Lawrence O. Hall

	2009
73		Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof: Ant Clustering Using Ensembles of Partitions. MCS 2009: 283-292
72		Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof: A scalable framework for cluster ensembles. Pattern Recognition 42(5): 676-688 (2009)
71		Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Andrew Maudsley, Ammar Darkazanli: A Scalable Framework For Segmenting Magnetic Resonance Images. Signal Processing Systems 54(1-3): 183-203 (2009)
	2008
70		Nitesh V. Chawla, David A. Cieslak, Lawrence O. Hall, Ajay Joshi: Automatically countering imbalance and its empirical relationship to cost. Data Min. Knowl. Discov. 17(2): 225-252 (2008)
69		Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Using classifier ensembles to label spatially disjoint data. Information Fusion 9(1): 120-133 (2008)
	2007
68		Vidya P. Kamath, Lawrence O. Hall, Timothy J. Yeatman, Steven Eschrich: Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data. BIBE 2007: 1041-1045
67		Juana Canul-Reich, Larry Shoemaker, Lawrence O. Hall: Ensembles of Fuzzy Classifiers. FUZZ-IEEE 2007: 1-6
66		Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof: Single Pass Fuzzy C Means. FUZZ-IEEE 2007: 1-7
65		Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Steven Eschrich: Noise-Based Feature Perturbation as a Selection Method for Microarray Data. ISBRA 2007: 237-247
64		Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer: Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. MCS 2007: 161-170
63		Sergiy Fefilatyev, Tim V. Ivanovskiy, Lawrence O. Hall, Dmitry B. Goldgof, Shibendra S. Pobi, Halina Greenstien, Amit P. Pathak, Christopher R. Garret: Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges. SMC 2007: 1482-1487
62		Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof: A fuzzy c means variant for clustering evolving data streams. SMC 2007: 360-365
61		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: A Comparison of Decision Tree Ensemble Creation Techniques. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 173-180 (2007)
	2006
60		Cindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof: Mining for Implications in Medical Data. ICPR (1) 2006: 1212-1215
59		Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Learning to Predict Salient Regions from Disjoint and Skewed Training Sets. ICTAI 2006: 116-126
58		Shibendra S. Pobi, Lawrence O. Hall: Predicting Juvenile Diabetes from Clinical Test Results. IJCNN 2006: 2159-2165
57		Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar: A constrained genetic approach for computing material property of elastic objects. IEEE Trans. Evolutionary Computation 10(3): 341-357 (2006)
	2005
56		Lawrence O. Hall, Parag Kanade: Scalable Swarm Based Fuzzy Clustering. GfKl 2005: 21-31
55		Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen: Bit Reduction Support Vector Machine. ICDM 2005: 733-736
54		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Ensembles of Classifiers from Spatially Disjoint Data. Multiple Classifier Systems 2005: 196-205
53		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Ensemble diversity measures and their application to thinning. Information Fusion 6(1): 49-62 (2005)
52		Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins: Active Learning to Recognize Multiple Types of Plankton. Journal of Machine Learning Research 6: 589-613 (2005)
	2004
51		Bhavesh D. Goswami, Lawrence O. Hall, Dmitry B. Goldgof, Eugene Fink, Jeffrey P. Krischer: Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials. CBMS 2004: 434-
50		Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins: Active Learning to Recognize Multiple Types of Plankton. ICPR (3) 2004: 478-481
49		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich: A Comparison of Ensemble Creation Techniques. Multiple Classifier Systems 2004: 223-232
48		Lawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer: Learning a model from spatially disjoint data. SMC (2) 2004: 1447-1451
47		Xiaomei Liu, Kevin W. Bowyer, Lawrence O. Hall: Decision trees work better than feed-forward back-prop neural nets for a specific class of problems. SMC (6) 2004: 5969-5974
46		Eugene Fink, Princeton K. Kokku, Savvas Nikiforou, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer: Selection of patients for clinical trials: an interactive web-based system. Artificial Intelligence in Medicine 31(3): 241-254 (2004)
45		Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins: Recognizing plankton images from the shadow image particle profiling evaluation recorder. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1753-1762 (2004)
44		Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins: Errata to "Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder". IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(6): 2423-2423 (2004)
43		Lawrence O. Hall: List of Reviewers. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(6): 2486-2491 (2004)
42		Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Learning Ensembles from Bites: A Scalable and Accurate Approach. Journal of Machine Learning Research 5: 421-451 (2004)
41		Xiaomei Liu, Lawrence O. Hall, Kevin W. Bowyer: Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems". Neural Computation 16(7): 1345-1351 (2004)
	2003
40		Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich: Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. ICDM 2003: 533-536
39		Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: A New Ensemble Diversity Measure Applied to Thinning Ensembles. Multiple Classifier Systems 2003: 306-316
38		Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer: SMOTEBoost: Improving Prediction of the Minority Class in Boosting. PKDD 2003: 107-119
37		Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Steven Eschrich, Richard Collins: Is Error-Based Pruning Redeemable? International Journal on Artificial Intelligence Tools 12(3): 249-264 (2003)
36		Nitesh V. Chawla, Thomas E. Moore, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Clayton Springer: Distributed learning with bagging-like performance. Pattern Recognition Letters 24(1-3): 455-471 (2003)
	2002
35		Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall: Generalization Methods in Bioinformatics. BIOKDD 2002: 25-32
34		Lawrence O. Hall, Richard Collins, Kevin W. Bowyer, Robert E. Banfield: Error-Based Pruning of Decision Trees Grown on Very Large Data Sets Can Work! ICTAI 2002: 233-238
33		Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer: Distributed Pasting of Small Votes. Multiple Classifier Systems 2002: 52-61
32		Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof: A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(5): 571-582 (2002)
31		Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer: SMOTE: Synthetic Minority Over-sampling Technique. J. Artif. Intell. Res. (JAIR) 16: 321-357 (2002)
	2001
30		Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer: Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. BIOKDD 2001: 50-59
29		Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer: Bagging Is a Small-Data-Set Phenomenon. CVPR (2) 2001: 684-689
28		Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall: Creating Ensembles of Classifiers. ICDM 2001: 580-581
27		Horia-Nicolai L. Teodorescu, Abraham Kandel, Lawrence O. Hall: Report of research activities in fuzzy AI and medicine at USF CSE. Artificial Intelligence in Medicine 21(1-3): 177-183 (2001)
26		Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, F. Reed Murtagh: Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. Artificial Intelligence in Medicine 21(1-3): 43-63 (2001)
25		K. Patipati, Lawrence O. Hall: SMCB goes all electronic. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(4): 481-481 (2001)
	2000
24		Wensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger: Finding Green River in SeaWiFS Satellite Images. ICPR 2000: 2307-2310
23		Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger: Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf. IJPRAI 14(8): 987-1007 (2000)
	1999
22		Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer: Learning Rules from Distributed Data. Large-Scale Parallel Data Mining 1999: 211-220
21		Lawrence O. Hall, Ibrahim Burak Özyurt, James C. Bezdek: Clustering with a genetically optimized approach. IEEE Trans. Evolutionary Computation 3(2): 103-112 (1999)
20		Ibrahim Burak Özyurt, Lawrence O. Hall, Aydin K. Sunol: SQFDiag: semi-quantitative model-based fault monitoring and diagnosis via episodic fuzzy rules. IEEE Transactions on Systems, Man, and Cybernetics, Part A 29(3): 294-306 (1999)
	1998
19		Sanjukta Bhanja, Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer: A Qualitative Expert System for Clinical Trial Assignment. FLAIRS Conference 1998: 84-88
18		Ibrahim Burak Özyurt, Aydin K. Sunol, Lawrence O. Hall: Chemical Process Fault Diagnosis Using Kernel Retrofitted Fuzzy Genetic Algorithm Based Learner (FGAL) with a Hidden Markov Model. IEA/AIE (Vol. 1) 1998: 190-199
17		Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert P. Velthuizen, F. Reed Murtagh, Martin S. Silbiger: Automatic Tumor Segmentation Using Knowledge-Based Clustering. IEEE Trans. Med. Imaging 17(2): 187-201 (1998)
16		Lawrence O. Hall, Petter Lande: Generation of Fuzzy Rules from Decision Trees. JACIII 2(4): 128-133 (1998)
	1997
15		Robert P. Velthuizen, Lawrence O. Hall, Laurence P. Clarke, Martin L. Silbiger: An investigation of mountain method clustering for large data sets. Pattern Recognition 30(7): 1121-1135 (1997)
	1996
14		Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke: Partially supervised clustering for image segmentation. Pattern Recognition 29(5): 859-871 (1996)
	1995
13		Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin S. Silbiger: Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors. Fuzzy Logic in Artificial Intelligence 1995: 167-181
12		Kevin Woods, Diane J. Cook, Lawrence O. Hall, Kevin W. Bowyer, Louise Stark: Learning Membership Functions in a Function-Based Object Recognition System. J. Artif. Intell. Res. (JAIR) 3: 187-222 (1995)
	1994
11		James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid: Genetic Algorithm Guided Clustering. International Conference on Evolutionary Computation 1994: 34-39
	1993
10		Kevin Woods, Diane J. Cook, Lawrence O. Hall, Louise Stark, Kevin W. Bowyer: Learning Fuzzy Membership Functions in a Function-Based Object Recognition System. Fuzzy Logic in Artificial Intelligence 1993: 77-96
9		Louise Stark, Lawrence O. Hall, Kevin W. Bowyer: Methods for Combination of Evidence in Function-Based 3-D Object Recognition. IJPRAI 7(3): 573-594 (1993)
8		Steve G. Romaniuk, Lawrence O. Hall: SC-net: A hybrid connectionist, symbolic system. Inf. Sci. 71(3): 223-268 (1993)
	1992
7		Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall: A Hybrid/Symbolic Connectionist Production System. ICTAI 1992: 44-53
6		Lawrence O. Hall: Backpac: A parallel goal-driven reasoning system. Inf. Sci. 62(1-2): 169-182 (1992)
	1990
5		Lawrence O. Hall, Steve G. Romaniuk: A Hybrid Connectionist, Symbolic Learning System. AAAI 1990: 783-788
	1988
4		Lawrence O. Hall: On the choice of ply operators for modus ponens generation in fuzzy intelligent systems. Int. J. Approx. Reasoning 2(2): 101 (1988)
	1986
3		Lawrence O. Hall, Wyllis Bandler, Abraham Kandel: New Concepts for Expert Systems Capable of Intelligence in an Imprecise Environment. IAS 1986: 246-250
2		Lawrence O. Hall, Sue Szabo, Abraham Kandel: On the derivation of memberships for fuzzy sets in expert systems. Inf. Sci. 40(1): 39-52 (1986)
	1985
1		Lawrence O. Hall, Wyllis Bandler: Relational Knowledge Acquisition. CAIA 1985: 509-513

Coauthor Index

1	Wyllis Bandler	[1] [3]
2	Robert E. Banfield	[34] [37] [39] [40] [49] [53] [54] [59] [61] [64] [69]
3	Amine Bensaid	[11] [14]
4	Cindy L. Bethel	[60]
5	James C. Bezdek	[11] [14] [21]
6	Divya Bhadoria	[40] [48] [49]
7	Sanjukta Bhanja	[19]
8	Srinivas Boggavarapu	[11]
9	Kevin W. Bowyer	[9] [10] [12] [22] [29] [30] [31] [33] [34] [36] [37] [38] [39] [40] [41] [42] [47] [48] [49] [53] [54] [59] [61] [64] [69]
10	Juana Canul-Reich	[67]
11	Nitesh V. Chawla	[22] [28] [29] [30] [31] [33] [35] [36] [38] [42] [70]
12	Li Chen	[65]
13	David A. Cieslak	[70]
14	Matthew C. Clark	[13] [17]
15	Laurence P. Clarke	[14] [15]
16	Richard Collins	[34] [37]
17	Diane J. Cook	[10] [12]
18	Ammar Darkazanli	[71]
19	Steven Eschrich	[28] [35] [37] [40] [49] [65] [68]
20	Sergiy Fefilatyev	[63]
21	Eugene Fink	[46] [51]
22	Lynn M. Fletcher-Heath	[19] [26]
23	Christopher R. Garret	[63]
24	Dmitry B. Goldgof	[13] [17] [19] [23] [24] [26] [32] [44] [45] [46] [50] [51] [52] [55] [57] [60] [62] [63] [65] [66] [71] [72] [73]
25	Bhavesh D. Goswami	[51]
26	Halina Greenstien	[63]
27	Yuhua Gu	[71] [73]
28	Thomas Hopkins	[44] [45] [50] [52]
29	Prodip Hore	[62] [66] [71] [72]
30	Tim V. Ivanovskiy	[63]
31	Ajay Joshi	[70]
32	Vidya P. Kamath	[68]
33	Parag Kanade	[56]
34	Abraham Kandel	[2] [3] [27]
35	W. Philip Kegelmeyer	[22] [29] [30] [31] [33] [36] [39] [40] [42] [49] [53] [54] [59] [61] [64] [69]
36	Princeton K. Kokku	[46]
37	Kurt Kramer	[44] [45] [50] [52]
38	Jeffrey P. Krischer	[19] [46] [51]
39	Petter Lande	[16]
40	Aleksandar Lazarevic	[38]
41	Xiaomei Liu	[41] [47]
42	Tong Luo	[44] [45] [50] [52] [55]
43	Andrew Maudsley	[71]
44	Thomas E. Moore	[29] [30] [33] [36]
45	Frank E. Müller-Karger	[23] [24]
46	F. Reed Murtagh	[17] [26]
47	Savvas Nikiforou	[46]
48	Ibrahim Burak Özyurt	[18] [20] [21]
49	Amit P. Pathak	[63]
50	K. Patipati	[25]
51	Shibendra S. Pobi	[58] [63]
52	Andrew Remsen	[44] [45] [50] [52] [55]
53	Steve G. Romaniuk	[5] [7] [8]
54	Scott Samson	[44] [45] [50] [52]
55	Katsuaki Sanou	[7]
56	Sudeep Sarkar	[57]
57	Larry Shoemaker	[59] [67] [69]
58	Martin L. Silbiger	[15]
59	Martin S. Silbiger	[13] [17]
60	Clayton Springer	[29] [30] [36]
61	Louise Stark	[9] [10] [12]
62	Aydin K. Sunol	[18] [20]
63	Sue Szabo	[2]
64	Horia-Nicolai L. Teodorescu	[27]
65	Robert P. Velthuizen	[15] [17]
66	Kevin Woods	[10] [12]
67	Wensheng Yao	[24]
68	Timothy J. Yeatman	[68]
69	Mingrui Zhang	[23] [32]
70	Yong Zhang	[57]

Colors in the list of coauthors