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Vitor Basto-Fernandes
ISCTE – University Institute of Lisbon
Machine learningData miningEvolutionary algorithmComputer scienceMulti-objective optimization
49Publications
7H-index
125Citations
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Publications 52
Newest
#2Vitor Basto-Fernandes (ISCTE-IUL: ISCTE – University Institute of Lisbon)H-Index: 7
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Abstract In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, the impact has been virtually irrelevant. Recent studies have introduced synset-based content representations as a reliable way to improve classification, as well as different forms to take advantage of semantic information to address problems, such as dimensionality...
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#1Vasyl Lytvyn (Lviv Polytechnic)H-Index: 9
#2Victoria Vysotska (Lviv Polytechnic)H-Index: 9
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The intelligent system of a smart house, which is designed to create from any house, office, or building a smart room, was created in the overall process. Recent trends in technology development demonstrate that more and more things are being automated around us. Even ordinary things become «smarter» and open a new functional use. This has led to an increase in demand for solutions that can provide a convenient and secure way to manage such devices. Having analyzed the literary and Internet sour...
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#1David Ruano-OrdásH-Index: 7
#2Iryna Yevseyeva (DMU: De Montfort University)H-Index: 8
Last. Michael Emmerich (LEI: Leiden University)H-Index: 1
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Abstract Machine learning methods have become an indispensable tool for utilizing large knowledge and data repositories in science and technology. In the context of the pharmaceutical domain, the amount of acquired knowledge about the design and synthesis of pharmaceutical agents and bioactive molecules (drugs) is enormous. The primary challenge for automatically discovering new drugs from molecular screening information is related to the high dimensionality of datasets, where a wide range of fe...
1 CitationsSource
#1Victoria VysotskaH-Index: 9
#2Vasyl LytvynH-Index: 2
Last. Vitor Basto-FernandesH-Index: 7
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4 Citations
#1Victoria Vysotska (Lviv Polytechnic)H-Index: 9
Last. Mariya Hrendus (Lviv Polytechnic)H-Index: 2
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The article describes the peculiarities of linguometry information technologies usage to determine the linguometric coefficients dynamics of the text content authorship. The linguistic and statistical analysis of the author texts within a certain time period takes advantage of the text content-monitoring based on the NLP methods to determine the set of stop words and to study n-grams. The latter is used in the methods of linguometry and stylometry to determine the linguometric coefficients dynam...
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#2Sandro SawickiH-Index: 4
Last. Fabricia Roos-FrantzH-Index: 6
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#1Jiaqi Zhao (CUMT: China University of Mining and Technology)H-Index: 9
#2Licheng Jiao (Ministry of Education)H-Index: 50
Last. Michael Emmerich (LEI: Leiden University)H-Index: 24
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Abstract The receiver operating characteristic (ROC) and detection error tradeoff (DET) curves have been widely used in the machine learning community to analyze the performance of classifiers. The area (or volume) under the convex hull has been used as a scalar indicator for the performance of a set of classifiers in ROC and DET space. Recently, 3D convex-hull-based evolutionary multiobjective optimization algorithm (3DCH-EMOA) has been proposed to maximize the volume of convex hull for binary ...
5 CitationsSource
#1Jiaqi Zhao (CUMT: China University of Mining and Technology)H-Index: 9
#2Licheng Jiao (Ministry of Education)H-Index: 50
Last. Michael Emmerich (LEI: Leiden University)H-Index: 24
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Abstract Ensemble learning can improve the performance of individual classifiers by combining their decisions. The sparseness of ensemble learning has attracted much attention in recent years. In this paper, a novel multiobjective sparse ensemble learning (MOSEL) model is proposed. Firstly, to describe the ensemble classifiers more precisely the detection error trade-off (DET) curve is taken into consideration. The sparsity ratio (sr) is treated as the third objective to be minimized, in additio...
8 CitationsSource
Last. Rafael Z. FrantzH-Index: 6
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#1Victoria VysotskaH-Index: 9
Last. Michael EmmerichH-Index: 24
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7 Citations
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