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Lawrence Hall
Lawrence Hall
Professor of Computer Science and Engineering, University of South Florida
Verified email at 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
329182002
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
23302012
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
22222003
Review of MR image segmentation techniques using pattern recognition.
JC Bezdek, LO Hall, LP Clarke
Medical physics 20 (4), 1033-1048, 1993
15431993
MRI segmentation: methods and applications
LP Clarke, RP Velthuizen, MA Camacho, JJ Heine, M Vaidyanathan, ...
Magnetic resonance imaging 13 (3), 343-368, 1995
11151995
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
8261992
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
7311998
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
6332006
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
6171996
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
5992012
Clustering with a genetically optimized approach
LO Hall, IB Ozyurt, JC Bezdek
IEEE Transactions on evolutionary Computation 3 (2), 103-112, 1999
5981999
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
4102001
Partially supervised clustering for image segmentation
AM Bensaid, LO Hall, JC Bezdek, LP Clarke
Pattern recognition 29 (5), 859-871, 1996
4021996
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
3972018
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
3512014
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
3392005
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
3252008
Finding covid-19 from chest x-rays using deep learning on a small dataset
LO Hall, R Paul, DB Goldgof, GM Goldgof
arXiv preprint arXiv:2004.02060, 2020
3172020
Predicting malignant nodules from screening CT scans
S Hawkins, H Wang, Y Liu, A Garcia, O Stringfield, H Krewer, Q Li, ...
Journal of Thoracic Oncology 11 (12), 2120-2128, 2016
3172016
Ensemble diversity measures and their application to thinning
RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer
Information Fusion 6 (1), 49-62, 2005
3112005
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Articles 1–20