Manuel Carranza-García

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Fast Fourier Transform

Autonomous Driving

Electricity Consumption

Top Venues

Integr. Comput. Aided Eng.

Publications

Miguel Campos-Romero, Manuel Carranza-García, José C. Riquelme
Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning. Eng. Appl. Artif. Intell. 137 (2024)
Jose L. Salazar-González, José María Luna-Romera, Manuel Carranza-García, Juan Antonio Álvarez-García, Luis Miguel Soria-Morillo
Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation. Integr. Comput. Aided Eng. 31 (3) (2024)
Manuel Jesús Jiménez-Navarro, Belén Vega-Márquez, José María Luna-Romera, Manuel Carranza-García, María Martínez-Ballesteros
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. CISIS-ICEUTE (2023)
Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme
Efficient Short-Term Time Series Forecasting with Regression Trees. SOCO (2) (2023)
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)
F. Javier Galán-Sales, Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform. SOCO (1) (2023)
Manuel Carranza-García, José C. Riquelme, Avideh Zakhor
Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving. ICIP (2022)
Manuel Carranza-García, F. Javier Galán-Sales, José María Luna-Romera, José C. Riquelme
Object detection using depth completion and camera-LiDAR fusion for autonomous driving. Integr. Comput. Aided Eng. 29 (3) (2022)
Tomás Cabello-López, Manuel Cañizares-Juan, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. HAIS (2022)
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)
José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. 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. 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)
Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. Remote. Sens. 11 (3) (2019)