Ibrahim A. Ibrahim

According to our database, Ibrahim A. Ibrahim authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A periodic electric Eel algorithm with predictive trajectory motion for high-dimensional feature selection and early oral cancer classification via novel deep feature fusion.

Ibrahim A. Ibrahim, Mahmoud Abdel-Salam, Mohammad Khishe, Essam H. Houssein

J. Big Data, December, 2026

Correction: An effective multiclass skin cancer classification approach based on deep convolutional neural network.

Essam H. Houssein, Doaa A. Abdelkareem, Gang Hu, Mohamed Abdel Hameed, Ibrahim A. Ibrahim, Mina Younan

Clust. Comput., June, 2026

2025

Optimizing action recognition: a residual convolution with hierarchical and gram matrix based attention mechanisms.

Essam H. Houssein, Ibrahim A. Ibrahim, Mohamed A. Mahdy, Mohammed Kayed, Abdullah M. Albarrak, Waleed M. Mohamed

J. Big Data, December, 2025

Towards neural named entity recognition system in Tigrinya with large-scale dataset.

Sham K. Berhane, Simon M. Beyene, Yoel G. Teklit, Ibrahim A. Ibrahim, Natnael A. Teklu, Sirak A. Bereketeab, Fitsum Gaim

Lang. Resour. Evaluation, September, 2025

2024

Nature inspired optimization algorithms for medical image segmentation: a comprehensive review.

Essam H. Houssein, Gaber M. Mohamed, Youcef Djenouri, Yaser Maher Wazery, Ibrahim A. Ibrahim

Clust. Comput., December, 2024

An effective multiclass skin cancer classification approach based on deep convolutional neural network.

Essam H. Houssein, Doaa A. Abdelkareem, Gang Hu, Mohamed Abdel Hameed, Ibrahim A. Ibrahim, Mina Younan

Clust. Comput., December, 2024

2020

Correlation-based search for time series data.

Ibrahim A. Ibrahim, Abdullah M. Albarrak

Int. J. Comput. Appl. Technol., 2020

2019

Constraint-based recommendations of query visualization in big data

Ibrahim A. Ibrahim

PhD thesis, 2019

2018

Learning Concept Hierarchy from Short Texts Using Context Coherence.

Abdulqader Almars, Xue Li, Ibrahim A. Ibrahim, Xin Zhao

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Automated Explanations of User-Expected Trends for Aggregate Queries.

Ibrahim A. Ibrahim, Xue Li, Xin Zhao, Sanad Al-Maskari, Abdullah M. Albarrak, Yanjun Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Interesting Recommendations Based on Hierarchical Visualizations of Medical Data.

Ibrahim A. Ibrahim, Abdulqader M. Almars, Suresh Pokharel, Xin Zhao, Xue Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Evaluation Methods of Hierarchical Models.

Abdulqader M. Almars, Ibrahim A. Ibrahim, Xin Zhao, Sanad Al-Maskari

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

Efficiently Mining Constrained Subsequence Patterns.

Abdullah M. Albarrak, Sanad Al-Maskari, Ibrahim A. Ibrahim, Abdulqader M. Almars

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

Feature Extraction for Smart Sensing Using Multi-perspectives Transformation.

Sanad Al-Maskari, Ibrahim A. Ibrahim, Xue Li, Eimad Abdu Abusham, Abdulqader Almars

Proceedings of the Databases Theory and Applications, 2018

2017

Constrained recommendations for query visualizations.

Ibrahim A. Ibrahim, Abdullah M. Albarrak, Xue Li

Knowl. Inf. Syst., 2017

Structured Sentiment Analysis.

Abdulqader Almars, Xue Li, Xin Zhao, Ibrahim A. Ibrahim, Weiwei Yuan, Bohan Li

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017