| 2008 |
|---|
| 69 | EE | 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) |
| 68 | EE | 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 |
|---|
| 67 | EE | 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 |
| 66 | EE | Juana Canul-Reich,
Larry Shoemaker,
Lawrence O. Hall:
Ensembles of Fuzzy Classifiers.
FUZZ-IEEE 2007: 1-6 |
| 65 | EE | Propdip Hore,
Lawrence O. Hall,
Dmitry B. Goldgof:
Single Pass Fuzzy C Means.
FUZZ-IEEE 2007: 1-7 |
| 64 | EE | 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 |
| 63 | EE | 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 |
| 62 | EE | 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 |
| 61 | EE | Propdip Hore,
Lawrence O. Hall,
Dmitry B. Goldgof:
A fuzzy c means variant for clustering evolving data streams.
SMC 2007: 360-365 |
| 60 | EE | 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 |
|---|
| 59 | EE | Cindy L. Bethel,
Lawrence O. Hall,
Dmitry B. Goldgof:
Mining for Implications in Medical Data.
ICPR (1) 2006: 1212-1215 |
| 58 | EE | 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 |
| 57 | EE | Shibendra S. Pobi,
Lawrence O. Hall:
Predicting Juvenile Diabetes from Clinical Test Results.
IJCNN 2006: 2159-2165 |
| 56 | EE | 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 |
|---|
| 55 | EE | Tong Luo,
Lawrence O. Hall,
Dmitry B. Goldgof,
Andrew Remsen:
Bit Reduction Support Vector Machine.
ICDM 2005: 733-736 |
| 54 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Lawrence O. Hall,
Divya Bhadoria,
Kevin W. Bowyer:
Learning a model from spatially disjoint data.
SMC (2) 2004: 1447-1451 |
| 47 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Lawrence O. Hall:
List of Reviewers.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(6): 2486-2491 (2004) |
| 42 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Steven Eschrich,
Nitesh V. Chawla,
Lawrence O. Hall:
Generalization Methods in Bioinformatics.
BIOKDD 2002: 25-32 |
| 34 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Wensheng Yao,
Lawrence O. Hall,
Dmitry B. Goldgof,
Frank E. Müller-Karger:
Finding Green River in SeaWiFS Satellite Images.
ICPR 2000: 2307-2310 |
| 23 | EE | 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 | EE | 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 | EE | Lawrence O. Hall,
Petter Lande:
Generation of Fuzzy Rules from Decision Trees.
JACIII 2(4): 128-133 (1998) |
| 1997 |
|---|
| 15 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 |
