1 citations · 4 across the 9 of their papers we have counts for
9 papers
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari +3
Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human…
Systematic Weight Evaluation for Pruning Large Language Models: Enhancing Performance and Sustainability
Ashhadul Islam, Samir Brahim Belhaouari, Amine Bermak
The exponential growth of large language models (LLMs) like ChatGPT has revolutionized artificial intelligence, offering unprecedented capabilities in natural language processing.…
Bio-Inspired Adaptive Neurons for Dynamic Weighting in Artificial Neural Networks
Ashhadul Islam, Abdesselam Bouzerdoum, Samir Brahim Belhaouari
Traditional neural networks employ fixed weights during inference, limiting their ability to adapt to changing input conditions, unlike biological neurons that adjust signal streng…
Pushing Boundaries: Exploring Zero Shot Object Classification with Large Multimodal Models
Ashhadul Islam, Md. Rafiul Biswas, Wajdi Zaghouani +2
The synergy of language and vision models has given rise to Large Language and Vision Assistant models (LLVAs), designed to engage users in rich conversational experiences inter…
Can ChatGPT be Your Personal Medical Assistant?
Md. Rafiul Biswas, Ashhadul Islam, Zubair Shah +2
The advanced large language model (LLM) ChatGPT has shown its potential in different domains and remains unbeaten due to its characteristics compared to other LLMs. This study aims…
Automated Model Training (AMT) GUI: An Opportunity for integrating AI in the Laboratory Experiment
Mohamed Bilal Shakeel, Samir Brahim Belhaouari, Fedwa El Mellouhi
In the field of materials science, comprehending material properties is often hindered by the complexity of datasets originating from various sources. This study introduces the Aut…
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +11
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is benchmarking mobile user…
Supervised Class-pairwise NMF for Data Representation and Classification
Rachid Hedjam, Abdelhamid Abdesselam, Seyed Mohammad Jafar Jalali +2
Various Non-negative Matrix factorization (NMF) based methods add new terms to the cost function to adapt the model to specific tasks, such as clustering, or to preserve some struc…
A new enlightenment about gaps between primes
Samir Brahim Belhaouari
The idea of generating prime numbers through sequence of sets of co-primes was the starting point of this paper that ends up by proving two conjectures, the existence of infinitely…