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
123152002
Review of MR image segmentation techniques using pattern recognition
JC Bezdek, LO Hall, LP Clarke
MEDICAL PHYSICS-LANCASTER PA- 20, 1033-1033, 1993
13581993
SMOTEBoost: Improving prediction of the minority class in boosting
NV Chawla, A Lazarevic, LO Hall, KW Bowyer
European conference on principles of data mining and knowledge discovery …, 2003
13502003
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
10662012
MRI segmentation: methods and applications
LP Clarke, RP Velthuizen, MA Camacho, JJ Heine, M Vaidyanathan, ...
Magnetic resonance imaging 13 (3), 343-368, 1995
9871995
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
7541992
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
6331998
Clustering with a genetically optimized approach
LO Hall, IB Ozyurt, JC Bezdek
IEEE Transactions on Evolutionary computation 3 (2), 103-112, 1999
5681999
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
5161996
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
4702006
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
4182012
Partially supervised clustering for image segmentation
AM Bensaid, LO Hall, JC Bezdek, LP Clarke
Pattern recognition 29 (5), 859-871, 1996
3601996
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
3312001
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
2741994
Ensemble diversity measures and their application to thinning
RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer
Information Fusion 6 (1), 49-62, 2005
2562005
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
2552003
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 (Apr), 589-613, 2005
2472005
Automatically countering imbalance and its empirical relationship to cost
NV Chawla, DA Cieslak, LO Hall, A Joshi
Data Mining and Knowledge Discovery 17 (2), 225-252, 2008
2462008
Knowledge-based classification and tissue labeling of MR images of human brain
C Li, DB Goldgof, LO Hall
IEEE transactions on Medical Imaging 12 (4), 740-750, 1993
2451993
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
2152014
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