Pedro Lara-Benítez

According to our database, Pedro Lara-Benítez authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Data streams classification using deep learning under different speeds and drifts.

Pedro Lara-Benítez, Manuel Carranza-García, David Gutiérrez-Avilés, José C. Riquelme

Log. J. IGPL, July, 2023

Short-term solar irradiance forecasting in streaming with deep learning.

Pedro Lara-Benítez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme

Neurocomputing, 2023

2021

On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data.

Manuel Carranza-García, Jesús Torres-Mateo, Pedro Lara-Benítez, Jorge García-Gutiérrez

Remote. Sens., 2021

Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance.

Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme

Neurocomputing, 2021

An Experimental Review on Deep Learning Architectures for Time Series Forecasting.

Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme

Int. J. Neural Syst., 2021

Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting.

Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Evaluation of the Transformer Architecture for Univariate Time Series Forecasting.

Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García, José María Luna-Romera

Proceedings of the Advances in Artificial Intelligence, 2021

2020

Asynchronous dual-pipeline deep learning framework for online data stream classification.

Pedro Lara-Benítez, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme

Integr. Comput. Aided Eng., 2020

On the Performance of Deep Learning Models for Time Series Classification in Streaming.

Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020