Bogdan Gabrys
Title
Cited by
Cited by
Year
Data-driven soft sensors in the process industry
P Kadlec, B Gabrys, S Strandt
Computers & chemical engineering 33 (4), 795-814, 2009
12882009
Classifier selection for majority voting
D Ruta, B Gabrys
Information fusion 6 (1), 63-81, 2005
5572005
General fuzzy min-max neural network for clustering and classification
B Gabrys, A Bargiela
IEEE transactions on neural networks 11 (3), 769-783, 2000
4542000
An overview of classifier fusion methods
D Ruta, B Gabrys
Computing and Information systems 7 (1), 1-10, 2000
4472000
Review of adaptation mechanisms for data-driven soft sensors
P Kadlec, R Grbić, B Gabrys
Computers & Chemical Engineering 35 (1), 1-24, 2011
3962011
Metalearning: a survey of trends and technologies
C Lemke, M Budka, B Gabrys
Artificial intelligence review 44 (1), 117-130, 2015
2612015
Meta-learning for time series forecasting and forecast combination
C Lemke, B Gabrys
Neurocomputing 73 (10-12), 2006-2016, 2010
1692010
Local learning‐based adaptive soft sensor for catalyst activation prediction
P Kadlec, B Gabrys
AIChE Journal 57 (5), 1288-1301, 2011
1452011
Genetic algorithms in classifier fusion
B Gabrys, D Ruta
Applied soft computing 6 (4), 337-347, 2006
1322006
A theoretical analysis of the limits of majority voting errors for multiple classifier systems
D Ruta, B Gabrys
Pattern Analysis and Applications 5 (4), 333-350, 2002
972002
The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence
H He, C Maple, T Watson, A Tiwari, J Mehnen, Y Jin, B Gabrys
962016
Analysis of the correlation between majority voting error and the diversity measures in multiple classifier systems
D Ruta, B Gabrys
ICSC-NAISO Academic Press, 2001
932001
Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems
B Gabrys
International Journal of Approximate Reasoning 30 (3), 149-179, 2002
822002
Combining labelled and unlabelled data in the design of pattern classification systems
B Gabrys, L Petrakieva
International journal of approximate reasoning 35 (3), 251-273, 2004
772004
An overview of self-adaptive technologies within virtual reality training
N Vaughan, B Gabrys, VN Dubey
Computer Science Review 22, 65-87, 2016
752016
Next challenges for adaptive learning systems
I Zliobaite, A Bifet, M Gaber, B Gabrys, J Gama, L Minku, K Musial
ACM SIGKDD Explorations Newsletter 14 (1), 48-55, 2012
752012
Application of the evolutionary algorithms for classifier selection in multiple classifier systems with majority voting
D Ruta, B Gabrys
International Workshop on Multiple Classifier Systems, 399-408, 2001
692001
Neural networks based decision support in presence of uncertainties
B Gabrys, A Bargiela
Journal of water resources planning and management 125 (5), 272-280, 1999
661999
Adaptive preprocessing for streaming data
I Zliobaite, B Gabrys
IEEE Transactions on Knowledge and Data Engineering 26 (2), 309-321, 2014
582014
Overview of some incremental learning algorithms
A Bouchachia, B Gabrys, Z Sahel
2007 IEEE International Fuzzy Systems Conference, 1-6, 2007
582007
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Articles 1–20