Fabio A. González | DeepAI

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Featured Co-authors

Thamar Solorio
35 publications
Steffen Herbold
30 publications
Gustavo Aguilar
16 publications
Mario Linares-Vásquez
15 publications
Sudipta Kar
15 publications
Vladimir Vargas-Calderón
13 publications
Manuel Montes-y-Gómez
11 publications
Herbert Vinck-Posada
7 publications
Raul Ramos-Pollan
6 publications
Suraj Maharjan
6 publications
Anamaria Mojica-Hanke
5 publications

∙ 06/21/2023

Lightweight learning from label proportions on satellite imagery

This work addresses the challenge of producing chip level predictions on...

0 Raul Ramos-Pollan, et al. ∙

∙ 05/26/2023

Quantum Kernel Mixtures for Probabilistic Deep Learning

This paper presents a novel approach to probabilistic deep learning (PDL...

0 Fabio A. González, et al. ∙

∙ 01/25/2023

What are the Machine Learning best practices reported by practitioners on Stack Exchange?

Machine Learning (ML) is being used in multiple disciplines due to its p...

0 Anamaria Mojica-Hanke, et al. ∙

∙ 11/15/2022

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection

This paper presents an anomaly detection model that combines the strong ...

0 Joseph Gallego-Mejia, et al. ∙

∙ 10/26/2022

AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features

This paper presents a novel density estimation method for anomaly detect...

0 Oscar Bustos-Brinez, et al. ∙

∙ 08/04/2022

Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection

Diabetic retinopathy (DR) is one of the leading causes of blindness in t...

0 Jose Miguel Arrieta Ramos, et al. ∙

∙ 08/02/2022

Fast Kernel Density Estimation with Density Matrices and Random Fourier Features

Kernel density estimation (KDE) is one of the most widely used nonparame...

0 Joseph A. Gallego, et al. ∙

∙ 08/01/2022

Quantum Adaptive Fourier Features for Neural Density Estimation

Density estimation is a fundamental task in statistics and machine learn...

0 Joseph A. Gallego, et al. ∙

∙ 06/18/2022

An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States

Neural quantum states are variational wave functions parameterised by ar...

0 Vladimir Vargas-Calderón, et al. ∙

∙ 03/28/2022

Optimisation-free Classification and Density Estimation with Quantum Circuits

We demonstrate the implementation of a novel machine learning framework ...

0 Vladimir Vargas-Calderón, et al. ∙

∙ 10/14/2021

A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection

Diabetic retinopathy (DR) is the result of a complication of diabetes af...

0 Melissa delaPava, et al. ∙

∙ 07/20/2021

Quantum Measurement Classification with Qudits

This paper presents a hybrid classical-quantum program for density estim...

0 Diego H. Useche, et al. ∙

∙ 03/04/2021

Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression

Prostate cancer (PCa) is one of the most common and aggressive cancers w...

0 Santiago Toledo-Cortés, et al. ∙

∙ 03/01/2021

Deep Bag-of-Sub-Emotions for Depression Detection in Social Media

This paper presents the Deep Bag-of-Sub-Emotions (DeepBoSE), a novel dee...

0 Juan S. Lara, et al. ∙

∙ 02/26/2021

Many-Qudit representation for the Travelling Salesman Problem Optimisation

We present a map from the travelling salesman problem (TSP), a prototypi...

0 Vladimir Vargas-Calderón, et al. ∙

∙ 02/08/2021

Learning with Density Matrices and Random Features

A density matrix describes the statistical state of a quantum system. It...

0 Fabio A. González, et al. ∙

∙ 07/29/2020

Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification

Diabetic Retinopathy (DR) is one of the microvascular complications of D...

0 Santiago Toledo-Cortés, et al. ∙

∙ 06/15/2020

Dissimilarity Mixture Autoencoder for Deep Clustering

In this paper, we introduce the Dissimilarity Mixture Autoencoder (DMAE)...

1 Juan S. Lara, et al. ∙

∙ 04/02/2020

Supervised Learning with Quantum Measurements

This letter reports a novel method for supervised machine learning based...

0 Fabio A. González, et al. ∙

∙ 06/10/2019

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

Recognizing named entities in a document is a key task in many NLP appli...

0 Gustavo Aguilar, et al. ∙

∙ 03/07/2019

Quantum Latent Semantic Analysis

The main goal of this paper is to explore latent topic analysis (LTA), i...

0 Fabio A. González, et al. ∙

∙ 05/24/2018

Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books

Books have the power to make us feel happiness, sadness, pain, surprise,...

0 Suraj Maharjan, et al. ∙

∙ 02/07/2017

Gated Multimodal Units for Information Fusion

This paper presents a novel model for multimodal learning based on gated...

0 John Arevalo, et al. ∙

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