| Data Augmentation techniques in time series domain: a survey and taxonomy G Iglesias, E Talavera, Á González-Prieto, A Mozo, S Gómez-Canaval Neural Computing and Applications, 1-23, 2023 | 100 | 2023 |
| DeepFair: Deep Learning for Improving Fairness in Recommender Systems J Bobadilla, R Lara-Cabrera, Á González-Prieto, F Ortega International Journal of Interactive Multimedia and Artificial Intelligence …, 2021 | 56 | 2021 |
| Why are many businesses instilling a DevOps culture into their organization? J Díaz, D López-Fernández, J Pérez, Á González-Prieto Empirical Software Engineering 26 (2), 1-50, 2021 | 48 | 2021 |
| Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems R Lara-Cabrera, Á González-Prieto, F Ortega Applied Sciences 10 (14), 4926, 2020 | 41 | 2020 |
| Providing reliability in recommender systems through Bernoulli matrix factorization F Ortega, R Lara-Cabrera, Á González-Prieto, J Bobadilla Information Sciences 553, 110-128, 2021 | 40 | 2021 |
| A lax monoidal Topological Quantum Field Theory for representation varieties Á González-Prieto, M Logares, V Muñoz Bulletin des Sciences Mathématiques 161, 102871, 2020 | 29 | 2020 |
| Applying Inter-rater Reliability and Agreement in Grounded Theory Studies in Software Engineering J Díaz, J Pérez, C Gallardo, Á González-Prieto Journal of Systems and Software 195, 2023 | 28 | 2023 |
| Deep Learning feature selection to unhide demographic recommender systems factors J Bobadilla, Á González-Prieto, F Ortega, R Lara-Cabrera Neural Computing and Applications 33, 7291–7308, 2021 | 27 | 2021 |
| DevOps Team Structures: Characterization and Implications D López-Fernández, J Díaz, J García, J Pérez, Á González-Prieto To appear in IEEE Transactions on Software Engineering, 2021 | 25 | 2021 |
| Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks A Mozo, Á González-Prieto, A Pastor, S Gómez-Canaval, E Talavera Scientific Reports 12, 2022 | 23 | 2022 |
| Edge computing: A grounded theory study J Pérez, J Díaz, J Berrocal, R López-Viana, Á González-Prieto Computing 104 (12), 2711-2747, 2022 | 21 | 2022 |
| Chlorophyll soft-sensor based on machine learning models for algal bloom predictions A Mozo, J Morón-López, S Vakaruk, ÁG Pompa-Pernía, ... Scientific Reports 12 (1), 13529, 2022 | 19 | 2022 |
| Virtual classes of parabolic SL2 (C)-character varieties Á González-Prieto Advances in Mathematics 368, 107148, 2020 | 19 | 2020 |
| Neural collaborative filtering classification model to obtain prediction reliabilities J Bobadilla, A Gutiérrez, S Alonso, Á González-Prieto Int. J. Interact. Multimed. Artif. Intell, 2021 | 18 | 2021 |
| Hybrid machine learning methods for risk assessment in gender-based crime Á González-Prieto, A Brú, JC Nuño, JL González-Álvarez Knowledge-Based Systems, 2023 | 16* | 2023 |
| PhD Thesis: Topological Quantum Field Theories for Character Varieties Á González-Prieto arXiv preprint arXiv:1812.11575, 2018 | 16 | 2018 |
| Motivic theory of representation varieties via Topological Quantum Field Theories Á González-Prieto arXiv preprint arXiv:1810.09714v2, 2018 | 16* | 2018 |
| Pseudo-quotients of algebraic actions and their application to character varieties Á González-Prieto arXiv preprint arXiv:1807.08540, 2018 | 16* | 2018 |
| Evolving Matrix-Factorization-Based Collaborative Filtering Using Genetic Programming R Lara-Cabrera, Á González-Prieto, F Ortega Requena, ... Applied Sciences, 2020 | 12 | 2020 |
| Reliability in software engineering qualitative research through Inter-Coder Agreement Á González-Prieto, J Perez, J Diaz, D López-Fernández Journal of Systems and Software, 2023 | 10* | 2023 |
Fernando OrtegaDpto. Sistemas Informáticos, ETSI de Sistemas Informáticos, Universidad Politécnica de Madrid在 upm.es 的电子邮件经过验证
