Tawfiq Hasanin

发表

LSTM-Based RNN Framework to Remove Motion Artifacts in Dynamic Multicontrast MR Images with Registration Model

S. Ayub, R. Kannan, Raed Alsini, 2022, Wireless Communications and Mobile Computing.

A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data

Taghi M. Khoshgoftaar, Tawfiq Hasanin, Joffrey L. Leevy, 2019, 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI).

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data

Taghi M. Khoshgoftaar, Naeem Seliya, Tawfiq Hasanin, 2019, 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService).

A survey of open source tools for machine learning with big data in the Hadoop ecosystem

Taghi M. Khoshgoftaar, Aaron N. Richter, Sara Landset, 2015, Journal of Big Data.

The Effects of Random Undersampling with Simulated Class Imbalance for Big Data

Taghi M. Khoshgoftaar, Tawfiq Hasanin, T. Khoshgoftaar, 2018, 2018 IEEE International Conference on Information Reuse and Integration (IRI).

A survey of open source tools for machine learning with big data in the Hadoop ecosystem

Aaron N. Richter, T. Khoshgoftaar, Tawfiq Hasanin, 2015, Journal of Big Data.

Severely imbalanced Big Data challenges: investigating data sampling approaches

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2019, Journal of Big Data.

Severely imbalanced Big Data challenges: investigating data sampling approaches

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2019, Journal of Big Data.

Experimental Studies on the Impact of Data Sampling with Severely Imbalanced Big Data

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2020 .

Biomedical Signals for Healthcare Using Hadoop Infrastructure with Artificial Intelligence and Fuzzy Logic Interpretation

Mueen Uddin, A. Alsufyani, S. Selvarajan, 2022, Applied Sciences.

Exploration of Despair Eccentricities Based on Scale Metrics with Feature Sampling Using a Deep Learning Algorithm

S. S. Sengar, S. Satapathy, S. Selvarajan, 2022, Diagnostics.

Mathematical approach of fiber optics for renewable energy sources using general adversarial networks

Hassan A. Alterazi, Gautam Srivastava, S. Selvarajan, 2023, Frontiers in Ecology and Evolution.

An Empirical Study on Class Rarity in Big Data

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

A Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data

Taghi M. Khoshgoftaar, Aaron N. Richter, Sara Landset, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Investigating class rarity in big data

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2020, Journal of Big Data.

Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Examining characteristics of predictive models with imbalanced big data

Joffrey L. Leevy, T. Khoshgoftaar, Naeem Seliya, 2019, Journal of Big Data.

Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model

Mohammed Rizwanullah, A. Albraikan, Nuha Alruwais, 2023, IEEE Access.