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Manuel Carranza-García
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Journal Articles
- 2024
- [j10]Miguel Campos-Romero
, Manuel Carranza-García
Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning. Eng. Appl. Artif. Intell. 137: 109088 (2024) - [j9]Jose L. Salazar-González, José María Luna-Romera
Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation. Integr. Comput. Aided Eng. 31(3): 307-326 (2024) - 2023
- [j8]Pedro Lara-Benítez, Manuel Carranza-García
Data streams classification using deep learning under different speeds and drifts. Log. J. IGPL 31(4): 688-700 (2023) - [j7]Pedro Lara-Benítez, Manuel Carranza-García
Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing 546: 126312 (2023) - 2022
- [j6]Manuel Carranza-García
Object detection using depth completion and camera-LiDAR fusion for autonomous driving. Integr. Comput. Aided Eng. 29(3): 241-258 (2022) - 2021
- [j5]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) - [j4]Manuel Carranza-García
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. Neurocomputing 449: 229-244 (2021) - [j3]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) - 2020
- [j2]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) - 2019
- [j1]Manuel Carranza-García
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. Remote. Sens. 11(3): 274 (2019)
Conference and Workshop Papers
- 2023
- [c9]Manuel Jesús Jiménez-Navarro
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation. CISIS-ICEUTE 2023: 319-328 - [c8]Pablo Reina-Jiménez, Manuel Carranza-García
Efficient Short-Term Time Series Forecasting with Regression Trees. SOCO (2) 2023: 101-110 - [c7]Francisco Javier Galán-Sales, Pablo Reina-Jiménez, Manuel Carranza-García
An Approach to Enhance Time Series Forecasting by Fast Fourier Transform. SOCO (1) 2023: 259-268 - 2022
- [c6]Tomás Cabello-López
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. HAIS 2022: 133-140 - [c5]Manuel Carranza-García
Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving. ICIP 2022: 201-205 - 2021
- [c4]Pedro Lara-Benítez, Luis Gallego-Ledesma, Manuel Carranza-García
Evaluation of the Transformer Architecture for Univariate Time Series Forecasting. CAEPIA 2021: 106-115 - [c3]Manuel Carranza-García
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. SOCO 2021: 654-664 - [c2]José María Luna-Romera
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. SOCO 2021: 706-716 - 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
Informal and Other Publications
- 2021
- [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
- [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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