Bogdan Gabrys

Cited by

	All	Since 2016
Citations	6471	3216
h-index	32	22
i10-index	81	53

860

430

215

645

2002200320042005200620072008200920102011201220132014201520162017201820192020202158 54 80 82 109 152 128 226 264 289 385 397 435 471 460 575 579 626 849 120

Co-authors

Marcin BudkaData Scientist, Bournemouth UniversityVerified email at bournemouth.ac.uk
Katarzyna MusialProfessor in Network Science, University of Technology Sydney, AustraliaVerified email at uts.edu.au
Christiane LemkeeBay Classifieds GermanyVerified email at unister-gmbh.de
Andrzej BargielaProfessor of Computer Science and CEO InfoHub LtdVerified email at nottingham.ac.uk
Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
Manuel Martín SalvadorAI Engineer, Blink TechnologiesVerified email at bournemouth.ac.uk
Khuat Thanh TungPhD Candidate at FEIT - University of Technology SydneyVerified email at student.uts.edu.au
Athanasios TsakonasUniversity of the AegeanVerified email at stt.aegean.gr
Di JinTianjin University, Associate ProfessorVerified email at tju.edu.cn
Emilio CorchadoAssociate Professor of Computer Science, Salamanca UniversityVerified email at usal.es
Mai LeData Scientist, BT OpenreachVerified email at openreach.co.uk
Robert HowlettKES International & Bournemouth UniversityVerified email at kesinternational.org
Damien FaySenior ML engineer, INFORVerified email at infor.com
Neil VaughanUniversity of ExeterVerified email at exeter.ac.uk
Rashid BakirovLecturer, Bournemouth UniversityVerified email at bournemouth.ac.uk
Ratko GrbićFaculty of Electrical Engineering, University of OsijekVerified email at etfos.hr
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City University, and Galala UniversityVerified email at bcu.ac.uk
Abdelhamid BouchachiaBournemouth University, United KingdomVerified email at bournemouth.ac.uk
Bruno Baruque ZanónUniversidad de BurgosVerified email at ubu.es
Hongmei HeSenior Lecturer at De Montfort UniversityVerified email at dmu.ac.uk

Bogdan Gabrys

Prof. of Data Science, University of Technology Sydney

Verified email at uts.edu.au - Homepage

Computational Intelligence Data Science Complex Adaptive Systems Machine Learning Predictive Analytics


Title Sort by citations Sort by year Sort by 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	1306	2009
Classifier selection for majority voting D Ruta, B Gabrys Information fusion 6 (1), 63-81, 2005	562	2005
General fuzzy min-max neural network for clustering and classification B Gabrys, A Bargiela IEEE transactions on neural networks 11 (3), 769-783, 2000	456	2000
An overview of classifier fusion methods D Ruta, B Gabrys Computing and Information systems 7 (1), 1-10, 2000	451	2000
Review of adaptation mechanisms for data-driven soft sensors P Kadlec, R Grbić, B Gabrys Computers & Chemical Engineering 35 (1), 1-24, 2011	407	2011
Metalearning: a survey of trends and technologies C Lemke, M Budka, B Gabrys Artificial intelligence review 44 (1), 117-130, 2015	271	2015
Meta-learning for time series forecasting and forecast combination C Lemke, B Gabrys Neurocomputing 73 (10-12), 2006-2016, 2010	175	2010
Local learning‐based adaptive soft sensor for catalyst activation prediction P Kadlec, B Gabrys AIChE Journal 57 (5), 1288-1301, 2011	148	2011
Genetic algorithms in classifier fusion B Gabrys, D Ruta Applied soft computing 6 (4), 337-347, 2006	133	2006
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	99	2016
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	97	2002
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	93	2001
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	82	2002
An overview of self-adaptive technologies within virtual reality training N Vaughan, B Gabrys, VN Dubey Computer Science Review 22, 65-87, 2016	80	2016
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	77	2004
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	75	2012
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	69	2001
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	66	1999
Overview of some incremental learning algorithms A Bouchachia, B Gabrys, Z Sahel 2007 IEEE International Fuzzy Systems Conference, 1-6, 2007	59	2007
Adaptive preprocessing for streaming data I Zliobaite, B Gabrys IEEE Transactions on Knowledge and Data Engineering 26 (2), 309-321, 2014	58	2014

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors