Lenguajes y Sistemas Informáticos: Recent submissions
Now showing items 1-20 of 2169
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Article
Thinking about spiking neural P systems: some theories, tools, and research topics
(SPRINGER; SPRINGERNATURE; Springer Science and Business Media LLC, 2024)The present work focuses on three notions about spiking neural P systems (SN P systems), namely normal forms, homogeneous ...
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Presentation
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
(SpringerLink, 2022)Neural networks have proven to be a good alternative in application fields such as healthcare, time-series forecasting and ...
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Presentation
Explaining Learned Patterns in Deep Learning by Association Rules Mining
(SpringerLink, 2023-08)This paper proposes a novel approach that combines an association rule algorithm with a deep learning model to enhance the ...
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Article
Explaining deep learning models for ozone pollution prediction via embedded feature selection
(ScienceDirect, 2024)Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is ...
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Presentation
Evolutionary computation to explain deep learning models for time series forecasting
(Association for Computing Machinery, 2023-06)Deep learning has become one of the most useful tools in the last years to mine information from large datasets. Despite ...
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Article
A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
(MDPI, 2023-02)Renewable energies, such as solar and wind power, have become promising sources of energy to address the increase in ...
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Chapter of Book
Desarrollo de habilidades en programación a través de proyectos individuales: Potenciando la autonomía y la creatividad del estudiante.
(Dykinson, 2024)La educación en programación informática ha experimentado una transformación radical en los últimos años. Esta evolución ...
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Presentation
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
(Springer Link, 2023-10)Traditional time series forecasting models often use all available variables, including potentially irrelevant or noisy ...
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Presentation
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
(Springer Link, 2023-09)This paper explores the use of deep learning techniques for detecting sleep apnea. Sleep apnea is a common sleep disorder ...
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Presentation
Association Rule Analysis of Student Satisfaction Surveys for Teaching Quality Evaluation
(Springer Link, 2023-08)The quality of university teaching is essential for the success of students and the academic excellence of an educational ...
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Presentation
A novel approach to discover numerical association based on the Coronavirus Optimization Algorithm
(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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Presentation
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
(Springer Link, 2023-08)Renewable energies are currently experiencing promising growth as an alternative solution to minimize the emission of ...
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Presentation
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
(SpringerLink, 2023-08)Sarcomas are rare mesodermal tumors of heterogeneous nature and have a higher incidence in children. The relative 5-year ...
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Presentation
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal
(Association for Computing Machinery, 2023-03)The year 2022 was the driest year in Portugal since 1931 with 97% of territory in severe drought. Water is especially ...
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Presentation
MOPNAR-BigData: un diseño MapReduce para la extracción de reglas de asociación cuantitativas en problemas de big data
(Asociación Española de Inteligencia Artificial, 2015-11)El término big data se ha extendido rápidamente en el área de la minera de datos debido a que las grandes cantidades de ...
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Chapter of Book
Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo
(Dykinson, 2024-03-15)Para ayudar a la integración de todos los desarrollos individuales existen herramientas de control de versiones como ...
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Article
A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case
(Elsevier, 2023-12)The progressive substitution of conventional synchronous generation for renewable-based generation imposes a series of ...
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Presentation
Desarrollo de habilidades en programación a través de proyectos individuales: potenciando la autonomía y la creatividad del estudiante
(2024)La educación en programación informática ha experimentado una transformación radical en los últimos años. Esta evolución ...
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Article
Uncovering the social dynamics of online elections
(2012)Past work analysing elections in online domains has largely ignored the underlying social networks present in such ...
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Presentation
On The Delays In Spiking Neural P Systems
(2012)In this work we extend and improve the results done in a previous work on simulating Spiking Neural P systems (SNP systems ...