Tawfiq Hasanin

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 13

Top Venues

Florida Atlantic University, Boca Raton, USA (PHD)

Education History

Florida Atlantic University, Boca Raton, USA

PHD

Publications

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) (2024)
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 (2023)
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 (2023)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder
Investigating class rarity in big data. J. Big Data 7 (1) (2020)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya
Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. BigDataService (2019)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data. IRI (2019)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder
Severely imbalanced Big Data challenges: investigating data sampling approaches. J. Big Data 6 (2019)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya
Examining characteristics of predictive models with imbalanced big data. J. Big Data 6 (2019)
Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin
An Empirical Study on Class Rarity in Big Data. ICMLA (2018)
Tawfiq Hasanin, Taghi M. Khoshgoftaar
The Effects of Random Undersampling with Simulated Class Imbalance for Big Data. IRI (2018)
Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin
Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection. ICTAI (2018)
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 (2015)
Aaron N. Richter, Taghi M. Khoshgoftaar, Sara Landset, Tawfiq Hasanin
A Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data. IRI (2015)

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Publication Activity (10 Years)

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Tawfiq Hasanin