Mohamed Medhat Gaber

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Shonali KrishnaswamyMonash UniversityDirección de correo verificada de i2r.a-star.edu.sg
Arkady ZaslavskyDeakin University, Data61 @ CSIRO, Monash University, Lulea University of Technology(Sweden)Dirección de correo verificada de deakin.edu.au
Mohammed AbdelsameaSenior Lecturer, Exeter University, UKDirección de correo verificada de exeter.ac.uk
Joao GamaProfessor Emeritus, Faculty of Economics, University of Porto, and INESC TECDirección de correo verificada de fep.up.pt
Dr. Frederic StahlGerman Research Center for Artificial Intelligence (Germany), University of Reading (United Kingdom)Dirección de correo verificada de dfki.de
João Bártolo GomesI2R - Institute for Infocomm Research - A*StarDirección de correo verificada de i2r.a-star.edu.sg
Dr. Khaled FawagrehPrince Mohammad Bin Fahd UniversityDirección de correo verificada de pmu.edu.sa
Mariam Adedoyin-OloweBirmingham City UniversityDirección de correo verificada de bcu.ac.uk
Shadi BasurraProfessor of Intelligent Systems, Birmingham City University, UKDirección de correo verificada de bath.edu
Zahraa S. AbdallahSenior Lecturer, School of Engineering Mathematics and Technology, University of Bristol, UKDirección de correo verificada de bristol.ac.uk
Ranga Raju VatsavaiCFEP Professor, Computer Science Dept., NCSUDirección de correo verificada de ncsu.edu
Chrisina JayneTeesside UniversityDirección de correo verificada de tees.ac.uk
Pari Delir HaghighiMonash UniversityDirección de correo verificada de monash.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoDirección de correo verificada de cs.uic.edu
Olufemi A. Omitaomu ("Femi/he/him/his")Distinguished Scientist, Oak Ridge National LaboratoryDirección de correo verificada de ornl.gov
Jagdev BhogalSenior Lecturer Data Technology, Birmingham City UniversityDirección de correo verificada de bcu.ac.uk
R. Muhammad Atif AzadBirmingham City UniversityDirección de correo verificada de bcu.ac.uk
Auroop R GangulyCOE Distinguished Professor, Fellow ASCE, Distinguished Member ACM, Northeastern University, BostonDirección de correo verificada de northeastern.edu
Seng W. LokeProfessor in Computer Science, Deakin UniversityDirección de correo verificada de deakin.edu.au
Yevgeniya KovalchukAdvanced Research Computing Centre (ARC), University College LondonDirección de correo verificada de ucl.ac.uk

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Mohamed Medhat Gaber

Professor in Data Analytics, Birmingham City University

Dirección de correo verificada de bcu.ac.uk - Página principal

Artificial Intelligence Data Mining Data Stream Mining Machine Learning Random Forests


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Imitation learning: A survey of learning methods A Hussein, MM Gaber, E Elyan, C Jayne ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017	1579	2017
Mining data streams: a review MM Gaber, A Zaslavsky, S Krishnaswamy ACM Sigmod Record 34 (2), 18-26, 2005	1405	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, 854-864, 2021	1249	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	793	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	231*	2014
SA-E: sentiment analysis for education N Altrabsheh, MM Gaber, M Cocea Intelligent Decision Technologies, 353-362, 2013	163	2013
Adaptive mobile activity recognition system with evolving data streams ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy Neurocomputing 150, 304-317, 2015	150	2015
Advances in data stream mining MM Gaber Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012	145	2012
A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data Streams: models and algorithms, 39-59, 2007	139	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	136	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	130	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	124	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	122	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
CHIRPS: Explaining random forest classification J Hatwell, MM Gaber, RMA Azad Artificial Intelligence Review 53, 5747-5788, 2020	96	2020
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	95	2016
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 genetic algorithm approach to optimising random forests applied to class engineered data E Elyan, MM Gaber Information sciences 384, 220-234, 2017	92	2017
4S-DT: Self-supervised super sample decomposition for transfer learning with application to COVID-19 detection A Abbas, MM Abdelsamea, MM Gaber IEEE Transactions on Neural Networks and Learning Systems 32 (7), 2798-2808, 2021	90	2021

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