Taghi M. Khoshgoftaar
Taghi M. Khoshgoftaar
Motorola Endowed Chair Professor, Computer Science, Florida Atlantic University
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Cited by
Cited by
A survey on image data augmentation for deep learning
C Shorten, TM Khoshgoftaar
Journal of big data 6 (1), 1-48, 2019
A survey of collaborative filtering techniques
X Su, TM Khoshgoftaar
Advances in artificial intelligence 2009, 2009
A survey of transfer learning
K Weiss, TM Khoshgoftaar, DD Wang
Journal of Big data 3 (1), 1-40, 2016
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), 1-21, 2015
Survey on deep learning with class imbalance
JM Johnson, TM Khoshgoftaar
Journal of Big Data 6 (1), 1-54, 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
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
The detection of fault-prone programs
JC Munson, TM Khoshgoftaar
IEEE Transactions on software Engineering 18 (5), 423, 1992
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
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), 1-36, 2015
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), 1-24, 2015
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
Intrusion detection and big heterogeneous data: a survey
R Zuech, TM Khoshgoftaar, R Wald
Journal of Big Data 2 (1), 1-41, 2015
A review of data mining using big data in health informatics
M Herland, TM Khoshgoftaar, R Wald
Journal of Big data 1 (1), 1-35, 2014
CatBoost for big data: an interdisciplinary review
JT Hancock, TM Khoshgoftaar
Journal of big data 7 (1), 1-45, 2020
Predicting software development errors using software complexity metrics
TM Khoshgoftaar, JC Munson
IEEE Journal on Selected Areas in Communications 8 (2), 253-261, 1990
Survey on categorical data for neural networks
JT Hancock, TM Khoshgoftaar
Journal of Big Data 7 (1), 1-41, 2020
Choosing software metrics for defect prediction: an investigation on feature selection techniques
K Gao, TM Khoshgoftaar, H Wang, N Seliya
Software: Practice and Experience 41 (5), 579-606, 2011
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
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
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