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Lawrence O. Hall: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Lawrence O. Hall, Steve G. Romaniuk
    A Hybrid Connectionist, Symbolic Learning System. [Citation Graph (0, 0)][DBLP]
    AAAI, 1990, pp:783-788 [Conf]
  2. Lawrence O. Hall, Wyllis Bandler
    Relational Knowledge Acquisition. [Citation Graph (0, 0)][DBLP]
    CAIA, 1985, pp:509-513 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    CBMS, 2004, pp:434-0 [Conf]
  4. Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer
    Bagging Is a Small-Data-Set Phenomenon. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2001, pp:684-689 [Conf]
  5. Sanjukta Bhanja, Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer
    A Qualitative Expert System for Clinical Trial Assignment. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1998, pp:84-88 [Conf]
  6. Lawrence O. Hall, Wyllis Bandler, Abraham Kandel
    New Concepts for Expert Systems Capable of Intelligence in an Imprecise Environment. [Citation Graph (0, 0)][DBLP]
    IAS, 1986, pp:246-250 [Conf]
  7. Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall
    Creating Ensembles of Classifiers. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:580-581 [Conf]
  8. Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich
    Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:533-536 [Conf]
  9. Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen
    Bit Reduction Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:733-736 [Conf]
  10. James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid
    Genetic Algorithm Guided Clustering. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:34-39 [Conf]
  11. Cindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof
    Mining for Implications in Medical Data. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2006, pp:1212-1215 [Conf]
  12. Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins
    Active Learning to Recognize Multiple Types of Plankton. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:478-481 [Conf]
  13. Wensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger
    Finding Green River in SeaWiFS Satellite Images. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2307-2310 [Conf]
  14. 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! [Citation Graph (0, 0)][DBLP]
    ICTAI, 2002, pp:233-238 [Conf]
  15. Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall
    A Hybrid/Symbolic Connectionist Production System. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1992, pp:44-53 [Conf]
  16. 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. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2006, pp:116-126 [Conf]
  17. 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. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 1), 1998, pp:190-199 [Conf]
  18. Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin S. Silbiger
    Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors. [Citation Graph (0, 0)][DBLP]
    Fuzzy Logic in Artificial Intelligence, 1995, pp:167-181 [Conf]
  19. Kevin Woods, Diane J. Cook, Lawrence O. Hall, Louise Stark, Kevin W. Bowyer
    Learning Fuzzy Membership Functions in a Function-Based Object Recognition System. [Citation Graph (0, 0)][DBLP]
    Fuzzy Logic in Artificial Intelligence, 1993, pp:77-96 [Conf]
  20. 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. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2001, pp:50-59 [Conf]
  21. Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall
    Generalization Methods in Bioinformatics. [Citation Graph (0, 0)][DBLP]
    BIOKDD, 2002, pp:25-32 [Conf]
  22. Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer
    Learning Rules from Distributed Data. [Citation Graph (0, 0)][DBLP]
    Large-Scale Parallel Data Mining, 1999, pp:211-220 [Conf]
  23. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich
    A Comparison of Ensemble Creation Techniques. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:223-232 [Conf]
  24. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    A New Ensemble Diversity Measure Applied to Thinning Ensembles. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:306-316 [Conf]
  25. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    Ensembles of Classifiers from Spatially Disjoint Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:196-205 [Conf]
  26. Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer
    Distributed Pasting of Small Votes. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:52-61 [Conf]
  27. Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer
    SMOTEBoost: Improving Prediction of the Minority Class in Boosting. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:107-119 [Conf]
  28. Lawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer
    Learning a model from spatially disjoint data. [Citation Graph (0, 0)][DBLP]
    SMC (2), 2004, pp:1447-1451 [Conf]
  29. 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. [Citation Graph (0, 0)][DBLP]
    SMC (6), 2004, pp:5969-5974 [Conf]
  30. 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. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:31, n:3, pp:241-254 [Journal]
  31. Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, F. Reed Murtagh
    Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:21, n:1-3, pp:43-63 [Journal]
  32. Horia-Nicolai L. Teodorescu, Abraham Kandel, Lawrence O. Hall
    Report of research activities in fuzzy AI and medicine at USF CSE. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:21, n:1-3, pp:177-183 [Journal]
  33. Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Steven Eschrich, Richard Collins
    Is Error-Based Pruning Redeemable? [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2003, v:12, n:3, pp:249-264 [Journal]
  34. Lawrence O. Hall
    On the choice of ply operators for modus ponens generation in fuzzy intelligent systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1988, v:2, n:2, pp:101- [Journal]
  35. Louise Stark, Lawrence O. Hall, Kevin W. Bowyer
    Methods for Combination of Evidence in Function-Based 3-D Object Recognition. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1993, v:7, n:3, pp:573-594 [Journal]
  36. 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. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2000, v:14, n:8, pp:987-1007 [Journal]
  37. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    Ensemble diversity measures and their application to thinning. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2005, v:6, n:1, pp:49-62 [Journal]
  38. Lawrence O. Hall
    Backpac: A parallel goal-driven reasoning system. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1992, v:62, n:1-2, pp:169-182 [Journal]
  39. Lawrence O. Hall, Sue Szabo, Abraham Kandel
    On the derivation of memberships for fuzzy sets in expert systems. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1986, v:40, n:1, pp:39-52 [Journal]
  40. Steve G. Romaniuk, Lawrence O. Hall
    SC-net: A hybrid connectionist, symbolic system. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1993, v:71, n:3, pp:223-268 [Journal]
  41. Lawrence O. Hall, Petter Lande
    Generation of Fuzzy Rules from Decision Trees. [Citation Graph (0, 0)][DBLP]
    JACIII, 1998, v:2, n:4, pp:128-133 [Journal]
  42. Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer
    SMOTE: Synthetic Minority Over-sampling Technique. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2002, v:16, n:, pp:321-357 [Journal]
  43. Kevin Woods, Diane J. Cook, Lawrence O. Hall, Kevin W. Bowyer, Louise Stark
    Learning Membership Functions in a Function-Based Object Recognition System. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:187-222 [Journal]
  44. Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    Learning Ensembles from Bites: A Scalable and Accurate Approach. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:421-451 [Journal]
  45. Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins
    Active Learning to Recognize Multiple Types of Plankton. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:589-613 [Journal]
  46. Xiaomei Liu, Lawrence O. Hall, Kevin W. Bowyer
    Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems". [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:7, pp:1345-1351 [Journal]
  47. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
    A Comparison of Decision Tree Ensemble Creation Techniques. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:1, pp:173-180 [Journal]
  48. Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke
    Partially supervised clustering for image segmentation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:5, pp:859-871 [Journal]
  49. Robert P. Velthuizen, Lawrence O. Hall, Laurence P. Clarke, Martin L. Silbiger
    An investigation of mountain method clustering for large data sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1997, v:30, n:7, pp:1121-1135 [Journal]
  50. Nitesh V. Chawla, Thomas E. Moore, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Clayton Springer
    Distributed learning with bagging-like performance. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:1-3, pp:455-471 [Journal]
  51. Lawrence O. Hall, Ibrahim Burak Özyurt, James C. Bezdek
    Clustering with a genetically optimized approach. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1999, v:3, n:2, pp:103-112 [Journal]
  52. Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar
    A constrained genetic approach for computing material property of elastic objects. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2006, v:10, n:3, pp:341-357 [Journal]
  53. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 1998, v:17, n:2, pp:187-201 [Journal]
  54. Lawrence O. Hall
    List of Reviewers. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:6, pp:2486-2491 [Journal]
  55. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:4, pp:1753-1762 [Journal]
  56. 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". [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:6, pp:2423-2423 [Journal]
  57. Ibrahim Burak Özyurt, Lawrence O. Hall, Aydin K. Sunol
    SQFDiag: semi-quantitative model-based fault monitoring and diagnosis via episodic fuzzy rules. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 1999, v:29, n:3, pp:294-306 [Journal]
  58. K. Patipati, Lawrence O. Hall
    SMCB goes all electronic. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:4, pp:481-481 [Journal]
  59. Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof
    A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:5, pp:571-582 [Journal]
  60. Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer
    Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:161-170 [Conf]
  61. Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Steven Eschrich
    Noise-Based Feature Perturbation as a Selection Method for Microarray Data. [Citation Graph (0, 0)][DBLP]
    ISBRA, 2007, pp:237-247 [Conf]

  62. Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data. [Citation Graph (, )][DBLP]


  63. Single Pass Fuzzy C Means. [Citation Graph (, )][DBLP]


  64. Ensembles of Fuzzy Classifiers. [Citation Graph (, )][DBLP]


  65. Horizon Detection Using Machine Learning Techniques. [Citation Graph (, )][DBLP]


  66. Predicting Juvenile Diabetes from Clinical Test Results. [Citation Graph (, )][DBLP]


  67. Ant Clustering Using Ensembles of Partitions. [Citation Graph (, )][DBLP]


  68. A fuzzy c means variant for clustering evolving data streams. [Citation Graph (, )][DBLP]


  69. Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges. [Citation Graph (, )][DBLP]


  70. Automatic Red Tide Detection from MODIS Satellite Images. [Citation Graph (, )][DBLP]


  71. Scalable Swarm Based Fuzzy Clustering. [Citation Graph (, )][DBLP]


  72. Automatically countering imbalance and its empirical relationship to cost. [Citation Graph (, )][DBLP]


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