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ORCIDÁngel González-Prieto
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2020 – today
- 2024
[j17]Diego Pérez-López
, Fernando Ortega, Ángel González-Prieto, Jorge Dueñas-Lerín:
Incorporating recklessness to collaborative filtering based recommender systems. Inf. Sci. 679: 121131 (2024)- 2023
- [j16]Jessica Díaz, Jorge Pérez, Carolina Gallardo, Ángel González-Prieto:
Applying Inter-Rater Reliability and Agreement in collaborative Grounded Theory studies in software engineering. J. Syst. Softw. 195: 111520 (2023) - [j15]Ángel González-Prieto, Jorge Pérez, Jessica Díaz, Daniel López-Fernández:
Reliability in software engineering qualitative research through Inter-Coder Agreement. J. Syst. Softw. 202: 111707 (2023) - [j14]Ángel González-Prieto, Antonio Brú, Juan Carlos Nuño, José Luis González-Álvarez:
Hybrid machine learning methods for risk assessment in gender-based crime. Knowl. Based Syst. 260: 110130 (2023) - [j13]Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto:
Deep variational models for collaborative filtering-based recommender systems. Neural Comput. Appl. 35(10): 7817-7831 (2023) - [j12]Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval:
Data Augmentation techniques in time series domain: a survey and taxonomy. Neural Comput. Appl. 35(14): 10123-10145 (2023) - [i16]Raúl Lara-Cabrera, Ángel González-Prieto, Diego Pérez-López, Diego Trujillo, Fernando Ortega:
An evaluation framework for dimensionality reduction through sectional curvature. CoRR abs/2303.09909 (2023) - [i15]Diego Pérez-López, Fernando Ortega, Ángel González-Prieto, Jorge Dueñas-Lerín:
Incorporating Recklessness to Collaborative Filtering based Recommender Systems. CoRR abs/2308.02058 (2023) - 2022
- [j11]Jorge Pérez, Jessica Díaz, Javier Berrocal, Ramón López-Viana, Ángel González-Prieto:
Edge computing. Computing 104(12): 2711-2747 (2022) - [j10]Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Ángel González-Prieto:
Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities. Int. J. Interact. Multim. Artif. Intell. 7(4): 18 (2022) - [j9]Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval, Edgar Talavera:
Improving the quality of generative models through Smirnov transformation. Inf. Sci. 609: 1539-1566 (2022) - [j8]Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera:
Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput. Appl. 34(4): 2939-2951 (2022) - [j7]Jorge Pérez, Ángel González-Prieto, Jessica Díaz, Daniel López-Fernández, Javier García Martín, Agustín Yagüe:
DevOps Research-Based Teaching Using Qualitative Research and Inter-Coder Agreement. IEEE Trans. Software Eng. 48(9): 3378-3393 (2022) - [j6]Daniel López-Fernández, Jessica Díaz, Javier Garcia, Jorge Pérez, Ángel González-Prieto:
DevOps Team Structures: Characterization and Implications. IEEE Trans. Software Eng. 48(10): 3716-3736 (2022) - [i14]Edgar Talavera, Guillermo Iglesias, Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval:
Data Augmentation techniques in time series domain: A survey and taxonomy. CoRR abs/2206.13508 (2022) - [i13]Ángel González-Prieto, Alberto Mozo, Edgar Talavera, Sandra Gómez Canaval:
Dynamics of Fourier Modes in Torus Generative Adversarial Networks. CoRR abs/2209.01842 (2022) - [i12]Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera:
ResBeMF: Improving Prediction Coverage of Classification based Collaborative Filtering. CoRR abs/2210.10619 (2022) - 2021
- [j5]Jessica Díaz, Daniel López-Fernández, Jorge Pérez, Ángel González-Prieto:
Why are many businesses instilling a DevOps culture into their organization? Empir. Softw. Eng. 26(2): 25 (2021) - [j4]Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega:
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. Int. J. Interact. Multim. Artif. Intell. 6(6): 86-94 (2021) - [j3]Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla:
Providing reliability in recommender systems through Bernoulli Matrix Factorization. Inf. Sci. 553: 110-128 (2021) - [j2]Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera:
Deep learning feature selection to unhide demographic recommender systems factors. Neural Comput. Appl. 33(12): 7291-7308 (2021) - [i11]Daniel López-Fernández, Jessica Díaz, Javier García Martín, Jorge Pérez, Ángel González-Prieto:
DevOps Team Structures: Characterization and Implications. CoRR abs/2101.02361 (2021) - [i10]Ángel González-Prieto, Antonio Brú, Juan Carlos Nuño, José Luis González-Álvarez:
Machine learning for risk assessment in gender-based crime. CoRR abs/2106.11847 (2021) - [i9]Jessica Díaz, Jorge Enrique Pérez-Martínez, Carolina Gallardo, Ángel González-Prieto:
Applying Inter-rater Reliability and Agreement in Grounded Theory Studies in Software Engineering. CoRR abs/2107.11449 (2021) - [i8]Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto:
Deep Variational Models for Collaborative Filtering-based Recommender Systems. CoRR abs/2107.12677 (2021) - [i7]Alberto Mozo, Ángel González-Prieto, Antonio Pastor Perales, Sandra Gómez Canaval, Edgar Talavera:
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks. CoRR abs/2107.14776 (2021) - [i6]Ángel González-Prieto, Alberto Mozo, Sandra Gómez Canaval, Edgar Talavera:
Improving the quality of generative models through Smirnov transformation. CoRR abs/2110.15914 (2021) - 2020
- [j1]Fernando Ortega, Ángel González-Prieto, Jesús Bobadilla, Abraham Gutiérrez:
Collaborative Filtering to Predict Sensor Array Values in Large IoT Networks. Sensors 20(16): 4628 (2020) - [i5]Jessica Díaz, Daniel López-Fernández, Jorge Pérez, Ángel González-Prieto:
Why are many business instilling a DevOps culture into their organization? CoRR abs/2005.10388 (2020) - [i4]Fernando Ortega, Raúl Lara-Cabrera, Ángel González-Prieto, Jesús Bobadilla:
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization. CoRR abs/2006.03481 (2020) - [i3]Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega:
DeepFair: Deep Learning for Improving Fairness in Recommender Systems. CoRR abs/2006.05255 (2020) - [i2]Jesús Bobadilla, Ángel González-Prieto, Fernando Ortega, Raúl Lara-Cabrera:
Deep Learning feature selection to unhide demographic recommender systems factors. CoRR abs/2006.12379 (2020) - [i1]Ángel González-Prieto, Jorge Pérez, Jessica Díaz, Daniel López-Fernández:
Inter-Coder Agreement for Improving Reliability in Software Engineering Qualitative Research. CoRR abs/2008.00977 (2020)
Coauthor Index
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