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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 ...
Artículo
An approach for deploying and monitoring dynamic security policies
(Elsevier, 2016)
Security policies are enforced through the deployment of certain security functionalities within the applications. When the security policies dynamically change, the associated security functionalities currently deployed ...
Artículo
Biclustering on expression data: A review
(Elsevier, 2015)
Biclustering has become a popular technique for the study of gene expression data, especially for discovering functionally related gene sets under different subsets of experimental conditions. Most of biclustering approaches ...
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
On Extracting Data from Tables that are Encoded using HTML
(Elsevier, 2020)
Tables are a common means to display data in human-friendly formats. Many authors have worked on proposals to extract those data back since this has many interesting applications. In this article, we summarise and compare ...
Artículo
Design of a Speed Assistant to Minimize the Driver Stress
(Ediciones Universidad de Salamanca, 2017)
Stress is one of the most important factors in traffic accidents. When the driver is in this mental state, their skills and abilities are reduced. In this paper, we propose an algorithm to estimate the optimal speed to ...
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 ...