Neamat El Gayar

Ahmed Salaheldin, Neamat Farouk El Gayar: Complementary feature splits for co-training. ISSPA 2012: 1303-1308

Tarek M. Mostafa, Iman A. El Azab, Neamat Farouk El Gayar: Adaptive biometric verification system using quality-based co-training. ISSPA 2012: 1313-1318

Ahmed Salah El-Din, Mohamed ElSayed, Abubakr Alsebai, Neamat El Gayar, Mohamed ElHelw: Change analysis for gait impairment quantification in smart environments. AIS 2010: 1-6

Abdallah G. Motaal, Neamat El Gayar, Nael F. Osman: Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniques. ANNPR 2010: 231-240

Athanasius Zakhary, Neamat El Gayar, Sanaa El-Ola. H. Ahmed: Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservations. ANNPR 2010: 241-251

Mohamed ElSayed, Abubakr Alsebai, Ahmed Salaheldin, Neamat El Gayar, Mohamed ElHelw: Body and Visual Sensor Fusion for Motion Analysis in Ubiquitous Healthcare Systems. BSN 2010: 250-254

Mohamed K. Metwally, Neamat El Gayar, Nael F. Osman: Improved Technique to Detect the Infarction in Delayed Enhancement Image Using K-Mean Method. ICIAR (2) 2010: 108-119

Esraa Ali Hassan, Neamat El Gayar, M. Ghanem Moustafa: Emotions analysis of speech for call classification. ISDA 2010: 242-247

Mohamed M. El-Zahhar, Neamat Farouk El Gayar: A semi-supervised learning approach for soft labeled data. ISDA 2010: 1136-1141

Eman Ahmed, Neamat El Gayar, Iman A. El Azab: Support Vector Machine ensembles using features distribution among subsets for enhancing microarray data classification. ISDA 2010: 1242-1246

Ahmed Salah El-Din, Neamat El Gayar: New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization. MCS 2010: 22-32

Souraya Ezzat, Neamat El Gayar, M. Ghanem Moustafa: Investigating analysis of speech content through text classification. SoCPaR 2010: 105-110

Friedhelm Schwenker, Neamat El Gayar (Eds.): Artificial Neural Networks in Pattern Recognition, 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings. Lecture Notes in Computer Science 5998, Springer 2010, isbn 978-3-642-12158-6

Neamat El Gayar, Josef Kittler, Fabio Roli (Eds.): Multiple Classifier Systems, 9th International Workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010. Proceedings. Lecture Notes in Computer Science 5997, Springer 2010, isbn 978-3-642-12126-5

Heba Aboulmagd, Neamat El Gayar, Hoda Onsi: A new approach in content-based image retrieval using fuzzy. Telecommunication Systems 40(1-2): 55-66 (2009)

Eman Ahmed, Neamat El Gayar, Amir F. Atiya, Iman A. El Azab: Fuzzy Gaussian Process Classification Model. ICIAR 2009: 369-376

Waleed M. Azmy, Neamat El Gayar, Amir F. Atiya, Hisham El-Shishiny: MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction. MCS 2009: 428-437

Mostafa M. Hassan, Amir F. Atiya, Neamat El Gayar, Raafat El-Fouly: Regression in the Presence Missing Data Using Ensemble Methods. IJCNN 2007: 1261-1265

Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya: A Co-training Approach for Time Series Prediction with Missing Data. MCS 2007: 93-102

Zbigniew Suraj, Neamat El Gayar, Pawel Delimata: A Rough Set Approach to Multiple Classifier Systems. Fundam. Inform. 72(1-3): 393-406 (2006)

Neamat El Gayar, Friedhelm Schwenker, Günther Palm: A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. ANNPR 2006: 67-80

Neamat El Gayar: An Experimental Study of a Self-Supervised Classifier Ensemble. International Conference on Computational Intelligence 2004: 197-201