idUS - Author profile: Carranza García, Manuel

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Name	Carranza García, Manuel
Department	Lenguajes y Sistemas Informáticos
Knowledge area	Lenguajes y Sistemas Informáticos
Professional category	Profesor Sustituto Interino
E-mail	Request

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12
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PhD Thesis Deep learning for enhancing object detection in autonomous driving Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal; García Gutiérrez, Jorge; García Gutiérrez, Jorge; Carranza García, Manuel; Carranza García, Manuel (2022-06-20) Autonomous driving is one of the most important technological challenges of this century. Its development will revolutionize ...
Presentation Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation Cabello López, Tomás; Cabello López, Tomás; Cañizares Juan, Manuel; Cañizares Juan, Manuel; Carranza García, Manuel; Carranza García, Manuel; García Gutiérrez, Jorge; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (Springer, 2022-01-01) Most of the current data sources generate large amounts of data over time. Renewable energy generation is one example of ...
Article Data streams classification using deep learning under different speeds and drifts Lara Benítez, Pedro; Lara Benítez, Pedro; Carranza García, Manuel; Carranza García, Manuel; Gutiérrez Avilés, David; Gutiérrez Avilés, David; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (Oxford University Press, 2022-01-01) Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. ...
Article Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance Carranza García, Manuel; Carranza García, Manuel; Lara Benítez, Pedro; Lara Benítez, Pedro; García Gutiérrez, Jorge; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (ScienceDirect, 2021-08-18) Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ...
Article On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data Carranza García, Manuel; Carranza García, Manuel; Torres Mateo, Jesús; Torres Mateo, Jesús; Lara Benítez, Pedro; Lara Benítez, Pedro; García Gutiérrez, Jorge; García Gutiérrez, Jorge (MDPI, 2021-01-01) Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many ...
Article An Experimental Review on Deep Learning Architectures for Time Series Forecasting Lara Benítez, Pedro; Lara Benítez, Pedro; Carranza García, Manuel; Carranza García, Manuel; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (World Scientific, 2021-01-01) In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural ...
Presentation Evaluation of the transformer architecture for univariate time series forecasting Lara Benítez, Pedro; Lara Benítez, Pedro; Gallego Ledesma, Luis; Gallego Ledesma, Luis; Carranza García, Manuel; Carranza García, Manuel; Luna Romera, José María; Luna Romera, José María (Springer, 2021-01-01) The attention-based Transformer architecture is earning in- creasing popularity for many machine learning tasks. In this ...
Article Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance Carranza García, Manuel; Carranza García, Manuel; Lara Benítez, Pedro; Lara Benítez, Pedro; García Gutiérrez, Jorge; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (Elsevier, 2021-01-01) Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ...
Article Asynchronous dual-pipeline deep learning framework for online data stream classification Lara Benítez, Pedro; Lara Benítez, Pedro; Carranza García, Manuel; Carranza García, Manuel; García Gutiérrez, Jorge; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (IOS Press, 2020-01-01) Data streaming classification has become an essential task in many fields where real-time decisions have to be made based ...
Presentation On the performance of deep learning models for time series classification in streaming Lara Benítez, Pedro; Lara Benítez, Pedro; Carranza García, Manuel; Carranza García, Manuel; Martínez Álvarez, Francisco; Martínez Álvarez, Francisco; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (Springer, 2020-01-01) Processing data streams arriving at high speed requires the development of models that can provide fast and accurate ...
Article Temporal convolutional networks applied to energy-related time series forecasting Lara Benítez, Pedro; Lara Benítez, Pedro; Carranza García, Manuel; Carranza García, Manuel; Luna Romera, José María; Luna Romera, José María; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (MDPI, 2020-01-01) Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric ...
Article A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks Carranza García, Manuel; Carranza García, Manuel; García Gutiérrez, Jorge; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal; Riquelme Santos, José Cristóbal (MDPI, 2019-01-01) Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social ...