activity
20202024
most citedProviding reliability in Recommender Systems through Bernoulli Matrix Factorization

45 citations · 171 across the 18 of their papers we have counts for

collaborators

19 papers

cs.SE2024

Theory building in software engineering: Operationalization

Jorge Pérez, Jessica Díaz, Ángel González-Prieto +1

This work is part of a research project whose ultimate goal is to systematize a procedure for constructing theories in software engineering. The proposed methodology involves four…

cs.IR2024★ 23 cited

Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities

Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso +1

Neural collaborative filtering is the state of art field in the recommender systems area; it provides some models that obtain accurate predictions and recommendations. These models…

math.AG2024

Root data in character varieties

Ángel González-Prieto, Alfonso Zamora

Given an algebraic reductive group over an algebraically closed field of characteristic zero and a finitely generated group, we provide a stratification of the -characte…

math.AG2023

Arithmetic-Geometric Correspondence of Character Stacks via Topological Quantum Field Theory

Ángel González-Prieto, Márton Hablicsek, Jesse Vogel

In this paper, we introduce Topological Quantum Field Theories (TQFTs) generalizing the arithmetic computations done by Hausel and Rodríguez-Villegas and the geometric construction…

cs.IR2023

Incorporating Recklessness to Collaborative Filtering based Recommender Systems

Diego Pérez-López, Fernando Ortega, Ángel González-Prieto +1

Recommender systems are intrinsically tied to a reliability/coverage dilemma: The more reliable we desire the forecasts, the more conservative the decision will be and thus, the fe…

cs.LG2023

An evaluation framework for dimensionality reduction through sectional curvature

Raúl Lara-Cabrera, Ángel González-Prieto, Diego Pérez-López +2

Unsupervised machine learning lacks ground truth by definition. This poses a major difficulty when designing metrics to evaluate the performance of such algorithms. In sharp contra…

math.GT2023

Stratification of -character varieties of twisted Hopf links

Ángel González-Prieto, Marina Logares, Javier Martínez +1

We describe the geometry of the character variety of representations of the fundamental group of the complement of a Hopf link with twists, namely $Γ_{n}=\langle x,y \,| \, [x^…

cs.IR2022

Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering

Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega +1

Reliability measures associated with the prediction of the machine learning models are critical to strengthening user confidence in artificial intelligence. Therefore, those models…

math.QA2022

Quantization of algebraic invariants through Topological Quantum Field Theories

Ángel González-Prieto

In this paper we investigate the problem of constructing Topological Quantum Field Theories (TQFTs) to quantize algebraic invariants. We exhibit necessary conditions for quantizabi…

math.AG2022

Virtual Classes of Character Stacks

Ángel González-Prieto, Márton Hablicsek, Jesse Vogel

In this paper, we extend the Topological Quantum Field Theory developed by González-Prieto, Logares, and Muñoz for computing virtual classes of -representation varieties of clos…

cs.IR2021

Deep Variational Models for Collaborative Filtering-based Recommender Systems

Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez +1

Deep learning provides accurate collaborative filtering models to improve recommender system results. Deep matrix factorization and their related collaborative neural networks are…

cs.SE2021

Applying Inter-rater Reliability and Agreement in Grounded Theory Studies in Software Engineering

Jessica Díaz, Jorge Pérez, Carolina Gallardo +1

In recent years, the qualitative research on empirical software engineering that applies Grounded Theory is increasing. Grounded Theory (GT) is a technique for developing theory in…

cs.SE2021

DevOps Team Structures: Characterization and Implications

Daniel López-Fernández, Jessica Díaz, Javier García +2

Context: DevOps can be defined as a cultural movement to improve and accelerate the delivery of business value by making the collaboration between development and operations effect…

math.AG2020

On character varieties of singular manifolds

Ángel González-Prieto, Marina Logares

In this paper, we construct a lax monoidal Topological Quantum Field Theory that computes virtual classes, in the Grothendieck ring of algebraic varieties, of -representation va…

cs.SE2020★ 23 cited

Reliability in Software Engineering Qualitative Research through Inter-Coder Agreement: A guide using Krippendorff's & Atlas.ti

Ángel González-Prieto, Jorge Perez, Jessica Diaz +1

In recent years, the research on empirical software engineering that uses qualitative data analysis (e.g., cases studies, interview surveys, and grounded theory studies) is increas…

cs.IR2020★ 26 cited

Deep Learning feature selection to unhide demographic recommender systems factors

Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega +1

Extracting demographic features from hidden factors is an innovative concept that provides multiple and relevant applications. The matrix factorization model generates factors whic…

cs.LG2020★ 19 cited

DeepFair: Deep Learning for Improving Fairness in Recommender Systems

Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto +1

The lack of bias management in Recommender Systems leads to minority groups receiving unfair recommendations. Moreover, the trade-off between equity and precision makes it difficul…

cs.LG2020★ 45 cited

Providing reliability in Recommender Systems through Bernoulli Matrix Factorization

Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto +1

Beyond accuracy, quality measures are gaining importance in modern recommender systems, with reliability being one of the most important indicators in the context of collaborative…

cs.SE2020★ 35 cited

Why are many businesses instilling a DevOps culture into their organization?

Jessica Diaz, Daniel López-Fernández, Jorge Perez +1

Context: DevOps can be defined as a cultural movement to improve and accelerate the delivery of business value by making the collaboration between development and operations effect…