1 citations · 3 across the 6 of their papers we have counts for
6 papers
Oversampling and Downsampling with Core-Boundary Awareness: A Data Quality-Driven Approach
Samir Brahim Belhaouari, Yunis Carreon Kahalan, Humaira Shaffique +2
The effectiveness of machine learning models, particularly in unbalanced classification tasks, is often hindered by the failure to differentiate between critical instances near the…
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…
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…