A High Throughput Packet-Switched Network Technique Without Message Reassembly. - Roy Daniel Rosner; Raymond H. Bittel; Donald E. Brown (IEEE Trans. Commun., 1975)

Conflicting information integration for decision support. - Donald E. Brown; Bernard G. Duren (Decis. Support Syst., 1986)

An information theoretic interface for a stochastic model management system. - Donald E. Brown (Decis. Support Syst., 1987)

A Decision Support System for Reliable Software Development. - Donald E. Brown (IEEE Trans. Syst. Man Cybern., 1987)

An Expert System Approach to Boiler Design. - Donald E. Brown; Chelsea C. White III (IEEE Trans. Syst. Man Cybern., 1987)

Uncertainty Management in Intelligent Design Aiding Systems. - Donald E. Brown; Paula Gabbert (IEA/AIE (Vol. 1), 1988)

A Parallel Genetic Heuristic for the Quadratic Assignment Problem. - Donald E. Brown; Christopher L. Huntley; Andrew R. Spillane (ICGA, 1989)

Knowledge-based computer-aided design of materials handling systems. - Paula Gabbert; Donald E. Brown (IEEE Trans. Syst. Man Cybern., 1989)

A Neural Network Implementation of a Data Association Algorithm. - Allen L. Barker; Donald E. Brown; Worthy N. Martin (INFORMS J. Comput., 1990)

A System for Learning Routes and Schedules with Genetic Algorithms. - Paula Gabbert; Donald E. Brown; Christopher L. Huntley; Bernard P. Markowicz; David E. Sappington (ICGA, 1991)

A parallel heuristic for quadratic assignment problems. - Christopher L. Huntley; Donald E. Brown (Comput. Oper. Res., 1991)

Clustering of homogeneous subsets. - Donald E. Brown; Christopher L. Huntley; Paul J. Garvey (Pattern Recognit. Lett., 1991)

Asset: A simulation test bed for data association algorithms. - Donald E. Brown; Clarence Louis Pittard; Andrew R. Spillane (Comput. Oper. Res., 1992)

Uncertainty Management with Imprecise Knowledge with Application to Design. - Donald E. Brown; Wendy J. Markert (J. Autom. Reason., 1992)

A practical application of simulated annealing to clustering. - Donald E. Brown; Christopher L. Huntley (Pattern Recognit., 1992)

Fast generic selection of features for neural network classifiers. - Frank Z. Brill; Donald E. Brown; Worthy N. Martin (IEEE Trans. Neural Networks, 1992)

A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems. - Donald E. Brown; Vincent Corruble; Clarence Louis Pittard (Pattern Recognit., 1993)

A polynomial network for predicting temperature distributions. - George E. Fulcher; Donald E. Brown (IEEE Trans. Neural Networks, 1994)

Reliability Estimation During Prototyping of Knowledge-Based Systems. - Donald E. Brown; James J. Pomykalski (IEEE Trans. Knowl. Data Eng., 1995)

Parallel genetic algorithms with local search. - Christopher L. Huntley; Donald E. Brown (Comput. Oper. Res., 1996)

Classification trees with optimal multivariate decision nodes. - Donald E. Brown; Clarence Louis Pittard; Han Park (Pattern Recognit. Lett., 1996)

A Classification Approach to Boolean Query Reformulation. - James C. French; Donald E. Brown; Nam-Ho Kim (J. Am. Soc. Inf. Sci., 1997)

The Regional Crime Analysis Program (ReCAP): a framework for mining data to catch criminals. - Donald E. Brown (SMC, 1998)

Spatial-temporal event prediction: a new model. - Hua Liu; Donald E. Brown (SMC, 1998)

Tracking multiple objects in terrain. - Edward Sobiesk; John A. Hamilton Jr.; John A. Marin; Donald E. Brown; Maria L. Gini (SMC, 1998)

Static data association with a terrain-based prior density. - Allen L. Barker; Donald E. Brown; Worthy N. Martin (IEEE Trans. Syst. Man Cybern. Part C, 1998)

Intelligent decision support systems. - Stephanie A. Guerlain; Donald E. Brown; Christina Mastrangelo (SMC, 2000)

Using a multi-agent model to predict both physical and cyber criminal activity. - Louise F. Gunderson; Donald E. Brown (SMC, 2000)

Interactive Analysis of Computer Crimes. - Donald E. Brown; Louise F. Gunderson; Marc H. Evans (Computer, 2000)

The use of information technology for oil spill planning. - Donald E. Brown; Antonia de Medinaceli (Int. J. Technol. Manag., 2000)

A comparison of systems engineering programs in the United States. - Donald E. Brown; William T. Scherer (IEEE Trans. Syst. Man Cybern. Part C, 2000)

Supporting Verification of the Comprehensive Nuclear Test Ban Treaty through a Persistent Conversation Interface. - Stephanie A. Guerlain; Donald E. Brown; John Green; Brian Hashemi; Robert Rauschenberg; Christopher Stacy; Roger Mason; Jane Bohlin (HICSS, 2001)

Mining Preferences from Spatial-Temporal Data. - Donald E. Brown; Hua Liu; Yifei Xue (SDM, 2001)

Data mining time series with applications to crime analysis. - Donald E. Brown; Rosemary B. Oxford (SMC, 2001)

Using cluster specific salience weighting to determine the preferences of agents for multi-agent simulations. - Louise F. Gunderson; Donald E. Brown (SMC, 2001)

Using clustering to discover the preferences of computer criminals . - Donald E. Brown; Louise F. Gunderson (IEEE Trans. Syst. Man Cybern. Part A, 2001)

Design Approach for Integration of Demographic, Biologic, and Clinical Data. - Jason Dalton; Steve Tropello; Sandra Pelletier; Jason A. Lyman; Bruce P. Dembling; Ken Scully; William A. Knaus; Donald E. Brown (AMIA, 2002)

Mining human failure dynamics from accident data using logistic regression and decision trees. - Donald E. Brown; Justin K. Stile; Louise F. Gunderson; Ted C. Giras (SMC, 2002)

Using Data Mining to Discover the Preferences of Computer Criminals. - Donald E. Brown; Louise F. Gunderson (Adv. Comput., 2002)

Criminal Incident Data Association Using the OLAP Technology. - Song Lin; Donald E. Brown (ISI, 2003)

Decision Based Spatial Analysis of Crime. - Yifei Xue; Donald E. Brown (ISI, 2003)

Geographic profiling with event prediction. - Justin K. Stile; Donald E. Brown (SMC, 2003)

Data association methods with applications to law enforcement. - Donald E. Brown; Stephen Hagen (Decis. Support Syst., 2003)

A decision model for spatial site selection by criminals: a foundation for law enforcement decision support. - Yifei Xue; Donald E. Brown (IEEE Trans. Syst. Man Cybern. Part C, 2003)

Spatial Forecast Methods for Terrorist Events in Urban Environments. - Donald E. Brown; Jason Dalton; Heidi Hoyle (ISI, 2004)

Using Agent-based Modeling and Human-in-the-Loop Simulation to Analyze Army Acquisition Programs. - Patrick M. Downes; Michael J. Kwinn Jr.; Donald E. Brown (WSC, 2004)

Simulated Annealing for Selection of Experimental Regions in Response Surface Methodology Applications. - Jeffrey B. Schamburg; Donald E. Brown (WSC, 2004)

A Generalized Multiple Response Surface Methodology for Complex Computer Simulation Applications. - Jeffrey B. Schamburg; Donald E. Brown (WSC, 2004)

A new point process transition density model for space-time event prediction. - Hua Liu; Donald E. Brown (IEEE Trans. Syst. Man Cybern. Part C, 2004)

A Rule-Based Approach to the Analysis of Elders' Activity Data: Detection of Health and Possible Emergency Conditions. - Siddharth Dalal; Majd Alwan; Reza Seifrafi; Steven W. Kell; Donald E. Brown (AAAI Fall Symposium: Caring Machines, 2005)

Assessing casualty densities based on sensor reports pursuant to a large-scale disaster. - C. Donald Robinson; Donald E. Brown (SMC, 2005)

First responder information flow simulation: a tool for technology assessment. - C. Donald Robinson; Donald E. Brown (WSC, 2005)

Health-status monitoring through analysis of behavioral patterns. - T. S. Barger; Donald E. Brown; Majd Alwan (IEEE Trans. Syst. Man Cybern. Part A, 2005)

An outlier-based data association method for linking criminal incidents. - Song Lin; Donald E. Brown (Decis. Support Syst., 2006)

Spatial analysis with preference specification of latent decision makers for criminal event prediction. - Yifei Xue; Donald E. Brown (Decis. Support Syst., 2006)

Detecting local regions of change in high-dimensional criminal or terrorist point processes. - Michael D. Porter; Donald E. Brown (Comput. Stat. Data Anal., 2007)

Discrete choice analysis of spatial attack sites. - Michael A. Smith; Donald E. Brown (Inf. Syst. E Bus. Manag., 2007)

Global Optimization With Multivariate Adaptive Regression Splines. - Scott T. Crino; Donald E. Brown (IEEE Trans. Syst. Man Cybern. Part B, 2007)

A Statistical Threat Assessment. - Samuel H. Huddleston; Donald E. Brown (IEEE Trans. Syst. Man Cybern. Part A, 2009)

The spatio-temporal generalized additive model for criminal incidents. - Xiaofeng Wang; Donald E. Brown (ISI, 2011)

Future trends in business analytics and optimization. - Donald E. Brown; Fazel Famili; Gerhard Paass; Kate Smith-Miles; Lyn C. Thomas; Richard Weber 002; Ricardo Baeza-Yates; Cristián Bravo; Gaston L'Huillier; Sebastián Maldonado (Intell. Data Anal., 2011)

Automatic Formalization of Clinical Practice Guidelines. - Matthew S. Gerber; Donald E. Brown; James H. Harrison (AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text, 2012)

Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information. - Xiaofeng Wang; Donald E. Brown; Matthew S. Gerber (ISI, 2012)

Police patrol district design using agent-based simulation and GIS. - Yue Zhang; Donald E. Brown (ISI, 2012)

Investigating a Bayesian Hierarchical Framework for Feature-Space Modeling of Criminal Site-Selection Problems. - Jon Fox; Samuel H. Huddleston; Matthew S. Gerber; Donald E. Brown (MAICS, 2012)

Automatic Crime Prediction Using Events Extracted from Twitter Posts. - Xiaofeng Wang; Matthew S. Gerber; Donald E. Brown (SBP, 2012)

Simulating spatial-temporal pulse events in criminal site selection problems. - Jon Fox; Gerard P. Learmonth; Donald E. Brown (SpringSim (ADS), 2012)

Evaluating infrastructure resource allocation in support of regional stability. - Edward B. Teague; Thomas R. Warner; Donald E. Brown (Int. J. Syst. Syst. Eng., 2012)

Using Temporal Indicator Functions with Generalized Linear Models for Spatial-Temporal Event Prediction. - Jon Fox; Donald E. Brown (CSER, 2012)

The spatio-temporal modeling for criminal incidents. - Xiaofeng Wang; Donald E. Brown (Secur. Informatics, 2012)

Random Forests on Ubiquitous Data for Heart Failure 30-Day Readmissions Prediction. - Michael A. Vedomske; Donald E. Brown; James H. Harrison (ICMLA (2), 2013)

Scalable and Locally Applicable Measures of Treatment Variation That Use Hospital Billing Data. - Michael A. Vedomske; Matthew S. Gerber; Donald E. Brown; James H. Harrison (ICMLA (2), 2013)

Geographic Profiling of Criminal Groups for Military Cordon and Search. - Samuel H. Huddleston; Matthew S. Gerber; Donald E. Brown (SBP, 2013)

Using discrete event simulation to evaluate time series forecasting methods for security applications. - Samuel H. Huddleston; Donald E. Brown (WSC, 2013)

A comparison of evaluation methods for police patrol district designs. - Yue Zhang; Samuel H. Huddleston; Donald E. Brown; Gerard P. Learmonth (WSC, 2013)

Police patrol districting method and simulation evaluation using agent-based model & GIS. - Yue Zhang; Donald E. Brown (Secur. Informatics, 2013)

Measures of Entropy and Change Point Analysis as Predictors of Post-Surgical Adverse Outcomes. - Zachary Terner; Timothy Carroll; Donald E. Brown (BIBE, 2014)

Simulation optimization of police patrol district design using an adjusted simulated annealing approach. - Yue Zhang; Donald E. Brown (SpringSim (TMS-DEVS), 2014)

Simulation optimization of police patrol districting plans using response surfaces. - Yue Zhang; Donald E. Brown (Simul., 2014)

Interdisciplinary Research: Pathway to Meaningful Publications. - Donald E. Brown (A Guide to Publishing for Academics, 2015)

Regular expression acceleration on the micron automata processor: Brill tagging as a case study. - Keira Zhou; Jack Wadden; Jeffrey J. Fox; Ke Wang 011; Donald E. Brown; Kevin Skadron (IEEE BigData, 2015)

Predicting Pedestrian Injury Metrics Based on Vehicle Front-End Design. - Benjamin J. Lobo; Ruosi Lin; Donald E. Brown; Taewung Kim; Matthew B. Panzer (IOV, 2015)

Brill tagging on the Micron Automata Processor. - Keira Zhou; Jeffrey J. Fox; Ke Wang 011; Donald E. Brown; Kevin Skadron (ICSC, 2015)

Predicting Behavior. - Ahmed Abbasi; Raymond Y. K. Lau; Donald E. Brown (IEEE Intell. Syst., 2015)

Predictive [Guest editors' introduction]. - Donald E. Brown; Ahmed Abbasi; Raymond Y. K. Lau (IEEE Intell. Syst., 2015)

Predictive Analytics: Predictive Modeling at the Micro Level. - Donald E. Brown; Ahmed Abbasi; Raymond Y. K. Lau (IEEE Intell. Syst., 2015)

Strategic Threat Probabilities with Hierarchical Spatiotemporal Predictions. - Jennifer L. Geffre; Donald E. Brown (IEEE Intell. Syst., 2015)

Preconditions and multilevel models in studying post-surgical adverse outcomes. - Zachary Terner; Donald E. Brown (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Extracting Addresses from News Reports Using Conditional Random Fields. - Donald E. Brown; Xiaoqian Liu (ICMLA, 2016)

PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers. - Wei Xie; Yang Wang; Steven M. Boker; Donald E. Brown (CoRR, 2016)

Text Mining the Contributors to Rail Accidents. - Donald E. Brown (IEEE Trans. Intell. Transp. Syst., 2016)

Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission. - Julia Lensing; Ketki Vilankar; Hyojung Kang; Donald E. Brown; Amy Mathers; Laura E. Barnes (AMIA, 2017)

HDLTex: Hierarchical Deep Learning for Text Classification. - Kamran Kowsari; Donald E. Brown; Mojtaba Heidarysafa; Kiana Jafari Meimandi; Matthew S. Gerber; Laura E. Barnes (ICMLA, 2017)

Cultural Dimension Theory Based Simulations for US Army Personnel. - Brian An; Donald E. Brown; Riannon M. Hazell; Peter J. Grazaitis (SBP-BRiMS, 2017)

Hyperparameter Optimization for Predicting the Tolerance Level of Religious Discourse. - Donald E. Brown; Hope McIntyre; Peter J. Grazaitis; Riannon M. Hazell; Nicholas Venuti (SBP-BRiMS, 2017)

Longitudinal Analysis of Linguistic flexibility of Value-motivated Groups. - Mohammad Al Boni; Seth Green; Megan Stiles; Katherine Harton; Donald E. Brown (IEEE BigData, 2018)

Comparing the Performance of an Immersive Virtual Reality and Traditional Desktop Cultural Game. - Brian An; Forrest Matteo; Matt Epstein; Donald E. Brown (CHIRA, 2018)

Predicting Violent Behavior using Language Agnostic Models. - Yingjie Liu; Gregory Wert; Benjamin Greenawald; Mohammad Al Boni; Donald E. Brown (KDIR, 2018)

RMDL: Random Multimodel Deep Learning for Classification. - Kamran Kowsari; Mojtaba Heidarysafa; Donald E. Brown; Kiana Jafari Meimandi; Laura E. Barnes (ICISDM, 2018)

Analysis of Railway Accidents' Narratives Using Deep Learning. - Mojtaba Heidarysafa; Kamran Kowsari; Laura E. Barnes; Donald E. Brown (ICMLA, 2018)

Differentially Private Hypothesis Transfer Learning. - Yang Wang; Quanquan Gu; Donald E. Brown (ECML/PKDD (2), 2018)

Privacy Preserving Distributed Deep Learning and Its Application in Credit Card Fraud Detection. - Yang Wang; Stephen C. Adams; Peter A. Beling; Steven Greenspan; Sridhar Rajagopalan; Maria C. Velez-Rojas; Serge Mankovski; Steven M. Boker; Donald E. Brown (TrustCom/BigDataSE, 2018)

Exploring gaze Behavior to Assess Performance in Digital Game-based Learning Systems. - Brian An; Inki Kim; Erfan Pakdamanian; Donald E. Brown (WSC, 2018)

An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL). - Mojtaba Heidarysafa; Kamran Kowsari; Donald E. Brown; Kiana Jafari Meimandi; Laura E. Barnes (CoRR, 2018)

A transient stochastic simulation-optimization model for operational fuel planning in-theater. - Benjamin J. Lobo; Donald E. Brown; Matthew S. Gerber; Peter J. Grazaitis (Eur. J. Oper. Res., 2018)

Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease. - Aman Shrivastava; Karan Kant; Saurav Sengupta; Sung-Jun Kang; Marium N. Khan; S. Asad Ali; Sean R. Moore; Beatrice C. Amadi; Paul Kelly; Donald E. Brown; Sana Syed (BHI, 2019)

CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks. - Rasoul Sali; Lubaina Ehsan; Kamran Kowsari; Marium N. Khan; Christopher A. Moskaluk; Sana Syed; Donald E. Brown (BIBM, 2019)

From Videos to URLs: A Multi-Browser Guide to Extract User's Behavior with Optical Character Recognition. - Mojtaba Heidarysafa; James Reed; Kamran Kowsari; April Celeste R. Leviton; Janet I. Warren; Donald E. Brown (CVC (1), 2019)

MobiAmbulance: Optimal Scheduling of Emergency Vehicles in Catastrophic Situations. - Li Yan 004; Shohaib Mahmud; Haiying Shen; Natasha Zhang Foutz; Donald E. Brown; Wie Yusuf; Derek Loftis; Lucas Lyons; Jonathan L. Goodall; Joshua Anton (ICCCN, 2019)

Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks. - Kamran Kowsari; Rasoul Sali; Marium N. Khan; William Adorno; S. Asad Ali; Sean R. Moore; Beatrice C. Amadi; Paul Kelly; Sana Syed; Donald E. Brown (CoRR, 2019)

Self-Attentive Adversarial Stain Normalization. - Aman Shrivastava; William Adorno; Lubaina Ehsan; S. Asad Ali; Sean R. Moore; Beatrice C. Amadi; Paul Kelly; Donald E. Brown; Sana Syed (CoRR, 2019)

Text Classification Algorithms: A Survey. - Kamran Kowsari; Kiana Jafari Meimandi; Mojtaba Heidarysafa; Sanjana Mendu; Laura E. Barnes; Donald E. Brown (Inf., 2019)

The Evaluation of a Serious Game to Improve Cross-Cultural Competence. - Brian An; Donald E. Brown; Stephanie A. Guerlain (IEEE Trans. Learn. Technol., 2019)

Semi-Supervised Classification of Noisy, Gigapixel Histology Images. - J. Vince Pulido; Shan Guleria; Lubaina Ehsan; Matthew Fasullo; Robert Lippman; Pritesh Mutha; Tilak Shah; Sana Syed; Donald E. Brown (BIBE, 2020)

Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images. - Rasoul Sali; Sodiq Adewole; Lubaina Ehsan; Lee A. Denson; Paul Kelly; Beatrice C. Amadi; Lori Holtz; Syed Asad Ali; Sean R. Moore; Sana Syed; Donald E. Brown (ICHI, 2020)

Self-attentive Adversarial Stain Normalization. - Aman Shrivastava; William Adorno; Yash Sharma 002; Lubaina Ehsan; S. Asad Ali; Sean R. Moore; Beatrice C. Amadi; Paul Kelly; Sana Syed; Donald E. Brown (ICPR Workshops (1), 2020)

Screening for Barrett's Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos. - J. Vince Pulido; Shan Guleria; Lubaina Ehsan; Tilak Shah; Sana Syed; Donald E. Brown (ISBI, 2020)

Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group. - Mojtaba Heidarysafa; Kamran Kowsari; Tolu Odukoya; Philip Potter; Laura E. Barnes; Donald E. Brown (SAI (2), 2020)

A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease. - Benjamin J. Lobo; Emaad Abdel-Rahman; Donald E. Brown; Lori Dunn; Brendan Bowman (Artif. Intell. Medicine, 2020)

Dialogue-based simulation for cultural awareness training. - Sodiq Adewole; Erfaneh Gharavi; Benjamin Shpringer; Martin Bolger; Vaibhav Sharma; Sung Ming Yang; Donald E. Brown (CoRR, 2020)

Gender Detection on Social Networks using Ensemble Deep Learning. - Kamran Kowsari; Mojtaba Heidarysafa; Tolu Odukoya; Philip Potter; Laura E. Barnes; Donald E. Brown (CoRR, 2020)

Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education. - Debajyoti Datta; Maria Phillips; Jennifer L. Chiu; Ginger S. Watson; James P. Bywater; Laura E. Barnes; Donald E. Brown (CoRR, 2020)

HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach. - Kamran Kowsari; Rasoul Sali; Lubaina Ehsan; William Adorno; S. Asad Ali; Sean R. Moore; Beatrice C. Amadi; Paul Kelly; Sana Syed; Donald E. Brown (Inf., 2020)

Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. - Debajyoti Datta; Maria Phillips; James P. Bywater; Jennifer L. Chiu; Ginger S. Watson; Laura E. Barnes; Donald E. Brown (BEA@EACL, 2021)

Combining Multiple Annotations to Count Cells in 3D Cardiovascular Immunofluorescent Images. - William Adorno; Laura S. Shankman; Donald E. Brown (BHI, 2021)

HistoTransfer: Understanding Transfer Learning for Histopathology. - Yash Sharma 002; Lubaina Ehsan; Sana Syed; Donald E. Brown (BHI, 2021)

Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. - Sodiq Adewole; Philip Fernandez; James A. Jablonski; Andrew Copland; Michael D. Porter; Sana Syed; Donald E. Brown (IEEE BigData, 2021)

Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision. - William Adorno III; Alexis Catalano; Lubaina Ehsan; Hans Vitzhum von Eckstaedt; Barrett Barnes; Emily McGowan; Sana Syed; Donald E. Brown (BIOIMAGING, 2021)

CoMixMatch: Semi-supervised Detection of Pancreatic Cancer on Noisy, Gigapixel Histology Images. - J. Vince Pulido; Sana Syed; Donald E. Brown (BIOIMAGING, 2021)

Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification. - Yash Sharma 002; Aman Shrivastava; Lubaina Ehsan; Christopher A. Moskaluk; Sana Syed; Donald E. Brown (MIDL, 2021)

Embeddings of genomic region sets capture rich biological associations in lower dimensions. - Erfaneh Gharavi; Aaron Gu; Guangtao Zheng; Jason P. Smith; Hyun Jae Cho; Aidong Zhang; Donald E. Brown; Nathan C. Sheffield (Bioinform., 2021)

Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video. - Sodiq Adewole; Philip Fernandez; Michelle Yeghyayan; James A. Jablonski; Andrew Copland; Michael D. Porter; Sana Syed; Donald E. Brown (CoRR, 2021)

Toward Knowledge Discovery Framework for Data Science Job Market in the United States. - Mojtaba Heidarysafa; Kamran Kowsari; Masoud Bashiri; Donald E. Brown (CoRR, 2021)

Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos. - Sodiq Adewole; Philip Fernandez; James A. Jablonski; Andrew Copland; Michael D. Porter; Sana Syed; Donald E. Brown (CoRR, 2021)

Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. - Sodiq Adewole; Philip Fernandez; James A. Jablonski; Andrew Copland; Michael D. Porter; Sana Syed; Donald E. Brown (CoRR, 2021)

Evaluation of mathematical questioning strategies using data collected through weak supervision. - Debajyoti Datta; Maria Phillips; James P. Bywater; Jennifer L. Chiu; Ginger S. Watson; Laura E. Barnes; Donald E. Brown (CoRR, 2021)

Improving mathematical questioning in teacher training. - Debajyoti Datta; Maria Phillips; James P. Bywater; Jennifer L. Chiu; Ginger S. Watson; Laura E. Barnes; Donald E. Brown (CoRR, 2021)

Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning. - Sneha Desai; Myriam Tanguay-Sela; David Benrimoh; Robert Fratila; Donald E. Brown; Kelly Perlman; Ann John; Marcos del Pozo-Baños; Nancy Low; Sonia Israel; Lisa Palladini; Gustavo Turecki (Frontiers Artif. Intell., 2021)

Human-in-the-Loop Data Collection and Evaluation for Improving Mathematical Conversations. - Debajyoti Datta; Maria Phillips; James P. Bywater; Sarah Lilly; Jennifer L. Chiu; Ginger S. Watson; Donald E. Brown (AIED (2), 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. - Sihang Jiang; Johanna Loomba; Suchetha Sharma; Donald E. Brown (BIBM, 2022)

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid. - Saurav Sengupta; Johanna Loomba; Suchetha Sharma; Donald E. Brown; Lorna E. Thorpe; Melissa A. Haendel; Christopher G. Chute; Stephanie S. Hong (BIBM, 2022)

Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation. - Payden McBee; Fatima Zulqarnain; Sana Syed; Donald E. Brown (EMBC, 2022)

Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network. - Yash Sharma 002; Nick Coronato; Donald E. Brown (EMBC, 2022)

MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. - Yash Sharma 002; Sana Syed; Donald E. Brown (MICCAI (2), 2022)

Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images. - Nazanin Moradinasab; Yash Sharma 002; Laura S. Shankman; Gary K. Owens; Donald E. Brown (MLHC, 2022)

Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data. - Donald E. Brown; Suchetha Sharma; James A. Jablonski; Arthur Weltman (BioData Min., 2022)

The iTHRIV Commons: a cross-institution information and health research data sharing architecture and web application. - Johanna Loomba; Glenn S. Wasson; Ravi Kiran Reddy Chamakuri; Pabitra Kumar Dash; Stephen G. Patterson; Mary M. A. Potter; Jason Edward Krisch; Martha M. Tenzer; Karen C. Johnston; Donald E. Brown (J. Am. Medical Informatics Assoc., 2022)

Functional Data Analysis for Predicting Pediatric Failure to Complete Ten Brief Exercise Bouts. - Nick Coronato; Donald E. Brown; Yash Sharma 002; Ronen Bar-Yoseph; Shlomit Radom-Aizik; Dan M. Cooper (IEEE J. Biomed. Health Informatics, 2022)

Using Machine Learning to Identify Organ System Specific Limitations to Exercise via Cardiopulmonary Exercise Testing. - Julio J. Portella; Brian J. Andonian; Donald E. Brown; Joao Mansur; Derek Wales; Vivian L. West; William E. Kraus; William Ed Hammond (IEEE J. Biomed. Health Informatics, 2022)

Processed CPET dataset. - Julio J. Portella; Brian J. Andonian; Donald E. Brown; Joao Mansur; Derek Wales; Vivian L. West; William E. Kraus; W. Ed Hammond (IEEE DataPort, 2022)

Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks. - Yizhe Zhang 006; Hongying Dong; Alastair Nottingham; Molly Buchanan; Donald E. Brown; Yixin Sun (ACSAC, 2023)

Classifying Mathematics Teacher Questions to Support Mathematical Discourse. - Debajyoti Datta; James P. Bywater; Maria Phillips; Sarah Lilly; Jennifer L. Chiu; Ginger S. Watson; Donald E. Brown (AIED (Posters/Late Breaking Results/...), 2023)

Uncertainty Quantification for Eosinophil Segmentation. - Kevin Lin; Donald E. Brown; Sana Syed; Adam Greene (ICBRA, 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. - Sihang Jiang; Johanna Loomba; Andrea Zhou; Suchetha Sharma; Saurav Sengupta; Donald E. Brown (ICMLA, 2023)

Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C. - Saurav Sengupta; Johanna Loomba; Suchetha Sharma; Scott A. Chapman; Donald E. Brown (ICMLA, 2023)

Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images. - Nazanin Moradinasab; Rebecca A. Deaton; Laura S. Shankman; Gary K. Owens; Donald E. Brown (MILLanD@MICCAI, 2023)

The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning. - Shan Guleria; Benjamin Schwartz; Yash Sharma 002; Philip Fernandez; James A. Jablonski; Sodiq Adewole; Sanjana Srivastava; Fisher Rhoads; Michael D. Porter; Michelle Yeghyayan; Dylan Hyatt; Andrew Copland; et al. (CoRR, 2023)

Automatic Report Generation for Histopathology images using pre-trained Vision Transformers. - Saurav Sengupta; Donald E. Brown (CoRR, 2023)

An Improved Bayesian Permutation Entropy Estimator with Wasserstein-Optimized Hierarchical Priors. - Zachary Blanks; Donald E. Brown; Marc A Adams; Siddhartha S. Angadi (CHIL, 2024)

ERDS: Optimizing Domains Using Observation-Based Extremity. - Kevin Lin; Donald E. Brown; Sana Syed; Adam Greene (ICBRA, 2024)

Gengmm: Generalized Gaussian-Mixture-Based Domain Adaptation Model for Semantic Segmentation. - Nazanin Moradinasab; Hassan Jafarzadeh; Donald E. Brown (ICIP, 2024)

ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation. - Nazanin Moradinasab; Laura S. Shankman; Rebecca A. Deaton; Gary K. Owens; Donald E. Brown (ICMLA, 2024)

Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation. - Kevin Lin; Donald E. Brown; Sana Syed; Adam Greene (ICMVA, 2024)

Automatic Report Generation for Histopathology Images Using Pre-Trained Vision Transformers and BERT. - Saurav Sengupta; Donald E. Brown (ISBI, 2024)

Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning. - Nazanin Moradinasab; Suchetha Sharma; Ronen Bar-Yoseph; Shlomit Radom-Aizik; Kenneth C. Bilchick; Dan M. Cooper; Arthur Weltman; Donald E. Brown (Data Min. Knowl. Discov., 2024)

Computer vision digitization of smartphone images of anesthesia paper health records from low-middle income countries. - Ryan D. Folks; Bhiken I. Naik; Donald E. Brown; Marcel Durieux (BMC Bioinform., 2024)

MisstepMath: A Diverse Student Mistake Dataset for AI in Mathematics Teacher Training. - Shahina Mohd Azam Ansari; James P. Bywater; Sarah Lilly; Donald E. Brown; Jennifer L. Chiu (AIED (1), 2025)

Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment. - Nazanin Moradinasab; Saurav Sengupta; Jiebei Liu; Sana Syed; Donald E. Brown (CoRR, 2025)