Taghi M. Khoshgoftaar
Taghi M. Khoshgoftaar
Motorola Endowed Chair Professor, Computer Science, Florida Atlantic University
Geverifieerd e-mailadres voor fau.edu
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A survey of collaborative filtering techniques
X Su, TM Khoshgoftaar
Advances in artificial intelligence 2009, 2009
39712009
A survey of transfer learning
K Weiss, TM Khoshgoftaar, DD Wang
Journal of Big data 3 (1), 1-40, 2016
16982016
A survey on image data augmentation for deep learning
C Shorten, TM Khoshgoftaar
Journal of Big Data 6 (1), 1-48, 2019
16372019
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
14012015
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
12482009
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
6892007
The detection of fault-prone programs
JC Munson, TM Khoshgoftaar
IEEE Transactions on Software Engineering 18 (5), 423, 1992
6131992
Survey on deep learning with class imbalance
JM Johnson, TM Khoshgoftaar
Journal of Big Data 6 (1), 1-54, 2019
4692019
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
4202015
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
3562007
Predicting software development errors using software complexity metrics
TM Khoshgoftaar, JC Munson
IEEE Journal on Selected Areas in Communications 8 (2), 253-261, 1990
3381990
Intrusion detection and big heterogeneous data: a survey
R Zuech, TM Khoshgoftaar, R Wald
Journal of Big Data 2 (1), 1-41, 2015
3212015
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
3062014
Early quality prediction: A case study in telecommunications
TM Khoshgoftaar, EB Allen, KS Kalaichelvan, N Goel
IEEE Software 13 (1), 65-71, 1996
2751996
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
2712011
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
2662015
Application of neural networks to software quality modeling of a very large telecommunications system
TM Khoshgoftaar, EB Allen, JP Hudepohl, SJ Aud
IEEE Transactions on Neural Networks 8 (4), 902-909, 1997
2631997
Comparing boosting and bagging techniques with noisy and imbalanced data
TM Khoshgoftaar, J Van Hulse, A Napolitano
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010
2622010
Knowledge discovery from imbalanced and noisy data
J Van Hulse, T Khoshgoftaar
Data & Knowledge Engineering 68 (12), 1513-1542, 2009
2282009
Comparative assessment of software quality classification techniques: An empirical case study
TM Khoshgoftaar, N Seliya
Empirical Software Engineering 9 (3), 229-257, 2004
2122004
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Artikelen 1–20