Donald E. Brown

Orcid: 0000-0002-9140-2632

According to our database1, Donald E. Brown authored at least 164 papers between 1975 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Computer vision digitization of smartphone images of anesthesia paper health records from low-middle income countries.
BMC Bioinform., December, 2024

Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning.
Data Min. Knowl. Discov., May, 2024

GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation.
CoRR, 2024

ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation.
CoRR, 2024

Automatic Report Generation for Histopathology Images Using Pre-Trained Vision Transformers and BERT.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation.
Proceedings of the 2024 7th International Conference on Machine Vision and Applications, 2024

2023
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers.
CoRR, 2023

The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning.
CoRR, 2023

Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C.
Proceedings of the International Conference on Machine Learning and Applications, 2023

A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Uncertainty Quantification for Eosinophil Segmentation.
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

Classifying Mathematics Teacher Questions to Support Mathematical Discourse.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks.
Proceedings of the Annual Computer Security Applications Conference, 2023

2022

Using Machine Learning to Identify Organ System Specific Limitations to Exercise via Cardiopulmonary Exercise Testing.
IEEE J. Biomed. Health Informatics, 2022

Functional Data Analysis for Predicting Pediatric Failure to Complete Ten Brief Exercise Bouts.
IEEE J. Biomed. Health Informatics, 2022

The iTHRIV Commons: a cross-institution information and health research data sharing architecture and web application.
J. Am. Medical Informatics Assoc., 2022

Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data.
BioData Min., 2022

Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images.
Proceedings of the Machine Learning for Healthcare Conference, 2022

MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Human-in-the-Loop Data Collection and Evaluation for Improving Mathematical Conversations.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning.
Frontiers Artif. Intell., 2021

Improving mathematical questioning in teacher training.
CoRR, 2021

Evaluation of mathematical questioning strategies using data collected through weak supervision.
CoRR, 2021

Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos.
CoRR, 2021

Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos.
CoRR, 2021

Toward Knowledge Discovery Framework for Data Science Job Market in the United States.
CoRR, 2021

Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video.
CoRR, 2021

Embeddings of genomic region sets capture rich biological associations in lower dimensions.
Bioinform., 2021

Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

CoMixMatch: Semi-supervised Detection of Pancreatic Cancer on Noisy, Gigapixel Histology Images.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

HistoTransfer: Understanding Transfer Learning for Histopathology.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

Combining Multiple Annotations to Count Cells in 3D Cardiovascular Immunofluorescent Images.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents.
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, 2021

2020
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach.
Inf., 2020

Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education.
CoRR, 2020

Gender Detection on Social Networks using Ensemble Deep Learning.
CoRR, 2020

Dialogue-based simulation for cultural awareness training.
CoRR, 2020

A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease.
Artif. Intell. Medicine, 2020

Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group.
Proceedings of the Intelligent Computing, 2020

Screening for Barrett's Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Self-attentive Adversarial Stain Normalization.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Semi-Supervised Classification of Noisy, Gigapixel Histology Images.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
The Evaluation of a Serious Game to Improve Cross-Cultural Competence.
IEEE Trans. Learn. Technol., 2019

Text Classification Algorithms: A Survey.
Inf., 2019

Self-Attentive Adversarial Stain Normalization.
CoRR, 2019

Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks.
CoRR, 2019

MobiAmbulance: Optimal Scheduling of Emergency Vehicles in Catastrophic Situations.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

From Videos to URLs: A Multi-Browser Guide to Extract User's Behavior with Optical Character Recognition.
Proceedings of the Advances in Computer Vision, 2019

CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
A transient stochastic simulation-optimization model for operational fuel planning in-theater.
Eur. J. Oper. Res., 2018

An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL).
CoRR, 2018

Exploring gaze Behavior to Assess Performance in Digital Game-based Learning Systems.
Proceedings of the 2018 Winter Simulation Conference, 2018

Privacy Preserving Distributed Deep Learning and Its Application in Credit Card Fraud Detection.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Differentially Private Hypothesis Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Analysis of Railway Accidents' Narratives Using Deep Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

RMDL: Random Multimodel Deep Learning for Classification.
Proceedings of the 2nd International Conference on Information System and Data Mining, 2018

Predicting Violent Behavior using Language Agnostic Models.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Comparing the Performance of an Immersive Virtual Reality and Traditional Desktop Cultural Game.
Proceedings of the 2nd International Conference on Computer-Human Interaction Research and Applications, 2018

Longitudinal Analysis of Linguistic flexibility of Value-motivated Groups.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Hyperparameter Optimization for Predicting the Tolerance Level of Religious Discourse.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

Cultural Dimension Theory Based Simulations for US Army Personnel.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

HDLTex: Hierarchical Deep Learning for Text Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission.
Proceedings of the AMIA 2017, 2017

2016
Text Mining the Contributors to Rail Accidents.
IEEE Trans. Intell. Transp. Syst., 2016

PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers.
CoRR, 2016

Extracting Addresses from News Reports Using Conditional Random Fields.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Preconditions and multilevel models in studying post-surgical adverse outcomes.
Netw. Model. Anal. Health Informatics Bioinform., 2015

Strategic Threat Probabilities with Hierarchical Spatiotemporal Predictions.
IEEE Intell. Syst., 2015

Predictive Analytics: Predictive Modeling at the Micro Level.
IEEE Intell. Syst., 2015

Predictive [Guest editors' introduction].
IEEE Intell. Syst., 2015

Predicting Behavior.
IEEE Intell. Syst., 2015

Brill tagging on the Micron Automata Processor.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Predicting Pedestrian Injury Metrics Based on Vehicle Front-End Design.
Proceedings of the Internet of Vehicles - Safe and Intelligent Mobility, 2015

Regular expression acceleration on the micron automata processor: Brill tagging as a case study.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Interdisciplinary Research: Pathway to Meaningful Publications.
Proceedings of the A Guide to Publishing for Academics, 2015

2014
Simulation optimization of police patrol districting plans using response surfaces.
Simul., 2014

Simulation optimization of police patrol district design using an adjusted simulated annealing approach.
Proceedings of the 2014 Spring Simulation Multiconference, 2014

Measures of Entropy and Change Point Analysis as Predictors of Post-Surgical Adverse Outcomes.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013
Police patrol districting method and simulation evaluation using agent-based model & GIS.
Secur. Informatics, 2013

A comparison of evaluation methods for police patrol district designs.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Using discrete event simulation to evaluate time series forecasting methods for security applications.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Geographic Profiling of Criminal Groups for Military Cordon and Search.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Scalable and Locally Applicable Measures of Treatment Variation That Use Hospital Billing Data.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Random Forests on Ubiquitous Data for Heart Failure 30-Day Readmissions Prediction.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
The spatio-temporal modeling for criminal incidents.
Secur. Informatics, 2012

Using Temporal Indicator Functions with Generalized Linear Models for Spatial-Temporal Event Prediction.
Proceedings of the Conference on Systems Engineering Research, 2012

Evaluating infrastructure resource allocation in support of regional stability.
Int. J. Syst. Syst. Eng., 2012

Simulating spatial-temporal pulse events in criminal site selection problems.
Proceedings of the 2012 Spring Simulation Multiconference, 2012

Automatic Crime Prediction Using Events Extracted from Twitter Posts.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

Investigating a Bayesian Hierarchical Framework for Feature-Space Modeling of Criminal Site-Selection Problems.
Proceedings of the 23rd Midwest Artificial Intelligence and Cognitive Science Conference 2012, 2012

Police patrol district design using agent-based simulation and GIS.
Proceedings of the 2012 IEEE International Conference on Intelligence and Security Informatics, 2012

Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information.
Proceedings of the 2012 IEEE International Conference on Intelligence and Security Informatics, 2012

Automatic Formalization of Clinical Practice Guidelines.
Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012

2011
Future trends in business analytics and optimization.
Intell. Data Anal., 2011

The spatio-temporal generalized additive model for criminal incidents.
Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011

2009
A Statistical Threat Assessment.
IEEE Trans. Syst. Man Cybern. Part A, 2009

2007
Global Optimization With Multivariate Adaptive Regression Splines.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Discrete choice analysis of spatial attack sites.
Inf. Syst. E Bus. Manag., 2007

Detecting local regions of change in high-dimensional criminal or terrorist point processes.
Comput. Stat. Data Anal., 2007

2006
Spatial analysis with preference specification of latent decision makers for criminal event prediction.
Decis. Support Syst., 2006

An outlier-based data association method for linking criminal incidents.
Decis. Support Syst., 2006

2005
Health-status monitoring through analysis of behavioral patterns.
IEEE Trans. Syst. Man Cybern. Part A, 2005

First responder information flow simulation: a tool for technology assessment.
Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005

Assessing casualty densities based on sensor reports pursuant to a large-scale disaster.
Proceedings of the IEEE International Conference on Systems, 2005

A Rule-Based Approach to the Analysis of Elders' Activity Data: Detection of Health and Possible Emergency Conditions.
Proceedings of the Caring Machines: AI in Eldercare, 2005

2004
A new point process transition density model for space-time event prediction.
IEEE Trans. Syst. Man Cybern. Part C, 2004

A Generalized Multiple Response Surface Methodology for Complex Computer Simulation Applications.
Proceedings of the 36th conference on Winter simulation, 2004

Simulated Annealing for Selection of Experimental Regions in Response Surface Methodology Applications.
Proceedings of the 36th conference on Winter simulation, 2004

Using Agent-based Modeling and Human-in-the-Loop Simulation to Analyze Army Acquisition Programs.
Proceedings of the 36th conference on Winter simulation, 2004

Spatial Forecast Methods for Terrorist Events in Urban Environments.
Proceedings of the Intelligence and Security Informatics, 2004

2003
A decision model for spatial site selection by criminals: a foundation for law enforcement decision support.
IEEE Trans. Syst. Man Cybern. Part C, 2003

Data association methods with applications to law enforcement.
Decis. Support Syst., 2003

Geographic profiling with event prediction.
Proceedings of the IEEE International Conference on Systems, 2003

Decision Based Spatial Analysis of Crime.
Proceedings of the Intelligence and Security Informatics, First NSF/NIJ Symposium, 2003

Criminal Incident Data Association Using the OLAP Technology.
Proceedings of the Intelligence and Security Informatics, First NSF/NIJ Symposium, 2003

2002
Using Data Mining to Discover the Preferences of Computer Criminals.
Adv. Comput., 2002

Mining human failure dynamics from accident data using logistic regression and decision trees.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics: Bridging the Digital Divide, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002

Design Approach for Integration of Demographic, Biologic, and Clinical Data.
Proceedings of the AMIA 2002, 2002

2001
Using clustering to discover the preferences of computer criminals .
IEEE Trans. Syst. Man Cybern. Part A, 2001

Using cluster specific salience weighting to determine the preferences of agents for multi-agent simulations.
Proceedings of the IEEE International Conference on Systems, 2001

Data mining time series with applications to crime analysis.
Proceedings of the IEEE International Conference on Systems, 2001

Mining Preferences from Spatial-Temporal Data.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Supporting Verification of the Comprehensive Nuclear Test Ban Treaty through a Persistent Conversation Interface.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

2000
A comparison of systems engineering programs in the United States.
IEEE Trans. Syst. Man Cybern. Part C, 2000

The use of information technology for oil spill planning.
Int. J. Technol. Manag., 2000

Interactive Analysis of Computer Crimes.
Computer, 2000

Using a multi-agent model to predict both physical and cyber criminal activity.
Proceedings of the IEEE International Conference on Systems, 2000

Intelligent decision support systems.
Proceedings of the IEEE International Conference on Systems, 2000

1998
Static data association with a terrain-based prior density.
IEEE Trans. Syst. Man Cybern. Part C, 1998

Tracking multiple objects in terrain.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Spatial-temporal event prediction: a new model.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

The Regional Crime Analysis Program (ReCAP): a framework for mining data to catch criminals.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
A Classification Approach to Boolean Query Reformulation.
J. Am. Soc. Inf. Sci., 1997

1996
Classification trees with optimal multivariate decision nodes.
Pattern Recognit. Lett., 1996

Parallel genetic algorithms with local search.
Comput. Oper. Res., 1996

1995
Reliability Estimation During Prototyping of Knowledge-Based Systems.
IEEE Trans. Knowl. Data Eng., 1995

1994
A polynomial network for predicting temperature distributions.
IEEE Trans. Neural Networks, 1994

1993
A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems.
Pattern Recognit., 1993

1992
Fast generic selection of features for neural network classifiers.
IEEE Trans. Neural Networks, 1992

A practical application of simulated annealing to clustering.
Pattern Recognit., 1992

Uncertainty Management with Imprecise Knowledge with Application to Design.
J. Autom. Reason., 1992

Asset: A simulation test bed for data association algorithms.
Comput. Oper. Res., 1992

1991
Clustering of homogeneous subsets.
Pattern Recognit. Lett., 1991

A parallel heuristic for quadratic assignment problems.
Comput. Oper. Res., 1991

A System for Learning Routes and Schedules with Genetic Algorithms.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990
A Neural Network Implementation of a Data Association Algorithm.
INFORMS J. Comput., 1990

1989
Knowledge-based computer-aided design of materials handling systems.
IEEE Trans. Syst. Man Cybern., 1989

A Parallel Genetic Heuristic for the Quadratic Assignment Problem.
Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

1988
Uncertainty Management in Intelligent Design Aiding Systems.
Proceedings of the First International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, IEA/AIE 1988, June 1-3, 1988, Tullahoma, TN, USA. ACM, 1988, 1988

1987
An Expert System Approach to Boiler Design.
IEEE Trans. Syst. Man Cybern., 1987

A Decision Support System for Reliable Software Development.
IEEE Trans. Syst. Man Cybern., 1987

An information theoretic interface for a stochastic model management system.
Decis. Support Syst., 1987

1986
Conflicting information integration for decision support.
Decis. Support Syst., 1986

1975
A High Throughput Packet-Switched Network Technique Without Message Reassembly.
IEEE Trans. Commun., 1975


  Loading...