- A Cluster Ensemble Framework for Large Data sets Prodip Hore, Lawrence Hall, Fellow, IEEE, and Dmitry Goldgof, Member, IEEE
- Noise-based Feature Perturbation as a Selection Method for Microarray Data
- Ensembles of Fuzzy Classifiers Juana Canul-Reich, Larry Shoemaker and Lawrence O. Hall
- Lawrence O'Higgins Hall Curriculum Vitae
- A Comparison of Decision Tree Ensemble Creation Robert E. Banfield and
- A Scalable Framework For Segmenting Magnetic Resonance Images
- Online Fuzzy C Means P. Hore L.O. Hall D.B. Goldgof W. Cheng
- Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging
- Fast Accurate Fuzzy Clustering through Data Steven Eschrich, Jingwei Ke, Lawrence O. Hall and Dmitry B. Goldgof
- Automatic Segmentation of Non-enhancing Brain Tumors in Magnetic Resonance Images
- Sequence Tolerant Segmentation System of Brain MRI Yuhua Gu, Lawrence O. Hall, Dmitry Goldgof, Parag M. Kanade, F. Reed Murtagh1
- Automatic Tumor Segmentation Using Knowledge-Based Techniques Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert Velthuizen,1
- Unsupervised Brain Tumor Segmentation Using Knowledge-Based and Fuzzy Techniques
- Fast Fuzzy Clustering Tai Wai Cheng, Dmitry B. Goldgof, and Lawrence O. Hall
- Fast Support Vector Machines for Continuous Data Kurt A. Kramer,
- Automatically countering imbalance and its empirical relationship to cost
- Feature Selection for Microarray Data by AUC Juana Canul-Reich, Lawrence O. Hall, Dmitry Goldgof and Steven A. Eschrich
- Semi-Supervised Learning on Large Complex Simulations John N. Korecki, Robert E. Banfield,
- Detecting and Ordering Salient Regions for Efficient Browsing Larry Shoemaker, Robert E. BanfieldLawrence O. Hall
- Fuzzy Ants and Clustering Parag M. Kanade and Lawrence O. Hall
- Creating Streaming Iterative Soft Clustering Prodip Hore, Lawrence O. Hall, and Dmitry B. Goldgof
- Boosting Lite -Handling Larger Datasets and Slower Base Classifiers Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer1
- Single Pass Fuzzy C Means Prodip Hore, Lawrence O. Hall, and Dmitry B. Goldgof
- Learning to Predict Salient Regions from Disjoint and Skewed Training Sets Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall
- IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 10, NO. 3, JUNE 2006 341 A Constrained Genetic Approach for Computing
- Pattern Recognition 42 (2009) 676 --688 Contents lists available at ScienceDirect
