Tawfiq Hasanin

Orcid: 0000-0003-1072-278X

According to our database1, Tawfiq Hasanin authored at least 14 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

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Bibliography

2024
A full privacy-preserving distributed batch-based certificate-less aggregate signature authentication scheme for healthcare wearable wireless medical sensor networks (HWMSNs).
Int. J. Inf. Sec., February, 2024

2023
Computer Aided Diagnosis for Gastrointestinal Cancer Classification Using Hybrid Rice Optimization With Deep Learning.
IEEE Access, 2023

Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model.
IEEE Access, 2023

2020
Investigating class rarity in big data.
J. Big Data, 2020

2019
Investigating Machine Learning Algorithms with Imbalanced Big Data.
PhD thesis, 2019

Examining characteristics of predictive models with imbalanced big data.
J. Big Data, 2019

Severely imbalanced Big Data challenges: investigating data sampling approaches.
J. Big Data, 2019

A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

2018
The Effects of Random Undersampling with Simulated Class Imbalance for Big Data.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

An Empirical Study on Class Rarity in Big Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2015
A survey of open source tools for machine learning with big data in the Hadoop ecosystem.
J. Big Data, 2015

A Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015


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