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ORCIDTawfiq Hasanin
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2020 – today
- 2024
[j8]Osama Bassam J. Rabie
, Shitharth Selvarajan, Tawfiq Hasanin, Gouse Baig Mohammad, Abddulrhman M. Alshareef, Mueen Uddin:
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. 23(1): 51-80 (2024)- [j7]Osama Bassam J. Rabie, Shitharth Selvarajan, Tawfiq Hasanin, Gouse Baig Mohammad, Abddulrhman M. Alshareef, Mueen Uddin:
Correction: 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. 23(3): 2489 (2024) - 2023
- [j6]Amani Abdulrahman Albraikan, Majdi Khalid, Nuha Alruwais, Tawfiq Hasanin, Ashit Kumar Dutta, Heba Mohsen, Mohammed Rizwanullah, Sara Saadeldeen Ibrahim:
Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model. IEEE Access 11: 71616-71623 (2023) - [j5]Olfat M. Mirza, Aisha Alsobhi, Tawfiq Hasanin, Mohamad Khairi Ishak, Faten Khalid Karim, Samih Mohemmed Mostafa:
Computer Aided Diagnosis for Gastrointestinal Cancer Classification Using Hybrid Rice Optimization With Deep Learning. IEEE Access 11: 76321-76329 (2023) - 2020
- [j4]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder:
Investigating class rarity in big data. J. Big Data 7(1): 23 (2020)
2010 – 2019
- 2019
- [b1]Tawfiq Hasanin:
Investigating Machine Learning Algorithms with Imbalanced Big Data. Florida Atlantic University, Boca Raton, USA, 2019 - [j3]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya:
Examining characteristics of predictive models with imbalanced big data. J. Big Data 6: 69 (2019) - [j2]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder:
Severely imbalanced Big Data challenges: investigating data sampling approaches. J. Big Data 6: 107 (2019) - [c6]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya:
Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. BigDataService 2019: 346-356 - [c5]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy:
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data. IRI 2019: 83-88 - 2018
- [c4]Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin:
An Empirical Study on Class Rarity in Big Data. ICMLA 2018: 785-790 - [c3]Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin:
Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection. ICTAI 2018: 137-142 - [c2]Tawfiq Hasanin, Taghi M. Khoshgoftaar:
The Effects of Random Undersampling with Simulated Class Imbalance for Big Data. IRI 2018: 70-79 - 2015
- [j1]Sara Landset, Taghi M. Khoshgoftaar, Aaron N. Richter, Tawfiq Hasanin:
A survey of open source tools for machine learning with big data in the Hadoop ecosystem. J. Big Data 2: 24 (2015) - [c1]Aaron N. Richter, Taghi M. Khoshgoftaar, Sara Landset, Tawfiq Hasanin:
A Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data. IRI 2015: 1-8
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