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JolasMATIKA: An Experience for Teaching and Learning Computing Topics From University to Primary Education
(IEEE, 2020-08)
Contribution: A learning-by-teaching methodology through games can be used to promote informatics (computer science) in primary and secondary education. Applying the proposed activities can change students' perception of ...
Towards a standard methodology to evaluate internal cluster validity indices
(Elsevier, 2011-02-01)
The evaluation and comparison of internal cluster validity indices is a critical problem in the clustering area. The methodology used in most of the evaluations assumes that the clustering algorithms work correctly. We ...
An update of the J48Consolidated WEKA’s class: CTC algorithm enhanced with the notion of coverage
(2016-02-12)
This document aims to describe an update of the implementation of the J48Consolidated class within WEKA platform. The J48Consolidated class implements the CTC algorithm [2][3] which builds a unique decision tree based on ...
Generation of the database gurekddcup
(2017-02-10)
The database gureKDDCup has been generated within the UADI project (Unsupervised Anomaly Detection for Intrusion detection system) in which a classifier that detects intrusions or attacks in network based systems was ...
J48Consolidated: an implementation of CTC algorithm for WEKA
(2016-02-12)
The CTC algorithm, Consolidated Tree Construction algorithm, is a machine learning paradigm that was designed to solve a class imbalance problem, a fraud detection problem in the area of car insurance [1] where, besides, ...
PCTBagging: From inner ensembles to ensembles. A trade-off between discriminating capacity and interpretability
(Elsevier, 2022-01)
[EN] The use of decision trees considerably improves the discriminating capacity of ensemble classifiers. However, this process results in the classifiers no longer being interpretable, although comprehensibility is a ...
Diagnostic classification of Parkinson’s disease based on non-motor manifestations and machine learning strategies
(Springer, 2023-03)
Non-motor manifestations of Parkinson’s disease (PD) appear early and have a significant impact on the quality of life of patients, but few studies have evaluated their predictive potential with machine learning algorithms. ...
Smart Meeting Room Usage Information and Prediction by Modelling Occupancy Profiles
(MDPI, 2019-01-02)
The monitoring of small houses and rooms has become possible due to the advances in IoT sensors, actuators and low power communication protocols in the last few years. As buildings are one of the biggest energy consuming ...
A Generalization Performance Study Using Deep Learning Networks in Embedded Systems
(MDPI, 2021-02-03)
Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the ...
Characterization of e-Government adoption in Europe
(Plos One, 2020-04-17)
The digital divide in Europe has not yet been bridged and thus more contributions towards understanding the factors affecting the different dimensions involved are required. This research offers some insights into the topic ...