480 citations · 493 across the 6 of their papers we have counts for
7 papers
Latent Anomaly Detection Through Density Matrices
Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González
This paper introduces a novel anomaly detection framework that combines the robust statistical principles of density-estimation-based anomaly detection methods with the representat…
Interpreting Themes from Educational Stories
Yigeng Zhang, Fabio A. González, Thamar Solorio
Reading comprehension continues to be a crucial research focus in the NLP community. Recent advances in Machine Reading Comprehension (MRC) have mostly centered on literal comprehe…
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…
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…