Taghi M. Khoshgoftaar

Taghi M. Khoshgoftaar

Florida Atlantic University

H-index: 93

North America-United States

About Taghi M. Khoshgoftaar

Taghi M. Khoshgoftaar, With an exceptional h-index of 93 and a recent h-index of 55 (since 2020), a distinguished researcher at Florida Atlantic University, specializes in the field of Data Mining and Machine Learning, Big Data and Data Analytics Applications.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data reduction techniques for highly imbalanced medicare Big Data

Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods

Low-shot learning and class imbalance: a survey

Synthesizing class labels for highly imbalanced credit card fraud detection data

Improving Credit Card Fraud Detection with Data Reduction Approaches

Using Random Undersampling and Ensemble Feature Selection for IoT Attack Prediction

Blockchain meets machine learning: a survey

Explainable machine learning models for Medicare fraud detection

Taghi M. Khoshgoftaar Information

University

Position

Motorola Endowed Chair Professor Computer Science

Citations(all)

57216

Citations(since 2020)

35079

Cited By

31346

hIndex(all)

93

hIndex(since 2020)

55

i10Index(all)

452

i10Index(since 2020)

263

Email

University Profile Page

Florida Atlantic University

Google Scholar

View Google Scholar Profile

Taghi M. Khoshgoftaar Skills & Research Interests

Data Mining and Machine Learning

Big Data and Data Analytics Applications

Top articles of Taghi M. Khoshgoftaar

Title

Journal

Author(s)

Publication Date

Data reduction techniques for highly imbalanced medicare Big Data

Journal of Big Data

John T Hancock

Huanjing Wang

Taghi M Khoshgoftaar

Qianxin Liang

2024/1/3

Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods

Journal of Big Data

Huanjing Wang

Qianxin Liang

John T Hancock

Taghi M Khoshgoftaar

2024/3/26

Low-shot learning and class imbalance: a survey

Journal of Big Data

Preston Billion Polak

Joseph D Prusa

Taghi M Khoshgoftaar

2024/1/2

Synthesizing class labels for highly imbalanced credit card fraud detection data

Journal of Big Data

Robert KL Kennedy

Flavio Villanustre

Taghi M Khoshgoftaar

Zahra Salekshahrezaee

2024/3/9

Improving Credit Card Fraud Detection with Data Reduction Approaches

International Journal of Reliability, Quality and Safety Engineering

Huanjing Wang

John Hancock

Taghi M Khoshgoftaar

2024/2/28

Using Random Undersampling and Ensemble Feature Selection for IoT Attack Prediction

International Journal of Reliability, Quality and Safety Engineering

Joffrey L Leevy

Taghi M Khoshgoftaar

John Hancock

2024/2/21

Blockchain meets machine learning: a survey

Journal of Big Data

Safak Kayikci

Taghi M Khoshgoftaar

2024/1/6

Explainable machine learning models for Medicare fraud detection

Journal of Big Data

John T Hancock

Richard A Bauder

Huanjing Wang

Taghi M Khoshgoftaar

2023/10/9

The effect of feature extraction and data sampling on credit card fraud detection

Journal of Big Data

Zahra Salekshahrezaee

Joffrey L Leevy

Taghi M Khoshgoftaar

2023/1/17

Data-centric ai for healthcare fraud detection

SN Computer Science

Justin M Johnson

Taghi M Khoshgoftaar

2023/5/11

A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers

John Hancock

Richard Bauder

Taghi M Khoshgoftaar

2023/11/6

Improving medicare fraud detection through big data size reduction techniques

Huanjing Wang

John T Hancock

Taghi M Khoshgoftaar

2023/7/17

Assessing one-class and binary classification approaches for identifying medicare fraud

Joffrey L Leevy

John Hancock

Taghi M Khoshgoftaar

2023/8/4

REPORT ON NSF-FUNDED GRADUATE TRAINEESHIP IN DATA SCIENCE TECHNOLOGIES AND APPLICATIONS

B Furht

R Tappen

T Khoshgoftaar

H Kalva

O Marques

...

2023

Threshold optimization and random undersampling for imbalanced credit card data

Journal of Big Data

Joffrey L Leevy

Justin M Johnson

John Hancock

Taghi M Khoshgoftaar

2023/5/6

A Novel Approach to Synthesize Class Labels in Highly Imbalanced Large Data

Robert KL Kennedy

Taghi M Khoshgoftaar

2023/11/1

Comparative analysis of binary and one-class classification techniques for credit card fraud data

Journal of Big Data

Joffrey L Leevy

John Hancock

Taghi M Khoshgoftaar

2023/7/17

Enhancing credit card fraud detection through a novel ensemble feature selection technique

Huanjing Wang

Qianxin Liang

John T Hancock

Taghi M Khoshgoftaar

2023/8/4

Evaluating classifier performance with highly imbalanced big data

Journal of Big Data

John T Hancock

Taghi M Khoshgoftaar

Justin M Johnson

2023/4/11

A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches

Huanjing Wang

Qianxin Liang

John T Hancock

Taghi M Khoshgoftaar

2023/11/1

See List of Professors in Taghi M. Khoshgoftaar University(Florida Atlantic University)