Manuel Carranza-García

25 papers B 1Misc 1Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
MuDeNet: A multi-patch descriptor network for anomaly modeling.
Inf. Fusion
Miguel Campos-Romero, Manuel Carranza-García, Robert-Jan Sips, José C. Riquelme
2026 J jnl
NVS-HO: A Benchmark for Novel View Synthesis of Handheld Objects.
CoRR
Musawar Ali, Manuel Carranza-García, Nicola Fioraio, Samuele Salti, Luigi Di Stefano
2025 J jnl
A real-time machine learning-based methodology for short-term frequency nadir prediction in low-inertia power systems.
Neurocomputing
Manuel Jesús Jiménez-Navarro, Jose Miguel Riquelme-Dominguez, Manuel Carranza-García, Francisco M. González-Longatt
2024 J jnl
Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning.
Eng. Appl. Artif. Intell.
Miguel Campos-Romero, Manuel Carranza-García, José C. Riquelme
2024 J jnl
Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation.
Integr. Comput. Aided Eng.
Jose L. Salazar-González, José María Luna-Romera, Manuel Carranza-García, Juan Antonio Álvarez-García, Luis Miguel Soria-Morillo
2023 — conf
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform.
SOCO (1)
Francisco Javier Galán-Sales, Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera
2023 — conf
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation.
CISIS-ICEUTE
Manuel Jesús Jiménez-Navarro, Belén Vega-Márquez, José María Luna-Romera, Manuel Carranza-García, María Martínez-Ballesteros
2023 J jnl
Data streams classification using deep learning under different speeds and drifts.
Log. J. IGPL
Pedro Lara-Benítez, Manuel Carranza-García, David Gutiérrez-Avilés, José C. Riquelme
2023 — conf
Efficient Short-Term Time Series Forecasting with Regression Trees.
SOCO (2)
Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme
2023 J jnl
Short-term solar irradiance forecasting in streaming with deep learning.
Neurocomputing
Pedro Lara-Benítez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme
2022 Misc conf
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation.
HAIS
Tomás Cabello-López, Manuel Cañizares-Juan, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme
2022 J jnl
Object detection using depth completion and camera-LiDAR fusion for autonomous driving.
Integr. Comput. Aided Eng.
Manuel Carranza-García, Francisco Javier Galán-Sales, José María Luna-Romera, José C. Riquelme
2022 B conf
Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving.
ICIP
Manuel Carranza-García, José C. Riquelme, Avideh Zakhor
2021 J jnl
An Experimental Review on Deep Learning Architectures for Time Series Forecasting.
CoRR
Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme
2021 J jnl
An Experimental Review on Deep Learning Architectures for Time Series Forecasting.
Int. J. Neural Syst.
Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme
2021 J jnl
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance.
CoRR
Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme
2021 J jnl
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance.
Neurocomputing
Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme
2021 — conf
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting.
CAEPIA
Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García, José María Luna-Romera
2021 — conf
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting.
SOCO
Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme
2021 J jnl
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data.
Remote. Sens.
Manuel Carranza-García, Jesús Torres-Mateo, Pedro Lara-Benítez, Jorge García-Gutiérrez
2021 — conf
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology.
SOCO
José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos
2020 J jnl
Asynchronous dual-pipeline deep learning framework for online data stream classification.
Integr. Comput. Aided Eng.
Pedro Lara-Benítez, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme
2020 — conf
On the Performance of Deep Learning Models for Time Series Classification in Streaming.
SOCO
Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
2020 J jnl
On the performance of deep learning models for time series classification in streaming.
CoRR
Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
2019 J jnl
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks.
Remote. Sens.
Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme