Manuel Carranza-García

According to our database, Manuel Carranza-García authored at least 17 papers between 2019 and 2023.

Collaborative distances:

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

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

Efficient Short-Term Time Series Forecasting with Regression Trees.

Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

An Approach to Enhance Time Series Forecasting by Fast Fourier Transform.

F. Javier Galán-Sales, Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation.

Manuel Jesús Jiménez-Navarro, Belén Vega-Márquez, José María Luna-Romera, Manuel Carranza-García, María Martínez-Ballesteros

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022

Object detection using depth completion and camera-LiDAR fusion for autonomous driving.

Manuel Carranza-García, F. Javier Galán-Sales, José María Luna-Romera, José C. Riquelme

Integr. Comput. Aided Eng., 2022

Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving.

Manuel Carranza-García, José C. Riquelme, Avideh Zakhor

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation.

Tomás Cabello-López, Manuel Cañizares-Juan, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

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

Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology.

José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos

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

2019

A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks.

Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme

Remote. Sens., 2019