Mohamed Medhat Gaber

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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 Porto, and INESC TECVerified email at fep.up.pt
Dr. Frederic StahlGerman Research Center for Artificial Intelligence (Germany), University of Reading (United Kingdom)Verified email at dfki.de
Mohammed AbdelsameaBirmingham City UniversityVerified email at bcu.ac.uk
João Bártolo GomesI2R - Institute for Infocomm Research - A*StarVerified email at i2r.a-star.edu.sg
Mariam Adedoyin-OloweBirmingham City UniversityVerified email at bcu.ac.uk
Dr. Khaled FawagrehPrince Mohammad Bin Fahd UniversityVerified email at pmu.edu.sa
Asmaa AbbasAssiut UniversityVerified email at science.aun.edu.eg
Pari Delir HaghighiMonash UniversityVerified email at monash.edu
Seng W. LokeProfessor in Computer Science, Deakin UniversityVerified email at deakin.edu.au
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Auroop GangulyProfessor, Northeastern University, Boston, MAVerified email at neu.edu
Olufemi A. Omitaomu ("Femi/he/him/his")Senior R&D Staff, Oak Ridge National LaboratoryVerified email at ornl.gov
Shadi BasurraLecturer in Computer Science, Birmingham City University, UKVerified email at bath.edu
Ernestina MenasalvasUniversidad politécnica de madridVerified email at fi.UPM.es
Yevgeniya KovalchukDepartment of Computer Science, University of ReadingVerified email at reading.ac.uk
Ranga Raju VatsavaiCFEP Professor, Computer Science Dept., NCSUVerified email at ncsu.edu
Giorgio GneccoAssociate Professor (with 3 Full Professor Qualifications)Verified email at imtlucca.it
Uwe RöhmThe University of SydneyVerified email at sydney.edu.au
Pedro A. C. SousaFaculdade de Ciências e Tecnologia, Universidade Nova de LisboaVerified email at fct.unl.pt

Mohamed Medhat Gaber

Professor in Data Analytics, Birmingham City University, and Galala University

Verified email at bcu.ac.uk - Homepage

Artificial Intelligence Data Mining Data Stream Mining Machine Learning Random Forests


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Mining data streams: a review MM Gaber, A Zaslavsky, S Krishnaswamy ACM Sigmod Record 34 (2), 18-26, 2005	1338	2005
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network A Abbas, MM Abdelsamea, MM Gaber Applied Intelligence 51 (2), 854-864, 2021	679	2021
Imitation learning: A survey of learning methods A Hussein, MM Gaber, E Elyan, C Jayne ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017	583	2017
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007	331	2007
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	312	2014
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	189*	2014
Data stream mining MM Gaber, A Zaslavsky, S Krishnaswamy Data mining and knowledge discovery handbook, 759-787, 2009	144*	2009
Adaptive mobile activity recognition system with evolving data streams ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy Neurocomputing 150, 304-317, 2015	123	2015
Advances in data stream mining MM Gaber Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012	122	2012
SA-E: sentiment analysis for education N Altrabsheh, MM Gaber, M Cocea International conference on intelligent decision technologies 255, 353-362, 2013	117	2013
A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data streams, 39-59, 2007	117	2007
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	97	2012
Reasoning about context in uncertain pervasive computing environments P Delir Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber European Conference on Smart Sensing and Context, 112-125, 2008	93	2008
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	86	2006
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	81	2005
A rule dynamics approach to event detection in twitter with its application to sports and politics M Adedoyin-Olowe, MM Gaber, CM Dancausa, F Stahl, JB Gomes Expert Systems with Applications 55, 351-360, 2016	79	2016
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	76	2004
Edge machine learning: Enabling smart internet of things applications MT Yazici, S Basurra, MM Gaber Big data and cognitive computing 2 (3), 26, 2018	74	2018
Activity recognition with evolving data streams: A review ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018	65	2018
Density-based projected clustering of data streams M Hassani, P Spaus, MM Gaber, T Seidl International Conference on Scalable Uncertainty Management, 311-324, 2012	65	2012

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