Mebarka Allaoui

According to our database, Mebarka Allaoui authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

t-SNE-PSO: Optimizing t-SNE using particle swarm optimization.

Mebarka Allaoui, Samir Brahim Belhaouari, Rachid Hedjam, Khadra Bouanane, Mohammed Lamine Kherfi

Expert Syst. Appl., 2025

Meta-Unsupervised Representation Learning: A New Approach to Factorization and Interpretability.

Ameer Ahmed Khan, Rachid Hedjam, Mebarka Allaoui, Guoqiang Zhong

Proceedings of the 38th Canadian Conference on Artificial Intelligence, 2025

2024

Unified embedding and clustering.

Mebarka Allaoui, Mohammed Lamine Kherfi, Abdelhakim Cheriet, Abdelhamid Bouchachia

Expert Syst. Appl., March, 2024

Behaviors of first-order optimizers in the context of sparse data and sparse models: A comparative study.

Khadra Bouanane, Basma Dokkar, Mebarka Allaoui, Bouthayna Meddour, Mohammed Lamine Kherfi, Rachid Hedjam

Digit. Signal Process., 2024

Centroid Initialization Method for t-Distributed Stochastic Neighbour Embedding (t-SNE).

Sara Husam Nassar, Samir B. Belhaouari, Mebarka Allaoui, Mohammed Lamine Kherfi

Proceedings of the 7th International Conference on Machine Learning and Natural Language Processing, 2024

2023

A Novel Two-Fold Loss Function for Data Clustering and Reconstruction: Application to Document Analysis.

Mebarka Allaoui, Mohammed Lamine Kherfi, Oussama Aiadi, Samir Brahim Belhaouari

IEEE Access, 2023

A Comparative Study of the Impact of Different First Order Optimizers on the Learning Process of UNet for Change Detection Task.

Basma Dokkar, Bouthaina Meddour, Khadra Bouanane, Mebarka Allaoui, Mohammed Lamine Kherfi

Proceedings of the Intelligent Systems and Pattern Recognition, 2023

2020

Object Detector Combination for Increasing Accuracy and Detecting More Overlapping Objects.

Khaoula Drid, Mebarka Allaoui, Mohammed Lamine Kherfi

Proceedings of the Image and Signal Processing - 9th International Conference, 2020

Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study.

Mebarka Allaoui, Mohammed Lamine Kherfi, Abdelhakim Cheriet

Proceedings of the Image and Signal Processing - 9th International Conference, 2020