@article{10.1016/j.engappai.2024.109088,

title = {Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning},

author = {Miguel Campos-Romero and Manuel Carranza-García and José C. Riquelme},

url = {https://doi.org/10.1016/j.engappai.2024.109088},

doi = {10.1016/j.engappai.2024.109088},

year  = {2024},

date = {2024-01-01},

journal = {Engineering Applications of Artificial Intelligence},

volume = {137},

pages = {109088},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.ijepes.2023.109730,

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

author = {Jose Miguel Riquelme-Dominguez and Manuel Carranza-García and Pedro Lara-Benítez and Francisco M. González-Longatt},

url = {https://doi.org/10.1016/j.ijepes.2023.109730},

doi = {10.1016/j.ijepes.2023.109730},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Electrical Power & Energy Systems},

volume = {156},

pages = {109730},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.heliyon.2024.e25838,

title = {An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market},

author = {José María Luna-Romera and Manuel Carranza-García and Ángel Arcos-Vargas and José C. Riquelme-Santos},

url = {https://doi.org/10.1016/j.heliyon.2024.e25838},

doi = {10.1016/j.heliyon.2024.e25838},

year  = {2024},

date = {2024-01-01},

journal = {Heliyon},

volume = {10},

pages = {e25838},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3233/ica-230726,

title = {Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation},

author = {José L. Salazar-González and José María Luna-Romera and Manuel Carranza-García and Juan A. Álvarez-García and Luis M. Soria-Morillo},

url = {https://doi.org/10.3233/ica-230726},

doi = {10.3233/ica-230726},

year  = {2024},

date = {2024-01-01},

journal = {Integrated Computer-Aided Engineering},

volume = {31},

pages = {307-326},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-031-42519-6_30,

title = {Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation},

author = {Manuel J. Jiménez-Navarro and Belén Vega-Márquez and José María Luna-Romera and Manuel Carranza-García and María Martínez-Ballesteros},

url = {https://doi.org/10.1007/978-3-031-42519-6_30},

doi = {10.1007/978-3-031-42519-6_30},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Networks and Systems},

volume = {N/A},

pages = {319-328},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.apenergy.2023.121645,

title = {Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level},

author = {Tomás Cabello-López and Manuel Carranza-García and José C. Riquelme and Jorge García-Gutiérrez},

url = {https://doi.org/10.1016/j.apenergy.2023.121645},

doi = {10.1016/j.apenergy.2023.121645},

year  = {2023},

date = {2023-01-01},

journal = {Applied Energy},

volume = {350},

pages = {121645},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.neucom.2023.126312,

title = {Short-term solar irradiance forecasting in streaming with deep learning},

author = {Pedro Lara-Benítez and Manuel Carranza-García and José María Luna-Romera and José C. Riquelme},

url = {https://doi.org/10.1016/j.neucom.2023.126312},

doi = {10.1016/j.neucom.2023.126312},

year  = {2023},

date = {2023-01-01},

journal = {Neurocomputing},

volume = {546},

pages = {126312},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-031-42529-5_25,

title = {An Approach to Enhance Time Series Forecasting by Fast Fourier Transform},

author = {F. Javier Galán-Sales and Pablo Reina-Jiménez and Manuel Carranza-García and José María Luna-Romera},

url = {https://doi.org/10.1007/978-3-031-42529-5_25},

doi = {10.1007/978-3-031-42529-5_25},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Networks and Systems},

volume = {N/A},

pages = {259-268},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-031-42536-3_10,

title = {Efficient Short-Term Time Series Forecasting with Regression Trees},

author = {Pablo Reina-Jiménez and Manuel Carranza-García and Jose María Luna-Romera and José C. Riquelme},

url = {https://doi.org/10.1007/978-3-031-42536-3_10},

doi = {10.1007/978-3-031-42536-3_10},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Networks and Systems},

volume = {N/A},

pages = {101-110},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{article,

title = {Object detection using depth completion and camera-LiDAR fusion for autonomous driving},

author = {Manuel Carranza-García and F. Galán-Sales and José María Luna-Romera and José Riquelme},

doi = {10.3233/ICA-220681},

year  = {2022},

date = {2022-01-01},

journal = {Integrated Computer-Aided Engineering},

volume = {29},

pages = {1-18},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1093/jigpal/jzac033,

title = {Data streams classification using deep learning under different speeds and drifts},

author = {Pedro Lara-Benítez and Manuel Carranza-García and David Gutiérrez-Avilés and José C Riquelme},

url = {https://doi.org/10.1093/jigpal/jzac033},

doi = {10.1093/jigpal/jzac033},

issn = {1367-0751},

year  = {2022},

date = {2022-01-01},

journal = {Logic Journal of the IGPL},

abstract = {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 data streaming scenarios is a research area that has not yet been fully addressed. Nevertheless, much effort has been put into the adaption of complex deep learning (DL) models to streaming tasks by reducing the processing time. The design of the asynchronous dual-pipeline DL framework allows making predictions of incoming instances and updating the model simultaneously, using two separate layers. The aim of this work is to assess the performance of different types of DL architectures for data streaming classification using this framework. We evaluate models such as multi-layer perceptrons, recurrent, convolutional and temporal convolutional neural networks over several time series datasets that are simulated as streams at different speeds. In addition, we evaluate how the different architectures react to concept drifts typically found in evolving data streams. The obtained results indicate that convolutional architectures achieve a higher performance in terms of accuracy and efficiency, but are also the most sensitive to concept drifts.},

note = {jzac033},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1109/icip46576.2022.9897855,

title = {Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving},

author = {Manuel Carranza-Garcia and Jose C. Riquelme and Avideh Zakhor},

url = {https://doi.org/10.1109/icip46576.2022.9897855},

doi = {10.1109/icip46576.2022.9897855},

year  = {2022},

date = {2022-01-01},

journal = {2022 IEEE International Conference on Image Processing (ICIP)},

volume = {N/A},

pages = {201-205},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-031-15471-3_12,

title = {Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation},

author = {Tomás Cabello-López and Manuel Cañizares-Juan and Manuel Carranza-García and Jorge Garcia-Gutiérrez and José C. Riquelme},

url = {https://doi.org/10.1007/978-3-031-15471-3_12},

doi = {10.1007/978-3-031-15471-3_12},

year  = {2022},

date = {2022-01-01},

journal = {Lecture Notes in Computer Science},

volume = {N/A},

pages = {133-140},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-030-87869-6_67,

title = {Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology},

author = {José María Luna-Romera and Manuel Carranza-García and David Gutiérrez-Avilés and José C. Riquelme-Santos},

url = {https://doi.org/10.1007/978-3-030-87869-6_67},

doi = {10.1007/978-3-030-87869-6_67},

year  = {2022},

date = {2022-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {N/A},

pages = {706-716},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1142/s0129065721300011,

title = {An Experimental Review on Deep Learning Architectures for Time Series Forecasting},

author = {Pedro Lara-Benítez and Manuel Carranza-García and José C. Riquelme},

url = {https://doi.org/10.1142/s0129065721300011},

doi = {10.1142/s0129065721300011},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Neural Systems},

volume = {31},

pages = {2130001},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.neucom.2021.04.001,

title = {Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance},

author = {Manuel Carranza-García and Pedro Lara-Benítez and Jorge García-Gutiérrez and José C. Riquelme},

url = {https://doi.org/10.1016/j.neucom.2021.04.001},

doi = {10.1016/j.neucom.2021.04.001},

year  = {2021},

date = {2021-01-01},

journal = {Neurocomputing},

volume = {449},

pages = {229-244},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-030-85713-4_11,

title = {Evaluation of the Transformer Architecture for Univariate Time Series Forecasting},

author = {Pedro Lara-Benítez and Luis Gallego-Ledesma and Manuel Carranza-García and José M. Luna-Romera},

url = {https://doi.org/10.1007/978-3-030-85713-4_11},

doi = {10.1007/978-3-030-85713-4_11},

year  = {2021},

date = {2021-01-01},

journal = {Lecture Notes in Computer Science},

volume = {N/A},

pages = {106-115},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-030-57802-2_14,

title = {On the Performance of Deep Learning Models for Time Series Classification in Streaming},

author = {Pedro Lara-Benítez and Manuel Carranza-García and Francisco Martínez-Álvarez and José C. Riquelme},

url = {https://doi.org/10.1007/978-3-030-57802-2_14},

doi = {10.1007/978-3-030-57802-2_14},

year  = {2021},

date = {2021-01-01},

journal = {Advances in Intelligent Systems and Computing},

volume = {N/A},

pages = {144-154},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pedro2020,

title = {Temporal Convolutional Networks Applied to Energy-related Time Series Forecasting},

author = {P Lara-Benítez and M Carranza-García and J M Luna-Romera and J C Riquelme},

doi = {10.3390/app10072322},

year  = {2020},

date = {2020-03-28},

journal = {Applied Sciences},

volume = {10},

number = {7},

pages = {2322},

note = {JCR (2018): 2.217},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lara-Benítez2020,

title = {Asynchronous dual-pipeline deep learning framework for online data stream classification},

author = {P Lara-Benítez and M Carranza-García and J García-Gutiérrez and J C Riquelme },

doi = {10.3233/ICA-200617},

year  = {2020},

date = {2020-02-27},

journal = {Integrated Computer-Aided Engineering},

volume = {27},

number = {2},

pages = {101-119},

note = {JCR (2018): 4.904},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3390/rs13010089,

title = {On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data},

author = {Manuel Carranza-García and Jesús Torres-Mateo and Pedro Lara-Benítez and Jorge García-Gutiérrez},

url = {https://doi.org/10.3390/rs13010089},

doi = {10.3390/rs13010089},

year  = {2020},

date = {2020-01-01},

journal = {Remote Sensing},

volume = {13},

pages = {89},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{M2019,

title = {A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks},

author = {M Carranza-García and J García-Gutiérrez and J C Riquelme},

doi = {10.3390/rs11030274},

year  = {2019},

date = {2019-01-31},

journal = {Remote Sensing},

volume = {11 (3)},

number = {274},

note = {JCR(2018): 4.118},

keywords = {},

pubstate = {published},

tppubtype = {article}

}