Mohamed Medhat Gaber
Mohamed Medhat Gaber
Professor in Data Analytics, Birmingham City University, and Galala University
Verified email at - Homepage
Cited by
Cited by
Mining data streams: a review
MM Gaber, A Zaslavsky, S Krishnaswamy
ACM Sigmod Record 34 (2), 18-26, 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
Imitation learning: A survey of learning methods
A Hussein, MM Gaber, E Elyan, C Jayne
ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017
Learning from data streams: processing techniques in sensor networks
J Gama, MM Gaber
Springer Science & Business Media, 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
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
Data stream mining
MM Gaber, A Zaslavsky, S Krishnaswamy
Data Mining and Knowledge Discovery Handbook, 759-787, 2009
Adaptive mobile activity recognition system with evolving data streams
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
Neurocomputing 150, 304-317, 2015
Advances in data stream mining
MM Gaber
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012
A survey of classification methods in data streams
MM Gaber, A Zaslavsky, S Krishnaswamy
Data streams, 39-59, 2007
SA-E: sentiment analysis for education
N Altrabsheh, MM Gaber, M Cocea
Frontiers in Artificial Intelligence and Applications 255, 353-362, 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
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
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
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
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
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
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
Density-based projected clustering of data streams
M Hassani, P Spaus, MM Gaber, T Seidl
International Conference on Scalable Uncertainty Management, 311-324, 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
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