| A survey on image data augmentation for deep learning C Shorten, TM Khoshgoftaar Journal of big data 6 (1), 1-48, 2019 | 12710 | 2019 |
| A survey of transfer learning K Weiss, TM Khoshgoftaar, DD Wang Journal of Big data 3, 1-40, 2016 | 6799 | 2016 |
| A survey of collaborative filtering techniques X Su, TM Khoshgoftaar Advances in artificial intelligence 2009 (1), 421425, 2009 | 5504 | 2009 |
| Deep learning applications and challenges in big data analytics MM Najafabadi, F Villanustre, TM Khoshgoftaar, N Seliya, R Wald, ... Journal of big data 2, 1-21, 2015 | 3076 | 2015 |
| Survey on deep learning with class imbalance JM Johnson, TM Khoshgoftaar Journal of big data 6 (1), 1-54, 2019 | 2854 | 2019 |
| RUSBoost: A hybrid approach to alleviating class imbalance C Seiffert, TM Khoshgoftaar, J Van Hulse, A Napolitano IEEE transactions on systems, man, and cybernetics-part A: systems and …, 2009 | 2132 | 2009 |
| Experimental perspectives on learning from imbalanced data J Van Hulse, TM Khoshgoftaar, A Napolitano Proceedings of the 24th international conference on Machine learning, 935-942, 2007 | 995 | 2007 |
| CatBoost for big data: an interdisciplinary review JT Hancock, TM Khoshgoftaar Journal of big data 7 (1), 94, 2020 | 976 | 2020 |
| A survey on addressing high-class imbalance in big data JL Leevy, TM Khoshgoftaar, RA Bauder, N Seliya Journal of Big Data 5 (1), 1-30, 2018 | 799 | 2018 |
| The detection of fault-prone programs JC Munson, TM Khoshgoftaar IEEE Transactions on software Engineering 18 (5), 423, 1992 | 651 | 1992 |
| A survey of open source tools for machine learning with big data in the Hadoop ecosystem S Landset, TM Khoshgoftaar, AN Richter, T Hasanin Journal of Big Data 2, 1-36, 2015 | 622 | 2015 |
| Survey on categorical data for neural networks JT Hancock, TM Khoshgoftaar Journal of big data 7 (1), 28, 2020 | 611 | 2020 |
| Survey of review spam detection using machine learning techniques M Crawford, TM Khoshgoftaar, JD Prusa, AN Richter, H Al Najada Journal of Big Data 2, 1-24, 2015 | 603 | 2015 |
| Text data augmentation for deep learning C Shorten, TM Khoshgoftaar, B Furht Journal of big Data 8 (1), 101, 2021 | 588 | 2021 |
| An empirical study of learning from imbalanced data using random forest TM Khoshgoftaar, M Golawala, J Van Hulse 19th IEEE international conference on tools with artificial intelligence …, 2007 | 525 | 2007 |
| Big Data: Deep Learning for financial sentiment analysis S Sohangir, D Wang, A Pomeranets, TM Khoshgoftaar Journal of Big Data 5 (1), 1-25, 2018 | 473 | 2018 |
| Intrusion detection and big heterogeneous data: a survey R Zuech, TM Khoshgoftaar, R Wald Journal of Big Data 2, 1-41, 2015 | 455 | 2015 |
| A review of data mining using big data in health informatics M Herland, TM Khoshgoftaar, R Wald Journal of Big data 1, 1-35, 2014 | 451 | 2014 |
| A survey on heterogeneous transfer learning O Day, TM Khoshgoftaar Journal of Big Data 4, 1-42, 2017 | 432 | 2017 |
| RUSBoost: Improving classification performance when training data is skewed C Seiffert, TM Khoshgoftaar, J Van Hulse, A Napolitano 2008 19th international conference on pattern recognition, 1-4, 2008 | 411 | 2008 |
