Bogdan Gabrys

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Katarzyna MusialProfessor in Network Science, University of Technology Sydney, AustraliaEmail yang diverifikasi di uts.edu.au
Marcin BudkaData Scientist, Bournemouth UniversityEmail yang diverifikasi di bournemouth.ac.uk
Christiane LemkeeBay Classifieds GermanyEmail yang diverifikasi di unister-gmbh.de
Khuat Thanh TungData Science Institute - University of Technology SydneyEmail yang diverifikasi di uts.edu.au
Andrzej BargielaProfessor of Computer Science and CEO InfoHub LtdEmail yang diverifikasi di nottingham.ac.uk
David Jacob KedzioraEmail yang diverifikasi di uts.edu.au
Indrė ŽliobaitėProfessor, University of HelsinkiEmail yang diverifikasi di helsinki.fi
Manuel Martín SalvadorAI Engineer, Blink TechnologiesEmail yang diverifikasi di blinkeye.ai
Joakim SkardingPhD candidate, University of Technology SydneyEmail yang diverifikasi di uts.edu.au
Barry (Xuanyi) DongAugment <- Google DeepMindEmail yang diverifikasi di augmentcode.com
Damien FayHead of research, HPE labs IrelandEmail yang diverifikasi di hpe.com
Rashid BakirovBournemouth UniversityEmail yang diverifikasi di bournemouth.ac.uk
Di JinTianjin University, ProfessorEmail yang diverifikasi di tju.edu.cn
Neil VaughanUniversity of ExeterEmail yang diverifikasi di exeter.ac.uk
Robert HowlettKES International ResearchEmail yang diverifikasi di kesinternational.org
Athanasios TsakonasUniversity of the AegeanEmail yang diverifikasi di stt.aegean.gr
Mai LeData Scientist, BT OpenreachEmail yang diverifikasi di openreach.co.uk
Dongxiao HeTianjin University, Professor of Computer ScienceEmail yang diverifikasi di tju.edu.cn
Abbas Raza AliMachine Learning ScientistEmail yang diverifikasi di bournemouth.ac.uk
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City UniversityEmail yang diverifikasi di bcu.ac.uk

Ikuti

Bogdan Gabrys

Prof. of Data Science, University of Technology Sydney

Email yang diverifikasi di uts.edu.au - Beranda

Computational Intelligence Data Science Complex Adaptive Systems Machine Learning Predictive Analytics


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Data-driven soft sensors in the process industry P Kadlec, B Gabrys, S Strandt Computers & chemical engineering 33 (4), 795-814, 2009	2013	2009
Classifier selection for majority voting D Ruta, B Gabrys Information fusion 6 (1), 63-81, 2005	805	2005
Review of adaptation mechanisms for data-driven soft sensors P Kadlec, R Grbić, B Gabrys Computers & chemical engineering 35 (1), 1-24, 2011	596	2011
An overview of classifier fusion methods D Ruta, B Gabrys Computing and Information systems 7 (1), 1-10, 2000	562	2000
General fuzzy min-max neural network for clustering and classification B Gabrys, A Bargiela IEEE transactions on neural networks 11 (3), 769-783, 2000	529	2000
Metalearning: a survey of trends and technologies C Lemke, M Budka, B Gabrys Artificial intelligence review 44, 117-130, 2015	506	2015
Foundations and modeling of dynamic networks using dynamic graph neural networks: A survey J Skarding, B Gabrys, K Musial iEEE Access 9, 79143-79168, 2021	343	2021
Meta-learning for time series forecasting and forecast combination C Lemke, B Gabrys Neurocomputing 73 (10-12), 2006-2016, 2010	323	2010
Nats-bench: Benchmarking nas algorithms for architecture topology and size X Dong, L Liu, K Musial, B Gabrys IEEE transactions on pattern analysis and machine intelligence 44 (7), 3634-3646, 2021	224	2021
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 2016 IEEE congress on evolutionary computation (CEC), 1015-1021, 2016	202	2016
An overview of self-adaptive technologies within virtual reality training N Vaughan, B Gabrys, VN Dubey Computer Science Review 22, 65-87, 2016	192	2016
Local learning‐based adaptive soft sensor for catalyst activation prediction P Kadlec, B Gabrys AIChE Journal 57 (5), 1288-1301, 2011	192	2011
Multi-level graph convolutional networks for cross-platform anchor link prediction H Chen, H Yin, X Sun, T Chen, B Gabrys, K Musial Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	158	2020
Genetic algorithms in classifier fusion B Gabrys, D Ruta Applied soft computing 6 (4), 337-347, 2006	149	2006
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	123	2012
Adaptive community detection incorporating topology and content in social networks M Qin, D Jin, D He, B Gabrys, K Musial Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017	116	2017
A theoretical analysis of the limits of majority voting errors for multiple classifier systems D Ruta, B Gabrys Pattern Analysis and Applications 5, 333-350, 2002	107	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	101	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	93	2002
Adaptive preprocessing for streaming data I Zliobaite, B Gabrys IEEE transactions on knowledge and data Engineering 26 (2), 309-321, 2012	92	2012

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