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Listar por autor "Lara Benítez, Pedro"
Mostrando ítems 1-12 de 12
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Artículo
A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case
Riquelme Domínguez, José Miguel; Carranza García, Manuel; Lara Benítez, Pedro; González Longatt, Francisco (Elsevier, 2023-12)The progressive substitution of conventional synchronous generation for renewable-based generation imposes a series of ...
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Artículo
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
Lara Benítez, Pedro; Carranza García, Manuel; Riquelme Santos, José Cristóbal (World Scientific, 2021)In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural ...
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Artículo
Asynchronous dual-pipeline deep learning framework for online data stream classification
Lara Benítez, Pedro; Carranza García, Manuel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (IOS Press, 2020)Data streaming classification has become an essential task in many fields where real-time decisions have to be made based ...
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Artículo
Data streams classification using deep learning under different speeds and drifts
Lara Benítez, Pedro; Carranza García, Manuel; Gutiérrez Avilés, David; Riquelme Santos, José Cristóbal (Oxford University Press, 2022)Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. ...
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Artículo
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
Carranza García, Manuel; Lara Benítez, Pedro; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2021)Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly ...
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Artículo
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
Carranza García, Manuel; Lara Benítez, Pedro; García Gutiérrez, Jorge; 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 ...
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Ponencia
Evaluation of the transformer architecture for univariate time series forecasting
Lara Benítez, Pedro; Gallego Ledesma, Luis; Carranza García, Manuel; Luna Romera, José María (Springer, 2021)The attention-based Transformer architecture is earning in- creasing popularity for many machine learning tasks. In this ...
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Ponencia
On the performance of deep learning models for time series classification in streaming
Lara Benítez, Pedro; Carranza García, Manuel; Martínez Álvarez, Francisco; Riquelme Santos, José Cristóbal (Springer, 2020)Processing data streams arriving at high speed requires the development of models that can provide fast and accurate ...
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Artículo
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
Carranza García, Manuel; Torres Mateo, Jesús; Lara Benítez, Pedro; García Gutiérrez, Jorge (MDPI, 2021)Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many ...
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Tesis Doctoral
Predicción de series temporales en streaming mediante Deep Learning
Lara Benítez, Pedro (2022-06-27)Esta tesis, presentada como un compendio de artículos de investigación, aborda la predicción de series temporales en un ...
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Artículo
Short-term solar irradiance forecasting in streaming with deep learning
Lara Benítez, Pedro; Carranza García, Manuel; Luna Romera, José María; Riquelme Santos, José Cristóbal (Elsevier, 2023)Solar energy is one of the most common and promising sources of renewable energy. In photovoltaic (PV) systems, operators ...
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Artículo
Temporal convolutional networks applied to energy-related time series forecasting
Lara Benítez, Pedro; Carranza García, Manuel; Luna Romera, José María; Riquelme Santos, José Cristóbal (MDPI, 2020)Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric ...