Directorio
MANUEL CARRANZA GARCIA
Categoría
Profesor Ayudante Doctor
Contacto
Correo electrónico
Departamento
Área
Lenguajes y Sistema Informáticos
Docencia
Investigación
Grupo de investigación
SISTEMAS INFORMATICOS (SISTEMAS INFORMATICOS)
Proyectos y contratos de investigación
Plataforma wearable para el diagnóstico temprano de trastornos emocionales y agudizaciones en pacientes con enfermedades crónicas mediante el uso de I (P001-21/E22 - Investigador/a)
Modelos de Deep Learning para sistemas de energía renovable: predicción de generación y mantenimiento preventivo y predictivo (PYC20 RE 078 US - Investigador/a)
Big Data Streaming: Análisis de Datos Masivos Continuos. Modelos Descriptivos (TIN2017-88209-C2-2-R - Participante)
Modelos híbridos adaptativos para predecir la producción de energías renovables solar y eólica (P18-RT-2778 - Investigador/a)
IA + IoT para la construcción de Servicios de Hogar Inteligente II (P011-21/E22 - Investigador/a)
IA + IoT para la construcción de Servicios de Hogar Inteligente I (P008-20/E22 - Investigador/a)
RAYUELA II Desarrollo de Estudios y Análisis en RAYUELA Inteligente (P011-20/E22 - Investigador/a)
Aprendizaje profundo y transferencia de aprendizaje eficientes para salud y movilidad conectada (PID2020-117954RB-C22 - Investigador/a)
Big Time-Aware Data: Análisis de Datos Masivos Indexados en el Tiempo. Reglas y Clustering. (TIN2014-55894-C2-1-R - Participante)
Asistencia a congresos
Galán-sales, F. Javier;Reina-jiménez, Pablo;Manuel Carranza-García;Luna, José María:
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca. 2023
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca. 2023
Jiménez-navarro, Manuel J.;Vega-Márquez, Belén;Luna, José María;Manuel Carranza-García;M. Martínez-Ballesteros:
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. Ponencia en Congreso. 14th International Conference on EUropean Transnational Education . Salamanca. 2023
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. Ponencia en Congreso. 14th International Conference on EUropean Transnational Education . Salamanca. 2023
Reina-jiménez, Pablo;Manuel Carranza-García;Luna, José María;Riquelme-Santos, José Cristóbal:
Efficient Short-Term Time Series Forecasting with Regression Trees. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca. 2023
Efficient Short-Term Time Series Forecasting with Regression Trees. Ponencia en Congreso. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca. 2023
Manuel Carranza-García;Riquelme-Santos, José Cristóbal;Zakhor, Avideh:
Temporal Axial Attention For Lidar-Based 3D Object Detection In Autonomous Driving. Ponencia en Congreso. 2022 IEEE International Conference on Image Processing (ICIP). Burdeos. 2022
Temporal Axial Attention For Lidar-Based 3D Object Detection In Autonomous Driving. Ponencia en Congreso. 2022 IEEE International Conference on Image Processing (ICIP). Burdeos. 2022
Cabello-lópez, Tomás;Cañizares-juan, Manuel;Manuel Carranza-García;García-Gutiérrez, Jorge;Riquelme-Santos, José Cristóbal:
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. Ponencia en Congreso. International Conference on Hybrid Artificial Intelligence Systems. - Salamanca, España. 2022
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. Ponencia en Congreso. International Conference on Hybrid Artificial Intelligence Systems. - Salamanca, España. 2022
Luna, José María;Manuel Carranza-García;Gutiérrez-avilés, David;Riquelme-Santos, José Cristóbal:
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. Ponencia en Congreso. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilba. 2021
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. Ponencia en Congreso. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilba. 2021
Lara, Pedro;Gallego-ledesma, Luis;Manuel Carranza-García;Luna, José María:
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting. Ponencia en Congreso. 19th Conference of the Spanish Association for Artificial Intelligence. Málaga. 2021
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting. Ponencia en Congreso. 19th Conference of the Spanish Association for Artificial Intelligence. Málaga. 2021
Manuel Carranza-García;Lara, Pedro;Luna, José María;Riquelme-Santos, José Cristóbal:
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. Ponencia en Congreso. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilba. 2021
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. Ponencia en Congreso. 16th International Conference on Soft Computing Models in Industrial and Environmental Applications. Bilba. 2021
Lara, Pedro;Manuel Carranza-García;Martínez-Álvarez, Francisco;Riquelme-Santos, José Cristóbal:
On the performance of deep learning models for time series classification in streaming. Ponencia en Congreso. 15th International Conference on Soft Computing Models in Industrial and Environmental Applications. BURGOS, ESPAÑA. 2020
On the performance of deep learning models for time series classification in streaming. Ponencia en Congreso. 15th International Conference on Soft Computing Models in Industrial and Environmental Applications. BURGOS, ESPAÑA. 2020
Manuel Carranza-García:
Temporal Axial Attention For Lidar-Based 3D Object Detection In Autonomous Driving. Ponencia en Congreso. . .
Temporal Axial Attention For Lidar-Based 3D Object Detection In Autonomous Driving. Ponencia en Congreso. . .
Artículos publicados
Lara, Pedro;Manuel Carranza-García;Luna, José María;Riquelme-Santos, José Cristóbal:
Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing. 2023. Vol: 546. 10.1016/j.neucom.2023.126312.
Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing. 2023. Vol: 546. 10.1016/j.neucom.2023.126312.
Manuel Carranza-García;Cabello-lópez, Tomás:
Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level. Applied Energy. 2023. Vol: 350. 10.1016/j.apenergy.2023.121645.
Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level. Applied Energy. 2023. Vol: 350. 10.1016/j.apenergy.2023.121645.
Cabello-lópez, Tomás;Manuel Carranza-García;Riquelme-Santos, José Cristóbal;García-Gutiérrez, Jorge:
Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level. Applied Energy. 2023. Vol: 350. 10.1016/j.apenergy.2023.121645.
Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level. Applied Energy. 2023. Vol: 350. 10.1016/j.apenergy.2023.121645.
Lara, Pedro;Manuel Carranza-García;Gutiérrez-avilés, David;Riquelme-Santos, José Cristóbal:
Data streams classification using deep learning under different speeds and drifts. Interest Group in Pure and Applied Logics. Logic Journal. 2022. https://doi.org/10.1093/jigpal/jzac033.
Data streams classification using deep learning under different speeds and drifts. Interest Group in Pure and Applied Logics. Logic Journal. 2022. https://doi.org/10.1093/jigpal/jzac033.
Manuel Carranza-García;Galán-sales, Francisco Javier;Luna, José María;Riquelme-Santos, José Cristóbal:
Object Detection Using Depth Completion and Camera-LiDAR Fusion for Autonomous Driving. Integrated Computer-Aided Engineering. 2022. Vol: 29. Núm: 3. Pág. 241-258. 10.3233/ICA-220681.
Object Detection Using Depth Completion and Camera-LiDAR Fusion for Autonomous Driving. Integrated Computer-Aided Engineering. 2022. Vol: 29. Núm: 3. Pág. 241-258. 10.3233/ICA-220681.
Manuel Carranza-García;Torres-mateo, Jesús;Lara, Pedro;García-Gutiérrez, Jorge:
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data. Remote Sensing. 2021. Vol: 13. Núm: 1. 10.3390/rs13010089.
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data. Remote Sensing. 2021. Vol: 13. Núm: 1. 10.3390/rs13010089.
Manuel Carranza-García;Lara, Pedro;García-Gutiérrez, Jorge;Riquelme-Santos, José Cristóbal:
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. Neurocomputing. 2021. Vol: 449. Pág. 229-244. 10.1016/j.neucom.2021.04.001.
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. Neurocomputing. 2021. Vol: 449. Pág. 229-244. 10.1016/j.neucom.2021.04.001.
Lara, Pedro;Manuel Carranza-García;Riquelme-Santos, José Cristóbal:
An Experimental Review on Deep Learning Architectures for Time Series Forecasting. International Journal of Neural Systems. 2021. Vol: 31. Núm: 3. https://doi.org/10.1142/S0129065721300011.
An Experimental Review on Deep Learning Architectures for Time Series Forecasting. International Journal of Neural Systems. 2021. Vol: 31. Núm: 3. https://doi.org/10.1142/S0129065721300011.
Lara, Pedro;Manuel Carranza-García;García-Gutiérrez, Jorge;Riquelme-Santos, José Cristóbal:
Asynchronous dual-pipeline deep learning framework for online data stream classification. Integrated Computer-Aided Engineering. 2020. Vol: 27. Núm: 2. Pág. 101-119. 10.3233/ICA-200617.
Asynchronous dual-pipeline deep learning framework for online data stream classification. Integrated Computer-Aided Engineering. 2020. Vol: 27. Núm: 2. Pág. 101-119. 10.3233/ICA-200617.
Lara, Pedro;Manuel Carranza-García;Luna, José María;Riquelme-Santos, José Cristóbal:
Temporal Convolutional Networks Applied to Energy-related Time Series Forecasting. Applied Sciences. 2020. Vol: 10. Núm: 7. 10.3390/app10072322.
Temporal Convolutional Networks Applied to Energy-related Time Series Forecasting. Applied Sciences. 2020. Vol: 10. Núm: 7. 10.3390/app10072322.
Manuel Carranza-García;García-Gutiérrez, Jorge;Riquelme-Santos, José Cristóbal:
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. Remote Sensing. 2019. Vol: 11. Núm: 3. 10.3390/rs11030274.
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. Remote Sensing. 2019. Vol: 11. Núm: 3. 10.3390/rs11030274.
