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Pedro Lara-Benítez
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2020 – today
- 2023
- [j6]Pedro Lara-Benítez, Manuel Carranza-García
, David Gutiérrez-Avilés, José C. Riquelme:
Data streams classification using deep learning under different speeds and drifts. Log. J. IGPL 31(4): 688-700 (2023) - [j5]Pedro Lara-Benítez, Manuel Carranza-García
Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing 546: 126312 (2023) - 2021
- [j4]Pedro Lara-Benítez, Manuel Carranza-García
An Experimental Review on Deep Learning Architectures for Time Series Forecasting. Int. J. Neural Syst. 31(3): 2130001:1-2130001:28 (2021) - [j3]Manuel Carranza-García
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. Neurocomputing 449: 229-244 (2021) - [j2]Manuel Carranza-García
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data. Remote. Sens. 13(1): 89 (2021) - [c3]Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting. CAEPIA 2021: 106-115 - [c2]Manuel Carranza-García
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. SOCO 2021: 654-664 - [i3]Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme:
An Experimental Review on Deep Learning Architectures for Time Series Forecasting. CoRR abs/2103.12057 (2021) - [i2]Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme:
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance. CoRR abs/2104.03888 (2021) - 2020
- [j1]Pedro Lara-Benítez, Manuel Carranza-García
Asynchronous dual-pipeline deep learning framework for online data stream classification. Integr. Comput. Aided Eng. 27(2): 101-119 (2020) - [c1]Pedro Lara-Benítez, Manuel Carranza-García
On the Performance of Deep Learning Models for Time Series Classification in Streaming. SOCO 2020: 144-154 - [i1]Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme:
On the performance of deep learning models for time series classification in streaming. CoRR abs/2003.02544 (2020)
Coauthor Index
aka: José C. Riquelme
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