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Artículo
Feature models to boost the vulnerability management process
(Elsevier, 2022)
Vulnerability management is a critical and very challenging process that allows organisations to design a procedure to identify potential vulnerabilities, assess the level of risk, and define remediation mechanisms to ...
Artículo
Agile, Web Engineering and Capability Maturity ModelI ntegration : A systematic literature review
(Elsevier, 2016)
Context Agile approaches are an alternative for organizations developing software, particularly for those who develop Web applications. Besides, CMMI (Capability Maturity Model Integration) models are well-established ...
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
Applications of Computational Intelligence in Time Series
(Hindawi, 2017)
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
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
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
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
Energy Time Series Forecasting Based on Pattern Sequence Similarity
(IEEE, 2011)
This paper presents a new approach to forecast the behavior of time series based on similarity of pattern sequences. First, clustering techniques are used with the aim of grouping and labeling the samples from a data set. ...