Lawrence O. Hall
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
82
Venues
20
Active years
1986–2024
Best venue rank
A*
Where they publish
Papers
82 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CBMS | 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 |
| 2024 | CBMS | Anonymized Identity Tracking: Privacy Preserving Facial Encoding. | Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi |
| 2023 | CBMS | Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning. | Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath |
| 2023 | CBMS | 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 |
| 2023 | SMC | Using SMOTE-based Data Augmentation for Social Media Time Series Prediction. | Frederick Mubang, Lawrence O. Hall |
| 2022 | ICMLA | Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. | Frederick Mubang, Lawrence O. Hall |
| 2020 | SMC | Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models. | Renhao Liu, Frederick Mubang, Lawrence O. Hall |
| 2019 | SMC | 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 |
| 2019 | SMC | Automatic Cell Counting using Active Deep Learning and Unbiased Stereology. | Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton |
| 2019 | SMC | 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 |
| 2018 | ICMLA | 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 |
| 2018 | IJCNN | Predicting Nodule Malignancy using a CNN Ensemble Approach. | Rahul Paul, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies |
| 2018 | IJCNN | 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 |
| 2017 | SMC | 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 |
| 2017 | SMC | Finding label noise examples in large scale datasets. | Ekambaram Rajmadhan, Dmitry B. Goldgof, Lawrence O. Hall |
| 2016 | ICIP | 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 |
| 2016 | ICPR | Spectral sparsification in spectral clustering. | Alireza Chakeri, Hamidreza Farhidzadeh, Lawrence O. Hall |
| 2016 | IJCNN | 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 |
| 2016 | SMC | 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 |
| 2016 | SMC | 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 |
| 2016 | SMC | 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 |
| 2015 | ICDM | Large Data Clustering Using Quadratic Programming: A Comprehensive Quantitative Analysis. | Alireza Chakeri, Lawrence O. Hall |
| 2015 | SMC | 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 |
| 2015 | SMC | 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 |
| 2015 | SMC | 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 |
| 2014 | CIDM | Relational data partitioning using evolutionary game theory. | Lawrence O. Hall, Alireza Chakeri |
| 2014 | ICPR | Dominant Sets as a Framework for Cluster Ensembles: An Evolutionary Game Theory Approach. | Alireza Chakeri, Lawrence O. Hall |
| 2014 | ICPR | Exploring Brain Tumor Heterogeneity for Survival Time Prediction. | Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof |
| 2014 | SMC | 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 |
| 2014 | SMC | 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 |
| 2013 | ICIAP | 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 |
| 2013 | SMC | 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 |
| 2013 | SMC | 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 |
| 2012 | CBMS | 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 |
| 2012 | ICPR | 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 |
| 2011 | CIDM | Increased classification accuracy and speedup through pair-wise feature selection for support vector machines. | Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Andrew Remsen |
| 2011 | ICDM | 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 |
| 2011 | SMC | 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 |
| 2011 | SMC | Procedure for stability analysis of gene selection from cross-site gene expression data. | John N. Korecki, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich |
| 2010 | SMC | Filtering for improved gene selection on microarray data. | Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich |
| 2010 | SMC | Evaluating scalable fuzzy clustering. | Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof |
| 2009 | SMC | Automatic Red Tide Detection from MODIS Satellite Images. | Weijian Cheng, Lawrence O. Hall, Dmitry B. Goldgof, Chuanmin Hu, Inia M. Soto |
| 2008 | SMC | Feature selection for microarray data by AUC analysis. | Juana Canul-Reich, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich |
| 2007 | BIBE | Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data. | Vidya P. Kamath, Lawrence O. Hall, Timothy Yeatman, Steven Eschrich |
| 2007 | SMC | 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 |
| 2007 | SMC | A fuzzy c means variant for clustering evolving data streams. | Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof |
| 2006 | ICMLA | Horizon Detection Using Machine Learning Techniques. | Sergiy Fefilatyev, Volha Smarodzinava, Lawrence O. Hall, Dmitry B. Goldgof |
| 2006 | ICPR | Mining for Implications in Medical Data. | Cindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof |
| 2006 | IJCNN | Predicting Juvenile Diabetes from Clinical Test Results. | Shibendra S. Pobi, Lawrence O. Hall |
| 2006 | ICTAI | 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 |
| 2006 | SMC | A Cluster Ensemble Framework for Large Data sets. | Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof |
| 2005 | ICDM | Bit Reduction Support Vector Machine. | Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen |
| 2005 | SMC | Sequence tolerant segmentation system of brain MRI. | Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof, Parag M. Kanade, F. Reed Murtagh |
| 2004 | CBMS | 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 |
| 2004 | ICPR | Active Learning to Recognize Multiple Types of Plankton. | Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins |
| 2004 | SMC | Learning a model from spatially disjoint data. | Lawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer |
| 2004 | SMC | 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 |
| 2003 | ICDM | Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. | Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich |
| 2003 | SMC | 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 |
| 2003 | SMC | 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 |
| 2003 | SMC | Learning to recognize plankton. | Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins |
| 2002 | CEC | 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 |
| 2002 | ICTAI | 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 |
| 2002 | KDD | Generalization Methods in Bioinformatics. | Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall |
| 2001 | CVPR | Bagging Is a Small-Data-Set Phenomenon. | Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer |
| 2001 | ICDAR | Text Extraction from Color Documents - Clustering Approaches in Three and Four Dimensions. | T. Perroud, Karin Sobottka, Horst Bunke, Lawrence O. Hall |
| 2001 | ICDM | Creating Ensembles of Classifiers. | Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall |
| 2001 | KDD | 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 |
| 2001 | SMC | Data mining from extreme data sets: very large and/or very skewed data sets. | Lawrence O. Hall |
| 2000 | ICPR | Finding Green River in SeaWiFS Satellite Images. | Wensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Mller-Karger |
| 2000 | SMC | 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 |
| 1999 | KDD | Learning Rules from Distributed Data. | Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer |
| 1998 | FlAIRS | A Qualitative Expert System for Clinical Trial Assignment. | Sanjukta Bhanja, Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer |
| 1998 | SMC | Decision tree learning on very large data sets. | Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer |
| 1996 | ICPR | Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf. | Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof |
| 1995 | IJCAI | Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors. | Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin L. Silbiger |
| 1994 | ICEC | Genetic Algorithm Guided Clustering. | James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid |
| 1994 | ICPR | Knowledge based (re-)clustering. | Matthew C. Clark, Lawrence O. Hall, Chunlin Li, Dmitry B. Goldgof |
| 1993 | IJCAI | 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 |
| 1992 | ICTAI | A Hybrid/Symbolic Connectionist Production System. | Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall |
| 1990 | AAAI | A Hybrid Connectionist, Symbolic Learning System. | Lawrence O. Hall, Steve G. Romaniuk |
| 1986 | IAS | New Concepts for Expert Systems Capable of Intelligence in an Imprecise Environment. | Lawrence O. Hall, Wyllis Bandler, Abraham Kandel |