| 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 | 207 | 2021 |
| A framework for evaluating land use and land cover classification using convolutional neural networks M Carranza-García, J García-Gutiérrez, JC Riquelme Remote Sensing 11 (3), 274, 2019 | 148 | 2019 |
| 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 | 111 | 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 | 98 | 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 | 40 | 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 | 22 | 2021 |
| Evaluation of the Transformer Architecture for Univariate Time Series Forecasting P Lara-Benítez, L Gallego-Ledesma, M Carranza-García, ... Conference of the Spanish Association for Artificial Intelligence, 106-115, 2021 | 4 | 2021 |
| 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 | 3 | 2020 |
| 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, jzac033, 2022 | 2 | 2022 |
| Object detection using depth completion and camera-LiDAR fusion for autonomous driving M Carranza-García, FJ Galán-Sales, JM Luna-Romera, JC Riquelme Integrated Computer-Aided Engineering, 1-18, 2022 | 2 | 2022 |
| 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 | 1 | 2022 |
| Short-Term Solar Irradiance Forecasting in Streaming with Deep Learning P Lara-Benítez, M Carranza-García, JM Luna-Romera, JC Riquelme Neurocomputing, 126312, 2023 | | 2023 |
| Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving M Carranza-García, JC Riquelme, A Zakhor 2022 IEEE International Conference on Image Processing (ICIP), 201-205, 2022 | | 2022 |
| Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation T Cabello-López, M Cañizares-Juan, M Carranza-García, ... Hybrid Artificial Intelligent Systems: 17th International Conference, HAIS …, 2022 | | 2022 |
| Deep learning for enhancing object detection in autonomous driving M Carranza García | | 2022 |
| Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology JM Luna-Romera, M Carranza-García, D Gutiérrez-Avilés, ... 16th International Conference on Soft Computing Models in Industrial and …, 2022 | | 2022 |
| Artificial intelligence techniques for improving the perception systems of autonomous vehicles M Carranza-García, J García-Gutiérrez, JC Riquelme XIX Conferencia de la Asociación Española para la Inteligencia Artificial …, 2021 | | 2021 |
José C. RiquelmeUniversidad de SevillaVerified email at us.es
