Pedro Lara-Benítez

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Grand Challenge

Autonomous Driving

Learning Models

Top Venues

Publications

Pedro Lara-Benítez, Manuel Carranza-García, David Gutiérrez-Avilés, José C. Riquelme
Data streams classification using deep learning under different speeds and drifts. Log. J. IGPL 31 (4) (2023)
Pedro Lara-Benítez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme
Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing 546 (2023)
Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme
An Experimental Review on Deep Learning Architectures for Time Series Forecasting. Int. J. Neural Syst. 31 (3) (2021)
Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. SOCO (2021)
Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. Neurocomputing 449 (2021)
Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance. CoRR (2021)
Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García, José María Luna-Romera
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting. CAEPIA (2021)
Manuel Carranza-García, Jesús Torres-Mateo, Pedro Lara-Benítez, Jorge García-Gutiérrez
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data. Remote. Sens. 13 (1) (2021)
Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme
An Experimental Review on Deep Learning Architectures for Time Series Forecasting. CoRR (2021)
Pedro Lara-Benítez, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme
Asynchronous dual-pipeline deep learning framework for online data stream classification. Integr. Comput. Aided Eng. 27 (2) (2020)
Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
On the Performance of Deep Learning Models for Time Series Classification in Streaming. SOCO (2020)
Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
On the performance of deep learning models for time series classification in streaming. CoRR (2020)