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2020 – today
- 2024
[c23]Jia Qing Poh, John See, Neamat El Gayar
, Lai-Kuan Wong:
Are You Paying Attention? Multimodal Linear Attention Transformers for Affect Prediction in Video Conversations. MRAC@MM 2024: 15-23- 2023
- [e5]Neamat El Gayar, Edmondo Trentin, Mirco Ravanelli, Hazem Abbas:
Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings. Lecture Notes in Computer Science 13739, Springer 2023, ISBN 978-3-031-20649-8 [contents] - 2022
- [c22]Heba El-Shimy, Hind Zantout, Michael A. Lones, Neamat El Gayar:
A Review of Capsule Networks in Medical Image Analysis. ANNPR 2022: 65-80 - 2021
- [c21]Petra Korica, Neamat El Gayar, Wei Pang:
Explainable Artificial Intelligence in Healthcare: Opportunities, Gaps and Challenges and a Novel Way to Look at the Problem Space. IDEAL 2021: 333-342
2010 – 2019
- 2018
- [j3]Edmondo Trentin, Friedhelm Schwenker, Neamat El Gayar, Hazem M. Abbas:
Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition. Neural Process. Lett. 48(2): 643-648 (2018) - 2016
- [e4]Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin:
Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings. Lecture Notes in Computer Science 9896, Springer 2016, ISBN 978-3-319-46181-6 [contents] - 2014
- [c20]Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya:
Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data. ANNPR 2014: 93-104 - [c19]Rana Salaheldin, Mohamed ElHelw, Neamat El Gayar:
A Time Series Classification Approach for Motion Analysis Using Ensembles in Ubiquitous Healthcare Systems. ANNPR 2014: 277-288 - [e3]Neamat El Gayar, Friedhelm Schwenker, Cheng Suen:
Artificial Neural Networks in Pattern Recognition - 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014. Proceedings. Lecture Notes in Computer Science 8774, Springer 2014, ISBN 978-3-319-11655-6 [contents] - 2012
- [c18]Ahmed Salaheldin, Neamat Farouk El Gayar:
Complementary feature splits for co-training. ISSPA 2012: 1303-1308 - [c17]Tarek M. Mostafa, Iman A. El Azab, Neamat Farouk El Gayar:
Adaptive biometric verification system using quality-based co-training. ISSPA 2012: 1313-1318 - 2010
- [c16]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 - [c15]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 - [c14]Athanasius Zakhary, Neamat El Gayar, Sanaa El-Ola. H. Ahmed:
Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservations. ANNPR 2010: 241-251 - [c13]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 - [c12]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 - [c11]Esraa Ali Hassan, Neamat El Gayar, M. Ghanem Moustafa:
Emotions analysis of speech for call classification. ISDA 2010: 242-247 - [c10]Mohamed M. El-Zahhar, Neamat Farouk El Gayar:
A semi-supervised learning approach for soft labeled data. ISDA 2010: 1136-1141 - [c9]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 - [c8]Ahmed Salah El-Din, Neamat El Gayar:
New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization. MCS 2010: 22-32 - [c7]Souraya Ezzat, Neamat El Gayar, M. Ghanem Moustafa:
Investigating analysis of speech content through text classification. SoCPaR 2010: 105-110 - [e2]Friedhelm Schwenker, Neamat El Gayar:
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 [contents] - [e1]Neamat El Gayar, Josef Kittler, Fabio Roli:
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 [contents]
2000 – 2009
- 2009
- [j2]Heba Aboulmagd, Neamat El Gayar, Hoda Onsi:
A new approach in content-based image retrieval using fuzzy. Telecommun. Syst. 40(1-2): 55-66 (2009) - [c6]Eman Ahmed, Neamat El Gayar, Amir F. Atiya, Iman A. El Azab:
Fuzzy Gaussian Process Classification Model. ICIAR 2009: 369-376 - [c5]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 - 2007
- [c4]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 - [c3]Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya:
A Co-training Approach for Time Series Prediction with Missing Data. MCS 2007: 93-102 - 2006
- [j1]Zbigniew Suraj, Neamat El Gayar, Pawel Delimata:
A Rough Set Approach to Multiple Classifier Systems. Fundam. Informaticae 72(1-3): 393-406 (2006) - [c2]Neamat El Gayar, Friedhelm Schwenker, Günther Palm:
A Study of the Robustness of KNN Classifiers Trained Using Soft Labels. ANNPR 2006: 67-80 - 2004
- [c1]Neamat El Gayar:
An Experimental Study of a Self-Supervised Classifier Ensemble. International Conference on Computational Intelligence 2004: 197-201
Coauthor Index
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