| An Experimental Review on Deep Learning Architectures for Time Series Forecasting P Lara-Benítez, M Carranza-García, JC Riquelme International Journal of Neural Systems 31 (03), 2130001, 2021 | 349 | 2021 |
| Temporal convolutional networks applied to energy-related time series forecasting P Lara-Benítez, M Carranza-García, JM Luna-Romera, JC Riquelme applied sciences 10 (7), 2322, 2020 | 173 | 2020 |
| On the performance of one-stage and two-stage object detectors in autonomous vehicles using camera data M Carranza-García, J Torres-Mateo, P Lara-Benítez, J García-Gutiérrez Remote Sensing 13 (1), 89, 2020 | 167 | 2020 |
| Asynchronous dual-pipeline deep learning framework for online data stream classification P Lara-Benítez, M Carranza-García, J García-Gutiérrez, JC Riquelme Integrated Computer-Aided Engineering 27 (2), 101-119, 2020 | 53 | 2020 |
| Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance M Carranza-García, P Lara-Benítez, J García-Gutiérrez, JC Riquelme Neurocomputing 449, 229-244, 2021 | 38 | 2021 |
| Evaluation of the transformer architecture for univariate time series forecasting P Lara-Benítez, L Gallego-Ledesma, M Carranza-García, ... Advances in Artificial Intelligence: 19th Conference of the Spanish …, 2021 | 19 | 2021 |
| Short-term solar irradiance forecasting in streaming with deep learning P Lara-Benítez, M Carranza-García, JM Luna-Romera, JC Riquelme Neurocomputing 546, 126312, 2023 | 11 | 2023 |
| Data streams classification using deep learning under different speeds and drifts P Lara-Benítez, M Carranza-García, D Gutiérrez-Avilés, JC Riquelme Logic Journal of the IGPL 31 (4), 688-700, 2023 | 5 | 2023 |
| On the performance of deep learning models for time series classification in streaming P Lara-Benítez, M Carranza-García, F Martínez-Álvarez, JC Riquelme 15th International Conference on Soft Computing Models in Industrial and …, 2020 | 4 | 2020 |
| ADLStream: asynchronous dual-pipeline deep learning framework for online data stream mining P Lara-Benítez, M Carranza-García | 4 | 2020 |
| Feature selection on spatio-temporal data for solar irradiance forecasting M Carranza-García, P Lara-Benítez, JM Luna-Romera, JC Riquelme 16th International Conference on Soft Computing Models in Industrial and …, 2022 | 2 | 2022 |
| A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case JM Riquelme-Dominguez, M Carranza-García, P Lara-Benítez, ... International Journal of Electrical Power & Energy Systems 156, 109730, 2024 | 1 | 2024 |
| Predicción de series temporales en streaming mediante Deep Learning P Lara Benítez | | 2022 |
Manuel Carranza-GarcíaAssistant Professor at University of SevillaVerified email at us.es
