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Mostrando ítems 11-20 de 62
Artículo
On learning context-aware rules to link RDF datasets
(Oxford University Press, 2020-09-15)
Integrating RDF datasets has become a relevant problem for both researchers and practitioners. In the literature, there are many genetic proposals that learn rules that allow to link the resources that refer to the same ...
Artículo
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
(MDPI, 2021)
Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many generic deep learning architectures have been proposed for this problem, there is little guidance ...
Artículo
Rationale for Timing of Follow-Up Visits to Assess Gluten-Free Diet in Celiac Disease Patients Based on Data Mining
(MDPI, 2021)
The assessment of compliance of gluten-free diet (GFD) is a keystone in the supervision of celiac disease (CD) patients. Few data are available documenting evidence-based follow-up frequency for CD patients. In this work ...
Artículo
Discrete classification technique applied to TV advertisements liking recognition system based on low‑cost EEG headsets
(BioMed Central, 2016)
Background: In this paper a new approach is applied to the area of marketing research. The aim of this paper is to recognize how brain activity responds during the visualization of short video advertisements using discrete ...
Artículo
Using Blockchain to Improve Collaborative Business Process Management: Systematic Literature Review
(IEEE Computer Society, 2020)
BlockChain Technology (BCT) has appeared with strength and promises an authentic revolution on business, management, and organizational strategies related to utilization of advanced software systems. In fact, BCT promotes ...
Artículo
A clustering approach to extract data from HTML tables
(Elsevier, 2021)
HTML tables have become pervasive on the Web. Extracting their data automatically is difficult because finding the relationships between their cells is not trivial due to the many different layouts, encodings, and formats ...
Artículo
Cross-domain polarity classification using a knowledge-enhanced meta-classifier
(Elsevier, 2015)
Current approaches to single and cross-domain polarity classification usually use bag of words, n-grams or lexical resource-based classifiers. In this paper, we propose the use of meta-learning to combine and enrich those ...
Artículo
User-centric Adaptation Analysis of Multi-tenant Services
(Association for Computing Machinery (ACM), 2016)
Multi-tenancy is a key pillar of cloud services. It allows different users to share computing and virtual resources transparently, meanwhile guaranteeing substantial cost savings. Due to the tradeoff between scalability ...
Artículo
Reverse engineering language product lines from existing DSL variants
(Elsevier, 2017)
The use of domain-specific languages (DSLs) has become a successful technique to develop complex sys tems. In this context, an emerging phenomenon is the existence of DSL variants, which are different versions of a DSL ...
Artículo
Run-time prediction of business process indicators using evolutionary decision rules
(Elsevier, 2017)
Predictive monitoring of business processes is a challenging topic of process mining which is concerned with the prediction of process indicators of running process instances. The main value of predictive monitoring is to ...