Publications
Search

Publications :: Search

Show author

On this page you see the details of the selected author.

    Author information
    First name: Lawrence O.
    Last name: Hall
    DBLP: 52/105
    Rating: (not rated yet)
    Bookmark:

    Below you find the publications which have been written by this author.

    Show item 1 to 100 of 106  
    Select a publication
    Show Title Venue Rating Date
    Conference paper
    Yuhua Gu, Virendra Kumar, Lawrence O. Hall, Dmitry B. Goldgof, Ching-Yen Li, René Korn, Claus Bendtsen, Emmanuel Rios Velazquez, Andre Dekker, Hugo J. W. L. 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 2013, Volume 46 (0) 2013
    Conference paper
    Lawrence O. Hall.
    Objective function-based clustering.
    Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 2012, Volume 2 (0) 2012
    Conference paper
    Jonathon K. Parker, Lawrence O. Hall, James C. Bezdek.
    Comparison of scalable fuzzy clustering methods.
    FUZZ-IEEE 2012, IEEE International Conference on Fuzzy Systems, Brisbane, Australia, June 10-15, 2012, Proceedings. 2012 (0) 2012
    Conference paper
    Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, John N. Korecki, Steven Eschrich.
    Iterative Feature perturbation as a gene Selector for microarray Data.
    IJPRAI 2012, Volume 26 (0) 2012
    Conference paper
    Lawrence O. Hall.
    Exploring Big Data with Scalable Soft Clustering.
    Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Proceedings of the 6th International Conference on Soft Methods in Probability and Statistics, SMPS 2012, Konstanz, Germany, October 4-6, 2012 2013 (0) 2012
    Conference paper
    Sergiy Fefilatyev, Matthew Shreve, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Kendra Daly, Andrew Remsen, Horst Bunke.
    Label-noise reduction with support vector machines.
    Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012 2012 (0) 2012
    Conference paper
    Timothy C. Havens, James C. Bezdek, Christopher Leckie, Lawrence O. Hall, Marimuthu Palaniswami.
    Fuzzy c-Means Algorithms for Very Large Data.
    IEEE T. Fuzzy Systems 2012, Volume 20 (0) 2012
    Journal article
    Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer.
    Detecting and ordering salient regions.
    Data Min. Knowl. Discov. 2011, Volume 22 (0) 2011
    Journal article
    Kevin W. Bowyer, Nitesh V. Chawla, Lawrence O. Hall, W. Philip Kegelmeyer.
    SMOTE: Synthetic Minority Over-sampling Technique
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Andrew Remsen.
    Increased classification accuracy and speedup through pair-wise feature selection for support vector machines.
    Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2011, part of the IEEE Symposium Series on Computational Intelligence 2011, April 11-15, 2011, Paris, France 2011 (0) 2011
    Conference paper
    Lawrence O. Hall, Dmitry B. Goldgof.
    Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms.
    IEEE T. Fuzzy Systems 2011, Volume 19 (0) 2011
    Conference paper
    Larry Shoemaker, Lawrence O. Hall.
    Anomaly Detection Using Ensembles.
    Multiple Classifier Systems - 10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings 2011 (0) 2011
    Conference paper
    John N. Korecki, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich.
    Procedure for stability analysis of gene selection from cross-site gene expression data.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Anchorage, Alaska, USA, October 9-12, 2011 2011 (0) 2011
    Conference paper
    Satrajit Basu, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Virendra Kumar, Jung Choi, Robert J. Gillies, Robert A. Gatenby.
    Developing a classifier model for lung tumors in CT-scan images.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Anchorage, Alaska, USA, October 9-12, 2011 2011 (0) 2011
    Conference paper
    Sergiy Fefilatyev, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Andrew Remsen, Kendra Daly.
    Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform.
    Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011 2011 (0) 2011
    Conference paper
    Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich.
    Filtering for improved gene selection on microarray data.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 10-13 October 2010 2010 (0) 2010
    Conference paper
    Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof.
    Evaluating scalable fuzzy clustering.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 10-13 October 2010 2010 (0) 2010
    Conference paper
    Lawrence O. Hall, Dmitry B. Goldgof.
    On convergence properties of the singlepass and online fuzzy c-means algorithm.
    FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings 2010 (0) 2010
    Conference paper
    Jonathon K. Parker, Lawrence O. Hall, Abraham Kandel.
    Scalable fuzzy neighborhood DBSCAN.
    FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings 2010 (0) 2010
    Conference paper
    Weijian Cheng, Lawrence O. Hall, Dmitry B. Goldgof, Chuanmin Hu, Inia M. Soto.
    Automatic Red Tide Detection from MODIS Satellite Images.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, San Antonio, TX, USA, 11-14 October 2009 2009 (0) 2009
    Journal article
    Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen, Tong Luo.
    Fast Support Vector Machines for Continuous Data.
    IEEE Transactions on Systems, Man, and Cybernetics, Part B 2009, Volume 39 (0) 2009
    Conference paper
    Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof.
    Ant Clustering Using Ensembles of Partitions.
    Multiple Classifier Systems, 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings 2009 (0) 2009
    Conference paper
    Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof.
    A scalable framework for cluster ensembles.
    Pattern Recognition 2009, Volume 42 (0) 2009
    Conference paper
    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 2009, Volume 54 (0) 2009
    Conference paper
    Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich.
    Feature selection for microarray data by AUC analysis.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Singapore, 12-15 October 2008 2008 (0) 2008
    Conference paper
    Nitesh V. Chawla, David A. Cieslak, Lawrence O. Hall, Ajay Joshi.
    Automatically countering imbalance and its empirical relationship to cost.
    Data Min. Knowl. Discov. 2008, Volume 17 (0) 2008
    Conference paper
    Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer.
    Using classifier ensembles to label spatially disjoint data.
    Information Fusion 2008, Volume 9 (0) 2008
    Conference paper
    Vidya P. Kamath, Lawrence O. Hall, Timothy J. Yeatman, Steven Eschrich.
    Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data.
    Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2007, October 14-17, 2007, Harvard Medical School, Boston, MA, USA 2007 (0) 2007
    Conference paper
    Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof.
    Single Pass Fuzzy C Means.
    FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Juana Canul-Reich, Larry Shoemaker, Lawrence O. Hall.
    Ensembles of Fuzzy Classifiers.
    FUZZ-IEEE 2007, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer.
    Boosting Lite - Handling Larger Datasets and Slower Base Classifiers.
    Multiple Classifier Systems, 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof.
    A fuzzy c means variant for clustering evolving data streams.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Montréal, Canada, 7-10 October 2007 2007 (0) 2007
    Conference paper
    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.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Montréal, Canada, 7-10 October 2007 2007 (0) 2007
    Conference paper
    Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Steven Eschrich.
    Noise-Based Feature Perturbation as a Selection Method for Microarray Data.
    Bioinformatics Research and Applications, Third International Symposium, ISBRA 2007, Atlanta, GA, USA, May 7-10, 2007, Proceedings 2007 (0) 2007
    Conference paper
    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. 2007, Volume 29 (0) 2007
    Conference paper
    Sergiy Fefilatyev, Volha Smarodzinava, Lawrence O. Hall, Dmitry B. Goldgof.
    Horizon Detection Using Machine Learning Techniques.
    The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006 2006 (0) 2006
    Conference paper
    Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof.
    A Cluster Ensemble Framework for Large Data sets.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, October 8-11, 2006 2006 (0) 2006
    Conference paper
    Cindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof.
    Mining for Implications in Medical Data.
    18th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, China 2006 (0) 2006
    Conference paper
    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.
    18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 13-15 November 2006, Washington, DC, USA 2006 (0) 2006
    Conference paper
    Shibendra S. Pobi, Lawrence O. Hall.
    Predicting Juvenile Diabetes from Clinical Test Results.
    Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006 2006 (0) 2006
    Conference paper
    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 2006, Volume 10 (0) 2006
    Conference paper
    Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof, Parag M. Kanade, F. Reed Murtagh.
    Sequence tolerant segmentation system of brain MRI.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, Hawaii, USA, October 10-12, 2005 2005 (0) 2005
    Conference paper
    Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen.
    Bit Reduction Support Vector Machine.
    Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA 2005 (0) 2005
    Conference paper
    Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer.
    Ensembles of Classifiers from Spatially Disjoint Data.
    Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings 2005 (0) 2005
    Conference paper
    Lawrence O. Hall, Parag M. Kanade.
    Scalable Swarm Based Fuzzy Clustering.
    From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005 2006 (0) 2005
    Conference paper
    Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer.
    Ensemble diversity measures and their application to thinning.
    Information Fusion 2005, Volume 6 (0) 2005
    Conference paper
    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 2005, Volume 6 (0) 2005
    Conference paper
    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.
    17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 24-25 June 2004, Bethesda, MD, USA 2004 (0) 2004
    Conference paper
    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 (0) 2004
    Conference paper
    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, 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings 2004 (0) 2004
    Conference paper
    Lawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer.
    Learning a model from spatially disjoint data.
    Proceedings of the IEEE International Conference on Systems, Man Cybernetics: The Hague, Netherlands, 10-13 October 2004 2004 (0) 2004
    Conference paper
    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.
    Proceedings of the IEEE International Conference on Systems, Man Cybernetics: The Hague, Netherlands, 10-13 October 2004 2004 (0) 2004
    Conference paper
    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 2004, Volume 31 (0) 2004
    Conference paper
    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 2004, Volume 5 (0) 2004
    Conference paper
    Xiaomei Liu, Lawrence O. Hall, Kevin W. Bowyer.
    Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems".
    Neural Computation 2004, Volume 16 (0) 2004
    Conference paper
    Lawrence O. Hall.
    List of Reviewers.
    IEEE Transactions on Systems, Man, and Cybernetics, Part B 2004, Volume 34 (0) 2004
    Conference paper
    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 2004, Volume 34 (0) 2004
    Conference paper
    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 2004, Volume 34 (0) 2004
    Conference paper
    Eugene Fink, Lawrence O. Hall, Dmitry B. Goldgof, Bhavesh D. Goswami, Matthew Boonstra, Jeffrey P. Krischer.
    Experiments on the automated selection of patients for clinical trials.
    Proceedings of the IEEE International Conference on Systems, Man Cybernetics: Washington, D.C., USA, 5-8 October 2003 2003 (0) 2003
    Conference paper
    Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins.
    Learning to recognize plankton.
    Proceedings of the IEEE International Conference on Systems, Man Cybernetics: Washington, D.C., USA, 5-8 October 2003 2003 (0) 2003
    Conference paper
    Lawrence O. Hall, Xiaomei Liu, Kevin W. Bowyer, Robert E. Banfield.
    Why are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem.
    Proceedings of the IEEE International Conference on Systems, Man Cybernetics: Washington, D.C., USA, 5-8 October 2003 2003 (0) 2003
    Journal article
    Steven Eschrich, Jingwei Ke, Lawrence O. Hall, Dmitry B. Goldgof.
    Fast accurate fuzzy clustering through data reduction.
    IEEE T. Fuzzy Systems 2003, Volume 11 (0) 2003
    Journal article
    Michael R. Berthold, Lawrence O. Hall.
    Visualizing fuzzy points in parallel coordinates.
    IEEE T. Fuzzy Systems 2003, Volume 11 (0) 2003
    Conference paper
    Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich.
    Comparing Pure Parallel Ensemble Creation Techniques Against Bagging.
    Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA 2003 (0) 2003
    Conference paper
    Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer.
    A New Ensemble Diversity Measure Applied to Thinning Ensembles.
    Multiple Classifier Systems, 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings 2003 (0) 2003
    Conference paper
    Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer.
    SMOTEBoost: Improving Prediction of the Minority Class in Boosting.
    Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings 2003 (0) 2003
    Conference paper
    Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Steven Eschrich, Richard Collins.
    Is Error-Based Pruning Redeemable?
    International Journal on Artificial Intelligence Tools 2003, Volume 12 (0) 2003
    Conference paper
    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 2003, Volume 24 (0) 2003
    Conference paper
    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!
    14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 4-6 November 2002, Washington, DC, USA 2002 (0) 2002
    Conference paper
    Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall.
    Generalization Methods in Bioinformatics.
    Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), July 23rd, 2002, Edmonton, Alberta, Canada 2002 (0) 2002
    Conference paper
    Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer.
    Distributed Pasting of Small Votes.
    Multiple Classifier Systems, Third International Workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002, Proceedings 2002 (0) 2002
    Conference paper
    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 2002, Volume 32 (0) 2002
    Conference paper
    Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer.
    SMOTE: Synthetic Minority Over-sampling Technique.
    J. Artif. Intell. Res. (JAIR) 2002, Volume 16 (0) 2002
    Journal article
    Lawrence O. Hall.
    Rule chaining in fuzzy expert systems.
    IEEE T. Fuzzy Systems 2001, Volume 9 (0) 2001
    Conference paper
    Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer.
    Bagging Is a Small-Data-Set Phenomenon.
    2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), with CD-ROM, 8-14 December 2001, Kauai, HI, USA 2001 (0) 2001
    Conference paper
    Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall.
    Creating Ensembles of Classifiers.
    Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November - 2 December 2001, San Jose, California, USA 2001 (0) 2001
    Conference paper
    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 (0) 2001
    Conference paper
    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 2001, Volume 21 (0) 2001
    Conference paper
    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 2001, Volume 21 (0) 2001
    Conference paper
    K. Patipati, Lawrence O. Hall.
    SMCB goes all electronic.
    IEEE Transactions on Systems, Man, and Cybernetics, Part B 2001, Volume 31 (0) 2001
    Conference paper
    Wensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger.
    Finding Green River in SeaWiFS Satellite Images.
    ICPR 2000 (0) 2000
    Conference paper
    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 2000, Volume 14 (0) 2000
    Conference paper
    Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer.
    Learning Rules from Distributed Data.
    Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD, August 15, 1999, San Diego, CA, USA, revised papers 2000 (0) 1999
    Conference paper
    Lawrence O. Hall, Ibrahim Burak Özyurt, James C. Bezdek.
    Clustering with a genetically optimized approach.
    IEEE Trans. Evolutionary Computation 1999, Volume 3 (0) 1999
    Conference paper
    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 1999, Volume 29 (0) 1999
    Conference paper
    Sanjukta Bhanja, Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer.
    A Qualitative Expert System for Clinical Trial Assignment.
    Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, May 18-20, 1998, Sanibel Island, Florida, USA 1998 (0) 1998
    Conference paper
    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.
    Methodology and Tools in Knowledge-Based Systems, 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-98, Castellón, Spain, June 1-4, 1998, Proceedings, Volume I 1998 (0) 1998
    Conference paper
    Lawrence O. Hall, Petter Lande.
    Generation of Fuzzy Rules from Decision Trees.
    JACIII 1998, Volume 2 (0) 1998
    Conference paper
    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 1998, Volume 17 (0) 1998
    Conference paper
    Robert P. Velthuizen, Lawrence O. Hall, Laurence P. Clarke, Martin L. Silbiger.
    An investigation of mountain method clustering for large data sets.
    Pattern Recognition 1997, Volume 30 (0) 1997
    Journal article
    Lawrence O. Hall, Richard J. Hathaway.
    Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review].
    IEEE T. Fuzzy Systems 1996, Volume 4 (0) 1996
    Journal article
    Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke, Martin L. Silbiger, John A. Arrington, F. Reed Murtagh.
    Validity-guided (re)clustering with applications to image segmentation.
    IEEE T. Fuzzy Systems 1996, Volume 4 (0) 1996
    Conference paper
    Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke.
    Partially supervised clustering for image segmentation.
    Pattern Recognition 1996, Volume 29 (0) 1996
    Conference paper
    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, Towards Intelligent Systems, IJCAI'95 Workshop, Montréal, Canada, August 19-21, 1995, Selected Papers 1997 (0) 1995
    Conference paper
    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) 1995, Volume 3 (0) 1995
    Conference paper
    James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid.
    Genetic Algorithm Guided Clustering.
    International Conference on Evolutionary Computation 1994 (0) 1994
    Conference paper
    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, IJCAI '93, Workshop, Chambéry, France, August 28, 1993, Proceedings 1994 (0) 1993
    Conference paper
    Louise Stark, Lawrence O. Hall, Kevin W. Bowyer.
    Methods for Combination of Evidence in Function-Based 3-D Object Recognition.
    IJPRAI 1993, Volume 7 (0) 1993
    Conference paper
    Steve G. Romaniuk, Lawrence O. Hall.
    SC-net: A hybrid connectionist, symbolic system.
    Inf. Sci. 1993, Volume 71 (0) 1993
    Conference paper
    Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall.
    A Hybrid/Symbolic Connectionist Production System.
    ICTAI 1992 (0) 1992
    Show item 1 to 100 of 106  

    Your query returned 106 matches in the database.