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Mostrando ítems 21-30 de 134
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
Digital persona portrayal: Identifying pluridentity vulnerabilities in digital life
(Elsevier, 2020)
The increasing use of the Internet for social purposes enriches the data available online about all of us and promotes the concept of the Digital Persona. Actually, most of us are represented online by more than one identity, ...
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
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods
(Elsevier, 2018-03-01)
This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural ...
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
Real-time gun detection in CCTV: An open problem
(Elsevier, 2020-12)
Object detectors have improved in recent years, obtaining better results and faster inference time. However, small object detection is still a problem that has not yet a definitive solution. The autonomous weapons detection ...
Artículo
Exploiting synergies of mobile mapping sensors and deep learning for traffic sign recognition systems
(Elsevier, 2017)
This paper presents an efficient two-stage traffic sign recognition system. First, 3D point cloud data is acquired by a LINX Mobile Mapper system and processed to automatically detect traffic signs based on their ...
Artículo
Building layered, multilingual sentiment lexicons at synset and lemma levels
(Elsevier, 2014)
Many tasks related to sentiment analysis rely on sentiment lexicons, lexical resources containing information about the emotional implications of words (e.g., sentiment orientation of words, positive or negative). In ...