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Mohamed A. Ismail
Mohamed A. Ismail
Professor of Computer Science, Alexandria University, Faculty of Engineering,
Bestätigte E-Mail-Adresse bei alexu.edu.eg
Titel
Zitiert von
Zitiert von
Jahr
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
17631984
Fuzzy clustering for symbolic data
Y El-Sonbaty, MA Ismail
IEEE Transactions on Fuzzy Systems 6 (2), 195-204, 1998
2091998
Off-line Arabic signature recognition and verification
MA Ismail, S Gad
Pattern Recognition 33 (10), 1727-1740, 2000
1692000
Soft clustering of multidimensional data: a semi-fuzzy approach
SZ Selim, MA Ismail
Pattern Recognition 17 (5), 559-568, 1984
1071984
Multidimensional data clustering utilizing hybrid search strategies
MA Ismail, MS Kamel
Pattern Recognition 22 (1), 75-89, 1989
1061989
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
1012014
Fuzzy c-means: optimality of solutions and effective termination of the algorithm
MA Ismail, SZ Selim
Pattern recognition 19 (6), 481-485, 1986
951986
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
932004
Techniques for language identification for hybrid Arabic-English document images
AM Elgammal, MA Ismail
Proceedings of sixth international conference on document analysis and …, 2001
922001
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
882013
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
661986
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
602009
Fuzzy query processing using clustering techniques
M Kamel, B Hadfield, M Ismail
Information processing & management 26 (2), 279-293, 1990
591990
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
582001
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
562016
Efficient incremental density-based algorithm for clustering large datasets
AM Bakr, NM Ghanem, MA Ismail
Alexandria Engineering Journal 54 (4), 1147-1154, 2015
542015
On-line hierarchical clustering
Y El-Sonbaty, MA Ismail
Pattern Recognition Letters 19 (14), 1285-1291, 1998
541998
A new algorithm for subgraph optimal isomorphism
Y El-Sonbaty, MA Ismail
Pattern Recognition 31 (2), 205-218, 1998
431998
Soft clustering: algorithms and validity of solutions
MA Ismail
Fuzzy Computing, 445-471, 1988
431988
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