Yasser M. K. Omar
Orcid: 0000-0002-7079-1894
According to our database1,
Yasser M. K. Omar
authored at least 15 papers
between 2017 and 2023.
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Bibliography
2023
Proceedings of the 5th Novel Intelligent and Leading Emerging Sciences Conference, 2023
2022
Ensemble Machine Learning Techniques Using Computer Simulation Data for Wild Blueberry Yield Prediction.
IEEE Access, 2022
2021
Soft Comput., 2021
Health Informatics J., 2021
Data Clustering Improves Siamese Neural Networks Classification of Parkinson's Disease.
Complex., 2021
Combined Predictive Model for Classifying and Lifetime Regression of Meat Based on Electronic Nose.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2021
2020
Corrigendum to "An Approach for Evolving Transformation Sequences Using Hybrid Genetic Algorithms" [International Journal of Computational Intelligence Systems Vol. 13(1), 2020, pp. 223-233].
Int. J. Comput. Intell. Syst., 2020
Int. J. Comput. Intell. Syst., 2020
Self-organizing map vs initial centroid selection optimization to enhance k-means with genetic algorithm to cluster transcribed broadcast news documents.
Int. Arab J. Inf. Technol., 2020
Machine Learning Approaches for Human Activity Recognition Based on Multimodal Body Sensors.
Proceedings of the Intelligent Systems Design and Applications, 2020
2019
An Innovative Word Encoding Method For Text Classification Using Convolutional Neural Network.
CoRR, 2019
Predicting Drug Interaction With Adenosine Receptors Using Machine Learning and SMOTE Techniques.
IEEE Access, 2019
Predicting Drug Target Interaction by Integrating Drug Fingerprint and Drug Side Effect Using Machine Learning.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019
2017
Effects of FSM minimization techniques on number of test paths in mobile applications MBT.
Proceedings of the 15th IEEE International Conference on Software Engineering Research, 2017
Understanding the Impact of Using Ontology Matching Tools for Validating Feature Models with Domain Knowledge.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017