Lawrence Hall 个人学术档案

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	总计	2019 年至今
引用	54669	31507
h 指数	65	43
i10 指数	222	110

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Dmitry GoldgofDistinguished Professor of Computer Science and Engineering, University of South Florida在 mail.usf.edu 的电子邮件经过验证
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre Dame在 nd.edu 的电子邮件经过验证
William Philip KegelmeyerSandia National Laboratories在 sandia.gov 的电子邮件经过验证
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame在 nd.edu 的电子邮件经过验证
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer Center在 moffitt.org 的电子邮件经过验证
James C. BezdekUniversity of Melbourne, Computer and Information Systems在 unimelb.edu.au 的电子邮件经过验证
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research Institute在 moffitt.org 的电子邮件经过验证
Steven EschrichMoffitt Cancer Center在 moffitt.org 的电子邮件经过验证
Yoganand (Yoga) BalagurunathanMoffitt Cancer Center在 moffitt.org 的电子邮件经过验证
peter moutonUniversity of South Florida在 disector.com 的电子邮件经过验证
Kurt KramerLarcos Aquaculture在 larcosaqua.com 的电子邮件经过验证
Mu ZhouStanford University; Rutgers University在 stanford.edu 的电子邮件经过验证
Virendra KumarProfessor, Department of NMR, All India Institute of Medical Sciences在 aiims.edu 的电子邮件经过验证
Hady Ahmady PhouladyCalifornia State University, Sacramento在 csus.edu 的电子邮件经过验证
Dmitry CherezovPhD在 usf.edu 的电子邮件经过验证
Andrew RemsenBureau of Ocean Energy Management在 boem.gov 的电子邮件经过验证
Saeed S. AlahmariUniversity of South Florida在 usf.edu 的电子邮件经过验证
Prodip HoreDirector of Machine Learning & AI at American Express在 aexp.com 的电子邮件经过验证
Kaoutar BEN AHMEDFlorida International University在 fiu.edu 的电子邮件经过验证
Hamidreza FarhidzadehPhD in Computer Science and Engineering在 mail.usf.edu 的电子邮件经过验证

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Lawrence Hall

Professor of Computer Science and Engineering, University of South Florida

在 mail.usf.edu 的电子邮件经过验证

artificial intelligence pattern recognition data mining fuzzy sets


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
SMOTE: synthetic minority over-sampling technique NV Chawla, KW Bowyer, LO Hall, WP Kegelmeyer Journal of artificial intelligence research 16, 321-357, 2002	30052	2002
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	2196	2012
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	2148	2003
Review of MR image segmentation techniques using pattern recognition. JC Bezdek, LO Hall, LP Clarke Medical physics 20 (4), 1033-1048, 1993	1531	1993
MRI segmentation: methods and applications LP Clarke, RP Velthuizen, MA Camacho, JJ Heine, M Vaidyanathan, ... Magnetic resonance imaging 13 (3), 343-368, 1995	1105	1995
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	820	1992
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	727	1998
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	616	2006
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	609	1996
Clustering with a genetically optimized approach LO Hall, IB Ozyurt, JC Bezdek IEEE Transactions on evolutionary Computation 3 (2), 103-112, 1999	594	1999
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	590	2012
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	404	2001
Partially supervised clustering for image segmentation AM Bensaid, LO Hall, JC Bezdek, LP Clarke Pattern recognition 29 (5), 859-871, 1996	400	1996
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	365	2018
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	342	2014
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	329	2005
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	316	2008
Ensemble diversity measures and their application to thinning RE Banfield, LO Hall, KW Bowyer, WP Kegelmeyer Information Fusion 6 (1), 49-62, 2005	307	2005
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	305	2016
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	302	2020

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