Neamat El Gayar

Orcid: 0000-0003-1467-1115

According to our database1, Neamat El Gayar authored at least 25 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A Review of Capsule Networks in Medical Image Analysis.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2022

2021
Explainable Artificial Intelligence in Healthcare: Opportunities, Gaps and Challenges and a Novel Way to Look at the Problem Space.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2018
Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition.
Neural Process. Lett., 2018

2014
A Time Series Classification Approach for Motion Analysis Using Ensembles in Ubiquitous Healthcare Systems.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2012
Complementary feature splits for co-training.
Proceedings of the 11th International Conference on Information Science, 2012

Adaptive biometric verification system using quality-based co-training.
Proceedings of the 11th International Conference on Information Science, 2012

2010
Investigating analysis of speech content through text classification.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Emotions analysis of speech for call classification.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

A semi-supervised learning approach for soft labeled data.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Support Vector Machine ensembles using features distribution among subsets for enhancing microarray data classification.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Improved Technique to Detect the Infarction in Delayed Enhancement Image Using K-Mean Method.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

Body and Visual Sensor Fusion for Motion Analysis in Ubiquitous Healthcare Systems.
Proceedings of the International Conference on Body Sensor Networks, 2010

Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservations.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniques.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

Change analysis for gait impairment quantification in smart environments.
Proceedings of the Autonomous and Intelligent Systems - First International Conference, 2010

2009
A new approach in content-based image retrieval using fuzzy.
Telecommun. Syst., 2009

MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Fuzzy Gaussian Process Classification Model.
Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

2007
A Co-training Approach for Time Series Prediction with Missing Data.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Regression in the Presence Missing Data Using Ensemble Methods.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
A Rough Set Approach to Multiple Classifier Systems.
Fundam. Informaticae, 2006

A Study of the Robustness of KNN Classifiers Trained Using Soft Labels.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2004
An Experimental Study of a Self-Supervised Classifier Ensemble.
Proceedings of the International Conference on Computational Intelligence, 2004


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