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Mohamed Medhat Gaber
Mohamed Medhat Gaber
Professor in Data Analytics, Birmingham City University
E-mail confirmado em bcu.ac.uk - Página inicial
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Imitation learning: A survey of learning methods
A Hussein, MM Gaber, E Elyan, C Jayne
ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017
15552017
Mining data streams: a review
MM Gaber, A Zaslavsky, S Krishnaswamy
ACM Sigmod Record 34 (2), 18-26, 2005
14042005
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
12422021
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
7792014
Learning from data streams: processing techniques in sensor networks
J Gama, MM Gaber
Springer Science & Business Media, 2007
3582007
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
230*2014
SA-E: sentiment analysis for education
N Altrabsheh, MM Gaber, M Cocea
Intelligent Decision Technologies, 353-362, 2013
1632013
Adaptive mobile activity recognition system with evolving data streams
ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy
Neurocomputing 150, 304-317, 2015
1502015
Advances in data stream mining
MM Gaber
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2 (1 …, 2012
1442012
A survey of classification methods in data streams
MM Gaber, A Zaslavsky, S Krishnaswamy
Data Streams: models and algorithms, 39-59, 2007
1392007
Detrac: Transfer learning of class decomposed medical images in convolutional neural networks
A Abbas, MM Abdelsamea, MM Gaber
IEEE Access 8, 74901-74913, 2020
1342020
Edge machine learning: Enabling smart internet of things applications
MT Yazici, S Basurra, MM Gaber
Big data and cognitive computing 2 (3), 26, 2018
1302018
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
1222018
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
1222012
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
1132006
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
952016
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
952008
CHIRPS: Explaining random forest classification
J Hatwell, MM Gaber, RMA Azad
Artificial Intelligence Review 53, 5747-5788, 2020
942020
A genetic algorithm approach to optimising random forests applied to class engineered data
E Elyan, MM Gaber
Information sciences 384, 220-234, 2017
922017
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
902021
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