Buscar
Mostrando ítems 81-90 de 164
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Guidelines to build PLS-DA chemometric classification models using a GC-IMS method: Dry-cured ham as a case of study
(ScienceDirect, 2022)
The number of representative samples to build a calibration model plays a major role in the success of chemometric models for class discrimination; therefore, knowing which samples should be used for the calibration of ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
An encoder–decoder approach to mine conditions for engineering textual data
(ScienceDirect, 2020-05)
Data engineering seeks to support artificial intelligence processes that extract knowledge from raw data. Many such data are rendered in natural language from which entity-relation extractors extract facts and opinion ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Empirical analysis of the tool support for software product lines
(Springer Science and Business Media Deutschland GmbH, 2022)
For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Empowering conformance checking using Big Data through horizontal decomposition
(Elsevier, 2021)
Conformance checking unleashes the full power of process mining: techniques from this discipline enable the analysis of the quality of a process model through the discovery of event data, the identification of potential ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
A Flexible Billing Life Cycle for Cloud Services Using Augmented Customer Agreements
(IEEE Computer Society, 2021)
Cloud computing constant evolution requires dynamic adjustments to service pricing and billing terms, considering provider infrastructures, customer requirements, and discount policies, among others. In this context, ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
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
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
![Premio Mensual Publicación Científica Destacada de la US. Escuela Técnica Superior de Ingeniería Informática Icon](/themes/idUS/images/certificate.png)
Flexible runtime support of business processes under rolling planning horizons
(Elsevier, 2021)
This work has been motivated by the needs we discovered when analyzing real-world processes from the healthcare domain that have revealed high flexibility demands and complex temporal constraints. When trying to model ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
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
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
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 ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
How efficient deep-learning object detectors are?
(Elsevier, 2020)
Deep-learning object-detection architectures are gaining attraction, as they are used for critical tasks in relevant environments such as health, self-driving, industry, security, and robots. Notwithstanding, the available ...