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Mostrando ítems 1-10 de 15
Artículo
Empirical Evidence of the Usage of Programming Languages in the Educational Process
(IEEE Computer Society, 2021)
Contribution: A systematic literature review on the empirical evidence regarding the usage of programming languages for learning purposes is presented. The review analyzes different methods and tools at different ...
Artículo
Specification and Automated Analysis of Inter-Parameter Dependencies in Web APIs
(IEEE Computer Society, 2021)
Web services often impose inter-parameter dependencies that restrict the way in which two or more input parameters can be combined to form valid calls to the service. Unfortunately, current specification languages for web ...
Artículo
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
(World Scientific, 2021)
In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural networks have successfully been applied to address time series forecasting problems, which is a ...
Artículo
Automated Validation of Compensable SLAs
(IEEE Computer Society, 2021)
A Service Level Agreement (SLA) regulates the provisioning of a service by defining a set of guarantees. Each guarantee sets a Service Level Objective (SLO) on some service metrics, and optionally a compensation that is ...
Artículo
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
(Elsevier, 2021)
Object detection has been one of the most active topics in computer vision for the past years. Recent works have mainly focused on pushing the state-of-the-art in the general-purpose COCO benchmark. However, the use of ...
Artículo
Discovering configuration workflows from existing logs using process mining
(Springer, 2021)
Variability models are used to build configurators, for guiding users through the configuration process to reach the desired setting that fulfils user requirements. The same variability model can be used to design different ...
Artículo
Extrapolation of weight from smart scale data
(ScienceDirect, 2021)
In the area of human digital twins, the designed model should be as close as possible to the reality. The weight variable is one of the interested parameters of these mathematical models, as well as its interaction with ...
Artículo
OCEAn: Ordinal classification with an ensemble approach
(Elsevier, 2021)
Generally, classification problems catalog instances according to their target variable with out considering the relation among the different labels. However, there are real problems in which the different values of the ...
Artículo
Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market
(MDPI, 2021)
The importance of electricity in people’s daily lives has made it an indispensable commodity in society. In electricity market, the price of electricity is the most important factor for each of those involved in it, ...
Artículo
Discovering business process simulation models in the presence of multitasking and availability constraints
(Elsevier, 2021)
Business process simulation is a versatile technique for quantitative analysis of business processes. A well-known limitation of process simulation is that the accuracy of the simulation results is limited by the ...