activity
20192025
most citedA quadratic linear-parabolic model-based classification to detect epileptic EEG seizures

14 citations · 33 across the 9 of their papers we have counts for

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2 papers · 1 filter

stat.ML2024★ 4 cited

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…

stat.AP2024★ 7 cited

Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier

Antonio Quintero-Rincón, Jorge Prendes, Valeria Muro +1

Pattern classification in electroencephalography (EEG) signals is an important problem in biomedical engineering since it enables the detection of brain activity, particularly the…