Browsing by Author "Riquelme Santos, José Cristóbal"
Now showing items 1-20 of 225
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Chapter of Book
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study
(Springer, 2011)Airborne LiDAR (Light Detection and Ranging) has become an excellent tool for accurately assessing vegetation characteristics ...
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Chapter of Book
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study
(Springer, 2014)Light Detection and Ranging (LiDAR) is a remote sensor able to extract vertical information from sensed objects. ...
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Article
A comparison of effort estimation methods for 4GL programs: experiences with Statistics and Data Mining
(World Scientific Publishing Company, 2006)This paper presents an empirical study analysing the relationship between a set of metrics for Fourth–Generation Languages ...
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Article
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
(Elsevier, 2015)Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information. Environmental models ...
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Chapter of Book
A Comparison of Two Techniques for Next- Day Electricity Price Forecasting
(2002)In the framework of competitive markets, the market’s participants need energy price forecasts in order to determine their ...
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Article
A data mining based clinical decision support system for survival in lung cancer
(Via Médica Journals, 2021)Background: A clinical decision support system (CDSS) has been designed to predict the outcome (overall survival) by ...
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Presentation
A Data Mining Method to Support Decision Making in Software Development Projects
(École Supérieure d' Électronique de l' Ouest, 2003)In this paper, we present a strategy to induce knowledge as support decision making in Software Development Projects ...
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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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Article
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks
(MDPI, 2019)Analyzing land use and land cover (LULC) using remote sensing (RS) imagery is essential for many environmental and social ...
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Chapter of Book
A Kernel for Time Series Classification: Application to Atmospheric Pollutants
(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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Article
A multi-scale smoothing kernel for measuring time-series similarity
(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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Chapter of Book
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion
(Springer, 2012)Light Detection and Ranging (LIDAR) has become a very important tool to many environmental applications. This work ...
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Article
A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system
(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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Presentation
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation
(Springer, 2016)Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information about forest structure. ...
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Presentation
A preliminary study on deep transfer learning applied to image classification for small datasets
(Springer, 2020)A new transfer learning strategy is proposed for image classification in this work, based on an 8-layer convolutional ...
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Chapter of Book
A Sensitivity Analysis for Quality Measures of Quantitative Association Rules
(Springer, 2013)There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery ...
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Article
A study of subgroup discovery approaches for defect prediction
(Elsevier, 2013)Context: Although many papers have been published on software defect prediction techniques, machine learning approaches ...
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Article
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
(Elsevier, 2017)Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes ...
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Article
A Survey on Data Mining Techniques Applied to Energy Time Series Forecasting
(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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Chapter of Book
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification
(2010)Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ...