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Listar por autor "Troncoso Lora, Alicia"
Mostrando ítems 1-20 de 71
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Capítulo de Libro
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study
García Gutiérrez, Jorge; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Springer, 2014)Light Detection and Ranging (LiDAR) is a remote sensor able to extract vertical information from sensed objects. ...
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Artículo
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
García Gutiérrez, Jorge; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Elsevier, 2015)Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information. Environmental models ...
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Capítulo de Libro
A Comparison of Two Techniques for Next- Day Electricity Price Forecasting
Troncoso Lora, Alicia; Riquelme Santos, Jesús Manuel; Riquelme Santos, José Cristóbal; Gómez Expósito, Antonio; Martínez Ramos, José Luis (2002)In the framework of competitive markets, the market’s participants need energy price forecasts in order to determine their ...
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Ponencia
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms
Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Aguilar Ruiz, Jesús Salvador (Springer, 2009)In this paper a hybrid metaheuristic for biclustering based on Scatter Search and Genetic Algorithms is presented. A ...
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Capítulo de Libro
A Kernel for Time Series Classification: Application to Atmospheric Pollutants
Arias, Marta; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Springer, 2013)In this paper a kernel for time-series data is presented. The main idea of the kernel is that it is designed to recognize ...
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Ponencia
A Local Search in Scatter Search for Improving Biclusters
Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Aguilar Ruiz, Jesús Salvador (IEEE Computer Society, 2011)Scatter Search is a population-based metaheuristic that emphasizes systematic processes against random proce dures. A ...
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Artículo
A multi-scale smoothing kernel for measuring time-series similarity
Troncoso Lora, Alicia; Arias, Marta; Riquelme Santos, José Cristóbal (Elsevier, 2015)In this paper a kernel for time-series data is introduced so that it can be used for any data mining task that relies on ...
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Ponencia
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting
Talavera Llames, Ricardo L.; Pérez Chacón, Rubén; Martínez Ballesteros, María del Mar; Troncoso Lora, Alicia; Martínez Álvarez, Francisco (Springer, 2016)A forecasting algorithm for big data time series is presented in this work. A nearest neighbours-based strategy is adopted ...
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Artículo
A new approach based on association rules to add explainability to time series forecasting models
Troncoso García, Ángela del Robledo; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia (ScienceDirect, 2023)Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information ...
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Artículo
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
Melgar García, Laura; Gutiérrez Avilés, David; Godinho, María Teresa; Espada, Rita; Brito, Isabel Sofía; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Rubio Escudero, Cristina (Elsevier, 2022)Precision agriculture focuses on the development of site-specific harvest considering the variability of each crop ...
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Ponencia
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
Tefera Habtemariam, Ejigu; Martínez Ballesteros, María del Mar; Troncoso Lora, Alicia (Springer Link, 2023-08)Renewable energies are currently experiencing promising growth as an alternative solution to minimize the emission of ...
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Ponencia
A novel approach to discover numerical association based on the Coronavirus Optimization Algorithm
Segarra Martín, C.; Martínez Ballesteros, María del Mar; Troncoso Lora, Alicia; Martínez Álvarez, Francisco (Association for Computing Machinery, 2022-04)The disease caused by the SARS-CoV-2 (COVID-19) has affected millions of people around the world since its detection in ...
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Artículo
A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system
Gómez-Quiles, Catalina; Asencio Cortés, G.; Gastalver Rubio, Adolfo; Martínez-Álvarez, Francisco; Troncoso Lora, Alicia; Manresa, Joan; Riquelme Santos, José Cristóbal; Riquelme Santos, Jesús Manuel (Institute of Electrical and Electronics Engineers (IEEE), 2019)The use of electric vehicle across the world has become one of the most challenging issues for environmental policies. The ...
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Capítulo de Libro
A Sensitivity Analysis for Quality Measures of Quantitative Association Rules
Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Springer, 2013)There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery ...
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Artículo
A Survey on Data Mining Techniques Applied to Energy Time Series Forecasting
Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Asencio Cortés, G.; Riquelme Santos, José Cristóbal (MDPI, 2015)Data mining has become an essential tool during the last decade to analyze large sets of data. The variety of techniques ...
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Artículo
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Springer, 2011)An evolutionary approach for finding existing relationships among several variables of a multidimensional time series ...
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Ponencia
An Overlapping Control–Biclustering Algorithm from Gene Expression Data
Nepomuceno Chamorro, Juan Antonio; Troncoso Lora, Alicia; Aguilar Ruiz, Jesús Salvador (IEEE Computer Society, 2009)In this paper a hybrid metaheuristic for biclustering based on Scatter Search and Genetic Algorithms is pre sented. A ...
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Capítulo de Libro
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production
Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal; Martínez Ramos, José Luis; Riquelme Santos, Jesús Manuel; Gómez Expósito, Antonio (2003)In this paper, an evolutionary technique applied to the optimal short-term scheduling (24 hours) of the electric energy ...
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Artículo
Applications of Computational Intelligence in Time Series
Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Reyes, Jorge; Martínez Ballesteros, María del Mar; Riquelme Santos, José Cristóbal (Hindawi, 2017) -
Artículo
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration
Fernández, A. M.; Gutiérrez Avilés, David; Troncoso Lora, Alicia; Martínez Álvarez, Francisco (Elsevier, 2020)The vast amount of data stored nowadays has turned big data analytics into a very trendy research field. The Spark ...