Výsledky vyhledávání - "BENÍTEZ, PEDRO"

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Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance

Autor: Carranza-García, Manuel, Lara-Benítez, Pedro, García-Gutiérrez, Jorge, Riquelme, José C.

Publikováno v: Neurocomputing, 2021

Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly focused on pushing the state-of-the-art in the general-purpose COCO benchmark. However, the use of such detection frameworks in sp

Externí odkaz: http://arxiv.org/abs/2104.03888

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An Experimental Review on Deep Learning Architectures for Time Series Forecasting

Autor: Lara-Benítez, Pedro, Carranza-García, Manuel, Riquelme, José C.

Publikováno v: International Journal of Neural Systems, Vol. 31, No. 3 (2021) 2130001

In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural networks have successfully been applied to address time series forecasting problems, which is a very important topic in data mi

Externí odkaz: http://arxiv.org/abs/2103.12057

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Akademický článek

A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case

Autor: Riquelme-Dominguez, Jose Miguel, Carranza-García, Manuel, Lara-Benítez, Pedro, González-Longatt, Francisco M.

Publikováno v: In International Journal of Electrical Power and Energy Systems February 2024 156

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On the performance of deep learning models for time series classification in streaming

Autor: Lara-Benítez, Pedro, Carranza-García, Manuel, Martínez-Álvarez, Francisco, Riquelme, José C.

Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, their performance in real-time d

Externí odkaz: http://arxiv.org/abs/2003.02544

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