Lawrence O. Hall

According to our database, Lawrence O. Hall authored at least 214 papers between 1985 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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

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., December, 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., August, 2023

Using SMOTE-based Data Augmentation for Social Media Time Series Prediction.

Frederick Mubang, Lawrence O. Hall

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning.

Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

COVID-19 and Pneumonia Xrays.

Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall

Dataset, May, 2022

Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models.

Frederick Mubang, Lawrence O. Hall

CoRR, 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, Gerard Mullin, José Lezama, Lawrence O. Hall, Dmitry B. Goldgof, Gitanjali Vidyarthi

Algorithms, 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

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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models.

Frederick Mubang, Lawrence O. Hall

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Analysis of MRI Biomarkers for Brain Cancer Survival Prediction.

Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall

CoRR, 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

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 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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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

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

Challenges for the Repeatability of Deep Learning Models.

Saeed S. Alahmari, Dmitry B. Goldgof, Peter R. Mouton, Lawrence O. Hall

IEEE Access, 2020

Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models.

Renhao Liu, Frederick Mubang, Lawrence O. Hall

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Mitigating Adversarial Attacks on Medical Image Understanding Systems.

Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Fuzzy Set Similarity for Feature Selection in Classification.

Valerie Cross, Michael Zmuda, Rahul Paul, Lawrence O. Hall

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub.

Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, Adriana Iamnitchi

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 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

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Automatic Cell Counting using Active Deep Learning and Unbiased Stereology.

Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 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

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

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

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 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

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Predicting Nodule Malignancy using a CNN Ensemble Approach.

Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

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

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Active Multitask Learning With Trace Norm Regularization Based on Excess Risk.

Meng Fang, Jie Yin, Lawrence O. Hall, Dacheng Tao

IEEE Trans. Cybern., 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

Finding label noise examples in large scale datasets.

Ekambaram Rajmadhan, Dmitry B. Goldgof, Lawrence O. Hall

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

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

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

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Nucleus segmentation in histology images with hierarchical multilevel thresholding.

Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton

Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Spectral sparsification in spectral clustering.

Alireza Chakeri, Hamidreza Farhidzadeh, Lawrence O. Hall

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

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

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A Robust Approach for Automated Lung Segmentation in Thoracic CT.

Hailing Zhou, Dmitry B. Goldgof, Samuel H. Hawkins, Lei Wei, Ying Liu, Douglas C. Creighton, Robert J. Gillies, Lawrence O. Hall, Saeid Nahavandi

Proceedings of the 2015 IEEE International Conference on Systems, 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

Proceedings of the 2015 IEEE International Conference on Systems, 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

Proceedings of the 2015 IEEE International Conference on Systems, 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

Proceedings of the Medical Imaging 2015: 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

Proceedings of the Medical Imaging 2015: 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

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 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

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Large Data Clustering Using Quadratic Programming: A Comprehensive Quantitative Analysis.

Alireza Chakeri, Lawrence O. Hall

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Accelerating Fuzzy-C Means Using an Estimated Subsample Size.

Jonathon K. Parker, Lawrence O. Hall

IEEE Trans. Fuzzy Syst., 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, Steven Eschrich, Robert A. Gatenby, Robert J. Gillies

J. Digit. Imaging, 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

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

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 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

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Exploring Brain Tumor Heterogeneity for Survival Time Prediction.

Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Dominant Sets as a Framework for Cluster Ensembles: An Evolutionary Game Theory Approach.

Alireza Chakeri, Lawrence O. Hall

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Relational data partitioning using evolutionary game theory.

Lawrence O. Hall, Alireza Chakeri

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

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, Jie Tian, Robert A. Gatenby, Robert J. Gillies

Pattern Recognit., 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

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 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

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Dempster-Shafer theory of evidence in Single Pass Fuzzy C Means.

Alireza Chakeri, Iman Nekooeimehr, Lawrence O. Hall

Proceedings of the FUZZ-IEEE 2013, 2013

2012

Objective function-based clustering.

Lawrence O. Hall

WIREs Data Mining Knowl. Discov., 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

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

Exploring Big Data with Scalable Soft Clustering.

Lawrence O. Hall

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 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

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Comparison of scalable fuzzy clustering methods.

Jonathon K. Parker, Lawrence O. Hall, James C. Bezdek

Proceedings of the FUZZ-IEEE 2012, 2012

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

Proceedings of CBMS 2012, 2012

2011

Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms.

Lawrence O. Hall, Dmitry B. Goldgof

IEEE Trans. Fuzzy Syst., 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

Procedure for stability analysis of gene selection from cross-site gene expression data.

John N. Korecki, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 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

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Anomaly Detection Using Ensembles.

Larry Shoemaker, Lawrence O. Hall

Proceedings of the Multiple Classifier Systems - 10th International Workshop, 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

Proceedings of the Data Mining Workshops (ICDMW), 2011

Increased classification accuracy and speedup through pair-wise feature selection for support vector machines.

Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Andrew Remsen

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Evaluating scalable fuzzy clustering.

Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the IEEE International Conference on Systems, 2010

Filtering for improved gene selection on microarray data.

Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich

Proceedings of the IEEE International Conference on Systems, 2010

Scalable fuzzy neighborhood DBSCAN.

Jonathon K. Parker, Lawrence O. Hall, Abraham Kandel

Proceedings of the FUZZ-IEEE 2010, 2010

On convergence properties of the singlepass and online fuzzy c-means algorithm.

Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the FUZZ-IEEE 2010, 2010

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

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 cluster ensembles.

Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof

Pattern Recognit., 2009

Automatic Red Tide Detection from MODIS Satellite Images.

Weijian Cheng, Lawrence O. Hall, Dmitry B. Goldgof, Chuanmin Hu, Inia M. Soto

Proceedings of the IEEE International Conference on Systems, 2009

Ant Clustering Using Ensembles of Partitions.

Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Scaling Fuzzy Models.

Lawrence O. Hall, Dmitry B. Goldgof, Juana Canul-Reich, Prodip Hore, Weijian Cheng, Larry Shoemaker

Proceedings of the Scalable Fuzzy Algorithms for Data Management and Analysis, 2009

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

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

Feature selection for microarray data by AUC analysis.

Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich

Proceedings of the IEEE International Conference on Systems, 2008

Detecting and ordering salient regions for efficient browsing.

Larry Shoemaker, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Semi-supervised learning on large complex simulations.

John Nicholas Korecki, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Fuzzy Ants and Clustering.

Parag M. Kanade, Lawrence O. Hall

IEEE Trans. Syst. Man Cybern. Part A, 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

A fuzzy c means variant for clustering evolving data streams.

Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the IEEE International Conference on Systems, 2007

Boosting Lite - Handling Larger Datasets and Slower Base Classifiers.

Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Noise-Based Feature Perturbation as a Selection Method for Microarray Data.

Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Steven Eschrich

Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Single Pass Fuzzy C Means.

Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the FUZZ-IEEE 2007, 2007

Ensembles of Fuzzy Classifiers.

Juana Canul-Reich, Larry Shoemaker, Lawrence O. Hall

Proceedings of the FUZZ-IEEE 2007, 2007

Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data.

Vidya P. Kamath, Lawrence O. Hall, Timothy Yeatman, Steven Eschrich

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006

A constrained genetic approach for computing material property of elastic objects.

Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar

IEEE Trans. Evol. Comput., 2006

A Cluster Ensemble Framework for Large Data sets.

Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the IEEE International Conference on Systems, 2006

Predicting Juvenile Diabetes from Clinical Test Results.

Shibendra S. Pobi, Lawrence O. Hall

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Mining for Implications in Medical Data.

Cindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Horizon Detection Using Machine Learning Techniques.

Sergiy Fefilatyev, Volha Smarodzinava, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

Kernel Based Fuzzy Ant Clustering with Partition Validity.

Yuhua Gu, Lawrence O. Hall

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

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

Ensemble diversity measures and their application to thinning.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Inf. Fusion, 2005

Sequence tolerant segmentation system of brain MRI.

Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof, Parag M. Kanade, F. Reed Murtagh

Proceedings of the IEEE International Conference on Systems, 2005

Ensembles of Classifiers from Spatially Disjoint Data.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Bit Reduction Support Vector Machine.

Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Scalable Swarm Based Fuzzy Clustering.

Lawrence O. Hall, Parag M. Kanade

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Swarm Based Fuzzy Clustering with Partition Validity.

Lawrence O. Hall, Parag M. Kanade

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

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

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

List of Reviewers.

Lawrence O. Hall

IEEE Trans. Syst. Man Cybern. Part B, 2004

Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems".

Xiaomei Liu, Lawrence O. Hall, Kevin W. Bowyer

Neural Comput., 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

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

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

Proceedings of the IEEE International Conference on Systems, 2004

Learning a model from spatially disjoint data.

Lawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer

Proceedings of the IEEE International Conference on Systems, 2004

A Comparison of Ensemble Creation Techniques.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Fuzzy ant clustering by centroid positioning.

Parag M. Kanade, Lawrence O. Hall

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Scalable clustering: a distributed approach.

Prodip Hore, Lawrence O. Hall

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

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

Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

2003

Fast accurate fuzzy clustering through data reduction.

Steven Eschrich, Jingwei Ke, Lawrence O. Hall, Dmitry B. Goldgof

IEEE Trans. Fuzzy Syst., 2003

Visualizing fuzzy points in parallel coordinates.

Michael R. Berthold, Lawrence O. Hall

IEEE Trans. Fuzzy Syst., 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

Is Error-Based Pruning Redeemable?

Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Steven Eschrich, Richard Collins

Int. J. Artif. Intell. Tools, 2003

Learning to recognize plankton.

Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the IEEE International Conference on Systems, 2003

SMOTEBoost: Improving Prediction of the Minority Class in Boosting.

Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

A New Ensemble Diversity Measure Applied to Thinning Ensembles.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 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

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Learning from soft partitions of data: reducing the variance.

Steven Eschrich, Lawrence O. Hall

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

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

SMOTE: Synthetic Minority Over-sampling Technique.

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer

J. Artif. Intell. Res., 2002

Distributed Pasting of Small Votes.

Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer

Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Generalization Methods in Bioinformatics.

Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall

Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 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

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

Text classification with enhanced semi-supervised fuzzy clustering.

Girish Keswani, Lawrence O. Hall

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements.

Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

SMCB goes all electronic.

K. Patipati, Lawrence O. Hall

IEEE Trans. Syst. Man Cybern. Part B, 2001

Rule chaining in fuzzy expert systems.

Lawrence O. Hall

IEEE Trans. Fuzzy Syst., 2001

Reducing Effects of Plagiarism in Programming Classes.

Kevin W. Bowyer, Lawrence O. Hall

J. Inf. Syst. Educ., 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

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

Data mining from extreme data sets: very large and/or very skewed data sets.

Lawrence O. Hall

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001

Creating Ensembles of Classifiers.

Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Text Extraction from Color Documents - Clustering Approaches in Three and Four Dimensions.

T. Perroud, Karin Sobottka, Horst Bunke, Lawrence O. Hall

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Bagging Is a Small-Data-Set Phenomenon.

Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

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

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

Proceedings of the IEEE International Conference on Systems, 2000

Finding Green River in SeaWiFS Satellite Images.

Wensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Chaining in fuzzy rule-based systems.

Lawrence O. Hall

Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

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

Clustering with a genetically optimized approach.

Lawrence O. Hall, Ibrahim Burak Özyurt, James C. Bezdek

IEEE Trans. Evol. Comput., 1999

Learning Rules from Distributed Data.

Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the Large-Scale Parallel Data Mining, 1999

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

Generation of Fuzzy Rules from Decision Trees.

Lawrence O. Hall, Petter Lande

J. Adv. Comput. Intell. Intell. Informatics, 1998

Fast fuzzy clustering.

Tai Wai Cheng, Dmitry B. Goldgof, Lawrence O. Hall

Fuzzy Sets Syst., 1998

Decision tree learning on very large data sets.

Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images.

Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the Medical Imaging 1998: Image Processing, 1998

Automatic brain tumor segmentation.

Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert Paul Velthuizen, F. Reed Murtagh, Martin L. Silbiger

Proceedings of the Medical Imaging 1998: Image Processing, 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

Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998

A Qualitative Expert System for Clinical Trial Assignment.

Sanjukta Bhanja, Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

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

Confirmation and denial as plausible modes of fuzzy inference.

Lawrence O. Hall

Fuzzy Sets Syst., 1997

Speaker recognition with a self-configuring neural network.

Jie Lei, Lawrence O. Hall

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review].

Lawrence O. Hall, Richard J. Hathaway

IEEE Trans. Fuzzy Syst., 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

Partially supervised clustering for image segmentation.

Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke

Pattern Recognit., 1996

Encoding of Production Rules in a Connectionist Network.

Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall

J. Intell. Fuzzy Syst., 1996

Novel approach to feature extraction for MRI segmentation.

Robert Paul Velthuizen, Lawrence O. Hall, Laurence P. Clarke

Proceedings of the Medical Imaging 1996: Image Processing, 1996

Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf.

Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof

Proceedings of the 13th International Conference on Pattern Recognition, 1996

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

Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors.

Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin L. Silbiger

Proceedings of the Fuzzy Logic in Artificial Intelligence, 1995

1994

Knowledge based (re-)clustering.

Matthew C. Clark, Lawrence O. Hall, Chunlin Li, Dmitry B. Goldgof

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Genetic Algorithm Guided Clustering.

James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993

Knowledge-based classification and tissue labeling of MR images of human brain.

Chunlin Li, Dmitry B. Goldgof, Lawrence O. Hall

IEEE Trans. Medical Imaging, 1993

Divide and Conquer Neural Networks.

Steve G. Romaniuk, Lawrence O. Hall

Neural Networks, 1993

SC-net: A hybrid connectionist, symbolic system.

Steve G. Romaniuk, Lawrence O. Hall

Inf. Sci., 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

Parallel search using transformation-ordering Lterative-Deepening-A.

Diane J. Cook, Lawrence O. Hall, Willard Thomas

Int. J. Intell. Syst., 1993

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

Proceedings of the Fuzzy Logic in Artificial Intelligence, IJCAI '93, Workshop, Chambéry, 1993

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

Backpac: A parallel goal-driven reasoning system.

Lawrence O. Hall

Inf. Sci., 1992

Experimental results from parallel backward-chained expert systems.

Lawrence O. Hall

Int. J. Intell. Syst., 1992

A Hybrid/Symbolic Connectionist Production System.

Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall

Proceedings of the Fourth International Conference on Tools with Artificial Intelligence, 1992

1990

A Hybrid Connectionist, Symbolic Learning System.

Lawrence O. Hall, Steve G. Romaniuk

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1988

On the validation and testing of fuzzy expert systems.

Lawrence O. Hall, Menahem Friedman, Abraham Kandel

IEEE Trans. Syst. Man Cybern., 1988

On the choice of ply operators for modus ponens generation in fuzzy intelligent systems.

Lawrence O. Hall

Int. J. Approx. Reason., 1988

1986

A Methodological Approach to a Re-Usable fuzzy Expert System.

Lawrence O'Higgins Hall

PhD thesis, 1986

On the derivation of memberships for fuzzy sets in expert systems.

Lawrence O. Hall, Sue Szabo, Abraham Kandel

Inf. Sci., 1986

Languages for expert system building: a comparison.

Lawrence O. Hall, Abraham Kandel

Proceedings of the 1986 ACM SIGSMALL/PC symposium on Small systems, 1986

New Concepts for Expert Systems Capable of Intelligence in an Imprecise Environment.

Lawrence O. Hall, Wyllis Bandler, Abraham Kandel

Proceedings of the Intelligent Autonomous Systems, 1986

1985

Relational Knowledge Acquisition.

Lawrence O. Hall, Wyllis Bandler

Proceedings of the Artificial Intelligence Applications, 1985