approximated Fisher Scoring and Minorization–Maximization approaches O Bregu, N Zamzami, N Bouguila Computational Intelligence 37 (1), 596-620, 2021 | 5 | 2021 |
Online mixture-based clustering for high dimensional count data using Neerchal–Morel distribution O Bregu, N Zamzami, N Bouguila Knowledge-Based Systems 225, 107051, 2021 | 4 | 2021 |
Mixture-based unsupervised learning for positively correlated count data O Bregu, N Zamzami, N Bouguila Intelligent Information and Database Systems: 13th Asian Conference, ACIIDS …, 2021 | 3 | 2021 |
Variational Inference of Finite Asymmetric Gaussian Mixture Models Z Song, O Bregu, S Ali, N Bouguila 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2448-2454, 2019 | 1 | 2019 |
Dirichlet compound negative multinomial mixture models and applications O Bregu, N Bouguila Advances in Data Analysis and Classification, 1-36, 2024 | | 2024 |
Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach O Bregu, N Bouguila 2023 IEEE 35th International Conference on Tools with Artificial …, 2023 | | 2023 |
Human Age Prediction Based on Brain MRI Using Density-Based Regression O Bregu, N Zamzami, N Bouguila 2023 IEEE International Conference on Industrial Technology (ICIT), 1-6, 2023 | | 2023 |
Mixture-Based Clustering for High-Dimensional Count Data Using Minorization-Maximization Approaches O Bregu Concordia University, 2020 | | 2020 |