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Lawrence O. Hall
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- affiliation: University of South Florida, Department of Computer Science and Engineering, Tampa, FL, USA
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2020 – today
- 2024
- [j73]Adriana Iamnitchi, Lawrence O. Hall, Sameera Horawalavithana, Frederick Mubang, Kin Wai Ng, John Skvoretz:
Modeling information diffusion in social media: data-driven observations. Frontiers Big Data 6 (2024) - [j72]Saeed S. Alahmari
, Dmitry B. Goldgof
, Lawrence O. Hall
, Peter R. Mouton
:
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. 35(6): 7458-7477 (2024) - [c138]Manas Sanjay Pakalapati, Dmitry B. Goldgof, Lawrence O. Hall, Ghada Zamzmi:
Anonymized Identity Tracking: Privacy Preserving Facial Encoding. CBMS 2024: 89-93 - [c137]Abhiram Kandiyana, Peter R. Mouton, Lawrence O. Hall, Dmitry B. Goldgof:
Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images. CBMS 2024: 205-212 - [i9]Shashwat Kumar, Francis Hahn, Xinming Ou, Dmitry B. Goldgof, Lawrence O. Hall, Jay Ligatti, S. Raj Rajagopalan, Armin Ziaie Tabari:
A Preliminary Study on Using Large Language Models in Software Pentesting. CoRR abs/2401.17459 (2024) - 2023
- [j71]Kin Wai Ng, Frederick Mubang, Lawrence O. Hall, John Skvoretz, Adriana Iamnitchi
:
Experimental evaluation of baselines for forecasting social media timeseries. EPJ Data Sci. 12(1): 8 (2023) - [j70]Frederick Mubang
, Lawrence O. Hall
:
VAM: An End-to-End Simulator for Time Series Regression and Temporal Link Prediction in Social Media Networks. IEEE Trans. Comput. Soc. Syst. 10(4): 1479-1490 (2023) - [c136]Hunter Morera, Palak Dave, Saeed S. Alahmari, Yaroslav Kolinko
, Lawrence O. Hall, Dmitry B. Goldgof, Peter R. Mouton:
MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting. CBMS 2023: 827-831 - [c135]Nikolai Fetisov, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath:
Unsupervised Prostate Cancer Histopathology Image Segmentation via Meta-Learning. CBMS 2023: 838-844 - [c134]Frederick Mubang, Lawrence O. Hall:
Using SMOTE-based Data Augmentation for Social Media Time Series Prediction. SMC 2023: 893-898 - 2022
- [j69]Kaoutar Ben Ahmed
, Lawrence O. Hall
, Dmitry B. Goldgof, Ryan Fogarty
:
Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning. IEEE Access 10: 78726-78738 (2022) - [j68]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:
Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. Algorithms 15(10): 339 (2022) - [c133]Frederick Mubang, Lawrence O. Hall:
Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. ICMLA 2022: 132-139 - [c132]Hunter Morera, Palak Dave, Yaroslav Kolinko
, Kurtis Allen, Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
Classification of global microglia proliferation based on deep learning with local images. Medical Imaging: Image Processing 2022 - [d1]Kaoutar Ben Ahmed, Gregory M. Goldgof, Rahul Paul, Dmitry B. Goldgof, Lawrence O. Hall:
COVID-19 and Pneumonia Xrays. IEEE DataPort, 2022 - [i8]Frederick Mubang, Lawrence O. Hall:
Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models. CoRR abs/2202.08964 (2022) - [i7]Kin Wai Ng, Frederick Mubang, Lawrence O. Hall, John Skvoretz, Adriana Iamnitchi:
Experimental Evaluation of Baselines for Forecasting Social Media Timeseries. CoRR abs/2210.05847 (2022) - 2021
- [j67]Kaoutar Ben Ahmed
, Gregory M. Goldgof
, Rahul Paul
, Dmitry B. Goldgof
, Lawrence O. Hall
:
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification. IEEE Access 9: 72970-72979 (2021) - [c131]Rahul Paul, Sherzod Kariev, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies
, Lawrence O. Hall, Dmitry B. Goldgof:
Deep radiomics: deep learning on radiomics texture images. Medical Imaging: Computer-Aided Diagnosis 2021 - [i6]Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof, Gregory M. Goldgof, Rahul Paul:
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders. CoRR abs/2102.04300 (2021) - [i5]Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall:
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction. CoRR abs/2109.02785 (2021) - 2020
- [j66]Saeed S. Alahmari
, Dmitry B. Goldgof
, Peter R. Mouton
, Lawrence O. Hall
:
Challenges for the Repeatability of Deep Learning Models. IEEE Access 8: 211860-211868 (2020) - [j65]Rahul Paul
, Matthew B. Schabath, Robert J. Gillies
, Lawrence O. Hall, Dmitry B. Goldgof:
Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. Comput. Biol. Medicine 122: 103882 (2020) - [c130]Valerie Cross, Michael Zmuda, Rahul Paul
, Lawrence O. Hall:
Fuzzy Set Similarity for Feature Selection in Classification. FUZZ-IEEE 2020: 1-8 - [c129]Rahul Paul
, Matthew B. Schabath, Robert J. Gillies
, Lawrence O. Hall, Dmitry B. Goldgof:
Mitigating Adversarial Attacks on Medical Image Understanding Systems. ISBI 2020: 1517-1521 - [c128]Renhao Liu, Frederick Mubang, Lawrence O. Hall:
Simulating Temporal User Activity on Social Networks with Sequence to Sequence Neural Models. SMC 2020: 1677-1684 - [i4]Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof, Gregory M. Goldgof:
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset. CoRR abs/2004.02060 (2020)
2010 – 2019
- 2019
- [c127]Rahul Paul
, Dmitry Cherezov, Matthew B. Schabath, Robert J. Gillies
, Lawrence O. Hall, Dmitry B. Goldgof:
Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. Medical Imaging: Computer-Aided Diagnosis 2019: 109503Z - [c126]Kaoutar Ben Ahmed, Lawrence O. Hall, Renhao Liu, Robert A. Gatenby, Dmitry B. Goldgof:
Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data. SMC 2019: 1331-1335 - [c125]Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
Automatic Cell Counting using Active Deep Learning and Unbiased Stereology. SMC 2019: 1708-1713 - [c124]Renhao Liu, Frederick Mubang, Lawrence O. Hall, Sameera Horawalavithana
, Adriana Iamnitchi
, John Skvoretz:
Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms. SMC 2019: 2535-2542 - [c123]Sameera Horawalavithana
, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, Adriana Iamnitchi
:
Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub. WI 2019: 200-207 - [i3]Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton:
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop. CoRR abs/1901.04355 (2019) - 2018
- [j64]Saeed S. Alahmari
, Dmitry Cherezov, Dmitry B. Goldgof, Lawrence O. Hall, Robert J. Gillies
, Matthew B. Schabath:
Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. IEEE Access 6: 77796-77806 (2018) - [c122]Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady
, Peter R. Mouton:
Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. ICMLA 2018: 665-670 - [c121]Rahul Paul
, Lawrence O. Hall, Dmitry B. Goldgof, Matthew B. Schabath, Robert J. Gillies:
Predicting Nodule Malignancy using a CNN Ensemble Approach. IJCNN 2018: 1-8 - [c120]Rahul Paul
, Ying Liu, Qian Li, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Matthew B. Schabath, Robert J. Gillies:
Representation of Deep Features using Radiologist defined Semantic Features. IJCNN 2018: 1-7 - [c119]Rahul Paul
, Muhammad Shafiq-ul-Hassan, Eduardo G. Moros
, Robert J. Gillies
, Lawrence O. Hall, Dmitry B. Goldgof:
Stability of deep features across CT scanners and field of view using a physical phantom. Medical Imaging: Computer-Aided Diagnosis 2018: 105753P - 2017
- [j63]Hady Ahmady Phoulady
, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images. Comput. Medical Imaging Graph. 59: 38-49 (2017) - [j62]Meng Fang
, Jie Yin, Lawrence O. Hall, Dacheng Tao:
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk. IEEE Trans. Cybern. 47(11): 3906-3915 (2017) - [c118]Kaoutar Ben Ahmed
, Lawrence O. Hall, Dmitry B. Goldgof, Renhao Liu, Robert A. Gatenby:
Fine-tuning convolutional deep features for MRI based brain tumor classification. Medical Imaging: Computer-Aided Diagnosis 2017: 101342E - [c117]Renhao Liu, Lawrence O. Hall, Kevin W. Bowyer
, Dmitry B. Goldgof, Robert A. Gatenby, Kaoutar Ben Ahmed:
Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction. SMC 2017: 1357-1362 - [c116]Ekambaram Rajmadhan, Dmitry B. Goldgof, Lawrence O. Hall:
Finding label noise examples in large scale datasets. SMC 2017: 2420-2424 - 2016
- [j61]Ekambaram Rajmadhan, Sergiy Fefilatyev, Matthew Shreve, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi
:
Active cleaning of label noise. Pattern Recognit. 51: 463-480 (2016) - [c115]Hady Ahmady Phoulady
, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling. ICIP 2016: 2658-2662 - [c114]Alireza Chakeri, Hamidreza Farhidzadeh, Lawrence O. Hall:
Spectral sparsification in spectral clustering. ICPR 2016: 2301-2306 - [c113]Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed
:
Exploring deep features from brain tumor magnetic resonance images via transfer learning. IJCNN 2016: 235-242 - [c112]Hady Ahmady Phoulady
, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images. ISBI 2016: 201-204 - [c111]Baishali Chaudhury, Mu Zhou, Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies
, Robert J. Weinfurtner
, Jennifer S. Drukteinis:
Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats. Medical Imaging: Computer-Aided Diagnosis 2016: 97850T - [c110]Hamidreza Farhidzadeh, Baishali Chaudhury, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies
, Meera Raghavan:
Signal intensity analysis of ecological defined habitat in soft tissue sarcomas to predict metastasis development. Medical Imaging: Computer-Aided Diagnosis 2016: 97851H - [c109]Hamidreza Farhidzadeh, Joo Y. Kim, Jacob G. Scott, Dmitry B. Goldgof, Lawrence O. Hall, Louis B. Harrison:
Classification of progression free survival with nasopharyngeal carcinoma tumors. Medical Imaging: Computer-Aided Diagnosis 2016: 97851I - [c108]Benjamin Geiger, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Yoganand Balagurunathan, Robert A. Gatenby, Robert J. Gillies
:
Change descriptors for determining nodule malignancy in national lung screening trial CT screening images. Medical Imaging: Computer-Aided Diagnosis 2016: 978535 - [c107]Hady Ahmady Phoulady
, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
Nucleus segmentation in histology images with hierarchical multilevel thresholding. Medical Imaging: Digital Pathology 2016: 979111 - [c106]Dmitry Cherezov, Samuel H. Hawkins, Dmitry B. Goldgof, Lawrence O. Hall, Yoganand Balagurunathan, Robert J. Gillies, Matthew B. Schabath
:
Improving malignancy prediction through feature selection informed by nodule size ranges in NLST. SMC 2016: 1939-1944 - [c105]Rahul Paul
, Samuel H. Hawkins, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies:
Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT. SMC 2016: 2570-2575 - [c104]Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Jacob G. Scott, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan:
A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs. SMC 2016: 4549-4554 - 2015
- [c103]Alireza Chakeri, Lawrence O. Hall:
Large Data Clustering Using Quadratic Programming: A Comprehensive Quantitative Analysis. ICDM Workshops 2015: 806-813 - [c102]Hamidreza Farhidzadeh, Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies
, Meera Raghavan:
Prediction of treatment outcome in soft tissue sarcoma based on radiologically defined habitats. Medical Imaging: Computer-Aided Diagnosis 2015: 94141U - [c101]Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies
, Robert A. Gatenby:
Imbalanced learning for clinical survival group prediction of brain tumor patients. Medical Imaging: Computer-Aided Diagnosis 2015: 94142K - [c100]Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robin Russo
, Robert J. Gillies
, Robert A. Gatenby:
Decoding brain cancer dynamics: a quantitative histogram-based approach using temporal MRI. Medical Imaging: Computer-Aided Diagnosis 2015: 94142H - [c99]Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies
, Jennifer S. Drukteinis:
Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI. Medical Imaging: Computer-Aided Diagnosis 2015: 941415 - [c98]Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis:
Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors. SMC 2015: 2164-2169 - [c97]Hailing Zhou
, Dmitry B. Goldgof, Samuel H. Hawkins, Lei Wei
, Ying Liu, Douglas C. Creighton, Robert J. Gillies, Lawrence O. Hall, Saeid Nahavandi:
A Robust Approach for Automated Lung Segmentation in Thoracic CT. SMC 2015: 2267-2272 - [c96]Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan:
Texture Feature Analysis to Predict Metastatic and Necrotic Soft Tissue Sarcomas. SMC 2015: 2798-2802 - 2014
- [j60]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:
Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features. IEEE Access 2: 1418-1426 (2014) - [j59]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
:
Test-Retest Reproducibility Analysis of Lung CT Image Features. J. Digit. Imaging 27(6): 805-823 (2014) - [j58]Jonathon K. Parker, Lawrence O. Hall:
Accelerating Fuzzy-C Means Using an Estimated Subsample Size. IEEE Trans. Fuzzy Syst. 22(5): 1229-1244 (2014) - [c95]Lawrence O. Hall, Alireza Chakeri:
Relational data partitioning using evolutionary game theory. CIDM 2014: 113-120 - [c94]Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof:
Exploring Brain Tumor Heterogeneity for Survival Time Prediction. ICPR 2014: 580-585 - [c93]Alireza Chakeri, Lawrence O. Hall:
Dominant Sets as a Framework for Cluster Ensembles: An Evolutionary Game Theory Approach. ICPR 2014: 3457-3462 - [c92]Baishali Chaudhury, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis:
New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis. Medical Imaging: Computer-Aided Diagnosis 2014: 90351V - [c91]Hamidreza Farhidzadeh, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Meera Raghavan, Robert A. Gatenby:
Prediction of treatment response and metastatic disease in soft tissue sarcoma. Medical Imaging: Computer-Aided Diagnosis 2014: 903518 - [c90]Hady Ahmady Phoulady
, Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Ardeshir Hakam, Erin M. Siegel:
Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images. SMC 2014: 870-875 - [c89]Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis:
Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction. SMC 2014: 2624-2629 - 2013
- [j57]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
:
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. Pattern Recognit. 46(3): 692-702 (2013) - [c88]Alireza Chakeri, Iman Nekooeimehr, Lawrence O. Hall:
Dempster-Shafer theory of evidence in Single Pass Fuzzy C Means. FUZZ-IEEE 2013: 1-5 - [c87]Baishali Chaudhury, Hady Ahmady Phoulady
, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Ardeshir Hakam, Erin M. Siegel:
An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer. ICIAP (1) 2013: 823-832 - [c86]Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert J. Gillies, Robert A. Gatenby:
Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement. Medical Imaging: Computer-Aided Diagnosis 2013: 86702O - [c85]Henry Krewer, Benjamin Geiger, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Melvyn Tockman, Robert J. Gillies:
Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography. SMC 2013: 3887-3891 - [c84]Mu Zhou, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies:
A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients. SMC 2013: 4533-4538 - 2012
- [j56]Juana Canul-Reich
, Lawrence O. Hall, Dmitry B. Goldgof, John N. Korecki, Steven Eschrich:
Iterative Feature perturbation as a gene Selector for microarray Data. Int. J. Pattern Recognit. Artif. Intell. 26(5) (2012) - [j55]Timothy C. Havens, James C. Bezdek, Christopher Leckie
, Lawrence O. Hall, Marimuthu Palaniswami:
Fuzzy c-Means Algorithms for Very Large Data. IEEE Trans. Fuzzy Syst. 20(6): 1130-1146 (2012) - [j54]Lawrence O. Hall:
Objective function-based clustering. WIREs Data Mining Knowl. Discov. 2(4): 326-339 (2012) - [c83]Baishali Chaudhury, Kurt Kramer, Daniel Elozory, Gerry Hernandez, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
A novel algorithm for automated counting of stained cells on thick tissue sections. CBMS 2012: 1-6 - [c82]Jonathon K. Parker, Lawrence O. Hall, James C. Bezdek:
Comparison of scalable fuzzy clustering methods. FUZZ-IEEE 2012: 1-9 - [c81]Sergiy Fefilatyev, Matthew Shreve, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Kendra Daly, Andrew Remsen, Horst Bunke:
Label-noise reduction with support vector machines. ICPR 2012: 3504-3508 - [c80]Lawrence O. Hall:
Exploring Big Data with Scalable Soft Clustering. SMPS 2012: 11-15 - 2011
- [j53]Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer
, W. Philip Kegelmeyer:
Detecting and ordering salient regions. Data Min. Knowl. Discov. 22(1-2): 259-290 (2011) - [j52]Lawrence O. Hall, Dmitry B. Goldgof:
Convergence of the Single-Pass and Online Fuzzy C-Means Algorithms. IEEE Trans. Fuzzy Syst. 19(4): 792-794 (2011) - [c79]Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Andrew Remsen:
Increased classification accuracy and speedup through pair-wise feature selection for support vector machines. CIDM 2011: 318-324 - [c78]Sergiy Fefilatyev, Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Rangachar Kasturi, Andrew Remsen, Kendra Daly:
Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform. ICDM Workshops 2011: 741-748 - [c77]Larry Shoemaker, Lawrence O. Hall:
Anomaly Detection Using Ensembles. MCS 2011: 6-15 - [c76]Om Pavithra Bonam, Daniel Elozory, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Osvaldo Mangual, Peter R. Mouton:
Toward automated quantification of biological microstructures using unbiased stereology. Medical Imaging: Computer-Aided Diagnosis 2011: 79633G - [c75]Daniel T. Elozory, Om Pavithra Bonam, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Osvaldo Mangual, Peter R. Mouton:
Automatic location of microscopic focal planes for computerized stereology. Medical Imaging: Computer-Aided Diagnosis 2011: 79633C - [c74]John N. Korecki, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich:
Procedure for stability analysis of gene selection from cross-site gene expression data. SMC 2011: 909-913 - [c73]Satrajit Basu, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Virendra Kumar
, Jung Choi, Robert J. Gillies, Robert A. Gatenby:
Developing a classifier model for lung tumors in CT-scan images. SMC 2011: 1306-1312 - [i2]Kevin W. Bowyer, Nitesh V. Chawla, Lawrence O. Hall, W. Philip Kegelmeyer:
SMOTE: Synthetic Minority Over-sampling Technique. CoRR abs/1106.1813 (2011) - 2010
- [c72]Lawrence O. Hall, Dmitry B. Goldgof:
On convergence properties of the singlepass and online fuzzy c-means algorithm. FUZZ-IEEE 2010: 1-3 - [c71]Jonathon K. Parker, Lawrence O. Hall, Abraham Kandel:
Scalable fuzzy neighborhood DBSCAN. FUZZ-IEEE 2010: 1-8 - [c70]Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof:
Evaluating scalable fuzzy clustering. SMC 2010: 873-880 - [c69]Juana Canul-Reich
, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich:
Filtering for improved gene selection on microarray data. SMC 2010: 3250-3257
2000 – 2009
- 2009
- [j51]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof:
A scalable framework for cluster ensembles. Pattern Recognit. 42(5): 676-688 (2009) - [j50]Kurt Kramer, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen, Tong Luo:
Fast Support Vector Machines for Continuous Data. IEEE Trans. Syst. Man Cybern. Part B 39(4): 989-1001 (2009) - [j49]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof, Yuhua Gu, Andrew Maudsley
, Ammar Darkazanli:
A Scalable Framework For Segmenting Magnetic Resonance Images. J. Signal Process. Syst. 54(1-3): 183-203 (2009) - [c68]Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof:
Ant Clustering Using Ensembles of Partitions. MCS 2009: 283-292 - [c67]Weijian Cheng, Lawrence O. Hall, Dmitry B. Goldgof, Chuanmin Hu, Inia M. Soto
:
Automatic Red Tide Detection from MODIS Satellite Images. SMC 2009: 1864-1868 - [p1]Lawrence O. Hall, Dmitry B. Goldgof, Juana Canul-Reich
, Prodip Hore, Weijian Cheng, Larry Shoemaker:
Scaling Fuzzy Models. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 31-53 - 2008
- [j48]Nitesh V. Chawla
, David A. Cieslak, Lawrence O. Hall, Ajay Joshi:
Automatically countering imbalance and its empirical relationship to cost. Data Min. Knowl. Discov. 17(2): 225-252 (2008) - [j47]Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer
, W. Philip Kegelmeyer:
Using classifier ensembles to label spatially disjoint data. Inf. Fusion 9(1): 120-133 (2008) - [c66]John Nicholas Korecki, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
Semi-supervised learning on large complex simulations. ICPR 2008: 1-4 - [c65]Larry Shoemaker, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
Detecting and ordering salient regions for efficient browsing. ICPR 2008: 1-4 - [c64]Juana Canul-Reich
, Lawrence O. Hall, Dmitry B. Goldgof, Steven Eschrich:
Feature selection for microarray data by AUC analysis. SMC 2008: 768-773 - 2007
- [j46]Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer
, W. Philip Kegelmeyer:
A Comparison of Decision Tree Ensemble Creation Techniques. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 173-180 (2007) - [j45]Parag M. Kanade, Lawrence O. Hall:
Fuzzy Ants and Clustering. IEEE Trans. Syst. Man Cybern. Part A 37(5): 758-769 (2007) - [c63]Vidya P. Kamath, Lawrence O. Hall, Timothy Yeatman, Steven Eschrich:
Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data. BIBE 2007: 1041-1045 - [c62]Juana Canul-Reich
, Larry Shoemaker, Lawrence O. Hall:
Ensembles of Fuzzy Classifiers. FUZZ-IEEE 2007: 1-6 - [c61]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof:
Single Pass Fuzzy C Means. FUZZ-IEEE 2007: 1-7 - [c60]Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Steven Eschrich:
Noise-Based Feature Perturbation as a Selection Method for Microarray Data. ISBRA 2007: 237-247 - [c59]Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer:
Boosting Lite - Handling Larger Datasets and Slower Base Classifiers. MCS 2007: 161-170 - [c58]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof:
A fuzzy c means variant for clustering evolving data streams. SMC 2007: 360-365 - [c57]Sergiy Fefilatyev, Tim V. Ivanovskiy, Lawrence O. Hall, Dmitry B. Goldgof, Shibendra S. Pobi, Halina Greenstien, Amit P. Pathak, Christopher R. Garret:
Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges. SMC 2007: 1482-1487 - 2006
- [j44]Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar
:
A constrained genetic approach for computing material property of elastic objects. IEEE Trans. Evol. Comput. 10(3): 341-357 (2006) - [c56]Yuhua Gu, Lawrence O. Hall:
Kernel Based Fuzzy Ant Clustering with Partition Validity. FUZZ-IEEE 2006: 61-65 - [c55]Sergiy Fefilatyev, Volha Smarodzinava, Lawrence O. Hall, Dmitry B. Goldgof:
Horizon Detection Using Machine Learning Techniques. ICMLA 2006: 17-21 - [c54]Cindy L. Bethel, Lawrence O. Hall, Dmitry B. Goldgof:
Mining for Implications in Medical Data. ICPR (1) 2006: 1212-1215 - [c53]Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer
, W. Philip Kegelmeyer:
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets. ICTAI 2006: 116-126 - [c52]Shibendra S. Pobi, Lawrence O. Hall:
Predicting Juvenile Diabetes from Clinical Test Results. IJCNN 2006: 2159-2165 - [c51]Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof:
A Cluster Ensemble Framework for Large Data sets. SMC 2006: 3342-3347 - 2005
- [j43]Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer
, W. Philip Kegelmeyer:
Ensemble diversity measures and their application to thinning. Inf. Fusion 6(1): 49-62 (2005) - [j42]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Active Learning to Recognize Multiple Types of Plankton. J. Mach. Learn. Res. 6: 589-613 (2005) - [c50]Lawrence O. Hall, Parag M. Kanade:
Swarm Based Fuzzy Clustering with Partition Validity. FUZZ-IEEE 2005: 991-995 - [c49]Lawrence O. Hall, Parag M. Kanade:
Scalable Swarm Based Fuzzy Clustering. GfKl 2005: 21-31 - [c48]Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen:
Bit Reduction Support Vector Machine. ICDM 2005: 733-736 - [c47]Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
Ensembles of Classifiers from Spatially Disjoint Data. Multiple Classifier Systems 2005: 196-205 - [c46]Yuhua Gu, Lawrence O. Hall, Dmitry B. Goldgof, Parag M. Kanade, F. Reed Murtagh:
Sequence tolerant segmentation system of brain MRI. SMC 2005: 2936-2943 - 2004
- [j41]Eugene Fink, Princeton K. Kokku, Savvas Nikiforou, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer:
Selection of patients for clinical trials: an interactive web-based system. Artif. Intell. Medicine 31(3): 241-254 (2004) - [j40]Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
Learning Ensembles from Bites: A Scalable and Accurate Approach. J. Mach. Learn. Res. 5: 421-451 (2004) - [j39]Xiaomei Liu, Lawrence O. Hall, Kevin W. Bowyer
:
Comments on "A Parallel Mixture of SVMs for Very Large Scale Problems". Neural Comput. 16(7): 1345-1351 (2004) - [j38]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Recognizing plankton images from the shadow image particle profiling evaluation recorder. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1753-1762 (2004) - [j37]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Errata to "Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder". IEEE Trans. Syst. Man Cybern. Part B 34(6): 2423-2423 (2004) - [j36]Lawrence O. Hall:
List of Reviewers. IEEE Trans. Syst. Man Cybern. Part B 34(6): 2486-2491 (2004) - [c45]Bhavesh D. Goswami, Lawrence O. Hall, Dmitry B. Goldgof, Eugene Fink, Jeffrey P. Krischer:
Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials. CBMS 2004: 434- - [c44]Prodip Hore, Lawrence O. Hall:
Scalable clustering: a distributed approach. FUZZ-IEEE 2004: 143-148 - [c43]Parag M. Kanade, Lawrence O. Hall:
Fuzzy ant clustering by centroid positioning. FUZZ-IEEE 2004: 371-376 - [c42]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Active Learning to Recognize Multiple Types of Plankton. ICPR (3) 2004: 478-481 - [c41]Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich:
A Comparison of Ensemble Creation Techniques. Multiple Classifier Systems 2004: 223-232 - [c40]Lawrence O. Hall, Divya Bhadoria, Kevin W. Bowyer
:
Learning a model from spatially disjoint data. SMC (2) 2004: 1447-1451 - [c39]Xiaomei Liu, Kevin W. Bowyer
, Lawrence O. Hall:
Decision trees work better than feed-forward back-prop neural nets for a specific class of problems. SMC (6) 2004: 5969-5974 - 2003
- [j35]Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Steven Eschrich, Richard Collins:
Is Error-Based Pruning Redeemable? Int. J. Artif. Intell. Tools 12(3): 249-264 (2003) - [j34]Nitesh V. Chawla
, Thomas E. Moore, Lawrence O. Hall, Kevin W. Bowyer
, W. Philip Kegelmeyer, Clayton Springer:
Distributed learning with bagging-like performance. Pattern Recognit. Lett. 24(1-3): 455-471 (2003) - [j33]Steven Eschrich, Jingwei Ke, Lawrence O. Hall, Dmitry B. Goldgof:
Fast accurate fuzzy clustering through data reduction. IEEE Trans. Fuzzy Syst. 11(2): 262-270 (2003) - [j32]Michael R. Berthold, Lawrence O. Hall:
Visualizing fuzzy points in parallel coordinates. IEEE Trans. Fuzzy Syst. 11(3): 369-374 (2003) - [c38]Steven Eschrich, Lawrence O. Hall:
Learning from soft partitions of data: reducing the variance. FUZZ-IEEE 2003: 666-671 - [c37]Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich:
Comparing Pure Parallel Ensemble Creation Techniques Against Bagging. ICDM 2003: 533-536 - [c36]Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
A New Ensemble Diversity Measure Applied to Thinning Ensembles. Multiple Classifier Systems 2003: 306-316 - [c35]Nitesh V. Chawla
, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer:
SMOTEBoost: Improving Prediction of the Minority Class in Boosting. PKDD 2003: 107-119 - [c34]Tong Luo, Kurt Kramer, Dmitry B. Goldgof, Lawrence O. Hall, Scott Samson, Andrew Remsen, Thomas Hopkins:
Learning to recognize plankton. SMC 2003: 888-893 - [c33]Lawrence O. Hall, Xiaomei Liu, Kevin W. Bowyer, Robert E. Banfield:
Why are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem. SMC 2003: 2851-2856 - [c32]Eugene Fink, Lawrence O. Hall, Dmitry B. Goldgof, Bhavesh D. Goswami, Matthew Boonstra, Jeffrey P. Krischer:
Experiments on the automated selection of patients for clinical trials. SMC 2003: 4541-4545 - 2002
- [j31]Nitesh V. Chawla
, Kevin W. Bowyer, Lawrence O. Hall, W. Philip Kegelmeyer:
SMOTE: Synthetic Minority Over-sampling Technique. J. Artif. Intell. Res. 16: 321-357 (2002) - [j30]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof:
A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. IEEE Trans. Syst. Man Cybern. Part B 32(5): 571-582 (2002) - [c31]Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar
:
A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements. IEEE Congress on Evolutionary Computation 2002: 1003-1008 - [c30]Girish Keswani, Lawrence O. Hall:
Text classification with enhanced semi-supervised fuzzy clustering. FUZZ-IEEE 2002: 621-626 - [c29]Lawrence O. Hall, Richard Collins, Kevin W. Bowyer, Robert E. Banfield:
Error-Based Pruning of Decision Trees Grown on Very Large Data Sets Can Work! ICTAI 2002: 233-238 - [c28]Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hall:
Generalization Methods in Bioinformatics. BIOKDD 2002: 25-32 - [c27]Nitesh V. Chawla
, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer:
Distributed Pasting of Small Votes. Multiple Classifier Systems 2002: 52-61 - 2001
- [j29]Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, F. Reed Murtagh:
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. Artif. Intell. Medicine 21(1-3): 43-63 (2001) - [j28]Horia-Nicolai L. Teodorescu, Abraham Kandel, Lawrence O. Hall:
Report of research activities in fuzzy AI and medicine at USF CSE. Artif. Intell. Medicine 21(1-3): 177-183 (2001) - [j27]Kevin W. Bowyer, Lawrence O. Hall:
Reducing Effects of Plagiarism in Programming Classes. J. Inf. Syst. Educ. 12(3): 141-148 (2001) - [j26]Lawrence O. Hall:
Rule chaining in fuzzy expert systems. IEEE Trans. Fuzzy Syst. 9(6): 822-828 (2001) - [j25]K. Patipati, Lawrence O. Hall:
SMCB goes all electronic. IEEE Trans. Syst. Man Cybern. Part B 31(4): 481 (2001) - [c26]Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer:
Bagging Is a Small-Data-Set Phenomenon. CVPR (2) 2001: 684-689 - [c25]T. Perroud, Karin Sobottka, Horst Bunke, Lawrence O. Hall:
Text Extraction from Color Documents - Clustering Approaches in Three and Four Dimensions. ICDAR 2001: 937-941 - [c24]Nitesh V. Chawla, Steven Eschrich, Lawrence O. Hall:
Creating Ensembles of Classifiers. ICDM 2001: 580-581 - [c23]Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer:
Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. BIOKDD 2001: 50-59 - [c22]Lawrence O. Hall:
Data mining from extreme data sets: very large and/or very skewed data sets. SMC 2001: 2555 - 2000
- [j24]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger:
Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf. Int. J. Pattern Recognit. Artif. Intell. 14(8): 987-1007 (2000) - [c21]Lawrence O. Hall:
Chaining in fuzzy rule-based systems. FUZZ-IEEE 2000: 906-910 - [c20]Wensheng Yao, Lawrence O. Hall, Dmitry B. Goldgof, Frank E. Müller-Karger:
Finding Green River in SeaWiFS Satellite Images. ICPR 2000: 2307-2310 - [c19]Kevin W. Bowyer, Lawrence O. Hall, Thomas Moore, Nitesh V. Chawla, W. Philip Kegelmeyer:
A parallel decision tree builder for mining very large visualization datasets. SMC 2000: 1888-1893
1990 – 1999
- 1999
- [j23]Lawrence O. Hall, Ibrahim Burak Özyurt, James C. Bezdek:
Clustering with a genetically optimized approach. IEEE Trans. Evol. Comput. 3(2): 103-112 (1999) - [j22]Ibrahim Burak Özyurt, Lawrence O. Hall, Aydin K. Sunol:
SQFDiag: semi-quantitative model-based fault monitoring and diagnosis via episodic fuzzy rules. IEEE Trans. Syst. Man Cybern. Part A 29(3): 294-306 (1999) - [c18]Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer:
Learning Rules from Distributed Data. Large-Scale Parallel Data Mining 1999: 211-220 - 1998
- [j21]Tai Wai Cheng, Dmitry B. Goldgof, Lawrence O. Hall:
Fast fuzzy clustering. Fuzzy Sets Syst. 93(1): 49-56 (1998) - [j20]Lawrence O. Hall, Petter Lande:
Generation of Fuzzy Rules from Decision Trees. J. Adv. Comput. Intell. Intell. Informatics 2(4): 128-133 (1998) - [j19]Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert P. Velthuizen, F. Reed Murtagh, Martin L. Silbiger:
Automatic Tumor Segmentation Using Knowledge-Based Clustering. IEEE Trans. Medical Imaging 17(2): 187-201 (1998) - [c17]Sanjukta Bhanja, Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof, Jeffrey P. Krischer:
A Qualitative Expert System for Clinical Trial Assignment. FLAIRS 1998: 84-88 - [c16]Ibrahim Burak Özyurt, Aydin K. Sunol, Lawrence O. Hall:
Chemical Process Fault Diagnosis Using Kernel Retrofitted Fuzzy Genetic Algorithm Based Learner (FGAL) with a Hidden Markov Model. IEA/AIE (Vol. 1) 1998: 190-199 - [c15]Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert Paul Velthuizen, F. Reed Murtagh, Martin L. Silbiger:
Automatic brain tumor segmentation. Medical Imaging: Image Processing 1998 - [c14]Lynn M. Fletcher-Heath, Lawrence O. Hall, Dmitry B. Goldgof:
Segmenting nonenhancing brain tumors from normal tissues in magnetic resonance images. Medical Imaging: Image Processing 1998 - [c13]Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer:
Decision tree learning on very large data sets. SMC 1998: 2579-2584 - 1997
- [j18]Lawrence O. Hall:
Confirmation and denial as plausible modes of fuzzy inference. Fuzzy Sets Syst. 86(3): 307-309 (1997) - [j17]Robert P. Velthuizen, Lawrence O. Hall, Laurence P. Clarke, Martin L. Silbiger:
An investigation of mountain method clustering for large data sets. Pattern Recognit. 30(7): 1121-1135 (1997) - [c12]Jie Lei, Lawrence O. Hall:
Speaker recognition with a self-configuring neural network. ICNN 1997: 2351-2354 - 1996
- [j16]Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall:
Encoding of Production Rules in a Connectionist Network. J. Intell. Fuzzy Syst. 4(1): 1-18 (1996) - [j15]Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke:
Partially supervised clustering for image segmentation. Pattern Recognit. 29(5): 859-871 (1996) - [j14]Lawrence O. Hall, Richard J. Hathaway:
Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review]. IEEE Trans. Fuzzy Syst. 4(1): 82 (1996) - [j13]Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke, Martin L. Silbiger, John A. Arrington, F. Reed Murtagh:
Validity-guided (re)clustering with applications to image segmentation. IEEE Trans. Fuzzy Syst. 4(2): 112-123 (1996) - [c11]Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof:
Knowledge-based classification of CZCS images and monitoring of red tides off the west Florida shelf. ICPR 1996: 452-456 - [c10]Robert Paul Velthuizen, Lawrence O. Hall, Laurence P. Clarke:
Novel approach to feature extraction for MRI segmentation. Medical Imaging: Image Processing 1996 - 1995
- [j12]Kevin S. Woods, Diane J. Cook, Lawrence O. Hall, Kevin W. Bowyer, Louise Stark:
Learning Membership Functions in a Function-Based Object Recognition System. J. Artif. Intell. Res. 3: 187-222 (1995) - [c9]Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Martin L. Silbiger:
Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors. Fuzzy Logic in Artificial Intelligence 1995: 167-181 - [i1]Kevin S. Woods, Diane J. Cook, Lawrence O. Hall, Kevin W. Bowyer, Louise Stark:
Learning Membership Functions in a Function-Based Object Recognition System. CoRR abs/cs/9510103 (1995) - 1994
- [c8]James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid:
Genetic Algorithm Guided Clustering. International Conference on Evolutionary Computation 1994: 34-39 - [c7]Matthew C. Clark, Lawrence O. Hall, Chunlin Li, Dmitry B. Goldgof:
Knowledge based (re-)clustering. ICPR (2) 1994: 245-250 - 1993
- [j11]Diane J. Cook, Lawrence O. Hall, Willard Thomas:
Parallel search using transformation-ordering Lterative-Deepening-A. Int. J. Intell. Syst. 8(8): 855-873 (1993) - [j10]Louise Stark, Lawrence O. Hall, Kevin W. Bowyer:
Methods for Combination of Evidence in Function-Based 3-D Object Recognition. Int. J. Pattern Recognit. Artif. Intell. 7(3): 573-594 (1993) - [j9]Steve G. Romaniuk, Lawrence O. Hall:
SC-net: A hybrid connectionist, symbolic system. Inf. Sci. 71(3): 223-268 (1993) - [j8]Steve G. Romaniuk, Lawrence O. Hall:
Divide and Conquer Neural Networks. Neural Networks 6(8): 1105-1116 (1993) - [j7]Chunlin Li, Dmitry B. Goldgof, Lawrence O. Hall:
Knowledge-based classification and tissue labeling of MR images of human brain. IEEE Trans. Medical Imaging 12(4): 740-750 (1993) - [c6]Kevin S. Woods, Diane J. Cook, Lawrence O. Hall, Louise Stark, Kevin W. Bowyer:
Learning Fuzzy Membership Functions in a Function-Based Object Recognition System. Fuzzy Logic in Artificial Intelligence 1993: 77-96 - 1992
- [j6]Lawrence O. Hall:
Experimental results from parallel backward-chained expert systems. Int. J. Intell. Syst. 7(6): 505-512 (1992) - [j5]Lawrence O. Hall:
Backpac: A parallel goal-driven reasoning system. Inf. Sci. 62(1-2): 169-182 (1992) - [j4]Lawrence O. Hall, Amine Bensaid, Laurence P. Clarke, Robert P. Velthuizen, Martin L. Silbiger, James C. Bezdek:
A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Trans. Neural Networks 3(5): 672-682 (1992) - [c5]Katsuaki Sanou, Steve G. Romaniuk, Lawrence O. Hall:
A Hybrid/Symbolic Connectionist Production System. ICTAI 1992: 44-53 - 1990
- [c4]Lawrence O. Hall, Steve G. Romaniuk:
A Hybrid Connectionist, Symbolic Learning System. AAAI 1990: 783-788
1980 – 1989
- 1988
- [j3]Lawrence O. Hall:
On the choice of ply operators for modus ponens generation in fuzzy intelligent systems. Int. J. Approx. Reason. 2(2): 101 (1988) - [j2]Lawrence O. Hall, Menahem Friedman, Abraham Kandel:
On the validation and testing of fuzzy expert systems. IEEE Trans. Syst. Man Cybern. 18(6): 1023-1027 (1988) - 1986
- [b1]Lawrence O'Higgins Hall:
A Methodological Approach to a Re-Usable fuzzy Expert System. Florida State University, Tallahassee, USA, 1986 - [j1]Lawrence O. Hall, Sue Szabo, Abraham Kandel:
On the derivation of memberships for fuzzy sets in expert systems. Inf. Sci. 40(1): 39-52 (1986) - [c3]Lawrence O. Hall, Wyllis Bandler, Abraham Kandel:
New Concepts for Expert Systems Capable of Intelligence in an Imprecise Environment. IAS 1986: 246-250 - [c2]Lawrence O. Hall, Abraham Kandel:
Languages for expert system building: a comparison. SIGSMALL 1986: 157-160 - 1985
- [c1]Lawrence O. Hall, Wyllis Bandler:
Relational Knowledge Acquisition. CAIA 1985: 509-513
Coauthor Index
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