L. Shoemaker, R. E. Banfield, L. O Hall, K. W. Bowyer, W. P. Kegelmeyer, Detecting and Ordering Salient Regions, Data Mining and Knowledge Discovery (DOI: 10.1007/s10618- 010- 0194-6), Published online 8/3/2010.

L.O. Hall and D.B. Goldgof , Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms,{\it Fuzzy Systems, IEEE Transactions on }, vol.19, no.4, pp.792-794, Aug. 2011

T.C. Havens, J.C. Bezdek, C. Leckie, L.O. Hall, and M. Palaniswami. Fuzzy c-means algorithms for very large data. IEEE Trans. Fuzzy Systems, vol.20, no.6, pp.1130-1146, Dec. 2012, doi: 10.1109/TFUZZ.2012.2201485.

Kumar V, Gu, Y, Basu, S, Berglund, A, Eschrich, SA, Schabath, MB, Foster, K, Aerts, HJ, Dekker, A, Fenstermacher, D, Goldgof, DB, Hall, LO, Lambin, P, Balagurunathanm, Y, Gatenby, RA, Gillies, RJ. Radiomics: the process and the challenges, Magn Reson Imaging, 30(9), 1234-48, 2012.

Yuhua Gu, Virendra Kumar, Lawrence O. Hall, Dmitry B. Goldgof, Ching-Yen Li, René Korn, Claus Bendtsen, Emmanuel Rios Velazquez, Andre Dekker, Hugo Aerts, Philippe Lambin, Xiuli Li, Jie Tian, Robert A. Gatenby, Robert J. Gillies, Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach, Pattern Recognition, Volume 46, Issue 3, March 2013, Pages 692-702, ISSN 0031-3203, 10.1016/j.patcog.2012.10.005.

(http://www.sciencedirect.com/science/article/pii/S0031320312004384)

Daniel T. Elozory, Kurt A. Kramer, Baishali Chaudhuri, Om P. Bonam,

Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Automatic Section Thickness Determination using An Absolute Gradient Focus Function, 2012 Dec;248(3):245-59. doi: 10.1111/j.1365-2818.2012.03669.

P. Hore, L.O. Hall, D.B. Goldgof, Y. Gu, A.A. Maudsley and A. Darkazanli, A Scalable Framework
For Segmenting Magnetic Resonance Images Journal of Signal Processing Systems, Volume 54, Issue
1 (2009), Page 183-203
K. Kramer, L.O. Hall, D.B. Goldgof and A. Remsen, Fast Support Vector Machines for Continuous
Data, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, V. 39, No. 4, pp.
989-1001, 2009.
P. Hore, L.O. Hall, and D.B. Goldgof, A Scalable Framework For Cluster Ensembles, Pattern
Recognition, 42 (2009), pp. 676-688.
S. Felatyev, L. Chen, T.V. Ivanovskiy, Lawrence O. Hall and Dmitry B. Goldgof, H. Greenstein and
C.R. Garrett, Complications in using automated methods to increase clinical trial accrual Intl. J
Biomedical Engineering and Technology, Vol. 4, No. 2, 2010.
L. Shoemaker, R. E. Baneld, L. O Hall, K. W. Bowyer, W. P. Kegelmeyer, Detecting and Ordering
Salient Regions, Data Mining and Knowledge Discovery (DOI: 10.1007/s10618- 010- 0194-6),
Published online 8/3/2010.
L.O. Hall and D.B. Goldgof , Convergence of the Single-Pass and Online Fuzzy C-Means
Algorithms,Fuzzy Systems, IEEE Transactions on , vol.19, no.4, pp.792-794, Aug. 2011

O. Bonam, D. Elozory, K. Kramer, D. Goldgof, L. Hall, O. Mangual, P. Mouton,"Toward Automated
Quantication of Biological Microstructures Using Unbiased Stereology", Proceedings of SPIE
Medical Imaging Conference, Orlando, FL 2011.
Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Andrew Remsen, Increased Classication Accuracy and Speedup Through Pair-wise Feature Selection for Support Vector Machines, IEEE
SSCI, April, 2011.
Larry Shoemaker and Lawrence O. Hall, Anomaly Detection using Ensembles, Multiple Classier
Systems, June 2011.
John N. Korecki, Lawrence O. Hall, Dmitry Goldgof, Steven Eschrich, Procedure for Stability
Analysis of Gene Selection from Cross-Site Gene Expression Data, IEEE International Conference on
Systems, Man and Cybernetics, Oct. 2011.
Satrajit Basu, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Virendra Kumar, Jung Choi, Robert
J. Gillies, and Robert A. Gatenby, Developing a Classier Model for Lung Tumors in CT-scan
images, IEEE International Conference on Systems, Man and Cybernetics, Oct. 2011.
Sergiy Felatyev, Kurt Kramer, Lawrence Hall, Dmitry Goldgof, Rangachar Kasturi, Andrew
Remsen, Kendra Daly, Detection of Anomalous Particles from Deepwater Horizon Oil Spill Using
SIPPER3 Underwater Imaging Platform, IEEE ICDM Workshop on Data Mining Case Studies,
Honorable Mention Best Paper, Dec. 2011

Parker, J.; Hall, L., "Accelerating Fuzzy C Means using an Estimated Subsample Size," Fuzzy Systems, IEEE Transactions on , To Appear in print, doi: 10.1109/TFUZZ.2013.2286993

Other Professional Activities

IEEE PSPB Committee Member IEEE PSPB SPC Chair

Center

Institute for Artificial Intelligence

Director	Lawrence Hall Sudeep Sarkar
Phone	813-974-3780
Website	https://aix.eng.usf.edu/
Mission	The Institute for Artificial Intelligence + X is a university wide research and education center for Artificial Intelligence. It has a focus on collaboration across disciplines. The goal is to establish a world-class academic research and development (R&D) center at the University of South Florida to conduct externally-funded research in Artificial Intelligence (AI) and associated areas (X = Healthcare, Medicine, Cybersecurity, Finance, Business, Manufacturing, Transportation), using a transdisciplinary approach across Neuroscience, Cognitive Science, and Computer Science, and work with industry to transition them into products that benefit humanity in an ethical and responsible manner.