Mohamed Medhat Gaber

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Shonali KrishnaswamyMonash UniversityVerified email at i2r.a-star.edu.sg
Arkady ZaslavskyDeakin University, Data61 @ CSIRO, Monash University, Lulea University of Technology(Sweden)Verified email at deakin.edu.au
Mohammed AbdelsameaSenior Lecturer, Exeter University, UKVerified email at exeter.ac.uk
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
João Bártolo GomesI2R - Institute for Infocomm Research - A*StarVerified email at i2r.a-star.edu.sg
Dr. Khaled FawagrehPrince Mohammad Bin Fahd UniversityVerified email at pmu.edu.sa
Mariam Adedoyin-OloweBirmingham City UniversityVerified email at bcu.ac.uk
Zahraa S. AbdallahSenior Lecturer, School of Engineering Mathematics and Technology, University of Bristol, UKVerified email at bristol.ac.uk
Shadi BasurraProfessor of Intelligent Systems, Birmingham City University, UKVerified email at bath.edu
Ranga Raju VatsavaiCFEP Professor, Computer Science Dept., NCSUVerified email at ncsu.edu
Olufemi A. Omitaomu ("Femi/he/him/his")Distinguished Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
Auroop R GangulyCOE Distinguished Professor, Fellow ASCE, Distinguished Member ACM, Northeastern University, BostonVerified email at northeastern.edu
Pari Delir HaghighiMonash UniversityVerified email at monash.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Chrisina JayneTeesside UniversityVerified email at tees.ac.uk
Jagdev BhogalSenior Lecturer Data Technology, Birmingham City UniversityVerified email at bcu.ac.uk
Seng W. LokeProfessor in Computer Science, Deakin UniversityVerified email at deakin.edu.au
R. Muhammad Atif AzadBirmingham City UniversityVerified email at bcu.ac.uk
Yevgeniya KovalchukAdvanced Research Computing Centre (ARC), University College LondonVerified email at ucl.ac.uk

Mohamed Medhat Gaber

Professor in Data Analytics, Birmingham City 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	1393	2005
Imitation learning: A survey of learning methods A Hussein, MM Gaber, E Elyan, C Jayne ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017	1348	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, 854-864, 2021	1195	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	693	2014
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007	358	2007
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	226*	2014
SA-E: sentiment analysis for education N Altrabsheh, MM Gaber, M Cocea Intelligent Decision Technologies, 353-362, 2013	160	2013
Adaptive mobile activity recognition system with evolving data streams ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy Neurocomputing 150, 304-317, 2015	145	2015
Advances in data stream mining MM Gaber Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012	142	2012
A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data Streams: Models and Algorithms, 39-59, 2007	140	2007
Detrac: Transfer learning of class decomposed medical images in convolutional neural networks A Abbas, MM Abdelsamea, MM Gaber IEEE Access 8, 74901-74913, 2020	125	2020
Edge machine learning: Enabling smart internet of things applications MT Yazici, S Basurra, MM Gaber Big data and cognitive computing 2 (3), 26, 2018	122	2018
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	120	2012
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	114	2018
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	113	2006
Reasoning about context in uncertain pervasive computing environments P Delir Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber Smart Sensing and Context: Third European Conference, EuroSSC 2008, Zurich …, 2008	96	2008
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	94	2016
A genetic algorithm approach to optimising random forests applied to class engineered data E Elyan, MM Gaber Information sciences 384, 220-234, 2017	90	2017
Data stream mining MM Gaber, A Zaslavsky, S Krishnaswamy Data mining and knowledge discovery handbook, 759-787, 2010	86	2010
CHIRPS: Explaining random forest classification J Hatwell, MM Gaber, RMA Azad Artificial Intelligence Review 53, 5747-5788, 2020	84	2020

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