| K-means-type algorithms: a generalized convergence theorem and characterization of local optimality SZ Selim, MA Ismail IEEE Transactions on pattern analysis and machine intelligence, 81-87, 1984 | 1718 | 1984 |
| Fuzzy clustering for symbolic data Y El-Sonbaty, MA Ismail IEEE Transactions on Fuzzy Systems 6 (2), 195-204, 1998 | 208 | 1998 |
| Off-line Arabic signature recognition and verification MA Ismail, S Gad Pattern Recognition 33 (10), 1727-1740, 2000 | 164 | 2000 |
| Soft clustering of multidimensional data: a semi-fuzzy approach SZ Selim, MA Ismail Pattern Recognition 17 (5), 559-568, 1984 | 107 | 1984 |
| Multidimensional data clustering utilizing hybrid search strategies MA Ismail, MS Kamel Pattern Recognition 22 (1), 75-89, 1989 | 105 | 1989 |
| Multi-level gene/MiRNA feature selection using deep belief nets and active learning R Ibrahim, NA Yousri, MA Ismail, NM El-Makky 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 99 | 2014 |
| Fuzzy c-means: optimality of solutions and effective termination of the algorithm MA Ismail, SZ Selim Pattern recognition 19 (6), 481-485, 1986 | 95 | 1986 |
| An efficient density based clustering algorithm for large databases Y El-Sonbaty, MA Ismail, M Farouk 16th IEEE international conference on tools with artificial intelligence …, 2004 | 91 | 2004 |
| Techniques for language identification for hybrid Arabic-English document images AM Elgammal, MA Ismail Proceedings of sixth international conference on document analysis and …, 2001 | 89 | 2001 |
| Vscan: an enhanced video summarization using density-based spatial clustering KM Mahmoud, MA Ismail, NM Ghanem Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 86 | 2013 |
| On the local optimality of the fuzzy isodata clustering algorithm SZ Selim, MA Ismail IEEE Transactions on Pattern Analysis and Machine Intelligence, 284-288, 1986 | 66 | 1986 |
| Corrigendum to “A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities”[Pattern Recognition 42 (2009) 1193–1209] NA Yousri, MS Kamel, MA Ismail Pattern Recognition 45 (9), 3580-3582, 2012 | 60* | 2012 |
| A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities NA Yousri, MS Kamel, MA Ismail Pattern Recognition 42 (7), 1193-1209, 2009 | 60 | 2009 |
| Fuzzy query processing using clustering techniques M Kamel, B Hadfield, M Ismail Information processing & management 26 (2), 279-293, 1990 | 59 | 1990 |
| A graph-based segmentation and feature extraction framework for Arabic text recognition AM Elgammal, MA Ismail Proceedings of Sixth International Conference on Document Analysis and …, 2001 | 58 | 2001 |
| Brain tumor segmantation using random forest trained on iteratively selected patients A Ellwaa, A Hussein, E AlNaggar, M Zidan, M Zaki, MA Ismail, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 54 | 2016 |
| On-line hierarchical clustering Y El-Sonbaty, MA Ismail Pattern Recognition Letters 19 (14), 1285-1291, 1998 | 54 | 1998 |
| Efficient incremental density-based algorithm for clustering large datasets AM Bakr, NM Ghanem, MA Ismail Alexandria Engineering Journal 54 (4), 1147-1154, 2015 | 47 | 2015 |
| A new algorithm for subgraph optimal isomorphism Y El-Sonbaty, MA Ismail Pattern Recognition 31 (2), 205-218, 1998 | 43 | 1998 |
| Soft clustering: algorithms and validity of solutions MA Ismail Fuzzy Computing, 445-471, 1988 | 43 | 1988 |
Yasser El-SonbatyProfessor of Computer Science, Arab Academy for Science and Technology在 aast.edu 的电子邮件经过验证
