Iryna Yevseyeva
Cited by
Cited by
Web resources management method based on intelligent technologies
A Gozhyj, V Vysotska, I Yevseyeva, I Kalinina, V Gozhyj
Conference on Computer Science and Information Technologies, 206-221, 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
Web Content Monitoring System Development.
L Chyrun, A Gozhyj, I Yevseyeva, D Dosyn, V Tyhonov, M Zakharchuk
COLINS, 126-142, 2019
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
A portfolio optimization approach to selection in multiobjective evolutionary algorithms
I Yevseyeva, AP Guerreiro, MTM Emmerich, CM Fonseca
International Conference on Parallel Problem Solving from Nature, 672-681, 2014
Solving classification problems with multicriteria decision aiding approaches
I Yevseyeva
Jyväskylä studies in computing, 2007
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
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
Characterising enterprise application integration solutions as discrete-event systems
S Sawicki, RZ Frantz, VMB Fernandes, F Roos-Frantz, I Yevseyeva, ...
Handbook of Research on Computational Simulation and Modeling in Engineering …, 2016
On reference point free weighted hypervolume indicators based on desirability functions and their probabilistic interpretation
MTM Emmerich, AH Deutz, I Yevseyeva
Procedia Technology 16, 532-541, 2014
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
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
Selecting optimal subset of security controls
I Yevseyeva, V Basto-Fernandes, M Emmerich, A van Moorsel
Procedia Computer Science 64, 1035-1042, 2015
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
Exploring the role of work identity and work locus of control in information security awareness
L Hadlington, M Popovac, H Janicke, I Yevseyeva, K Jones
Computers & Security 81, 41-48, 2019
Multicriteria models for learning ordinal data: A literature review
R Sousa, I Yevseyeva, JFP Da Costa, JS Cardoso
Artificial Intelligence, Evolutionary Computing and Metaheuristics, 109-138, 2013
Consumerisation of IT: Mitigating risky user actions and improving productivity with nudging
I Yevseyeva, C Morisset, J Turland, L Coventry, T Groß, C Laing, ...
Procedia Technology 16, 508-517, 2014
Verbal ordinal classification with multicriteria decision aiding
I Yevseyeva, K Miettinen, P Räsänen
European Journal of Operational Research 185 (3), 964-983, 2008
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
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
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