76 citations · 115 across the 13 of their papers we have counts for
4 papers · 1 filter
Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images
Veronica Marsico, Antonio Quintero-Rincon, Hadj Batatia
This study presents a novel method for diagnosing respiratory diseases using image data. It combines Epanechnikov's non-parametric kernel density estimation (EKDE) with a bimodal l…
Hybrid Pipeline SWD Detection in Long-Term EEG Signals
Antonio Quintero Rincon, Nicolas Masino, Veronica Marsico +1
Spike-and-wave discharges (SWDs) are the electroencephalographic hallmark of absence epilepsy, yet their manual identification in multi-day recordings remains labour-intensive and…
Innovative tokenisation of structured data for LLM training
Kayvan Karim, Hani Ragab Hassen. Hadj Batatia
Data representation remains a fundamental challenge in machine learning, particularly when adapting sequence-based architectures like Transformers and Large Language Models (LLMs)…
Integrating External Tools with Large Language Models to Improve Accuracy
Nripesh Niketan, Hadj Batatia
This paper deals with improving querying large language models (LLMs). It is well-known that without relevant contextual information, LLMs can provide poor quality responses or ten…