Vitor Basto-Fernandes
Vitor Basto-Fernandes
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Web Content Support Method in Electronic Business Systems.
V Vysotska, VB Fernandes, M Emmerich
COLINS, 20-41, 2018
Optimising anti-spam filters with evolutionary algorithms
I Yevseyeva, V Basto-Fernandes, D Ruano-Ordás, JR Méndez
Expert systems with applications 40 (10), 4010-4021, 2013
A comparison of cybersecurity risk analysis tools
G Roldán-Molina, M Almache-Cueva, C Silva-Rabadão, I Yevseyeva, ...
Procedia computer science 121, 568-575, 2017
The mobile application development based on online music library for socializing in the world of bard songs and scouts’ bonfires
B Rusyn, L Pohreliuk, A Rzheuskyi, R Kubik, Y Ryshkovets, L Chyrun, ...
Conference on Computer Science and Information Technologies, 734-756, 2019
Multiobjective sparse ensemble learning by means of evolutionary algorithms
J Zhao, L Jiao, S Xia, VB Fernandes, I Yevseyeva, Y Zhou, ...
Decision Support Systems 111, 86-100, 2018
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms
J Zhao, VB Fernandes, L Jiao, I Yevseyeva, A Maulana, R Li, T Bäck, ...
Information Sciences 367, 80-104, 2016
Development of Information System for Textual Content Categorizing Based on Ontology.
V Vysotska, V Lytvyn, Y Burov, P Berezin, M Emmerich, VB Fernandes
COLINS, 53-70, 2019
Preface: modern machine learning technologies and data science (MoMLeT&DS-2019)
M Emmerich, V Lytvyn, I Yevseyeva, VB Fernandes, D Dosyn, V Vysotska
CEUR Workshop Proceedings 2386, 164, 2019
A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification
V Basto-Fernandes, I Yevseyeva, JR Méndez, J Zhao, F Fdez-Riverola, ...
Applied Soft Computing 48, 111-123, 2016
Selecting optimal subset of security controls
I Yevseyeva, V Basto-Fernandes, M Emmerich, A van Moorsel
Procedia Computer Science 64, 1035-1042, 2015
Improving the drug discovery process by using multiple classifier systems
D Ruano-Ordás, I Yevseyeva, VB Fernandes, JR Méndez, ...
Expert Systems with Applications 121, 292-303, 2019
Building and using an ontology of preference-based multiobjective evolutionary algorithms
L Li, I Yevseyeva, V Basto-Fernandes, H Trautmann, N Jing, M Emmerich
International conference on evolutionary multi-criterion optimization, 406-421, 2017
Forum participation plugin for Moodle: Development and Discussion
A Muñoz, R Delgado, E Rubio, C Grilo, V Basto-Fernandes
Procedia Computer Science 121, 982-989, 2017
Propaganda Detection in Text Data Based on NLP and Machine Learning.
VA Oliinyk, V Vysotska, Y Burov, K Mykich, VB Fernandes
MoMLeT+ DS, 132-144, 2020
Using Petri Nets to Enable the Simulation of Application Integration Solutions Conceptual Models.
F Roos-Frantz, MO Binelo, RZ Frantz, S Sawicki, VB Fernandes
ICEIS (1), 87-96, 2015
3D fast convex-hull-based evolutionary multiobjective optimization algorithm
J Zhao, L Jiao, F Liu, VB Fernandes, I Yevseyeva, S Xia, MTM Emmerich
Applied Soft Computing 67, 322-336, 2018
Method for determining linguometric coefficient dynamics of Ukrainian text content authorship
V Vysotska, VB Fernandes, V Lytvyn, M Emmerich, M Hrendus
Conference on Computer Science and Information Technologies, 132-151, 2018
SCTP extensions for time sensitive traffic
V Basto, V Freitas
Proceedings of The Fifth International Network Conference 2005 (INC 2005), 97, 2005
Two-stage security controls selection
I Yevseyeva, VB Fernandes, A van Moorsel, H Janicke, M Emmerich
Procedia Computer Science 100, 971-978, 2016
A cloud‐based integration platform for enterprise application integration: A Model‐Driven Engineering approach
RZ Frantz, R Corchuelo, V Basto‐Fernandes, F Rosa‐Sequeira, ...
Software: Practice and Experience 51 (4), 824-847, 2021
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