7 citations · 22 across the 9 of their papers we have counts for
9 papers
What are the Machine Learning best practices reported by practitioners on Stack Exchange?
Anamaria Mojica-Hanke, Andrea Bayona, Mario Linares-Vásquez +2
Machine Learning (ML) is being used in multiple disciplines due to its powerful capability to infer relationships within data. In particular, Software Engineering (SE) is one of th…
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection
Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González
This paper presents an anomaly detection model that combines the strong statistical foundation of density-estimation-based anomaly detection methods with the representation-learnin…
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features
Oscar Bustos-Brinez, Joseph Gallego-Mejia, Fabio A. González
This paper presents a novel density estimation method for anomaly detection using density matrices (a powerful mathematical formalism from quantum mechanics) and Fourier features.…
Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection
Jose Miguel Arrieta Ramos, Oscar Perdómo, Fabio A. González
Diabetic retinopathy (DR) is one of the leading causes of blindness in the working-age population of developed countries, caused by a side effect of diabetes that reduces the blood…
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features
Joseph A. Gallego, Juan F. Osorio, Fabio A. González
Kernel density estimation (KDE) is one of the most widely used nonparametric density estimation methods. The fact that it is a memory-based method, i.e., it uses the entire trainin…
Quantum Adaptive Fourier Features for Neural Density Estimation
Joseph A. Gallego, Fabio A. González
Density estimation is a fundamental task in statistics and machine learning applications. Kernel density estimation is a powerful tool for non-parametric density estimation in low…
An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States
Vladimir Vargas-Calderón, Herbert Vinck-Posada, Fabio A. González
We consider the Feynman-Kitaev formalism applied to a spin chain described by the transverse field Ising model. This formalism consists of building a Hamiltonian whose ground state…
Optimisation-free Classification and Density Estimation with Quantum Circuits
Vladimir Vargas-Calderón, Fabio A. González, Herbert Vinck-Posada
We demonstrate the implementation of a novel machine learning framework for probability density estimation and classification using quantum circuits. The framework maps a training…
A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection
Melissa delaPava, Hernán Ríos, Francisco J. Rodríguez +2
Diabetic retinopathy (DR) is the result of a complication of diabetes affecting the retina. It can cause blindness, if left undiagnosed and untreated. An ophthalmologist performs t…