3 papers
cs.CV2025
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…
eess.SP2025
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…
stat.ML2024
Effect sizes as a statistical feature-selector-based learning to detect breast cancer
Nicolas Masino, Antonio Quintero-Rincon
Breast cancer detection is still an open research field, despite a tremendous effort devoted to work in this area. Effect size is a statistical concept that measures the strength o…