Mohamed Medhat Gaber 个人学术档案

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	总计	2019 年至今
引用	10625	6146
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Shonali KrishnaswamyMonash University在 i2r.a-star.edu.sg 的电子邮件经过验证
Arkady ZaslavskyDeakin University, Data61 @ CSIRO, Monash University, Lulea University of Technology(Sweden)在 deakin.edu.au 的电子邮件经过验证
Mohammed AbdelsameaSenior Lecturer, Exeter University, UK在 exeter.ac.uk 的电子邮件经过验证
Joao GamaProfessor, Faculty of Economics, University of Porto, and INESC TEC在 fep.up.pt 的电子邮件经过验证
Dr. Frederic StahlGerman Research Center for Artificial Intelligence (Germany), University of Reading (United Kingdom)在 dfki.de 的电子邮件经过验证
João Bártolo GomesI2R - Institute for Infocomm Research - A*Star在 i2r.a-star.edu.sg 的电子邮件经过验证
Mariam Adedoyin-OloweBirmingham City University在 bcu.ac.uk 的电子邮件经过验证
Dr. Khaled FawagrehPrince Mohammad Bin Fahd University在 pmu.edu.sa 的电子邮件经过验证
Zahraa S. AbdallahSenior Lecturer, School of Engineering Mathematics and Technology, University of Bristol, UK在 bristol.ac.uk 的电子邮件经过验证
Shadi BasurraLecturer in Computer Science, Birmingham City University, UK在 bath.edu 的电子邮件经过验证
Ranga Raju VatsavaiCFEP Professor, Computer Science Dept., NCSU在 ncsu.edu 的电子邮件经过验证
Olufemi A. Omitaomu ("Femi/he/him/his")Distinguished Scientist, Oak Ridge National Laboratory在 ornl.gov 的电子邮件经过验证
Pari Delir HaghighiMonash University在 monash.edu 的电子邮件经过验证
Auroop R GangulyCOE Distinguished Professor, Fellow ASCE, Distinguished Member ACM, Northeastern University, Boston在 northeastern.edu 的电子邮件经过验证
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
Chrisina JayneTeesside University在 tees.ac.uk 的电子邮件经过验证
Seng W. LokeProfessor in Computer Science, Deakin University在 deakin.edu.au 的电子邮件经过验证
Jagdev BhogalSenior Lecturer Data Technology, Birmingham City University在 bcu.ac.uk 的电子邮件经过验证
R. Muhammad Atif AzadBirmingham City University在 bcu.ac.uk 的电子邮件经过验证
Yevgeniya KovalchukAdvanced Research Computing Centre (ARC), University College London在 ucl.ac.uk 的电子邮件经过验证

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Mohamed Medhat Gaber

Professor in Data Analytics, Birmingham City University

在 bcu.ac.uk 的电子邮件经过验证 - 首页

Artificial Intelligence Data Mining Data Stream Mining Machine Learning Random Forests


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Mining data streams: a review MM Gaber, A Zaslavsky, S Krishnaswamy ACM Sigmod Record 34 (2), 18-26, 2005	1387	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	1232	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	1147	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	633	2014
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007	355	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	219*	2014
SA-E: sentiment analysis for education N Altrabsheh, MM Gaber, M Cocea Intelligent Decision Technologies, 353-362, 2013	154	2013
Adaptive mobile activity recognition system with evolving data streams ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy Neurocomputing 150, 304-317, 2015	140	2015
Advances in data stream mining MM Gaber Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012	139	2012
A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data Streams: Models and Algorithms, 39-59, 2007	133	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	116	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	114	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	114	2012
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
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	107	2018
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	95	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	93	2016
A genetic algorithm approach to optimising random forests applied to class engineered data E Elyan, MM Gaber Information sciences 384, 220-234, 2017	86	2017
Data stream mining MM Gaber, A Zaslavsky, S Krishnaswamy Data mining and knowledge discovery handbook, 759-787, 2010	85	2010
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

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