Relational Knowledge Acquisition. - Lawrence O. Hall; Wyllis Bandler (CAIA, 1985)

New Concepts for Expert Systems Capable of Intelligence in an Imprecise Environment. - Lawrence O. Hall; Wyllis Bandler; Abraham Kandel (IAS, 1986)

Languages for expert system building: a comparison. - Lawrence O. Hall; Abraham Kandel (SIGSMALL, 1986)

On the derivation of memberships for fuzzy sets in expert systems. - Lawrence O. Hall; Sue Szabo; Abraham Kandel (Inf. Sci., 1986)

A Methodological Approach to a Re-Usable fuzzy Expert System. - Lawrence O'Higgins Hall (1986)

On the choice of ply operators for modus ponens generation in fuzzy intelligent systems. - Lawrence O. Hall (Int. J. Approx. Reason., 1988)

On the validation and testing of fuzzy expert systems. - Lawrence O. Hall; Menahem Friedman; Abraham Kandel (IEEE Trans. Syst. Man Cybern., 1988)

A Hybrid Connectionist, Symbolic Learning System. - Lawrence O. Hall; Steve G. Romaniuk (AAAI, 1990)

A Hybrid/Symbolic Connectionist Production System. - Katsuaki Sanou; Steve G. Romaniuk; Lawrence O. Hall (ICTAI, 1992)

Experimental results from parallel backward-chained expert systems. - Lawrence O. Hall (Int. J. Intell. Syst., 1992)

Backpac: A parallel goal-driven reasoning system. - Lawrence O. Hall (Inf. Sci., 1992)

A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. - Lawrence O. Hall; Amine Bensaid; Laurence P. Clarke; Robert P. Velthuizen; Martin L. Silbiger; James C. Bezdek (IEEE Trans. Neural Networks, 1992)

Learning Fuzzy Membership Functions in a Function-Based Object Recognition System. - Kevin S. Woods; Diane J. Cook; Lawrence O. Hall; Louise Stark; Kevin W. Bowyer (Fuzzy Logic in Artificial Intelligence, 1993)

Parallel search using transformation-ordering Lterative-Deepening-A. - Diane J. Cook; Lawrence O. Hall; Willard Thomas (Int. J. Intell. Syst., 1993)

Methods for Combination of Evidence in Function-Based 3-D Object Recognition. - Louise Stark; Lawrence O. Hall; Kevin W. Bowyer (Int. J. Pattern Recognit. Artif. Intell., 1993)

SC-net: A hybrid connectionist, symbolic system. - Steve G. Romaniuk; Lawrence O. Hall (Inf. Sci., 1993)

Divide and Conquer Neural Networks. - Steve G. Romaniuk; Lawrence O. Hall (Neural Networks, 1993)

Knowledge-based classification and tissue labeling of MR images of human brain. - Chunlin Li 002; Dmitry B. Goldgof; Lawrence O. Hall (IEEE Trans. Medical Imaging, 1993)

Genetic Algorithm Guided Clustering. - James C. Bezdek; Srinivas Boggavarapu; Lawrence O. Hall; Amine Bensaid (International Conference on Evolutionary Computation, 1994)

Knowledge based (re-)clustering. - Matthew C. Clark; Lawrence O. Hall; Chunlin Li 002; Dmitry B. Goldgof (ICPR (2), 1994)

Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors. - Matthew C. Clark; Lawrence O. Hall; Dmitry B. Goldgof; Martin L. Silbiger (Fuzzy Logic in Artificial Intelligence, 1995)

Learning Membership Functions in a Function-Based Object Recognition System. - Kevin S. Woods; Diane J. Cook; Lawrence O. Hall; Kevin W. Bowyer; Louise Stark (J. Artif. Intell. Res., 1995)

Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf. - Mingrui Zhang; Lawrence O. Hall; Dmitry B. Goldgof (ICPR, 1996)

Novel approach to feature extraction for MRI segmentation. - Robert Paul Velthuizen; Lawrence O. Hall; Laurence P. Clarke (Image Processing, 1996)

Encoding of Production Rules in a Connectionist Network. - Katsuaki Sanou; Steve G. Romaniuk; Lawrence O. Hall (J. Intell. Fuzzy Syst., 1996)

Partially supervised clustering for image segmentation. - Amine Bensaid; Lawrence O. Hall; James C. Bezdek; Laurence P. Clarke (Pattern Recognit., 1996)

Validity-guided (re)clustering with applications to image segmentation. - Amine Bensaid; Lawrence O. Hall; James C. Bezdek; Laurence P. Clarke; Martin L. Silbiger; John A. Arrington; F. Reed Murtagh (IEEE Trans. Fuzzy Syst., 1996)

Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review]. - Lawrence O. Hall; Richard J. Hathaway (IEEE Trans. Fuzzy Syst., 1996)

Speaker recognition with a self-configuring neural network. - Jie Lei; Lawrence O. Hall (ICNN, 1997)

Confirmation and denial as plausible modes of fuzzy inference. - Lawrence O. Hall (Fuzzy Sets Syst., 1997)

An investigation of mountain method clustering for large data sets. - Robert P. Velthuizen; Lawrence O. Hall; Laurence P. Clarke; Martin L. Silbiger (Pattern Recognit., 1997)

A Qualitative Expert System for Clinical Trial Assignment. - Sanjukta Bhanja; Lynn M. Fletcher-Heath; Lawrence O. Hall; Dmitry B. Goldgof; Jeffrey P. Krischer (FLAIRS, 1998)

Chemical Process Fault Diagnosis Using Kernel Retrofitted Fuzzy Genetic Algorithm Based Learner (FGAL) with a Hidden Markov Model. - Ibrahim Burak Özyurt; Aydin K. Sunol; Lawrence O. Hall (IEA/AIE (Vol. 1), 1998)

Automatic brain tumor segmentation. - Matthew C. Clark; Lawrence O. Hall; Dmitry B. Goldgof; Robert Paul Velthuizen; F. Reed Murtagh; Martin L. Silbiger (Image Processing, 1998)

Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images. - Lynn M. Fletcher-Heath; Lawrence O. Hall; Dmitry B. Goldgof (Image Processing, 1998)

Decision tree learning on very large data sets. - Lawrence O. Hall; Nitesh V. Chawla; Kevin W. Bowyer (SMC, 1998)

Fast fuzzy clustering. - Tai Wai Cheng; Dmitry B. Goldgof; Lawrence O. Hall (Fuzzy Sets Syst., 1998)

Generation of Fuzzy Rules from Decision Trees. - Lawrence O. Hall; Petter Lande (J. Adv. Comput. Intell. Intell. Informatics, 1998)

Automatic Tumor Segmentation Using Knowledge-Based Clustering. - Matthew C. Clark; Lawrence O. Hall; Dmitry B. Goldgof; Robert P. Velthuizen; F. Reed Murtagh; Martin L. Silbiger (IEEE Trans. Medical Imaging, 1998)

Learning Rules from Distributed Data. - Lawrence O. Hall; Nitesh V. Chawla; Kevin W. Bowyer; W. Philip Kegelmeyer (Large-Scale Parallel Data Mining, 1999)

Clustering with a genetically optimized approach. - Lawrence O. Hall; Ibrahim Burak Özyurt; James C. Bezdek (IEEE Trans. Evol. Comput., 1999)

SQFDiag: semi-quantitative model-based fault monitoring and diagnosis via episodic fuzzy rules. - Ibrahim Burak Özyurt; Lawrence O. Hall; Aydin K. Sunol (IEEE Trans. Syst. Man Cybern. Part A, 1999)

Chaining in fuzzy rule-based systems. - Lawrence O. Hall (FUZZ-IEEE, 2000)

Finding Green River in SeaWiFS Satellite Images. - Wensheng Yao; Lawrence O. Hall; Dmitry B. Goldgof; Frank E. Müller-Karger (ICPR, 2000)

A parallel decision tree builder for mining very large visualization datasets. - Kevin W. Bowyer; Lawrence O. Hall; Thomas Moore; Nitesh V. Chawla; W. Philip Kegelmeyer (SMC, 2000)

Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf. - Mingrui Zhang; Lawrence O. Hall; Dmitry B. Goldgof; Frank E. Müller-Karger (Int. J. Pattern Recognit. Artif. Intell., 2000)

Bagging Is a Small-Data-Set Phenomenon. - Nitesh V. Chawla; Thomas E. Moore; Kevin W. Bowyer; Lawrence O. Hall; Clayton Springer; W. Philip Kegelmeyer (CVPR (2), 2001)

Text Extraction from Color Documents - Clustering Approaches in Three and Four Dimensions. - T. Perroud; Karin Sobottka; Horst Bunke; Lawrence O. Hall (ICDAR, 2001)

Creating Ensembles of Classifiers. - Nitesh V. Chawla; Steven Eschrich; Lawrence O. Hall (ICDM, 2001)

Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. - Nitesh V. Chawla; Thomas E. Moore; Kevin W. Bowyer; Lawrence O. Hall; Clayton Springer; W. Philip Kegelmeyer (BIOKDD, 2001)

Data mining from extreme data sets: very large and/or very skewed data sets. - Lawrence O. Hall (SMC, 2001)

Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. - Lynn M. Fletcher-Heath; Lawrence O. Hall; Dmitry B. Goldgof; F. Reed Murtagh (Artif. Intell. Medicine, 2001)

Report of research activities in fuzzy AI and medicine at USF CSE. - Horia-Nicolai L. Teodorescu; Abraham Kandel; Lawrence O. Hall (Artif. Intell. Medicine, 2001)

Reducing Effects of Plagiarism in Programming Classes. - Kevin W. Bowyer; Lawrence O. Hall (J. Inf. Syst. Educ., 2001)

Rule chaining in fuzzy expert systems. - Lawrence O. Hall (IEEE Trans. Fuzzy Syst., 2001)

SMCB goes all electronic. - K. Patipati; Lawrence O. Hall (IEEE Trans. Syst. Man Cybern. Part B, 2001)

A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements. - Yong Zhang 017; Lawrence O. Hall; Dmitry B. Goldgof; Sudeep Sarkar (IEEE Congress on Evolutionary Computation, 2002)

Text classification with enhanced semi-supervised fuzzy clustering. - Girish Keswani; Lawrence O. Hall (FUZZ-IEEE, 2002)

Error-Based Pruning of Decision Trees Grown on Very Large Data Sets Can Work! - Lawrence O. Hall; Richard Collins; Kevin W. Bowyer; Robert E. Banfield (ICTAI, 2002)

Generalization Methods in Bioinformatics. - Steven Eschrich; Nitesh V. Chawla; Lawrence O. Hall (BIOKDD, 2002)

Distributed Pasting of Small Votes. - Nitesh V. Chawla; Lawrence O. Hall; Kevin W. Bowyer; Thomas E. Moore; W. Philip Kegelmeyer (Multiple Classifier Systems, 2002)

SMOTE: Synthetic Minority Over-sampling Technique. - Nitesh V. Chawla; Kevin W. Bowyer; Lawrence O. Hall; W. Philip Kegelmeyer (J. Artif. Intell. Res., 2002)

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. - Mingrui Zhang; Lawrence O. Hall; Dmitry B. Goldgof (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Learning from soft partitions of data: reducing the variance. - Steven Eschrich; Lawrence O. Hall (FUZZ-IEEE, 2003)

Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. - Lawrence O. Hall; Kevin W. Bowyer; Robert E. Banfield; Divya Bhadoria; W. Philip Kegelmeyer; Steven Eschrich (ICDM, 2003)

A New Ensemble Diversity Measure Applied to Thinning Ensembles. - Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (Multiple Classifier Systems, 2003)

SMOTEBoost: Improving Prediction of the Minority Class in Boosting. - Nitesh V. Chawla; Aleksandar Lazarevic; Lawrence O. Hall; Kevin W. Bowyer (PKDD, 2003)

Experiments on the automated selection of patients for clinical trials. - Eugene Fink; Lawrence O. Hall; Dmitry B. Goldgof; Bhavesh D. Goswami; Matthew Boonstra; Jeffrey P. Krischer (SMC, 2003)

Why are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem. - Lawrence O. Hall; Xiaomei Liu; Kevin W. Bowyer; Robert E. Banfield (SMC, 2003)

Learning to recognize plankton. - Tong Luo; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Scott Samson; Andrew Remsen; Thomas Hopkins (SMC, 2003)

Is Error-Based Pruning Redeemable? - Lawrence O. Hall; Kevin W. Bowyer; Robert E. Banfield; Steven Eschrich; Richard Collins (Int. J. Artif. Intell. Tools, 2003)

Distributed learning with bagging-like performance. - Nitesh V. Chawla; Thomas E. Moore; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer; Clayton Springer (Pattern Recognit. Lett., 2003)

Visualizing fuzzy points in parallel coordinates. - Michael R. Berthold; Lawrence O. Hall (IEEE Trans. Fuzzy Syst., 2003)

Fast accurate fuzzy clustering through data reduction. - Steven Eschrich; Jingwei Ke; Lawrence O. Hall; Dmitry B. Goldgof (IEEE Trans. Fuzzy Syst., 2003)

Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials. - Bhavesh D. Goswami; Lawrence O. Hall; Dmitry B. Goldgof; Eugene Fink; Jeffrey P. Krischer (CBMS, 2004)

Scalable clustering: a distributed approach. - Prodip Hore; Lawrence O. Hall (FUZZ-IEEE, 2004)

Fuzzy ant clustering by centroid positioning. - Parag M. Kanade; Lawrence O. Hall (FUZZ-IEEE, 2004)

A Comparison of Ensemble Creation Techniques. - Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; Divya Bhadoria; W. Philip Kegelmeyer; Steven Eschrich (Multiple Classifier Systems, 2004)

Learning a model from spatially disjoint data. - Lawrence O. Hall; Divya Bhadoria; Kevin W. Bowyer (SMC (2), 2004)

Decision trees work better than feed-forward back-prop neural nets for a specific class of problems. - Xiaomei Liu; Kevin W. Bowyer; Lawrence O. Hall (SMC (6), 2004)

Selection of patients for clinical trials: an interactive web-based system. - Eugene Fink; Princeton K. Kokku; Savvas Nikiforou; Lawrence O. Hall; Dmitry B. Goldgof; Jeffrey P. Krischer (Artif. Intell. Medicine, 2004)

Learning Ensembles from Bites: A Scalable and Accurate Approach. - Nitesh V. Chawla; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (J. Mach. Learn. Res., 2004)

Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems". - Xiaomei Liu; Lawrence O. Hall; Kevin W. Bowyer (Neural Comput., 2004)

List of Reviewers. - Lawrence O. Hall (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Recognizing plankton images from the shadow image particle profiling evaluation recorder. - Tong Luo; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Scott Samson; Andrew Remsen; Thomas Hopkins (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Errata to "Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder". - Tong Luo; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Scott Samson; Andrew Remsen; Thomas Hopkins (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Swarm Based Fuzzy Clustering with Partition Validity. - Lawrence O. Hall; Parag M. Kanade (FUZZ-IEEE, 2005)

Scalable Swarm Based Fuzzy Clustering. - Lawrence O. Hall; Parag M. Kanade (GfKl, 2005)

Bit Reduction Support Vector Machine. - Tong Luo; Lawrence O. Hall; Dmitry B. Goldgof; Andrew Remsen (ICDM, 2005)

Ensembles of Classifiers from Spatially Disjoint Data. - Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (Multiple Classifier Systems, 2005)

Sequence tolerant segmentation system of brain MRI. - Yuhua Gu; Lawrence O. Hall; Dmitry B. Goldgof; Parag M. Kanade; F. Reed Murtagh (SMC, 2005)

Ensemble diversity measures and their application to thinning. - Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (Inf. Fusion, 2005)

Active Learning to Recognize Multiple Types of Plankton. - Tong Luo; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Scott Samson; Andrew Remsen; Thomas Hopkins (J. Mach. Learn. Res., 2005)

Kernel Based Fuzzy Ant Clustering with Partition Validity. - Yuhua Gu; Lawrence O. Hall (FUZZ-IEEE, 2006)

Horizon Detection Using Machine Learning Techniques. - Sergiy Fefilatyev; Volha Smarodzinava; Lawrence O. Hall; Dmitry B. Goldgof (ICMLA, 2006)

Mining for Implications in Medical Data. - Cindy L. Bethel; Lawrence O. Hall; Dmitry B. Goldgof (ICPR (1), 2006)

Learning to Predict Salient Regions from Disjoint and Skewed Training Sets. - Larry Shoemaker; Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (ICTAI, 2006)

Predicting Juvenile Diabetes from Clinical Test Results. - Shibendra S. Pobi; Lawrence O. Hall (IJCNN, 2006)

A Cluster Ensemble Framework for Large Data sets. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof (SMC, 2006)

A constrained genetic approach for computing material property of elastic objects. - Yong Zhang 017; Lawrence O. Hall; Dmitry B. Goldgof; Sudeep Sarkar (IEEE Trans. Evol. Comput., 2006)

Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data. - Vidya P. Kamath; Lawrence O. Hall; Timothy Yeatman; Steven Eschrich (BIBE, 2007)

Ensembles of Fuzzy Classifiers. - Juana Canul-Reich; Larry Shoemaker; Lawrence O. Hall (FUZZ-IEEE, 2007)

Single Pass Fuzzy C Means. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof (FUZZ-IEEE, 2007)

Noise-Based Feature Perturbation as a Selection Method for Microarray Data. - Li Chen; Dmitry B. Goldgof; Lawrence O. Hall; Steven Eschrich (ISBRA, 2007)

Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. - Lawrence O. Hall; Robert E. Banfield; Kevin W. Bowyer; W. Philip Kegelmeyer (MCS, 2007)

Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges. - Sergiy Fefilatyev; Tim V. Ivanovskiy; Lawrence O. Hall; Dmitry B. Goldgof; Shibendra S. Pobi; Halina Greenstien; Amit P. Pathak; Christopher R. Garret (SMC, 2007)

A fuzzy c means variant for clustering evolving data streams. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof (SMC, 2007)

A Comparison of Decision Tree Ensemble Creation Techniques. - Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Fuzzy Ants and Clustering. - Parag M. Kanade; Lawrence O. Hall (IEEE Trans. Syst. Man Cybern. Part A, 2007)

Semi-supervised learning on large complex simulations. - John Nicholas Korecki; Robert E. Banfield; Larry O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (ICPR, 2008)

Detecting and ordering salient regions for efficient browsing. - Larry Shoemaker; Robert E. Banfield; Larry O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (ICPR, 2008)

Feature selection for microarray data by AUC analysis. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; Steven Eschrich (SMC, 2008)

Automatically countering imbalance and its empirical relationship to cost. - Nitesh V. Chawla; David A. Cieslak; Lawrence O. Hall; Ajay Joshi (Data Min. Knowl. Discov., 2008)

Using classifier ensembles to label spatially disjoint data. - Larry Shoemaker; Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (Inf. Fusion, 2008)

Scaling Fuzzy Models. - Lawrence O. Hall; Dmitry B. Goldgof; Juana Canul-Reich; Prodip Hore; Weijian Cheng; Larry Shoemaker (Scalable Fuzzy Algorithms for Data Management and Analysis, 2009)

Ant Clustering Using Ensembles of Partitions. - Yuhua Gu; Lawrence O. Hall; Dmitry B. Goldgof (MCS, 2009)

Automatic Red Tide Detection from MODIS Satellite Images. - Weijian Cheng; Lawrence O. Hall; Dmitry B. Goldgof; Chuanmin Hu; Inia M. Soto (SMC, 2009)

A scalable framework for cluster ensembles. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof (Pattern Recognit., 2009)

Fast Support Vector Machines for Continuous Data. - Kurt Kramer; Lawrence O. Hall; Dmitry B. Goldgof; Andrew Remsen; Tong Luo (IEEE Trans. Syst. Man Cybern. Part B, 2009)

A Scalable Framework For Segmenting Magnetic Resonance Images. - Prodip Hore; Lawrence O. Hall; Dmitry B. Goldgof; Yuhua Gu; Andrew Maudsley; Ammar Darkazanli (J. Signal Process. Syst., 2009)

On convergence properties of the singlepass and online fuzzy c-means algorithm. - Lawrence O. Hall; Dmitry B. Goldgof (FUZZ-IEEE, 2010)

Scalable fuzzy neighborhood DBSCAN. - Jonathon K. Parker; Lawrence O. Hall; Abraham Kandel (FUZZ-IEEE, 2010)

Filtering for improved gene selection on microarray data. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; Steven Eschrich (SMC, 2010)

Evaluating scalable fuzzy clustering. - Yuhua Gu; Lawrence O. Hall; Dmitry B. Goldgof (SMC, 2010)

Increased classification accuracy and speedup through pair-wise feature selection for support vector machines. - Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Andrew Remsen (CIDM, 2011)

Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform. - Sergiy Fefilatyev; Kurt Kramer; Lawrence O. Hall; Dmitry B. Goldgof; Rangachar Kasturi; Andrew Remsen; Kendra Daly (ICDM Workshops, 2011)

Anomaly Detection Using Ensembles. - Larry Shoemaker; Lawrence O. Hall (MCS, 2011)

Toward automated quantification of biological microstructures using unbiased stereology. - Om Pavithra Bonam; Daniel Elozory; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Osvaldo Mangual; Peter R. Mouton (Computer-Aided Diagnosis, 2011)

Automatic location of microscopic focal planes for computerized stereology. - Daniel T. Elozory; Om Pavithra Bonam; Kurt Kramer; Dmitry B. Goldgof; Lawrence O. Hall; Osvaldo Mangual; Peter R. Mouton (Computer-Aided Diagnosis, 2011)

Developing a classifier model for lung tumors in CT-scan images. - Satrajit Basu; Lawrence O. Hall; Dmitry B. Goldgof; Yuhua Gu; Virendra Kumar; Jung Choi; Robert J. Gillies; Robert A. Gatenby (SMC, 2011)

Procedure for stability analysis of gene selection from cross-site gene expression data. - John N. Korecki; Lawrence O. Hall; Dmitry B. Goldgof; Steven Eschrich (SMC, 2011)

Detecting and ordering salient regions. - Larry Shoemaker; Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer (Data Min. Knowl. Discov., 2011)

Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms. - Lawrence O. Hall; Dmitry B. Goldgof (IEEE Trans. Fuzzy Syst., 2011)

A novel algorithm for automated counting of stained cells on thick tissue sections. - Baishali Chaudhury; Kurt Kramer; Daniel Elozory; Gerry Hernandez; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (CBMS, 2012)

Comparison of scalable fuzzy clustering methods. - Jonathon K. Parker; Lawrence O. Hall; James C. Bezdek (FUZZ-IEEE, 2012)

Label-noise reduction with support vector machines. - Sergiy Fefilatyev; Matthew Shreve; Kurt Kramer; Lawrence O. Hall; Dmitry B. Goldgof; Rangachar Kasturi; Kendra Daly; Andrew Remsen; Horst Bunke (ICPR, 2012)

Exploring Big Data with Scalable Soft Clustering. - Lawrence O. Hall (SMPS, 2012)

Iterative Feature perturbation as a gene Selector for microarray Data. - Juana Canul-Reich; Lawrence O. Hall; Dmitry B. Goldgof; John N. Korecki; Steven Eschrich (Int. J. Pattern Recognit. Artif. Intell., 2012)

Fuzzy c-Means Algorithms for Very Large Data. - Timothy C. Havens; James C. Bezdek; Christopher Leckie; Lawrence O. Hall; Marimuthu Palaniswami (IEEE Trans. Fuzzy Syst., 2012)

Objective function-based clustering. - Lawrence O. Hall (WIREs Data Mining Knowl. Discov., 2012)

Dempster-Shafer theory of evidence in Single Pass Fuzzy C Means. - Alireza Chakeri; Iman Nekooeimehr; Lawrence O. Hall (FUZZ-IEEE, 2013)

An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer. - Baishali Chaudhury; Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton; Ardeshir Hakam; Erin M. Siegel (ICIAP (1), 2013)

Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof; Robert J. Gillies; Robert A. Gatenby (Computer-Aided Diagnosis, 2013)

Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography. - Henry Krewer; Benjamin Geiger; Lawrence O. Hall; Dmitry B. Goldgof; Yuhua Gu; Melvyn Tockman; Robert J. Gillies (SMC, 2013)

A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof; Robert A. Gatenby; Robert J. Gillies (SMC, 2013)

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. - 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; et al. (Pattern Recognit., 2013)

Relational data partitioning using evolutionary game theory. - Lawrence O. Hall; Alireza Chakeri (CIDM, 2014)

Dominant Sets as a Framework for Cluster Ensembles: An Evolutionary Game Theory Approach. - Alireza Chakeri; Lawrence O. Hall (ICPR, 2014)

Exploring Brain Tumor Heterogeneity for Survival Time Prediction. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof (ICPR, 2014)

New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis. - Baishali Chaudhury; Lawrence O. Hall; Dmitry B. Goldgof; Robert A. Gatenby; Robert J. Gillies; Jennifer S. Drukteinis (Computer-Aided Diagnosis, 2014)

Prediction of treatment response and metastatic disease in soft tissue sarcoma. - Hamidreza Farhidzadeh; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Meera Raghavan; Robert A. Gatenby (Computer-Aided Diagnosis, 2014)

Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction. - Baishali Chaudhury; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Jennifer S. Drukteinis (SMC, 2014)

Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images. - Hady Ahmady Phoulady; Baishali Chaudhury; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton; Ardeshir Hakam; Erin M. Siegel (SMC, 2014)

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features. - Samuel H. Hawkins; John N. Korecki; Yoganand Balagurunathan; Yuhua Gu; Virendra Kumar; Satrajit Basu; Lawrence O. Hall; Dmitry B. Goldgof; Robert A. Gatenby; Robert J. Gillies (IEEE Access, 2014)

Test-Retest Reproducibility Analysis of Lung CT Image Features. - Yoganand Balagurunathan; Virendra Kumar; Yuhua Gu; Jongphil Kim; Hua Wang; Ying Liu; Dmitry B. Goldgof; Lawrence O. Hall; René Korn; Binsheng Zhao; Lawrence H. Schwartz; Satrajit Basu; et al. (J. Digit. Imaging, 2014)

Accelerating Fuzzy-C Means Using an Estimated Subsample Size. - Jonathon K. Parker; Lawrence O. Hall (IEEE Trans. Fuzzy Syst., 2014)

Large Data Clustering Using Quadratic Programming: A Comprehensive Quantitative Analysis. - Alireza Chakeri; Lawrence O. Hall (ICDM Workshops, 2015)

Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI. - Baishali Chaudhury; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Jennifer S. Drukteinis (Computer-Aided Diagnosis, 2015)

Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats. - Hamidreza Farhidzadeh; Baishali Chaudhury; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Meera Raghavan (Computer-Aided Diagnosis, 2015)

Imbalanced learning for clinical survival group prediction of brain tumor patients. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof; Robert J. Gillies; Robert A. Gatenby (Computer-Aided Diagnosis, 2015)

Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI. - Mu Zhou; Lawrence O. Hall; Dmitry B. Goldgof; Robin Russo; Robert J. Gillies; Robert A. Gatenby (Computer-Aided Diagnosis, 2015)

Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors. - Baishali Chaudhury; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Jennifer S. Drukteinis (SMC, 2015)

Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas. - Hamidreza Farhidzadeh; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Meera Raghavan (SMC, 2015)

A Robust Approach for Automated Lung Segmentation in Thoracic CT. - Hailing Zhou; Dmitry B. Goldgof; Samuel H. Hawkins; Lei Wei 002; Ying Liu; Douglas C. Creighton; Robert J. Gillies; Lawrence O. Hall; Saeid Nahavandi (SMC, 2015)

Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling. - Hady Ahmady Phoulady; Mu Zhou; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (ICIP, 2016)

Spectral sparsification in spectral clustering. - Alireza Chakeri; Hamidreza Farhidzadeh; Lawrence O. Hall (ICPR, 2016)

Exploring deep features from brain tumor magnetic resonance images via transfer learning. - Renhao Liu; Lawrence O. Hall; Dmitry B. Goldgof; Mu Zhou; Robert A. Gatenby; Kaoutar Ben Ahmed (IJCNN, 2016)

A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (ISBI, 2016)

Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats. - Baishali Chaudhury; Mu Zhou; Hamidreza Farhidzadeh; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Robert J. Weinfurtner; Jennifer S. Drukteinis (Computer-Aided Diagnosis, 2016)

Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development. - Hamidreza Farhidzadeh; Baishali Chaudhury; Jacob G. Scott; Dmitry B. Goldgof; Lawrence O. Hall; Robert A. Gatenby; Robert J. Gillies; Meera Raghavan (Computer-Aided Diagnosis, 2016)

Classification of progression free survival with nasopharyngeal carcinoma tumors. - Hamidreza Farhidzadeh; Joo Y. Kim; Jacob G. Scott; Dmitry B. Goldgof; Lawrence O. Hall; Louis B. Harrison (Computer-Aided Diagnosis, 2016)

Change descriptors for determining nodule malignancy in national lung screening trial CT screening images. - Benjamin Geiger; Samuel H. Hawkins; Lawrence O. Hall; Dmitry B. Goldgof; Yoganand Balagurunathan; Robert A. Gatenby; Robert J. Gillies (Computer-Aided Diagnosis, 2016)

Nucleus segmentation in histology images with hierarchical multilevel thresholding. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Digital Pathology, 2016)

Improving malignancy prediction through feature selection informed by nodule size ranges in NLST. - Dmitry Cherezov; Samuel H. Hawkins; Dmitry B. Goldgof; Lawrence O. Hall; Yoganand Balagurunathan; Robert J. Gillies; Matthew B. Schabath (SMC, 2016)

A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs. - Hamidreza Farhidzadeh; Dmitry B. Goldgof; Lawrence O. Hall; Jacob G. Scott; Robert A. Gatenby; Robert J. Gillies; Meera Raghavan (SMC, 2016)

Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. - Rahul Paul; Samuel H. Hawkins; Lawrence O. Hall; Dmitry B. Goldgof; Robert J. Gillies (SMC, 2016)

Active cleaning of label noise. - Ekambaram Rajmadhan; Sergiy Fefilatyev; Matthew Shreve; Kurt Kramer; Lawrence O. Hall; Dmitry B. Goldgof; Rangachar Kasturi (Pattern Recognit., 2016)

Fine-tuning convolutional deep features for MRI based brain tumor classification. - Kaoutar Ben Ahmed; Lawrence O. Hall; Dmitry B. Goldgof; Renhao Liu; Robert A. Gatenby (Computer-Aided Diagnosis, 2017)

Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction. - Renhao Liu; Lawrence O. Hall; Kevin W. Bowyer; Dmitry B. Goldgof; Robert A. Gatenby; Kaoutar Ben Ahmed (SMC, 2017)

Finding label noise examples in large scale datasets. - Ekambaram Rajmadhan; Dmitry B. Goldgof; Lawrence O. Hall (SMC, 2017)

A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images. - Hady Ahmady Phoulady; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Comput. Medical Imaging Graph., 2017)

Active Multitask Learning With Trace Norm Regularization Based on Excess Risk. - Meng Fang; Jie Yin 001; Lawrence O. Hall; Dacheng Tao (IEEE Trans. Cybern., 2017)

Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. - Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Palak Dave; Hady Ahmady Phoulady; Peter R. Mouton (ICMLA, 2018)

Predicting Nodule Malignancy using a CNN Ensemble Approach. - Rahul Paul; Lawrence O. Hall; Dmitry B. Goldgof; Matthew B. Schabath; Robert J. Gillies (IJCNN, 2018)

Representation of Deep Features using Radiologist defined Semantic Features. - Rahul Paul; Ying Liu; Qian Li; Lawrence O. Hall; Dmitry B. Goldgof; Yoganand Balagurunathan; Matthew B. Schabath; Robert J. Gillies (IJCNN, 2018)

Stability of deep features across CT scanners and field of view using a physical phantom. - Rahul Paul; Muhammad Shafiq-ul-Hassan; Eduardo G. Moros; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (Computer-Aided Diagnosis, 2018)

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. - Saeed S. Alahmari; Dmitry Cherezov; Dmitry B. Goldgof; Lawrence O. Hall; Robert J. Gillies; Matthew B. Schabath (IEEE Access, 2018)

Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. - Rahul Paul; Dmitry Cherezov; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (Computer-Aided Diagnosis, 2019)

Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data. - Kaoutar Ben Ahmed; Lawrence O. Hall; Renhao Liu; Robert A. Gatenby; Dmitry B. Goldgof (SMC, 2019)

Automatic Cell Counting using Active Deep Learning and Unbiased Stereology. - Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (SMC, 2019)

Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms. - Renhao Liu; Frederick Mubang; Lawrence O. Hall; Sameera Horawalavithana; Adriana Iamnitchi; John Skvoretz (SMC, 2019)

Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub. - Sameera Horawalavithana; Abhishek Bhattacharjee; Renhao Liu; Nazim Choudhury; Lawrence O. Hall; Adriana Iamnitchi (WI, 2019)

Fuzzy Set Similarity for Feature Selection in Classification. - Valerie Cross; Michael Zmuda; Rahul Paul; Lawrence O. Hall (FUZZ-IEEE, 2020)

Mitigating Adversarial Attacks on Medical Image Understanding Systems. - Rahul Paul; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (ISBI, 2020)

Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models. - Renhao Liu; Frederick Mubang; Lawrence O. Hall (SMC, 2020)

Challenges for the Repeatability of Deep Learning Models. - Saeed S. Alahmari; Dmitry B. Goldgof; Peter R. Mouton; Lawrence O. Hall (IEEE Access, 2020)

Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. - Rahul Paul; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (Comput. Biol. Medicine, 2020)

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset. - Lawrence O. Hall; Rahul Paul; Dmitry B. Goldgof; Gregory M. Goldgof (CoRR, 2020)

Deep radiomics: deep learning on radiomics texture images. - Rahul Paul; Sherzod Kariev; Dmitry Cherezov; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof (Computer-Aided Diagnosis, 2021)

Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. - Kaoutar Ben Ahmed; Gregory M. Goldgof; Rahul Paul; Dmitry B. Goldgof; Lawrence O. Hall (IEEE Access, 2021)

Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders. - Kaoutar Ben Ahmed; Lawrence O. Hall; Dmitry B. Goldgof; Gregory M. Goldgof; Rahul Paul (CoRR, 2021)

Analysis of MRI Biomarkers for Brain Cancer Survival Prediction. - Subhashis Banerjee; Sushmita Mitra; Lawrence O. Hall (CoRR, 2021)

Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. - Frederick Mubang; Lawrence O. Hall (ICMLA, 2022)

Survival time prediction from unannotated lung cancer histopathology images. - Nikolai Fetisov; Lawrence O. Hall; Dmitry B. Goldgof; Matthew B. Schabath (Digital and Computational Pathology, 2022)

Classification of global microglia proliferation based on deep learning with local images. - Hunter Morera; Palak Dave; Yaroslav Kolinko; Kurtis Allen; Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Image Processing, 2022)

Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning. - Kaoutar Ben Ahmed; Lawrence O. Hall; Dmitry B. Goldgof; Ryan Fogarty (IEEE Access, 2022)

Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. - Hunter Morera; Roshan Warman; Azubuogu Anudu; Chukwudumebi Uche; Ivana Radosavljevic; Nikhil Reddy; Ahan Kayastha; Niharika Baviriseaty; Rahul Mhaskar; Andrew A. Borkowski; Patrick Brady; Satish Singh; et al. (Algorithms, 2022)

Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models. - Frederick Mubang; Lawrence O. Hall (CoRR, 2022)

COVID-19 and Pneumonia Xrays. - Kaoutar Ben Ahmed; Gregory M. Goldgof; Rahul Paul; Dmitry B. Goldgof; Lawrence O. Hall (IEEE DataPort, 2022)

Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning. - Nikolai Fetisov; Lawrence O. Hall; Dmitry B. Goldgof; Matthew B. Schabath (CBMS, 2023)

MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting. - Hunter Morera; Palak Dave; Saeed S. Alahmari; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof; Peter R. Mouton (CBMS, 2023)

MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences. - Palak Dave; Yaroslav Kolinko; Hunter Morera; Kurtis Allen; Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Digital and Computational Pathology, 2023)

Using SMOTE-based Data Augmentation for Social Media Time Series Prediction. - Frederick Mubang; Lawrence O. Hall (SMC, 2023)

VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks. - Frederick Mubang; Lawrence O. Hall (IEEE Trans. Comput. Soc. Syst., 2023)

Experimental evaluation of baselines for forecasting social media timeseries. - Kin Wai Ng; Frederick Mubang; Lawrence O. Hall; John Skvoretz; Adriana Iamnitchi (EPJ Data Sci., 2023)

Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Lawrence O. Hall; Dmitry B. Goldgof (CBMS, 2024)

Anonymized Identity Tracking: Privacy Preserving Facial Encoding. - Manas Sanjay Pakalapati; Dmitry B. Goldgof; Lawrence O. Hall; Ghada Zamzmi (CBMS, 2024)

Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA. - Saeed S. Alahmari; Lawrence O. Hall; Peter R. Mouton; Dmitry B. Goldgof (IEEE Access, 2024)

A Preliminary Study on Using Large Language Models in Software Pentesting. - Shashwat Kumar; Francis Hahn; Xinming Ou; Dmitry B. Goldgof; Lawrence O. Hall; Jay Ligatti; S. Raj Rajagopalan; Armin Ziaie Tabari (CoRR, 2024)

Active Prompt Tuning Enables Gpt-40 To Do Efficient Classification Of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof (CoRR, 2024)

Modeling information diffusion in social media: data-driven observations. - Adriana Iamnitchi; Lawrence O. Hall; Sameera Horawalavithana; Frederick Mubang; Kin Wai Ng; John Skvoretz (Frontiers Big Data, 2024)

A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting. - Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (IEEE Trans. Neural Networks Learn. Syst., 2024)

Active Prompt Tuning Enables GPT-4O to do Efficient Classification of Microscopy Images. - Abhiram Kandiyana; Peter R. Mouton; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof (ISBI, 2025)

Reducing Data Requirements for Sequence-Property Prediction in Copolymer Compatibilizers via Deep Neural Network Tuning. - Md Mushfiqul Islam; Nishat N. Labiba; Lawrence O. Hall; David S. Simmons (CoRR, 2025)