| Imitation learning: A survey of learning methods A Hussein, MM Gaber, E Elyan, C Jayne ACM Computing Surveys (CSUR) 50 (2), 1-35, 2017 | 1494 | 2017 |
| Mining data streams: a review MM Gaber, A Zaslavsky, S Krishnaswamy ACM Sigmod Record 34 (2), 18-26, 2005 | 1397 | 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 | 1232 | 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 | 757 | 2014 |
| Inhalable particulate drug delivery systems for lung cancer therapy: Nanoparticles, microparticles, nanocomposites and nanoaggregates HM Abdelaziz, M Gaber, MM Abd-Elwakil, MT Mabrouk, MM Elgohary, ... Journal of Controlled Release 269, 374-392, 2018 | 365 | 2018 |
| Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007 | 359 | 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 | 229* | 2014 |
| SA-E: sentiment analysis for education N Altrabsheh, MM Gaber, M Cocea Intelligent Decision Technologies, 353-362, 2013 | 162 | 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 | 144 | 2012 |
| A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data Streams: Models and Algorithms, 39-59, 2007 | 141 | 2007 |
| Synthesis and spectral studies of 5-[3-(1, 2, 4-triazolyl-azo]-2, 4-dihydroxybenzaldehyde (TA) and its Schiff bases with 1, 3-diaminopropane (TAAP) and 1, 6-diaminohexane (TAAH … AM Khedr, M Gaber, RM Issa, H Erten Dyes and pigments 67 (2), 117-126, 2005 | 137 | 2005 |
| Detrac: Transfer learning of class decomposed medical images in convolutional neural networks A Abbas, MM Abdelsamea, MM Gaber IEEE Access 8, 74901-74913, 2020 | 134 | 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 | 128 | 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 |
| 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 | 119 | 2018 |
| Protein-lipid nanohybrids as emerging platforms for drug and gene delivery: challenges and outcomes M Gaber, W Medhat, M Hany, N Saher, JY Fang, A Elzoghby Journal of Controlled Release 254, 75-91, 2017 | 115 | 2017 |
| 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 |
