5 citations · 6 across the 4 of their papers we have counts for
4 papers
A topological classifier to characterize brain states: When shape matters more than variance
Aina Ferrà, Gloria Cecchini, Fritz-Pere Nobbe Fisas +2
Despite the remarkable accuracies attained by machine learning classifiers to separate complex datasets in a supervised fashion, most of their operation falls short to provide an i…
Importance attribution in neural networks by means of persistence landscapes of time series
Aina Ferrà, Carles Casacuberta, Oriol Pujol
We propose and implement a method to analyze time series with a neural network using a matrix of area-normalized persistence landscapes obtained through topological data analysis.…
Reconstruction of univariate functions from directional persistence diagrams
Aina Ferrà, Carles Casacuberta, Oriol Pujol
We describe a method for approximating a single-variable function using persistence diagrams of sublevel sets of from height functions in different directions. We provide a…
Food Ingredients Recognition through Multi-label Learning
Marc Bolaños, Aina Ferrà, Petia Radeva
Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet. We tackle the problem of food ingredients recognition as a multi…