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Lawrence O. Hall Vis

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*2009
72EEYuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof: Ant Clustering Using Ensembles of Partitions. MCS 2009: 283-292
71EEProdip Hore, Lawrence O. Hall, Dmitry B. Goldgof: A scalable framework for cluster ensembles. Pattern Recognition 42(5): 676-688 (2009)
2008
70EENitesh 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)
69EELarry 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
68EEVidya 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
67EEJuana Canul-Reich, Larry Shoemaker, Lawrence O. Hall: Ensembles of Fuzzy Classifiers. FUZZ-IEEE 2007: 1-6
66EEProdip Hore, Lawrence O. Hall, Dmitry B. Goldgof: Single Pass Fuzzy C Means. FUZZ-IEEE 2007: 1-7
65EELi Chen, Dmitry B. Goldgof, Lawrence O. Hall, Steven Eschrich: Noise-Based Feature Perturbation as a Selection Method for Microarray Data. ISBRA 2007: 237-247
64EELawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer: Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. MCS 2007: 161-170
63EESergiy 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
62EEProdip Hore, Lawrence O. Hall, Dmitry B. Goldgof: A fuzzy c means variant for clustering evolving data streams. SMC 2007: 360-365
61EERobert 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
60EECindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof: Mining for Implications in Medical Data. ICPR (1) 2006: 1212-1215
59EELarry 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
58EEShibendra S. Pobi, Lawrence O. Hall: Predicting Juvenile Diabetes from Clinical Test Results. IJCNN 2006: 2159-2165
57EEYong 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
56EELawrence O. Hall, Parag Kanade: Scalable Swarm Based Fuzzy Clustering. GfKl 2005: 21-31
55EETong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen: Bit Reduction Support Vector Machine. ICDM 2005: 733-736
54EERobert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer: Ensembles of Classifiers from Spatially Disjoint Data. Multiple Classifier Systems 2005: 196-205
53EERobert 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)
52EETong 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
51EEBhavesh 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-
50EETong 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
49EERobert 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
48EELawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer: Learning a model from spatially disjoint data. SMC (2) 2004: 1447-1451
47EEXiaomei 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
46EEEugene 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)
45EETong 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)
44EETong 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)
43EELawrence O. Hall: List of Reviewers. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(6): 2486-2491 (2004)
42EENitesh 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)
41EEXiaomei 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
40EELawrence 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
39EERobert 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
38EENitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer: SMOTEBoost: Improving Prediction of the Minority Class in Boosting. PKDD 2003: 107-119
37EELawrence 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)
36EENitesh 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
35EESteven Eschrich, Nitesh V. Chawla, Lawrence O. Hall: Generalization Methods in Bioinformatics. BIOKDD 2002: 25-32
34EELawrence 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
33EENitesh 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)
31EENitesh 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
30EENitesh 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
29EENitesh 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
28EENitesh 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
24EEWensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger: Finding Green River in SeaWiFS Satellite Images. ICPR 2000: 2307-2310
23EEMingrui 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
22EELawrence 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)
16EELawrence O. Hall, Petter Lande: Generation of Fuzzy Rules from Decision Trees. JACIII 2(4): 128-133 (1998)
1997
15EERobert 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
14EEAmine 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)
8EESteve 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
6EELawrence 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
2EELawrence 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

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)