Donald E. Brown

ORCID

Publication Activity (10 Years)

Years Active: 1975-2023
Publications (10 Years): 94

Top Venues

Publications

Saurav Sengupta, Donald E. Brown
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers. CoRR (2023)
Saurav Sengupta, Donald E. Brown
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT. CoRR (2023)
Yizhe Zhang, Hongying Dong, Alastair Nottingham, Molly Buchanan, Donald E. Brown, Yixin Sun
Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks. ACSAC (2023)
Shan Guleria, Benjamin Schwartz, Yash Sharma, Philip Fernandez, James A. Jablonski, Sodiq Adewole, Sanjana Srivastava, Fisher Rhoads, Michael D. Porter, Michelle Yeghyayan, Dylan Hyatt, Andrew Copland, Lubaina Ehsan, Donald E. Brown, Sana Syed
The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning. CoRR (2023)
Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene
Uncertainty Quantification for Eosinophil Segmentation. CoRR (2023)
Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images. CoRR (2023)
Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images. MILLanD@MICCAI (2023)
Debajyoti Datta, James P. Bywater, Maria Phillips, Sarah Lilly, Jennifer L. Chiu, Ginger S. Watson, Donald E. Brown
Classifying Mathematics Teacher Questions to Support Mathematical Discourse. AIED (Posters/Late Breaking Results/...) (2023)
Debajyoti Datta, Maria Phillips, James P. Bywater, Sarah Lilly, Jennifer L. Chiu, Ginger S. Watson, Donald E. Brown
Human-in-the-Loop Data Collection and Evaluation for Improving Mathematical Conversations. AIED (2) (2022)
Yash Sharma, Sana Syed, Donald E. Brown
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. MICCAI (2) (2022)
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images. MLHC (2022)
Sihang Jiang, Johanna Loomba, Suchetha Sharma, Donald E. Brown
Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C. BIBM (2022)
Donald E. Brown, Suchetha Sharma, James A. Jablonski, Arthur Weltman
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data. BioData Min. 15 (1) (2022)
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images. CoRR (2022)
Yash Sharma, Sana Syed, Donald E. Brown
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. CoRR (2022)
Yash Sharma, Nick Coronato, Donald E. Brown
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network. EMBC (2022)
Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Donald E. Brown, Lorna E. Thorpe, Melissa A. Haendel, Christopher G. Chute, Stephanie S. Hong
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid. BIBM (2022)
Nick Coronato, Donald E. Brown, Yash Sharma, Ronen Bar-Yoseph, Shlomit Radom-Aizik, Dan M. Cooper
Functional Data Analysis for Predicting Pediatric Failure to Complete Ten Brief Exercise Bouts. IEEE J. Biomed. Health Informatics 26 (12) (2022)
Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Donald E. Brown, Lorna E. Thorpe, Melissa A. Haendel, Christopher G. Chute, Stephanie S. Hong
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid. CoRR (2022)
Payden McBee, Fatima Zulqarnain, Sana Syed, Donald E. Brown
Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation. EMBC (2022)
Julio J. Portella, Brian J. Andonian, Donald E. Brown, Joao Mansur, Derek Wales, Vivian L. West, William E. Kraus, William Ed Hammond
Using Machine Learning to Identify Organ System Specific Limitations to Exercise via Cardiopulmonary Exercise Testing. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Yash Sharma, Nick Coronato, Donald E. Brown
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network. CoRR (2022)
Sodiq Adewole, Philip Fernandez, Michelle Yeghyayan, James Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video. CoRR (2021)
Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification. MIDL (2021)
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
Evaluation of mathematical questioning strategies using data collected through weak supervision. CoRR (2021)
Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown
HistoTransfer: Understanding Transfer Learning for Histopathology. CoRR (2021)
Erfaneh Gharavi, Aaron Gu, Guangtao Zheng, Jason P. Smith, Hyun Jae Cho, Aidong Zhang, Donald E. Brown, Nathan C. Sheffield
Embeddings of genomic region sets capture rich biological associations in lower dimensions. Bioinform. 37 (23) (2021)
Sodiq Adewole, Philip Fernandez, James Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown
Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. CoRR (2021)
Sodiq Adewole, Philip Fernandez, James Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos. CoRR (2021)
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
Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning. Frontiers Artif. Intell. 4 (2021)
William Adorno III, Alexis Catalano, Lubaina Ehsan, Hans Vitzhum von Eckstaedt, Barrett Barnes, Emily McGowan, Sana Syed, Donald E. Brown
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision. BIOIMAGING (2021)
Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification. CoRR (2021)
Sodiq Adewole, Philip Fernandez, James Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown
Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. IEEE BigData (2021)
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
Improving mathematical questioning in teacher training. CoRR (2021)
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. BEA@EACL (2021)
J. Vince Pulido, Sana Syed, Donald E. Brown
CoMixMatch: Semi-supervised Detection of Pancreatic Cancer on Noisy, Gigapixel Histology Images. BIOIMAGING (2021)
Mojtaba Heidarysafa, Kamran Kowsari, Masoud Bashiri, Donald E. Brown
Toward Knowledge Discovery Framework for Data Science Job Market in the United States. CoRR (2021)
William Adorno III, Alexis Catalano, Lubaina Ehsan, Hans Vitzhum von Eckstaedt, Barrett Barnes, Emily McGowan, Sana Syed, Donald E. Brown
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision. CoRR (2021)
William Adorno, Laura S. Shankman, Donald E. Brown
Combining Multiple Annotations to Count Cells in 3D Cardiovascular Immunofluorescent Images. BHI (2021)
Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown
HistoTransfer: Understanding Transfer Learning for Histopathology. BHI (2021)
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
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images. ICHI (2020)
Kamran Kowsari, Rasoul Sali, Lubaina Ehsan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach. Inf. 11 (6) (2020)
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
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images. CoRR (2020)
Kamran Kowsari, Rasoul Sali, Lubaina Ehsan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach. CoRR (2020)
Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Gender Detection on Social Networks using Ensemble Deep Learning. CoRR (2020)
Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown
Self-attentive Adversarial Stain Normalization. ICPR Workshops (1) (2020)
Benjamin J. Lobo, Emaad Abdel-Rahman, Donald E. Brown, Lori Dunn, Brendan Bowman
A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease. Artif. Intell. Medicine 104 (2020)
Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group. SAI (2) (2020)
Sodiq Adewole, Erfaneh Gharavi, Benjamin Shpringer, Martin Bolger, Vaibhav Sharma, Sung Ming Yang, Donald E. Brown
Dialogue-based simulation for cultural awareness training. CoRR (2020)
J. Vince Pulido, Shan Guleria, Lubaina Ehsan, Tilak Shah, Sana Syed, Donald E. Brown
Screening for Barrett's Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos. ISBI (2020)
J. Vince Pulido, Shan Guleria, Lubaina Ehsan, Matthew Fasullo, Robert Lippman, Pritesh Mutha, Tilak Shah, Sana Syed, Donald E. Brown
Semi-Supervised Classification of Noisy, Gigapixel Histology Images. BIBE (2020)
Debajyoti Datta, Maria Phillips, Jennifer L. Chiu, Ginger S. Watson, James P. Bywater, Laura E. Barnes, Donald E. Brown
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education. CoRR (2020)
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown
Text Classification Algorithms: A Survey. Inf. 10 (4) (2019)
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown
Text Classification Algorithms: A Survey. CoRR (2019)
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
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks. CoRR (2019)
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
Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease. BHI (2019)
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
Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease. CoRR (2019)
Rasoul Sali, Lubaina Ehsan, Kamran Kowsari, Marium N. Khan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks. CoRR (2019)
Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group. CoRR (2019)
Mojtaba Heidarysafa, James Reed, Kamran Kowsari, April Celeste R. Leviton, Janet I. Warren, Donald E. Brown
From Videos to URLs: A Multi-Browser Guide to Extract User's Behavior with Optical Character Recognition. CVC (1) (2019)
Li Yan, Shohaib Mahmud, Haiying Shen, Natasha Zhang Foutz, Donald E. Brown, Wie Yusuf, Derek Loftis, Lucas Lyons, Jonathan L. Goodall, Joshua Anton
MobiAmbulance: Optimal Scheduling of Emergency Vehicles in Catastrophic Situations. ICCCN (2019)
Brian An, Donald E. Brown, Stephanie A. Guerlain
The Evaluation of a Serious Game to Improve Cross-Cultural Competence. IEEE Trans. Learn. Technol. 12 (3) (2019)
Aman Shrivastava, William Adorno, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed
Self-Attentive Adversarial Stain Normalization. CoRR (2019)
Rasoul Sali, Lubaina Ehsan, Kamran Kowsari, Marium N. Khan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks. BIBM (2019)
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
RMDL: Random Multimodel Deep Learning for Classification. CoRR (2018)
Yang Wang, Stephen C. Adams, Peter A. Beling, Steven Greenspan, Sridhar Rajagopalan, Maria C. Velez-Rojas, Serge Mankovski, Steven M. Boker, Donald E. Brown
Privacy Preserving Distributed Deep Learning and Its Application in Credit Card Fraud Detection. TrustCom/BigDataSE (2018)
Yang Wang, Quanquan Gu, Donald E. Brown
Differentially Private Hypothesis Transfer Learning. ECML/PKDD (2) (2018)
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
RMDL: Random Multimodel Deep Learning for Classification. ICISDM (2018)
Mojtaba Heidarysafa, James Reed, Kamran Kowsari, April Celeste R. Leviton, Janet I. Warren, Donald E. Brown
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition. CoRR (2018)
Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown
Analysis of Railway Accidents' Narratives Using Deep Learning. CoRR (2018)
Benjamin J. Lobo, Donald E. Brown, Matthew S. Gerber, Peter J. Grazaitis
A transient stochastic simulation-optimization model for operational fuel planning in-theater. Eur. J. Oper. Res. 264 (2) (2018)
Yingjie Liu, Gregory Wert, Benjamin Greenawald, Mohammad Al Boni, Donald E. Brown
Predicting Violent Behavior using Language Agnostic Models. KDIR (2018)
Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL). CoRR (2018)
Brian An, Inki Kim, Erfan Pakdamanian, Donald E. Brown
Exploring gaze Behavior to Assess Performance in Digital Game-based Learning Systems. WSC (2018)
Mohammad Al Boni, Seth Green, Megan Stiles, Katherine Harton, Donald E. Brown
Longitudinal Analysis of Linguistic flexibility of Value-motivated Groups. IEEE BigData (2018)
Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown
Analysis of Railway Accidents' Narratives Using Deep Learning. ICMLA (2018)
Brian An, Forrest Matteo, Matt Epstein, Donald E. Brown
Comparing the Performance of an Immersive Virtual Reality and Traditional Desktop Cultural Game. CHIRA (2018)
Brian An, Inki Kim, Erfan Pakdamanian, Donald E. Brown
Exploring Gaze Behavior to Assess Performance in Digital Game-Based Learning Systems. CoRR (2018)
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
HDLTex: Hierarchical Deep Learning for Text Classification. ICMLA (2017)
Brian An, Donald E. Brown, Riannon M. Hazell, Peter J. Grazaitis
Cultural Dimension Theory Based Simulations for US Army Personnel. SBP-BRiMS (2017)
Donald E. Brown, Hope McIntyre, Peter J. Grazaitis, Riannon M. Hazell, Nicholas Venuti
Hyperparameter Optimization for Predicting the Tolerance Level of Religious Discourse. SBP-BRiMS (2017)
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
HDLTex: Hierarchical Deep Learning for Text Classification. CoRR (2017)
Julia Lensing, Ketki Vilankar, Hyojung Kang, Donald E. Brown, Amy Mathers, Laura E. Barnes
Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission. AMIA (2017)
Wei Xie, Yang Wang, Steven M. Boker, Donald E. Brown
PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers. CoRR (2016)
Donald E. Brown
Text Mining the Contributors to Rail Accidents. IEEE Trans. Intell. Transp. Syst. 17 (2) (2016)
Donald E. Brown, Xiaoqian Liu
Extracting Addresses from News Reports Using Conditional Random Fields. ICMLA (2016)
Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau
Predictive [Guest editors' introduction]. IEEE Intell. Syst. 30 (2) (2015)
Zachary Terner, Donald E. Brown
Preconditions and multilevel models in studying post-surgical adverse outcomes. Netw. Model. Anal. Health Informatics Bioinform. 4 (1) (2015)
Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau
Predictive Analytics: Predictive Modeling at the Micro Level. IEEE Intell. Syst. 30 (3) (2015)
Benjamin J. Lobo, Ruosi Lin, Donald E. Brown, Taewung Kim, Matthew B. Panzer
Predicting Pedestrian Injury Metrics Based on Vehicle Front-End Design. IOV (2015)
Keira Zhou, Jeffrey J. Fox, Ke Wang, Donald E. Brown, Kevin Skadron
Brill tagging on the Micron Automata Processor. ICSC (2015)
Jennifer L. Geffre, Donald E. Brown
Strategic Threat Probabilities with Hierarchical Spatiotemporal Predictions. IEEE Intell. Syst. 30 (6) (2015)
Keira Zhou, Jack Wadden, Jeffrey J. Fox, Ke Wang, Donald E. Brown, Kevin Skadron
Regular expression acceleration on the micron automata processor: Brill tagging as a case study. IEEE BigData (2015)
Ahmed Abbasi, Raymond Y. K. Lau, Donald E. Brown
Predicting Behavior. IEEE Intell. Syst. 30 (3) (2015)
Yue Zhang, Donald E. Brown
Simulation optimization of police patrol district design using an adjusted simulated annealing approach. SpringSim (TMS-DEVS) (2014)
Yue Zhang, Donald E. Brown
Simulation optimization of police patrol districting plans using response surfaces. Simul. 90 (6) (2014)
Zachary Terner, Timothy Carroll, Donald E. Brown
Measures of Entropy and Change Point Analysis as Predictors of Post-Surgical Adverse Outcomes. BIBE (2014)
Samuel H. Huddleston, Donald E. Brown
Using discrete event simulation to evaluate time series forecasting methods for security applications. WSC (2013)
Yue Zhang, Donald E. Brown
Police patrol districting method and simulation evaluation using agent-based model & GIS. Secur. Informatics 2 (1) (2013)
Yue Zhang, Samuel H. Huddleston, Donald E. Brown, Gerard P. Learmonth
A comparison of evaluation methods for police patrol district designs. WSC (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Donald E. Brown