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Lawrence Hall
Lawrence Hall
Professor of Computer Science and Engineering, University of South Florida
Verified email at mail.usf.edu
Title
Cited by
Cited by
Year
SMOTE: synthetic minority over-sampling technique
NV Chawla, KW Bowyer, LO Hall, WP Kegelmeyer
Journal of artificial intelligence research 16, 321-357, 2002
224372002
SMOTEBoost: Improving prediction of the minority class in boosting
NV Chawla, A Lazarevic, LO Hall, KW Bowyer
Knowledge Discovery in Databases: PKDD 2003: 7th European Conference on …, 2003
18962003
Radiomics: the process and the challenges
V Kumar, Y Gu, S Basu, A Berglund, SA Eschrich, MB Schabath, K Forster, ...
Magnetic resonance imaging 30 (9), 1234-1248, 2012
17972012
Review of MR image segmentation techniques using pattern recognition.
JC Bezdek, LO Hall, LP Clarke
Medical physics 20 (4), 1033-1048, 1993
14771993
MRI segmentation: methods and applications
LP Clarke, RP Velthuizen, MA Camacho, JJ Heine, M Vaidyanathan, ...
Magnetic resonance imaging 13 (3), 343-368, 1995
10621995
A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain
LO Hall, AM Bensaid, LP Clarke, RP Velthuizen, MS Silbiger, JC Bezdek
IEEE transactions on neural networks 3 (5), 672-682, 1992
8071992
Automatic tumor segmentation using knowledge-based techniques
MC Clark, LO Hall, DB Goldgof, R Velthuizen, FR Murtagh, MS Silbiger
IEEE transactions on medical imaging 17 (2), 187-201, 1998
6921998
Clustering with a genetically optimized approach
LO Hall, IB Ozyurt, JC Bezdek
IEEE Transactions on evolutionary Computation 3 (2), 103-112, 1999
5931999
Validity-guided (re) clustering with applications to image segmentation
AM Bensaid, LO Hall, JC Bezdek, LP Clarke, ML Silbiger, JA Arrington, ...
IEEE Transactions on fuzzy systems 4 (2), 112-123, 1996
5691996
A comparison of decision tree ensemble creation techniques
RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer
IEEE transactions on pattern analysis and machine intelligence 29 (1), 173-180, 2006
5652006
Fuzzy c-means algorithms for very large data
TC Havens, JC Bezdek, C Leckie, LO Hall, M Palaniswami
IEEE Transactions on Fuzzy Systems 20 (6), 1130-1146, 2012
5372012
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images
LM Fletcher-Heath, LO Hall, DB Goldgof, FR Murtagh
Artificial intelligence in medicine 21 (1-3), 43-63, 2001
3852001
Partially supervised clustering for image segmentation
AM Bensaid, LO Hall, JC Bezdek, LP Clarke
Pattern recognition 29 (5), 859-871, 1996
3831996
Reproducibility and prognosis of quantitative features extracted from CT images
Y Balagurunathan, Y Gu, H Wang, V Kumar, O Grove, S Hawkins, J Kim, ...
Translational oncology 7 (1), 72-87, 2014
3112014
Automatically countering imbalance and its empirical relationship to cost
NV Chawla, DA Cieslak, LO Hall, A Joshi
Data Mining and Knowledge Discovery 17, 225-252, 2008
2972008
Ensemble diversity measures and their application to thinning
RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer
Information Fusion 6 (1), 49-62, 2005
2942005
MRI segmentation using fuzzy clustering techniques
MC Clark, LO Hall, DB Goldgof, LP Clarke, RP Velthuizen, MS Silbiger
IEEE Engineering in Medicine and Biology Magazine 13 (5), 730-742, 1994
2941994
Active learning to recognize multiple types of plankton.
T Luo, K Kramer, DB Goldgof, LO Hall, S Samson, A Remsen, T Hopkins, ...
Journal of Machine Learning Research 6 (4), 2005
2882005
Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches
M Zhou, J Scott, B Chaudhury, L Hall, D Goldgof, KW Yeom, M Iv, Y Ou, ...
American Journal of Neuroradiology 39 (2), 208-216, 2018
2862018
Fast accurate fuzzy clustering through data reduction
S Eschrich, J Ke, LO Hall, DB Goldgof
IEEE transactions on fuzzy systems 11 (2), 262-270, 2003
2842003
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