| Survey on deep learning with class imbalance JM Johnson, TM Khoshgoftaar Journal of big data 6 (1), 1-54, 2019 | 2487 | 2019 |
| Medicare fraud detection using neural networks JM Johnson, TM Khoshgoftaar Journal of Big Data 6 (1), 63, 2019 | 113 | 2019 |
| The effects of data sampling with deep learning and highly imbalanced big data JM Johnson, TM Khoshgoftaar Information Systems Frontiers 22 (5), 1113-1131, 2020 | 80 | 2020 |
| Deep learning and data sampling with imbalanced big data JM Johnson, TM Khoshgoftaar 2019 IEEE 20th international conference on information reuse and integration …, 2019 | 56 | 2019 |
| Deep learning and thresholding with class-imbalanced big data JM Johnson, TM Khoshgoftaar 2019 18th IEEE international conference on machine learning and applications …, 2019 | 30 | 2019 |
| A survey on classifying big data with label noise JM Johnson, TM Khoshgoftaar ACM Journal of Data and Information Quality 14 (4), 1-43, 2022 | 28 | 2022 |
| Medical Provider Embeddings for Healthcare Fraud Detection TMK JM Johnson Springer Nature Computer Science 2 (276), 2021 | 27 | 2021 |
| Evaluating classifier performance with highly imbalanced big data JT Hancock, TM Khoshgoftaar, JM Johnson Journal of Big Data 10 (1), 42, 2023 | 25 | 2023 |
| Threshold optimization and random undersampling for imbalanced credit card data JHTMK Joffrey L. Leevy, Justin M. Johnson Journal of Big Data 10 (58), 2023 | 22 | 2023 |
| Thresholding strategies for deep learning with highly imbalanced big data JM Johnson, TM Khoshgoftaar Deep Learning Applications, Volume 2, 199-227, 2021 | 22 | 2021 |
| Data-centric ai for healthcare fraud detection JM Johnson, TM Khoshgoftaar SN Computer Science 4 (4), 389, 2023 | 21 | 2023 |
| The effects of class label noise on highly-imbalanced big data RKL Kennedy, JM Johnson, TM Khoshgoftaar 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 20 | 2021 |
| Encoding techniques for high-cardinality features and ensemble learners JM Johnson, TM Khoshgoftaar 2021 IEEE 22nd international conference on information reuse and integration …, 2021 | 18 | 2021 |
| Hcpcs2vec: Healthcare procedure embeddings for medicare fraud prediction JM Johnson, TM Khoshgoftaar 2020 IEEE 6th international conference on collaboration and internet …, 2020 | 17 | 2020 |
| The effects of random undersampling for big data medicare fraud detection J Hancock, TM Khoshgoftaar, JM Johnson 2022 IEEE International Conference on Service-Oriented System Engineering …, 2022 | 16 | 2022 |
| Informative evaluation metrics for highly imbalanced big data classification J Hancock, TM Khoshgoftaar, JM Johnson 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 15 | 2022 |
| Semantic embeddings for medical providers and fraud detection JM Johnson, TM Khoshgoftaar 2020 IEEE 21st International conference on information reuse and integration …, 2020 | 15 | 2020 |
| Encoding high-dimensional procedure codes for healthcare fraud detection JM Johnson, TM Khoshgoftaar SN Computer Science 3 (5), 362, 2022 | 12 | 2022 |
| A comparative approach to threshold optimization for classifying imbalanced data J Hancock, JM Johnson, TM Khoshgoftaar 2022 IEEE 8th International Conference on Collaboration and Internet …, 2022 | 11 | 2022 |
| Robust thresholding strategies for highly imbalanced and noisy data JM Johnson, TM Khoshgoftaar 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 11 | 2021 |
Taghi M. KhoshgoftaarMotorola Endowed Chair Professor, Computer Science, Florida Atlantic University在 fau.edu 的电子邮件经过验证
Taghi M. KhoshgoftaarMotorola Endowed Chair Professor, Computer Science, Florida Atlantic University在 fau.edu 的电子邮件经过验证