8 citations · 13 across the 7 of their papers we have counts for
7 papers
Finding Sparse Subnetworks in One Training Cycle via Progressive Magnitude-Based Pruning
Romana Qureshi, Hafida Benhidour, Said Kerrache +1
Neural network pruning reduces model size by removing less important parameters while aiming to preserve predictive performance. Although the Lottery Ticket Hypothesis (LTH) shows…
Offensive Language Detection on Social Media Using XLNet
Reem Alothman, Hafida Benhidour, Said Kerrache
The widespread use of text-based communication on social media-through chats, comments, and microblogs-has improved user interaction but has also led to an increase in offensive co…
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat, Hafida Benhidour, Said Kerrache
Recommender systems are essential tools in the digital era, providing personalized content to users in areas like e-commerce, entertainment, and social media. Among the many approa…
A Sequence-to-Sequence Approach for Arabic Pronoun Resolution
Hanan S. Murayshid, Hafida Benhidour, Said Kerrache
This paper proposes a sequence-to-sequence learning approach for Arabic pronoun resolution, which explores the effectiveness of using advanced natural language processing (NLP) tec…
A Complex Network based Graph Embedding Method for Link Prediction
Said Kerrache, Hafida Benhidour
Graph embedding methods aim at finding useful graph representations by mapping nodes to a low-dimensional vector space. It is a task with important downstream applications, such as…
Image Captioning based on Feature Refinement and Reflective Decoding
Ghadah Alabduljabbar, Hafida Benhidour, Said Kerrache
Image captioning is the process of automatically generating a description of an image in natural language. Image captioning is one of the significant challenges in image understand…
An Approach for Link Prediction in Directed Complex Networks based on Asymmetric Similarity-Popularity
Hafida Benhidour, Lama Almeshkhas, Said Kerrache
Complex networks are graphs representing real-life systems that exhibit unique characteristics not found in purely regular or completely random graphs. The study of such systems is…