3 papers
cs.LG2025
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…
cs.NE2025
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…
cs.CL2025
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.…