| 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 35 (14), 10123-10145, 2023 | 124 | 2023 |
| Forecasting short-term data center network traffic load with convolutional neural networks A Mozo, B Ordozgoiti, S Gomez-Canaval PloS one 13 (2), e0191939, 2018 | 109 | 2018 |
| Detection of encrypted cryptomining malware connections with machine and deep learning A Pastor, A Mozo, S Vakaruk, D Canavese, DR López, L Regano, ... IEEE Access 8, 158036-158055, 2020 | 57 | 2020 |
| B5GEMINI: AI-driven network digital twin A Mozo, A Karamchandani, S Gómez-Canaval, M Sanz, JI Moreno, ... Sensors 22 (11), 4106, 2022 | 28 | 2022 |
| 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 (1), 2091, 2022 | 24 | 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 | 23 | 2022 |
| Networks of polarized evolutionary processors are computationally complete F Arroyo, S Gómez Canaval, V Mitrana, Ş Popescu Language and Automata Theory and Applications: 8th International Conference …, 2014 | 21 | 2014 |
| NPEPE: Massive natural computing engine for optimally solving NP-complete problems in Big Data scenarios S Gómez Canaval, B Ordozgoiti Rubio, A Mozo New Trends in Databases and Information Systems: ADBIS 2015 Short Papers and …, 2015 | 18 | 2015 |
| On the computational power of networks of polarized evolutionary processors F Arroyo, SG Canaval, V Mitrana, S Popescu Information and Computation 253, 371-380, 2017 | 15 | 2017 |
| Iterative column subset selection B Ordozgoiti, SG Canaval, A Mozo Knowledge and Information Systems 54, 65-94, 2018 | 13 | 2018 |
| A fast iterative algorithm for improved unsupervised feature selection B Ordozgoiti, SG Canaval, A Mozo 2016 IEEE 16th International Conference on Data Mining (ICDM), 390-399, 2016 | 13 | 2016 |
| Distributed simulation of NEPs based on-demand cloud elastic computation SG Canaval, AO de la Puente, PO González International Work-Conference on Artificial Neural Networks, 40-54, 2015 | 13 | 2015 |
| A Machine-Learning-Based Cyberattack Detector for a Cloud-Based SDN Controller A Mozo, A Karamchandani, L de la Cal, S Gómez-Canaval, A Pastor, ... Applied Sciences 13 (8), 4914, 2023 | 12 | 2023 |
| Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure B Ordozgoiti, A Mozo, SG Canaval, U Margolin, E Rosensweig, I Segall COSTAC 2017 59, 2017 | 11 | 2017 |
| Massively parallel unsupervised feature selection on spark B Ordozgoiti, S Gómez Canaval, A Mozo East European Conference on Advances in Databases and Information Systems …, 2015 | 11 | 2015 |
| Scalable prediction of service-level events in datacenter infrastructure using deep neural networks A Mozo, I Segall, U Margolin, S Gomez-Canaval IEEE Access 7, 179779-179798, 2019 | 9 | 2019 |
| Transformers for multi-horizon forecasting in an industry 4.0 use case S Vakaruk, A Karamchandani, JE Sierra-García, A Mozo, ... Sensors 23 (7), 3516, 2023 | 8 | 2023 |
| Improving the quality of generative models through Smirnov transformation Á González-Prieto, A Mozo, S Gómez-Canaval, E Talavera Information Sciences 609, 1539-1566, 2022 | 8 | 2022 |
| Dynamics of fourier modes in torus generative adversarial networks Á González-Prieto, A Mozo, E Talavera, S Gómez-Canaval Mathematics 9 (4), 325, 2021 | 7 | 2021 |
| Networks of splicing processors with evaluation sets as optimization problems solvers S Gómez-Canaval, V Mitrana, JR Sánchez-Couso Information Sciences 369, 457-466, 2016 | 7 | 2016 |
