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 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
Dr. Khaled FawagrehPrince Mohammad Bin Fahd UniversityVerified email at pmu.edu.sa
Ernestina MenasalvasUniversidad politécnica de madridVerified email at fi.UPM.es
Shadi BasurraLecturer in Computer Science, Birmingham City University, UKVerified email at bath.edu
Uwe RöhmThe University of SydneyVerified email at sydney.edu.au
Asmaa AbbasAssiut UniversityVerified email at science.aun.edu.eg
Giorgio GneccoAssociate Professor (with 3 Full Professor Qualifications)Verified email at imtlucca.it
Pedro A. C. SousaFaculdade de Ciências e Tecnologia, Universidade Nova de LisboaVerified email at fct.unl.pt
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu

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	1272	2005
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007	307	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	276	2017
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	209	2021
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	178	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	150	2014
Data stream mining MM Gaber, A Zaslavsky, S Krishnaswamy Data Mining and Knowledge Discovery Handbook, 759-787, 2009	117*	2009
A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data streams, 39-59, 2007	108	2007
Adaptive mobile activity recognition system with evolving data streams ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy Neurocomputing 150, 304-317, 2015	106	2015
Advances in data stream mining MM Gaber Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012	104	2012
SA-E: Sentiment analysis for education N Altrabsheh, MM Gaber, M Cocea Frontiers in Artificial Intelligence and Applications 255, 353-362, 2013	95	2013
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	91	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	87	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	80	2012
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	80	2004
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	79	2005
Ubiquitous data stream mining M Gaber, S Krishnaswamy, A Zaslavsky Proceedings of Current Research and Future Directions Workshop Proceedings …, 2004	59	2004
Density-based projected clustering of data streams M Hassani, P Spaus, MM Gaber, T Seidl International Conference on Scalable Uncertainty Management, 311-324, 2012	58	2012
Mars: a personalised mobile activity recognition system JB Gomes, S Krishnaswamy, MM Gaber, PAC Sousa, E Menasalvas 2012 IEEE 13th International Conference on Mobile Data Management, 316-319, 2012	58	2012
Mining recurring concepts in a dynamic feature space JB Gomes, MM Gaber, PAC Sousa, E Menasalvas IEEE transactions on neural networks and learning systems 25 (1), 95-110, 2014	57	2014

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