Mohamed Medhat Gaber

Cited by

	All	Since 2015
Citations	5588	3263
h-index	38	26
i10-index	95	68

660

330

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200520062007200820092010201120122013201420152016201720182019202034 62 109 127 217 274 309 276 373 474 452 445 551 546 643 619

Co-authors

Arkady ZaslavskyDeakin University, Data61 @ CSIRO, Monash University, Lulea University of Technology(Sweden)Verified email at deakin.edu.au
Joao GamaProfessor, Faculty of Economics, University of PortoVerified email at fep.up.pt
Dr. Frederic StahlGerman Research Center for Artificial Intelligence (Germany), University of Reading (United Kingdom)Verified email at dfki.de
João Bártolo GomesI2R - Institute for Infocomm Research - A*StarVerified email at i2r.a-star.edu.sg
Mohammed AbdelsameaBirmingham City UniversityVerified email at bcu.ac.uk
Pari Delir HaghighiMonash UniversityVerified email at monash.edu
Mariam Adedoyin-OloweBirmingham City UniversityVerified email at bcu.ac.uk
Ranga Raju VatsavaiAssociate Professor, Computer Science Dept., NCSUVerified email at ncsu.edu
OluFemi A. OmitaomuSenior R&D Staff, Oak Ridge National LaboratoryVerified email at ornl.gov
Auroop GangulyProfessor, Northeastern University, Boston, MAVerified email at neu.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Seng W. LokeProfessor in Computer Science, Deakin UniversityVerified email at deakin.edu.au
Ernestina MenasalvasUniversidad politécnica de madridVerified email at fi.UPM.es
Dr. Khaled FawagrehPrince Mohammad Bin Fahd UniversityVerified email at pmu.edu.sa
Shadi BasurraLecturer in Computer Science, Birmingham City University, UKVerified email at bath.edu
Giorgio GneccoAssociate Professor (with Full Professor Qualification)Verified email at imtlucca.it
Pedro A. C. SousaFaculdade de Ciências e Tecnologia, Universidade Nova de LisboaVerified email at fct.unl.pt
Uwe RöhmThe University of SydneyVerified email at sydney.edu.au
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl

Mohamed Medhat Gaber

Professor in Data Analytics, School of Computing and Digital Technology, Birmingham City University

Verified email at bcu.ac.uk - Homepage

Artificial Intelligence Data Mining Data Stream Mining Machine Learning Random Forests


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mining data streams: a review MM Gaber, A Zaslavsky, S Krishnaswamy ACM Sigmod Record 34 (2), 18-26, 2005	1226	2005
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007	298	2007
Imitation learning: A survey of learning methods A Hussein, MM Gaber, E Elyan, C Jayne ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017	201	2017
A survey of data mining techniques for social media analysis M Adedoyin-Olowe, MM Gaber, F Stahl Journal of Data Mining & Digital Humanities 2014, 2014	132	2014
Random forests: from early developments to recent advancements K Fawagreh, MM Gaber, E Elyan Systems Science & Control Engineering: An Open Access Journal 2 (1), 602-609, 2014	128	2014
Data stream mining MM Gaber, A Zaslavsky, S Krishnaswamy Data Mining and Knowledge Discovery Handbook, 759-787, 2009	110*	2009
A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data streams, 39-59, 2007	104	2007
Advances in data stream mining MM Gaber Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012	99	2012
Adaptive mobile activity recognition system with evolving data streams ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy Neurocomputing 150, 304-317, 2015	92	2015
Reasoning about context in uncertain pervasive computing environments PD Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber European Conference on Smart Sensing and Context, 112-125, 2008	86	2008
SA-E: sentiment analysis for education N Altrabsheh, MM Gaber, M Cocea International conference on intelligent decision technologies 255, 353-362, 2013	85	2013
A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering MM Gaber, PS Yu Proceedings of the 2006 ACM symposium on Applied computing, 649-656, 2006	85	2006
Cost-efficient mining techniques for data streams MM Gaber, S Krishnaswamy, A Zaslavsky Australasian Workshop on Data Mining and Web Intelligence: 17/12/2004 32 …, 2004	81	2004
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network A Abbas, MM Abdelsamea, MM Gaber arXiv preprint arXiv:2003.13815, 2020	78	2020
On-board mining of data streams in sensor networks MM Gaber, S Krishnaswamy, A Zaslavsky Advanced methods for knowledge discovery from complex data, 307-335, 2005	76*	2005
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	73	2012
Resource-aware online data mining in wireless sensor networks ND Phung, MM Gaber, U Rohm 2007 IEEE Symposium on Computational Intelligence and Data Mining, 139-146, 2007	60	2007
Ubiquitous data stream mining M Gaber, S Krishnaswamy, A Zaslavsky Proceedings of Current Research and Future Directions Workshop Proceedings …, 2004	56	2004
Adaptive mining techniques for data streams using algorithm output granularity MM Gaber, S Krishnaswamy, A Zaslavsky Australasian Data Mining Workshop: 08/12/2003-12/12/2003, 2003	55*	2003
Density-based projected clustering of data streams M Hassani, P Spaus, MM Gaber, T Seidl International Conference on Scalable Uncertainty Management, 311-324, 2012	54	2012

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