no code implementations • 7 Mar 2023 • Aina Ferrà, Gloria Cecchini, Fritz-Pere Nobbe Fisas, Carles Casacuberta, Ignasi Cos
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 informed intuition about the structure of data, and, what is more important, about the phenomena being characterized by the given datasets.
no code implementations • 6 Feb 2023 • 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.
no code implementations • 3 Mar 2022 • Aina Ferrà, Carles Casacuberta, Oriol Pujol
We describe a method for approximating a single-variable function $f$ using persistence diagrams of sublevel sets of $f$ from height functions in different directions.
2 code implementations • 27 Jul 2017 • Marc Bolaños, Aina Ferrà, Petia Radeva
Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet.