Lawrence O. Hall

225 papers A* 4A 1B 73C 7Misc 1Journal 85Unranked 53

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Active Prompt Tuning Enables GPT-4O to do Efficient Classification of Microscopy Images. ISBI Abhiram Kandiyana, Peter R. Mouton, Yaroslav Kolinko, Lawrence O. Hall, Dmitry B. Goldgof
2025	J	`jnl`	Reducing Data Requirements for Sequence-Property Prediction in Copolymer Compatibilizers via Deep Neural Network Tuning. CoRR Md Mushfiqul Islam, Nishat N. Labiba, Lawrence O. Hall, David S. Simmons
2024	J	`jnl`	A Preliminary Study on Using Large Language Models in Software Pentesting. CoRR Shashwat Kumar, Francis Hahn, Xinming Ou, Dmitry B. Goldgof, Lawrence O. Hall, Jay Ligatti, S. Raj Rajagopalan, Armin Ziaie Tabari
2024	J	`jnl`	A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting. IEEE Trans. Neural Networks Learn. Syst. Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2024	J	`jnl`	Active Prompt Tuning Enables Gpt-40 To Do Efficient Classification Of Microscopy Images. CoRR Abhiram Kandiyana, Peter R. Mouton, Yaroslav Kolinko, Lawrence O. Hall, Dmitry B. Goldgof
2024	B	`conf`	Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images. CBMS Abhiram Kandiyana, Peter R. Mouton, Lawrence O. Hall, Dmitry B. Goldgof
2024	B	`conf`	Anonymized Identity Tracking: Privacy Preserving Facial Encoding. CBMS Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi
2024	J	`jnl`	Modeling information diffusion in social media: data-driven observations. Frontiers Big Data Adriana Iamnitchi, Lawrence O. Hall, Sameera Horawalavithana, Frederick Mubang, Kin Wai Ng, John Skvoretz
2024	J	`jnl`	Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA. IEEE Access Saeed S. Alahmari, Lawrence O. Hall, Peter R. Mouton, Dmitry B. Goldgof
2023	J	`jnl`	Experimental evaluation of baselines for forecasting social media timeseries. EPJ Data Sci. Kin Wai Ng, Frederick Mubang, Lawrence O. Hall, John Skvoretz, Adriana Iamnitchi
2023	—	`conf`	MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences. Digital and Computational Pathology Palak Dave, Yaroslav Kolinko, Hunter Morera, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2023	B	`conf`	MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting. CBMS Hunter Morera, Palak Dave, Saeed S. Alahmari, Yaroslav Kolinko, Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton
2023	B	`conf`	Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning. CBMS Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath
2023	B	`conf`	Using SMOTE-based Data Augmentation for Social Media Time Series Prediction. SMC Frederick Mubang, Lawrence O. Hall
2023	J	`jnl`	VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks. IEEE Trans. Comput. Soc. Syst. Frederick Mubang, Lawrence O. Hall
2022	J	`jnl`	Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning. IEEE Access Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Ryan Fogarty
2022	B	`conf`	Classification of global microglia proliferation based on deep learning with local images. Image Processing Hunter Morera, Palak Dave, Yaroslav Kolinko, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2022	J	`jnl`	Experimental Evaluation of Baselines for Forecasting Social Media Timeseries. CoRR Kin Wai Ng, Frederick Mubang, Lawrence O. Hall, John Skvoretz, Adriana Iamnitchi
2022	J	`jnl`	Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. Algorithms 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
2022	C	`conf`	Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. ICMLA Frederick Mubang, Lawrence O. Hall
2022	J	`jnl`	Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models. CoRR Frederick Mubang, Lawrence O. Hall
2022	—	`conf`	Survival time prediction from unannotated lung cancer histopathology images. Digital and Computational Pathology Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath
2021	J	`jnl`	Analysis of MRI Biomarkers for Brain Cancer Survival Prediction. CoRR Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall
2021	J	`jnl`	Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders. CoRR Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Gregory M. Goldgof, Rahul Paul
2021	—	`conf`	Deep radiomics: deep learning on radiomics texture images. Computer-Aided Diagnosis Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2021	J	`jnl`	Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. IEEE Access Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall
2020	J	`jnl`	Challenges for the Repeatability of Deep Learning Models. IEEE Access Saeed S. Alahmari, Dmitry B. Goldgof, Peter R. Mouton, Lawrence O. Hall
2020	J	`jnl`	Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. Comput. Biol. Medicine Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2020	J	`jnl`	Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset. CoRR Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof
2020	B	`conf`	Fuzzy Set Similarity for Feature Selection in Classification. FUZZ-IEEE Valerie Cross, Michael Zmuda, Rahul Paul, Lawrence O. Hall
2020	—	`conf`	Mitigating Adversarial Attacks on Medical Image Understanding Systems. ISBI Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2020	B	`conf`	Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models. SMC Renhao Liu, Frederick Mubang, Lawrence O. Hall
2019	B	`conf`	Automatic Cell Counting using Active Deep Learning and Unbiased Stereology. SMC Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2019	J	`jnl`	Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop. CoRR Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton
2019	B	`conf`	Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub. WI Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, Adriana Iamnitchi
2019	B	`conf`	Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data. SMC Kaoutar Ben Ahmed, Lawrence O. Hall, Renhao Liu, Robert A. Gatenby, Dmitry B. Goldgof
2019	B	`conf`	Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms. SMC Renhao Liu, Frederick Mubang, Lawrence O. Hall, Sameera Horawalavithana, Adriana Iamnitchi, John Skvoretz
2019	—	`conf`	Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. Computer-Aided Diagnosis Rahul Paul, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2018	J	`jnl`	Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. IEEE Access Saeed S. Alahmari, Dmitry Cherezov, Dmitry B. Goldgof, Lawrence O. Hall, Robert J. Gillies, Matthew B. Schabath
2018	C	`conf`	Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. ICMLA Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton
2018	B	`conf`	Predicting Nodule Malignancy using a CNN Ensemble Approach. IJCNN Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies
2018	B	`conf`	Representation of Deep Features using Radiologist defined Semantic Features. IJCNN Rahul Paul, Ying Liu, Qian Li, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies
2018	—	`conf`	Stability of deep features across CT scanners and field of view using a physical phantom. Computer-Aided Diagnosis Rahul Paul, Muhammad Shafiq-ul-Hassan, Eduardo G. Moros, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof
2017	J	`jnl`	A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images. Comput. Medical Imaging Graph. Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2017	J	`jnl`	Active Multitask Learning With Trace Norm Regularization Based on Excess Risk. IEEE Trans. Cybern. Meng Fang, Jie Yin, Lawrence O. Hall, Dacheng Tao
2017	B	`conf`	Finding label noise examples in large scale datasets. SMC Ekambaram Rajmadhan, Dmitry B. Goldgof, Lawrence O. Hall
2017	—	`conf`	Fine-tuning convolutional deep features for MRI based brain tumor classification. Computer-Aided Diagnosis Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby
2017	B	`conf`	Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction. SMC Renhao Liu, Lawrence O. Hall, Kevin W. Bowyer, Dmitry B. Goldgof, Robert A. Gatenby, Kaoutar Ben Ahmed
2016	—	`conf`	A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images. ISBI Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2016	B	`conf`	A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs. SMC Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Jacob G. Scott, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
2016	J	`jnl`	Active cleaning of label noise. Pattern Recognit. Ekambaram Rajmadhan, Sergiy Fefilatyev, Matthew Shreve, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi
2016	B	`conf`	Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling. ICIP Hady Ahmady Phoulady, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2016	—	`conf`	Change descriptors for determining nodule malignancy in national lung screening trial CT screening images. Computer-Aided Diagnosis Benjamin Geiger, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Robert A. Gatenby, Robert J. Gillies
2016	—	`conf`	Classification of progression free survival with nasopharyngeal carcinoma tumors. Computer-Aided Diagnosis Hamidreza Farhidzadeh, Joo Y. Kim, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Louis B. Harrison
2016	B	`conf`	Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. SMC Rahul Paul, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies
2016	B	`conf`	Exploring deep features from brain tumor magnetic resonance images via transfer learning. IJCNN Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed
2016	B	`conf`	Improving malignancy prediction through feature selection informed by nodule size ranges in NLST. SMC Dmitry Cherezov, Samuel H. Hawkins, Dmitry B. Goldgof, Lawrence O. Hall, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath
2016	—	`conf`	Nucleus segmentation in histology images with hierarchical multilevel thresholding. Digital Pathology Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2016	—	`conf`	Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats. Computer-Aided Diagnosis Baishali Chaudhury, Mu Zhou, Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Robert J. Weinfurtner, Jennifer S. Drukteinis
2016	—	`conf`	Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development. Computer-Aided Diagnosis Hamidreza Farhidzadeh, Baishali Chaudhury, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
2016	B	`conf`	Spectral sparsification in spectral clustering. ICPR Alireza Chakeri, Hamidreza Farhidzadeh, Lawrence O. Hall
2015	B	`conf`	A Robust Approach for Automated Lung Segmentation in Thoracic CT. SMC Hailing Zhou, Dmitry B. Goldgof, Samuel H. Hawkins, Lei Wei, Ying Liu, Douglas C. Creighton, Robert J. Gillies, Lawrence O. Hall, Saeid Nahavandi
2015	B	`conf`	Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors. SMC Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
2015	—	`conf`	Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI. Computer-Aided Diagnosis Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robin Russo, Robert J. Gillies, Robert A. Gatenby
2015	—	`conf`	Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI. Computer-Aided Diagnosis Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
2015	—	`conf`	Imbalanced learning for clinical survival group prediction of brain tumor patients. Computer-Aided Diagnosis Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies, Robert A. Gatenby
2015	—	`conf`	Large Data Clustering Using Quadratic Programming: A Comprehensive Quantitative Analysis. ICDM Workshops Alireza Chakeri, Lawrence O. Hall
2015	—	`conf`	Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats. Computer-Aided Diagnosis Hamidreza Farhidzadeh, Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
2015	B	`conf`	Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas. SMC Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan
2014	J	`jnl`	Accelerating Fuzzy-C Means Using an Estimated Subsample Size. IEEE Trans. Fuzzy Syst. Jonathon K. Parker, Lawrence O. Hall
2014	B	`conf`	Dominant Sets as a Framework for Cluster Ensembles: An Evolutionary Game Theory Approach. ICPR Alireza Chakeri, Lawrence O. Hall
2014	B	`conf`	Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images. SMC Hady Ahmady Phoulady, Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Ardeshir Hakam, Erin M. Siegel
2014	B	`conf`	Exploring Brain Tumor Heterogeneity for Survival Time Prediction. ICPR Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof
2014	—	`conf`	New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis. Computer-Aided Diagnosis Baishali Chaudhury, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
2014	J	`jnl`	Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features. IEEE Access 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
2014	—	`conf`	Prediction of treatment response and metastatic disease in soft tissue sarcoma. Computer-Aided Diagnosis Hamidreza Farhidzadeh, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Meera Raghavan, Robert A. Gatenby
2014	C	`conf`	Relational data partitioning using evolutionary game theory. CIDM Lawrence O. Hall, Alireza Chakeri
2014	J	`jnl`	Test-Retest Reproducibility Analysis of Lung CT Image Features. J. Digit. Imaging 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
2014	B	`conf`	Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction. SMC Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis
2013	B	`conf`	A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients. SMC Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies
2013	—	`conf`	An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer. ICIAP (1) Baishali Chaudhury, Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Ardeshir Hakam, Erin M. Siegel
2013	J	`jnl`	Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. Pattern Recognit. 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
2013	B	`conf`	Dempster-Shafer theory of evidence in Single Pass Fuzzy C Means. FUZZ-IEEE Alireza Chakeri, Iman Nekooeimehr, Lawrence O. Hall
2013	B	`conf`	Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography. SMC Henry Krewer, Benjamin Geiger, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Melvyn Tockman, Robert J. Gillies
2013	—	`conf`	Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement. Computer-Aided Diagnosis Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies, Robert A. Gatenby
2012	B	`conf`	A novel algorithm for automated counting of stained cells on thick tissue sections. CBMS Baishali Chaudhury, Kurt Kramer, Daniel Elozory, Gerry Hernandez, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton
2012	B	`conf`	Comparison of scalable fuzzy clustering methods. FUZZ-IEEE Jonathon K. Parker, Lawrence O. Hall, James C. Bezdek
2012	—	`conf`	Exploring Big Data with Scalable Soft Clustering. SMPS Lawrence O. Hall
2012	J	`jnl`	Fuzzy c-Means Algorithms for Very Large Data. IEEE Trans. Fuzzy Syst. Timothy C. Havens, James C. Bezdek, Christopher Leckie, Lawrence O. Hall, Marimuthu Palaniswami
2012	J	`jnl`	Iterative Feature perturbation as a gene Selector for microarray Data. Int. J. Pattern Recognit. Artif. Intell. Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, John N. Korecki, Steven Eschrich
2012	B	`conf`	Label-noise reduction with support vector machines. ICPR Sergiy Fefilatyev, Matthew Shreve, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Kendra Daly, Andrew Remsen, Horst Bunke
2012	J	`jnl`	Objective function-based clustering. WIREs Data Mining Knowl. Discov. Lawrence O. Hall
2011	—	`conf`	Anomaly Detection Using Ensembles. MCS Larry Shoemaker, Lawrence O. Hall
2011	—	`conf`	Automatic location of microscopic focal planes for computerized stereology. Computer-Aided Diagnosis Daniel T. Elozory, Om Pavithra Bonam, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Osvaldo Mangual, Peter R. Mouton
2011	J	`jnl`	Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms. IEEE Trans. Fuzzy Syst. Lawrence O. Hall, Dmitry B. Goldgof
2011	J	`jnl`	Detecting and ordering salient regions. Data Min. Knowl. Discov. Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2011	—	`conf`	Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform. ICDM Workshops Sergiy Fefilatyev, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Andrew Remsen, Kendra Daly
2011	B	`conf`	Developing a classifier model for lung tumors in CT-scan images. SMC Satrajit Basu, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Virendra Kumar, Jung Choi, Robert J. Gillies, Robert A. Gatenby
2011	C	`conf`	Increased classification accuracy and speedup through pair-wise feature selection for support vector machines. CIDM Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Andrew Remsen
2011	B	`conf`	Procedure for stability analysis of gene selection from cross-site gene expression data. SMC John N. Korecki, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich
2011	J	`jnl`	SMOTE: Synthetic Minority Over-sampling Technique CoRR Kevin W. Bowyer, Nitesh V. Chawla, Lawrence O. Hall, W. Philip Kegelmeyer
2011	—	`conf`	Toward automated quantification of biological microstructures using unbiased stereology. Computer-Aided Diagnosis Om Pavithra Bonam, Daniel Elozory, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Osvaldo Mangual, Peter R. Mouton
2010	B	`conf`	Evaluating scalable fuzzy clustering. SMC Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof
2010	B	`conf`	Filtering for improved gene selection on microarray data. SMC Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich
2010	B	`conf`	On convergence properties of the singlepass and online fuzzy c-means algorithm. FUZZ-IEEE Lawrence O. Hall, Dmitry B. Goldgof
2010	B	`conf`	Scalable fuzzy neighborhood DBSCAN. FUZZ-IEEE Jonathon K. Parker, Lawrence O. Hall, Abraham Kandel
2009	J	`jnl`	A Scalable Framework For Segmenting Magnetic Resonance Images. J. Signal Process. Syst. Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Andrew Maudsley, Ammar Darkazanli
2009	J	`jnl`	A scalable framework for cluster ensembles. Pattern Recognit. Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
2009	—	`conf`	Ant Clustering Using Ensembles of Partitions. MCS Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof
2009	B	`conf`	Automatic Red Tide Detection from MODIS Satellite Images. SMC Weijian Cheng, Lawrence O. Hall, Dmitry B. Goldgof, Chuanmin Hu, Inia M. Soto
2009	J	`jnl`	Fast Support Vector Machines for Continuous Data. IEEE Trans. Syst. Man Cybern. Part B Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen, Tong Luo
2009	—	`ch.`	Scaling Fuzzy Models. Scalable Fuzzy Algorithms for Data Management and Analysis Lawrence O. Hall, Dmitry B. Goldgof, Juana Canul-Reich, Prodip Hore, Weijian Cheng, Larry Shoemaker
2008	J	`jnl`	Automatically countering imbalance and its empirical relationship to cost. Data Min. Knowl. Discov. Nitesh V. Chawla, David A. Cieslak, Lawrence O. Hall, Ajay Joshi
2008	B	`conf`	Feature selection for microarray data by AUC analysis. SMC Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich
2008	J	`jnl`	Using classifier ensembles to label spatially disjoint data. Inf. Fusion Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2007	J	`jnl`	A Comparison of Decision Tree Ensemble Creation Techniques. IEEE Trans. Pattern Anal. Mach. Intell. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2007	B	`conf`	A fuzzy c means variant for clustering evolving data streams. SMC Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
2007	—	`conf`	Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. MCS Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer
2007	B	`conf`	Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges. SMC Sergiy Fefilatyev, Tim V. Ivanovskiy, Lawrence O. Hall, Dmitry B. Goldgof, Shibendra S. Pobi, Halina Greenstien, Amit P. Pathak, Christopher R. Garret
2007	B	`conf`	Ensembles of Fuzzy Classifiers. FUZZ-IEEE Juana Canul-Reich, Larry Shoemaker, Lawrence O. Hall
2007	J	`jnl`	Fuzzy Ants and Clustering. IEEE Trans. Syst. Man Cybern. Part A Parag M. Kanade, Lawrence O. Hall
2007	C	`conf`	Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data. BIBE Vidya P. Kamath, Lawrence O. Hall, Timothy Yeatman, Steven Eschrich
2007	—	`conf`	Noise-Based Feature Perturbation as a Selection Method for Microarray Data. ISBRA Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Steven Eschrich
2007	B	`conf`	Single Pass Fuzzy C Means. FUZZ-IEEE Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
2006	B	`conf`	A Cluster Ensemble Framework for Large Data sets. SMC Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
2006	J	`jnl`	A constrained genetic approach for computing material property of elastic objects. IEEE Trans. Evol. Comput. Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar
2006	C	`conf`	Horizon Detection Using Machine Learning Techniques. ICMLA Sergiy Fefilatyev, Volha Smarodzinava, Lawrence O. Hall, Dmitry B. Goldgof
2006	B	`conf`	Kernel Based Fuzzy Ant Clustering with Partition Validity. FUZZ-IEEE Yuhua Gu, Lawrence O. Hall
2006	B	`conf`	Learning to Predict Salient Regions from Disjoint and Skewed Training Sets. ICTAI Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2006	—	`conf`	Mining for Implications in Medical Data. ICPR (1) Cindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof
2006	B	`conf`	Predicting Juvenile Diabetes from Clinical Test Results. IJCNN Shibendra S. Pobi, Lawrence O. Hall
2005	J	`jnl`	Active Learning to Recognize Multiple Types of Plankton. J. Mach. Learn. Res. Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins
2005	A*	`conf`	Bit Reduction Support Vector Machine. ICDM Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen
2005	J	`jnl`	Ensemble diversity measures and their application to thinning. Inf. Fusion Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2005	—	`conf`	Ensembles of Classifiers from Spatially Disjoint Data. Multiple Classifier Systems Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2005	—	`conf`	Scalable Swarm Based Fuzzy Clustering. GfKl Lawrence O. Hall, Parag M. Kanade
2005	B	`conf`	Sequence tolerant segmentation system of brain MRI. SMC Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof, Parag M. Kanade, F. Reed Murtagh
2005	B	`conf`	Swarm Based Fuzzy Clustering with Partition Validity. FUZZ-IEEE Lawrence O. Hall, Parag M. Kanade
2004	—	`conf`	A Comparison of Ensemble Creation Techniques. Multiple Classifier Systems Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich
2004	—	`conf`	Active Learning to Recognize Multiple Types of Plankton. ICPR (3) Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins
2004	J	`jnl`	Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems". Neural Comput. Xiaomei Liu, Lawrence O. Hall, Kevin W. Bowyer
2004	—	`conf`	Decision trees work better than feed-forward back-prop neural nets for a specific class of problems. SMC (6) Xiaomei Liu, Kevin W. Bowyer, Lawrence O. Hall
2004	J	`jnl`	Errata to "Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder". IEEE Trans. Syst. Man Cybern. Part B Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins
2004	B	`conf`	Fuzzy ant clustering by centroid positioning. FUZZ-IEEE Parag M. Kanade, Lawrence O. Hall
2004	J	`jnl`	Learning Ensembles from Bites: A Scalable and Accurate Approach. J. Mach. Learn. Res. Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2004	—	`conf`	Learning a model from spatially disjoint data. SMC (2) Lawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer
2004	J	`jnl`	List of Reviewers. IEEE Trans. Syst. Man Cybern. Part B Lawrence O. Hall
2004	J	`jnl`	Recognizing plankton images from the shadow image particle profiling evaluation recorder. IEEE Trans. Syst. Man Cybern. Part B Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins
2004	B	`conf`	Scalable clustering: a distributed approach. FUZZ-IEEE Prodip Hore, Lawrence O. Hall
2004	J	`jnl`	Selection of patients for clinical trials: an interactive web-based system. Artif. Intell. Medicine Eugene Fink, Princeton K. Kokku, Savvas Nikiforou, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer
2004	B	`conf`	Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials. CBMS Bhavesh D. Goswami, Lawrence O. Hall, Dmitry B. Goldgof, Eugene Fink, Jeffrey P. Krischer
2003	—	`conf`	A New Ensemble Diversity Measure Applied to Thinning Ensembles. Multiple Classifier Systems Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
2003	A*	`conf`	Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. ICDM Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich
2003	J	`jnl`	Distributed learning with bagging-like performance. Pattern Recognit. Lett. Nitesh V. Chawla, Thomas E. Moore, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer, Clayton Springer
2003	B	`conf`	Experiments on the automated selection of patients for clinical trials. SMC Eugene Fink, Lawrence O. Hall, Dmitry B. Goldgof, Bhavesh D. Goswami, Matthew Boonstra, Jeffrey P. Krischer
2003	J	`jnl`	Fast accurate fuzzy clustering through data reduction. IEEE Trans. Fuzzy Syst. Steven Eschrich, Jingwei Ke, Lawrence O. Hall, Dmitry B. Goldgof
2003	J	`jnl`	Is Error-Based Pruning Redeemable? Int. J. Artif. Intell. Tools Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Steven Eschrich, Richard Collins
2003	B	`conf`	Learning from soft partitions of data: reducing the variance. FUZZ-IEEE Steven Eschrich, Lawrence O. Hall
2003	B	`conf`	Learning to recognize plankton. SMC Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins
2003	—	`conf`	SMOTEBoost: Improving Prediction of the Minority Class in Boosting. PKDD Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer
2003	J	`jnl`	Visualizing fuzzy points in parallel coordinates. IEEE Trans. Fuzzy Syst. Michael R. Berthold, Lawrence O. Hall
2003	B	`conf`	Why are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem. SMC Lawrence O. Hall, Xiaomei Liu, Kevin W. Bowyer, Robert E. Banfield
2002	B	`conf`	A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements. IEEE Congress on Evolutionary Computation Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar
2002	J	`jnl`	A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. IEEE Trans. Syst. Man Cybern. Part B Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof
2002	—	`conf`	Distributed Pasting of Small Votes. Multiple Classifier Systems Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer
2002	B	`conf`	Error-Based Pruning of Decision Trees Grown on Very Large Data Sets Can Work! ICTAI Lawrence O. Hall, Richard Collins, Kevin W. Bowyer, Robert E. Banfield
2002	—	`conf`	Generalization Methods in Bioinformatics. BIOKDD Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall
2002	J	`jnl`	SMOTE: Synthetic Minority Over-sampling Technique. J. Artif. Intell. Res. Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer
2002	B	`conf`	Text classification with enhanced semi-supervised fuzzy clustering. FUZZ-IEEE Girish Keswani, Lawrence O. Hall
2001	J	`jnl`	Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. Artif. Intell. Medicine Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, F. Reed Murtagh
2001	—	`conf`	Bagging Is a Small-Data-Set Phenomenon. CVPR (2) Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer
2001	A*	`conf`	Creating Ensembles of Classifiers. ICDM Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall
2001	B	`conf`	Data mining from extreme data sets: very large and/or very skewed data sets. SMC Lawrence O. Hall
2001	—	`conf`	Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. BIOKDD Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer
2001	J	`jnl`	Reducing Effects of Plagiarism in Programming Classes. J. Inf. Syst. Educ. Kevin W. Bowyer, Lawrence O. Hall
2001	J	`jnl`	Report of research activities in fuzzy AI and medicine at USF CSE. Artif. Intell. Medicine Horia-Nicolai L. Teodorescu, Abraham Kandel, Lawrence O. Hall
2001	J	`jnl`	Rule chaining in fuzzy expert systems. IEEE Trans. Fuzzy Syst. Lawrence O. Hall
2001	J	`jnl`	SMCB goes all electronic. IEEE Trans. Syst. Man Cybern. Part B K. Patipati, Lawrence O. Hall
2001	A	`conf`	Text Extraction from Color Documents - Clustering Approaches in Three and Four Dimensions. ICDAR T. Perroud, Karin Sobottka, Horst Bunke, Lawrence O. Hall
2000	B	`conf`	A parallel decision tree builder for mining very large visualization datasets. SMC Kevin W. Bowyer, Lawrence O. Hall, Thomas Moore, Nitesh V. Chawla, W. Philip Kegelmeyer
2000	B	`conf`	Chaining in fuzzy rule-based systems. FUZZ-IEEE Lawrence O. Hall
2000	B	`conf`	Finding Green River in SeaWiFS Satellite Images. ICPR Wensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger
2000	J	`jnl`	Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf. Int. J. Pattern Recognit. Artif. Intell. Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger
1999	J	`jnl`	Clustering with a genetically optimized approach. IEEE Trans. Evol. Comput. Lawrence O. Hall, Ibrahim Burak Özyurt, James C. Bezdek
1999	—	`conf`	Learning Rules from Distributed Data. Large-Scale Parallel Data Mining Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer
1999	J	`jnl`	SQFDiag: semi-quantitative model-based fault monitoring and diagnosis via episodic fuzzy rules. IEEE Trans. Syst. Man Cybern. Part A Ibrahim Burak Özyurt, Lawrence O. Hall, Aydin K. Sunol
1998	Misc	`conf`	A Qualitative Expert System for Clinical Trial Assignment. FLAIRS Sanjukta Bhanja, Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer
1998	J	`jnl`	Automatic Tumor Segmentation Using Knowledge-Based Clustering. IEEE Trans. Medical Imaging Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert P. Velthuizen, F. Reed Murtagh, Martin L. Silbiger
1998	B	`conf`	Automatic brain tumor segmentation. Image Processing Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert Paul Velthuizen, F. Reed Murtagh, Martin L. Silbiger
1998	—	`conf`	Chemical Process Fault Diagnosis Using Kernel Retrofitted Fuzzy Genetic Algorithm Based Learner (FGAL) with a Hidden Markov Model. IEA/AIE (Vol. 1) Ibrahim Burak Özyurt, Aydin K. Sunol, Lawrence O. Hall
1998	B	`conf`	Decision tree learning on very large data sets. SMC Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer
1998	J	`jnl`	Fast fuzzy clustering. Fuzzy Sets Syst. Tai Wai Cheng, Dmitry B. Goldgof, Lawrence O. Hall
1998	J	`jnl`	Generation of Fuzzy Rules from Decision Trees. J. Adv. Comput. Intell. Intell. Informatics Lawrence O. Hall, Petter Lande
1998	B	`conf`	Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images. Image Processing Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof
1997	J	`jnl`	An investigation of mountain method clustering for large data sets. Pattern Recognit. Robert P. Velthuizen, Lawrence O. Hall, Laurence P. Clarke, Martin L. Silbiger
1997	J	`jnl`	Confirmation and denial as plausible modes of fuzzy inference. Fuzzy Sets Syst. Lawrence O. Hall
1997	—	`conf`	Speaker recognition with a self-configuring neural network. ICNN Jie Lei, Lawrence O. Hall
1996	J	`jnl`	Encoding of Production Rules in a Connectionist Network. J. Intell. Fuzzy Syst. Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall
1996	J	`jnl`	Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review]. IEEE Trans. Fuzzy Syst. Lawrence O. Hall, Richard J. Hathaway
1996	B	`conf`	Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf. ICPR Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof
1996	B	`conf`	Novel approach to feature extraction for MRI segmentation. Image Processing Robert Paul Velthuizen, Lawrence O. Hall, Laurence P. Clarke
1996	J	`jnl`	Partially supervised clustering for image segmentation. Pattern Recognit. Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke
1996	J	`jnl`	Validity-guided (re)clustering with applications to image segmentation. IEEE Trans. Fuzzy Syst. Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke, Martin L. Silbiger, John A. Arrington, F. Reed Murtagh
1995	J	`jnl`	Learning Membership Functions in a Function-Based Object Recognition System. CoRR Kevin S. Woods, Diane J. Cook, Lawrence O. Hall, Kevin W. Bowyer, Louise Stark
1995	J	`jnl`	Learning Membership Functions in a Function-Based Object Recognition System. J. Artif. Intell. Res. Kevin S. Woods, Diane J. Cook, Lawrence O. Hall, Kevin W. Bowyer, Louise Stark
1995	—	`conf`	Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors. Fuzzy Logic in Artificial Intelligence Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin L. Silbiger
1994	—	`conf`	Genetic Algorithm Guided Clustering. International Conference on Evolutionary Computation James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid
1994	—	`conf`	Knowledge based (re-)clustering. ICPR (2) Matthew C. Clark, Lawrence O. Hall, Chunlin Li, Dmitry B. Goldgof
1993	J	`jnl`	Divide and Conquer Neural Networks. Neural Networks Steve G. Romaniuk, Lawrence O. Hall
1993	J	`jnl`	Knowledge-based classification and tissue labeling of MR images of human brain. IEEE Trans. Medical Imaging Chunlin Li, Dmitry B. Goldgof, Lawrence O. Hall
1993	—	`conf`	Learning Fuzzy Membership Functions in a Function-Based Object Recognition System. Fuzzy Logic in Artificial Intelligence Kevin S. Woods, Diane J. Cook, Lawrence O. Hall, Louise Stark, Kevin W. Bowyer
1993	J	`jnl`	Methods for Combination of Evidence in Function-Based 3-D Object Recognition. Int. J. Pattern Recognit. Artif. Intell. Louise Stark, Lawrence O. Hall, Kevin W. Bowyer
1993	J	`jnl`	Parallel search using transformation-ordering Lterative-Deepening-A. Int. J. Intell. Syst. Diane J. Cook, Lawrence O. Hall, Willard Thomas
1993	J	`jnl`	SC-net: A hybrid connectionist, symbolic system. Inf. Sci. Steve G. Romaniuk, Lawrence O. Hall
1992	B	`conf`	A Hybrid/Symbolic Connectionist Production System. ICTAI Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall
1992	J	`jnl`	A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Trans. Neural Networks Lawrence O. Hall, Amine Bensaid, Laurence P. Clarke, Robert P. Velthuizen, Martin L. Silbiger, James C. Bezdek
1992	J	`jnl`	Backpac: A parallel goal-driven reasoning system. Inf. Sci. Lawrence O. Hall
1992	J	`jnl`	Experimental results from parallel backward-chained expert systems. Int. J. Intell. Syst. Lawrence O. Hall
1990	A*	`conf`	A Hybrid Connectionist, Symbolic Learning System. AAAI Lawrence O. Hall, Steve G. Romaniuk
1988	J	`jnl`	On the choice of ply operators for modus ponens generation in fuzzy intelligent systems. Int. J. Approx. Reason. Lawrence O. Hall
1988	J	`jnl`	On the validation and testing of fuzzy expert systems. IEEE Trans. Syst. Man Cybern. Lawrence O. Hall, Menahem Friedman, Abraham Kandel
1986	—	`conf`	Languages for expert system building: a comparison. SIGSMALL Lawrence O. Hall, Abraham Kandel
1986	C	`conf`	New Concepts for Expert Systems Capable of Intelligence in an Imprecise Environment. IAS Lawrence O. Hall, Wyllis Bandler, Abraham Kandel
1986	J	`jnl`	On the derivation of memberships for fuzzy sets in expert systems. Inf. Sci. Lawrence O. Hall, Sue Szabo, Abraham Kandel
1985	—	`conf`	Relational Knowledge Acquisition. CAIA Lawrence O. Hall, Wyllis Bandler