Следене
Iryna Yevseyeva
Заглавие
Позовавания
Позовавания
Година
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
492013
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
462018
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
372017
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
312016
A portfolio optimization approach to selection in multiobjective evolutionary algorithms
I Yevseyeva, AP Guerreiro, M Emmerich, CM Fonseca
International Conference on Parallel Problem Solving from Nature, 672-681, 2014
312014
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
302019
Web Content Monitoring System Development.
L Chyrun, A Gozhyj, I Yevseyeva, D Dosyn, V Tyhonov, M Zakharchuk
COLINS, 126-142, 2019
292019
A holistic cybersecurity maturity assessment framework for higher education institutions in the United Kingdom
A Aliyu, L Maglaras, Y He, I Yevseyeva, E Boiten, A Cook, H Janicke
Applied Sciences 10 (10), 3660, 2020
272020
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
262018
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
252014
Solving classification problems with multicriteria decision aiding approaches
I Yevseyeva
Jyväskylä studies in computing, 2007
242007
Evaluating information security core human error causes (IS-CHEC) technique in public sector and comparison with the private sector
M Evans, Y He, L Maglaras, I Yevseyeva, H Janicke
International journal of medical informatics 127, 109-119, 2019
232019
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
232019
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
222016
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
222016
Selecting optimal subset of security controls
I Yevseyeva, V Basto-Fernandes, M Emmerich, A van Moorsel
Procedia Computer Science 64, 1035-1042, 2015
212015
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
202017
Employee perspective on information security related human error in healthcare: Proactive use of IS-CHEC in questionnaire form
M Evans, Y He, C Luo, I Yevseyeva, H Janicke, LA Maglaras
IEEE Access 7, 102087-102101, 2019
192019
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
192019
Multicriteria models for learning ordinal data: A literature review
R Sousa, I Yevseyeva, JF Costa, JS Cardoso
Artificial Intelligence, Evolutionary Computing and Metaheuristics, 109-138, 2013
172013
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