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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 ...
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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 ...
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An association rule mining method for estimating the impact of project management policies on software quality, development time and effort
(Elsevier, 2008)
Accurate and early estimations are essential for effective decision making in software project management. Nowadays, classical estimation models are being replaced by data mining models due to their application simplicity ...
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A Benchmark for ASP Systems: Resource Allocation in Business Processes
(Department für Informationsverarbeitung und Prozessmanagement, 2019)
The goal of this paper is to benchmark Answer Set Programming (ASP) systems to test their performance when dealing with a complex optimization problem. In particular, the problem tackled is resource allocation in the ...
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Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems
(ScienceDirect, 2019-08-11)
This paper explores widely the data preparation stage within the process of knowledge discovery and data mining via feature subset selection in the context of two very well-known neural models: radial basis function neural ...
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Blockchain from the Perspective of Privacy and Anonymisation: A Systematic Literature Review
(MDPI, 2020)
The research presented aims to investigate the relationship between privacy and anonymisation in blockchain technologies on different fields of application. The study is carried out through a systematic literature review ...
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Artículo
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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 ...
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A study on output normalization in multiclass SVMs
(ScienceDirect, 2013-02)
The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, ...
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Natural language interface for process control centers
(Elsevier, 1991)
This paper presents a prototype of a friendly man-machine interface for control centers that uses a natural language (Spanish) processor. The vocabulary is adapted to the context of physical processes. The process is ...