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- Donald Brown
- Donald J. Brown
- Donald L. Brown
- Donald R. Brown
- Donald V. Brown
- Donald W. Brown
- D. Richard Brown III (aka: D. Richard Brown, Donald Richard Brown)
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2020 – today
- 2024
[j59]Ryan D. Folks, Bhiken I. Naik, Donald E. Brown, Marcel Durieux:
Computer vision digitization of smartphone images of anesthesia paper health records from low-middle income countries. BMC Bioinform. 25(1): 178 (2024)- [j58]Nazanin Moradinasab
, Suchetha Sharma, Ronen Bar-Yoseph, Shlomit Radom-Aizik, Kenneth C. Bilchick, Dan M. Cooper, Arthur Weltman, Donald E. Brown:
Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning. Data Min. Knowl. Discov. 38(3): 1493-1519 (2024) - [c88]Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene:
ERDS: Optimizing Domains Using Observation-Based Extremity. ICBRA 2024: 1-8 - [c87]Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene:
Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation. ICMVA 2024: 150-153 - [c86]Saurav Sengupta, Donald E. Brown:
Automatic Report Generation for Histopathology Images Using Pre-Trained Vision Transformers and BERT. ISBI 2024: 1-5 - [i38]Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald E. Brown:
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation. CoRR abs/2406.19225 (2024) - [i37]Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown:
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation. CoRR abs/2410.16485 (2024) - 2023
- [c85]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: 565-579 - [c84]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: 372-377 - [c83]Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene:
Uncertainty Quantification for Eosinophil Segmentation. ICBRA 2023: 15-19 - [c82]Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown:
A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. ICMLA 2023: 144-151 - [c81]Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Scott A. Chapman, Donald E. Brown:
Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C. ICMLA 2023: 430-436 - [c80]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: 24-34 - [i36]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 abs/2308.13035 (2023) - [i35]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 abs/2309.03744 (2023) - [i34]Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene:
Uncertainty Quantification for Eosinophil Segmentation. CoRR abs/2309.16536 (2023) - [i33]Saurav Sengupta, Donald E. Brown:
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers. CoRR abs/2311.06176 (2023) - [i32]Saurav Sengupta, Donald E. Brown:
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT. CoRR abs/2312.01435 (2023) - 2022
- [j57]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) - [j56]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:
The iTHRIV Commons: a cross-institution information and health research data sharing architecture and web application. J. Am. Medical Informatics Assoc. 29(4): 631-642 (2022) - [j55]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): 4228-4237 (2022) - [j54]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): 5953-5963 (2022) - [c79]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: 551-554 - [c78]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: 2797-2802 - [c77]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: 3023-3030 - [c76]Yash Sharma, Nick Coronato, Donald E. Brown:
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network. EMBC 2022: 1611-1614 - [c75]Payden McBee, Fatima Zulqarnain, Sana Syed, Donald E. Brown:
Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation. EMBC 2022: 4740-4744 - [c74]Yash Sharma, Sana Syed, Donald E. Brown:
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. MICCAI (2) 2022: 345-355 - [c73]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: 565-584 - [d1]Julio J. Portella, Brian J. Andonian, Donald E. Brown, Joao Mansur, Derek Wales, Vivian L. West, William E. Kraus, W. Ed Hammond:
Processed CPET dataset. IEEE DataPort, 2022
- [i31]Yash Sharma, Nick Coronato, Donald E. Brown:
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network. CoRR abs/2204.12432 (2022) - [i30]Yash Sharma, Sana Syed, Donald E. Brown:
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. CoRR abs/2206.14437 (2022) - [i29]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 abs/2208.00098 (2022) - [i28]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 abs/2210.02490 (2022) - 2021
- [j53]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): 4299-4306 (2021) - [j52]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: 561528 (2021) - [c72]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: 185-198 - [c71]William Adorno, Laura S. Shankman, Donald E. Brown:
Combining Multiple Annotations to Count Cells in 3D Cardiovascular Immunofluorescent Images. BHI 2021: 1-4 - [c70]Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown:
HistoTransfer: Understanding Transfer Learning for Histopathology. BHI 2021: 1-4 - [c69]Sodiq Adewole, Philip Fernandez, James A. 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: 388-399 - [c68]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: 44-55 - [c67]J. Vince Pulido, Sana Syed, Donald E. Brown:
CoMixMatch: Semi-supervised Detection of Pancreatic Cancer on Noisy, Gigapixel Histology Images. BIOIMAGING 2021: 56-64 - [c66]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: 682-698 - [i27]Sodiq Adewole, Philip Fernandez, Michelle Yeghyayan, James A. 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 abs/2101.04240 (2021) - [i26]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 abs/2101.05326 (2021) - [i25]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 abs/2103.10626 (2021) - [i24]Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown:
HistoTransfer: Understanding Transfer Learning for Histopathology. CoRR abs/2106.07068 (2021) - [i23]Mojtaba Heidarysafa, Kamran Kowsari, Masoud Bashiri, Donald E. Brown:
Toward Knowledge Discovery Framework for Data Science Job Market in the United States. CoRR abs/2106.11077 (2021) - [i22]Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown:
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos. CoRR abs/2110.09067 (2021) - [i21]Sodiq Adewole, Philip Fernandez, James A. 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 abs/2110.09110 (2021) - [i20]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 abs/2112.00985 (2021) - [i19]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 abs/2112.01537 (2021) - 2020
- [j51]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: 101823 (2020) - [j50]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): 318 (2020) - [c65]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: 563-568 - [c64]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: 1-6 - [c63]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: 120-140 - [c62]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: 1659-1663 - [c61]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: 610-624 - [i18]Sodiq Adewole, Erfaneh Gharavi, Benjamin Shpringer, Martin Bolger, Vaibhav Sharma, Sung Ming Yang, Donald E. Brown:
Dialogue-based simulation for cultural awareness training. CoRR abs/2002.00223 (2020) - [i17]Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown:
Gender Detection on Social Networks using Ensemble Deep Learning. CoRR abs/2004.06518 (2020) - [i16]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 abs/2005.03868 (2020) - [i15]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 abs/2006.07187 (2020) - [i14]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 abs/2010.12710 (2020)
2010 – 2019
- 2019
- [j49]Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown:
Text Classification Algorithms: A Survey. Inf. 10(4): 150 (2019) - [j48]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): 429-441 (2019) - [c60]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: 1-4 - [c59]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: 962-967 - [c58]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: 503-514 - [c57]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: 1-9 - [i13]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 abs/1904.05773 (2019) - [i12]Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown:
Text Classification Algorithms: A Survey. CoRR abs/1904.08067 (2019) - [i11]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 abs/1908.03272 (2019) - [i10]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 abs/1909.01963 (2019) - [i9]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 abs/1910.03084 (2019) - [i8]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 abs/1912.03804 (2019) - 2018
- [j47]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): 637-652 (2018) - [c56]Mohammad Al Boni, Seth Green, Megan Stiles, Katherine Harton, Donald E. Brown:
Longitudinal Analysis of Linguistic flexibility of Value-motivated Groups. IEEE BigData 2018: 2951-2959 - [c55]Brian An, Forrest Matteo, Matt Epstein, Donald E. Brown:
Comparing the Performance of an Immersive Virtual Reality and Traditional Desktop Cultural Game. CHIRA 2018: 54-61 - [c54]Yingjie Liu, Gregory Wert, Benjamin Greenawald, Mohammad Al Boni, Donald E. Brown:
Predicting Violent Behavior using Language Agnostic Models. KDIR 2018: 100-107 - [c53]Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes:
RMDL: Random Multimodel Deep Learning for Classification. ICISDM 2018: 19-28 - [c52]Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown:
Analysis of Railway Accidents' Narratives Using Deep Learning. ICMLA 2018: 1446-1453 - [c51]Yang Wang, Quanquan Gu, Donald E. Brown:
Differentially Private Hypothesis Transfer Learning. ECML/PKDD (2) 2018: 811-826 - [c50]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: 1070-1078 - [c49]Brian An, Inki Kim, Erfan Pakdamanian, Donald E. Brown:
Exploring gaze Behavior to Assess Performance in Digital Game-based Learning Systems. WSC 2018: 2447-2458 - [i7]Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes:
RMDL: Random Multimodel Deep Learning for Classification. CoRR abs/1805.01890 (2018) - [i6]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 abs/1808.08121 (2018) - [i5]Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown:
Analysis of Railway Accidents' Narratives Using Deep Learning. CoRR abs/1810.07382 (2018) - [i4]Brian An, Inki Kim, Erfan Pakdamanian, Donald E. Brown:
Exploring Gaze Behavior to Assess Performance in Digital Game-Based Learning Systems. CoRR abs/1811.00981 (2018) - [i3]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 abs/1811.06193 (2018) - 2017
- [c48]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 - [c47]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: 364-371 - [c46]Brian An, Donald E. Brown, Riannon M. Hazell, Peter J. Grazaitis:
Cultural Dimension Theory Based Simulations for US Army Personnel. SBP-BRiMS 2017: 65-70 - [c45]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: 335-341 - [i2]Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes:
HDLTex: Hierarchical Deep Learning for Text Classification. CoRR abs/1709.08267 (2017) - 2016
- [j46]Donald E. Brown:
Text Mining the Contributors to Rail Accidents. IEEE Trans. Intell. Transp. Syst. 17(2): 346-355 (2016) - [c44]Donald E. Brown, Xiaoqian Liu:
Extracting Addresses from News Reports Using Conditional Random Fields. ICMLA 2016: 791-795 - [i1]Wei Xie, Yang Wang, Steven M. Boker, Donald E. Brown:
PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers. CoRR abs/1611.01170 (2016) - 2015
- [j45]Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau:
Predictive [Guest editors' introduction]. IEEE Intell. Syst. 30(2): 6-8 (2015) - [j44]Donald E. Brown, Ahmed Abbasi, Raymond Y. K. Lau:
Predictive Analytics: Predictive Modeling at the Micro Level. IEEE Intell. Syst. 30(3): 6-8 (2015) - [j43]Ahmed Abbasi, Raymond Y. K. Lau, Donald E. Brown:
Predicting Behavior. IEEE Intell. Syst. 30(3): 35-43 (2015) - [j42]Jennifer L. Geffre, Donald E. Brown:
Strategic Threat Probabilities with Hierarchical Spatiotemporal Predictions. IEEE Intell. Syst. 30(6): 72-80 (2015) - [j41]Zachary Terner, Donald E. Brown:
Preconditions and multilevel models in studying post-surgical adverse outcomes. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 20 (2015) - [c43]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: 355-360 - [c42]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: 114-126 - [c41]Keira Zhou, Jeffrey J. Fox, Ke Wang, Donald E. Brown, Kevin Skadron:
Brill tagging on the Micron Automata Processor. ICSC 2015: 236-239 - [p1]Donald E. Brown:
Interdisciplinary Research: Pathway to Meaningful Publications. A Guide to Publishing for Academics 2015: 93-108 - 2014
- [j40]Yue Zhang, Donald E. Brown:
Simulation optimization of police patrol districting plans using response surfaces. Simul. 90(6): 687-705 (2014) - [c40]Zachary Terner, Timothy Carroll, Donald E. Brown:
Measures of Entropy and Change Point Analysis as Predictors of Post-Surgical Adverse Outcomes. BIBE 2014: 54-61 - [c39]Yue Zhang, Donald E. Brown:
Simulation optimization of police patrol district design using an adjusted simulated annealing approach. SpringSim (TMS-DEVS) 2014: 18 - 2013
- [j39]Yue Zhang, Donald E. Brown:
Police patrol districting method and simulation evaluation using agent-based model & GIS. Secur. Informatics 2(1): 7 (2013) - [c38]Michael A. Vedomske, Donald E. Brown, James H. Harrison:
Random Forests on Ubiquitous Data for Heart Failure 30-Day Readmissions Prediction. ICMLA (2) 2013: 415-421 - [c37]Michael A. Vedomske, Matthew S. Gerber, Donald E. Brown, James H. Harrison:
Scalable and Locally Applicable Measures of Treatment Variation That Use Hospital Billing Data. ICMLA (2) 2013: 422-427 - [c36]Samuel H. Huddleston, Matthew S. Gerber, Donald E. Brown:
Geographic Profiling of Criminal Groups for Military Cordon and Search. SBP 2013: 503-512 - [c35]Yue Zhang, Samuel H. Huddleston, Donald E. Brown, Gerard P. Learmonth:
A comparison of evaluation methods for police patrol district designs. WSC 2013: 2532-2543 - [c34]Samuel H. Huddleston, Donald E. Brown:
Using discrete event simulation to evaluate time series forecasting methods for security applications. WSC 2013: 2772-2783 - 2012
- [j38]Edward B. Teague, Thomas R. Warner, Donald E. Brown:
Evaluating infrastructure resource allocation in support of regional stability. Int. J. Syst. Syst. Eng. 3(2): 154-167 (2012) - [j37]Xiaofeng Wang, Donald E. Brown:
The spatio-temporal modeling for criminal incidents. Secur. Informatics 1(1): 2 (2012) - [c33]Matthew S. Gerber, Donald E. Brown, James H. Harrison:
Automatic Formalization of Clinical Practice Guidelines. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c32]Xiaofeng Wang, Donald E. Brown, Matthew S. Gerber:
Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information. ISI 2012: 36-41 - [c31]Yue Zhang, Donald E. Brown:
Police patrol district design using agent-based simulation and GIS. ISI 2012: 54-59 - [c30]Jon Fox, Samuel H. Huddleston, Matthew S. Gerber, Donald E. Brown:
Investigating a Bayesian Hierarchical Framework for Feature-Space Modeling of Criminal Site-Selection Problems. MAICS 2012: 185-192 - [c29]Xiaofeng Wang, Matthew S. Gerber, Donald E. Brown:
Automatic Crime Prediction Using Events Extracted from Twitter Posts. SBP 2012: 231-238 - [c28]Jon Fox, Gerard P. Learmonth, Donald E. Brown:
Simulating spatial-temporal pulse events in criminal site selection problems. SpringSim (ADS) 2012: 7 - [c27]Jon Fox, Donald E. Brown:
Using Temporal Indicator Functions with Generalized Linear Models for Spatial-Temporal Event Prediction. CSER 2012: 106-111 - 2011
- [j36]Donald E. Brown, Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo Baeza-Yates, Cristián Bravo, Gaston L'Huillier, Sebastián Maldonado:
Future trends in business analytics and optimization. Intell. Data Anal. 15(6): 1001-1017 (2011) - [c26]Xiaofeng Wang, Donald E. Brown:
The spatio-temporal generalized additive model for criminal incidents. ISI 2011: 42-47
2000 – 2009
- 2009
- [j35]Samuel H. Huddleston, Donald E. Brown:
A Statistical Threat Assessment. IEEE Trans. Syst. Man Cybern. Part A 39(6): 1307-1315 (2009) - 2007
- [j34]Michael D. Porter, Donald E. Brown:
Detecting local regions of change in high-dimensional criminal or terrorist point processes. Comput. Stat. Data Anal. 51(5): 2753-2768 (2007) - [j33]Michael A. Smith, Donald E. Brown:
Discrete choice analysis of spatial attack sites. Inf. Syst. E Bus. Manag. 5(3): 255-274 (2007) - [j32]Scott T. Crino, Donald E. Brown:
Global Optimization With Multivariate Adaptive Regression Splines. IEEE Trans. Syst. Man Cybern. Part B 37(2): 333-340 (2007) - 2006
- [j31]Yifei Xue, Donald E. Brown:
Spatial analysis with preference specification of latent decision makers for criminal event prediction. Decis. Support Syst. 41(3): 560-573 (2006) - [j30]Song Lin, Donald E. Brown:
An outlier-based data association method for linking criminal incidents. Decis. Support Syst. 41(3): 604-615 (2006) - 2005
- [j29]T. S. Barger, Donald E. Brown, Majd Alwan:
Health-status monitoring through analysis of behavioral patterns. IEEE Trans. Syst. Man Cybern. Part A 35(1): 22-27 (2005) - [c25]Siddharth Dalal, Majd Alwan, Reza Seifrafi, Steven W. Kell, Donald E. Brown:
A Rule-Based Approach to the Analysis of Elders' Activity Data: Detection of Health and Possible Emergency Conditions. AAAI Fall Symposium: Caring Machines 2005: 29-36 - [c24]C. Donald Robinson, Donald E. Brown:
Assessing casualty densities based on sensor reports pursuant to a large-scale disaster. SMC 2005: 3675-3681 - [c23]C. Donald Robinson, Donald E. Brown:
First responder information flow simulation: a tool for technology assessment. WSC 2005: 919-925 - 2004
- [j28]Hua Liu, Donald E. Brown:
A new point process transition density model for space-time event prediction. IEEE Trans. Syst. Man Cybern. Part C 34(3): 310-324 (2004) - [c22]Donald E. Brown, Jason Dalton, Heidi Hoyle:
Spatial Forecast Methods for Terrorist Events in Urban Environments. ISI 2004: 426-435 - [c21]Jeffrey B. Schamburg, Donald E. Brown:
Simulated Annealing for Selection of Experimental Regions in Response Surface Methodology Applications. WSC 2004: 931-939 - [c20]Jeffrey B. Schamburg, Donald E. Brown:
A Generalized Multiple Response Surface Methodology for Complex Computer Simulation Applications. WSC 2004: 958-966 - [c19]Patrick M. Downes, Michael J. Kwinn Jr., Donald E. Brown:
Using Agent-based Modeling and Human-in-the-Loop Simulation to Analyze Army Acquisition Programs. WSC 2004: 994-1000 - 2003
- [j27]Donald E. Brown, Stephen Hagen:
Data association methods with applications to law enforcement. Decis. Support Syst. 34(4): 369-378 (2003) - [j26]Yifei Xue, Donald E. Brown:
A decision model for spatial site selection by criminals: a foundation for law enforcement decision support. IEEE Trans. Syst. Man Cybern. Part C 33(1): 78-85 (2003) - [c18]Song Lin, Donald E. Brown:
Criminal Incident Data Association Using the OLAP Technology. ISI 2003: 13-26 - [c17]Yifei Xue, Donald E. Brown:
Decision Based Spatial Analysis of Crime. ISI 2003: 153-167 - [c16]Song Lin, Donald E. Brown:
An Outlier-based Data Association Method for Linking Criminal Incidents. SDM 2003: 326-330 - [c15]Justin K. Stile, Donald E. Brown:
Geographic profiling with event prediction. SMC 2003: 3712-3719 - 2002
- [j25]Donald E. Brown, Louise F. Gunderson:
Using Data Mining to Discover the Preferences of Computer Criminals. Adv. Comput. 56: 343-373 (2002) - [c14]Jason Dalton, Steve Tropello, Sandra Pelletier, Jason A. Lyman, Bruce P. Dembling, Ken Scully, William A. Knaus, Donald E. Brown:
Design Approach for Integration of Demographic, Biologic, and Clinical Data. AMIA 2002 - [c13]Donald E. Brown, Justin K. Stile, Louise F. Gunderson, Ted C. Giras:
Mining human failure dynamics from accident data using logistic regression and decision trees. SMC 2002: 4 - 2001
- [j24]Donald E. Brown, Louise F. Gunderson:
Using clustering to discover the preferences of computer criminals . IEEE Trans. Syst. Man Cybern. Part A 31(4): 311-318 (2001) - [c12]Stephanie A. Guerlain, Donald E. Brown, John Green, Brian Hashemi, Robert Rauschenberg, Christopher Stacy, Roger Mason, Jane Bohlin:
Supporting Verification of the Comprehensive Nuclear Test Ban Treaty through a Persistent Conversation Interface. HICSS 2001 - [c11]Donald E. Brown, Hua Liu, Yifei Xue:
Mining Preferences from Spatial-Temporal Data. SDM 2001: 1-17 - [c10]Donald E. Brown, Rosemary B. Oxford:
Data mining time series with applications to crime analysis. SMC 2001: 1453-1458 - [c9]Louise F. Gunderson, Donald E. Brown:
Using cluster specific salience weighting to determine the preferences of agents for multi-agent simulations. SMC 2001: 1465-1470 - 2000
- [j23]Donald E. Brown, Louise F. Gunderson, Marc H. Evans:
Interactive Analysis of Computer Crimes. Computer 33(8): 69-77 (2000) - [j22]Donald E. Brown, Antonia de Medinaceli:
The use of information technology for oil spill planning. Int. J. Technol. Manag. 19(3/4/5): 532-545 (2000) - [j21]Donald E. Brown, William T. Scherer:
A comparison of systems engineering programs in the United States. IEEE Trans. Syst. Man Cybern. Part C 30(2): 204-212 (2000) - [c8]Stephanie A. Guerlain, Donald E. Brown, Christina Mastrangelo:
Intelligent decision support systems. SMC 2000: 1934-1938 - [c7]Louise F. Gunderson, Donald E. Brown:
Using a multi-agent model to predict both physical and cyber criminal activity. SMC 2000: 2338-2343
1990 – 1999
- 1998
- [j20]Allen L. Barker, Donald E. Brown, Worthy N. Martin:
Static data association with a terrain-based prior density. IEEE Trans. Syst. Man Cybern. Part C 28(1): 151-157 (1998) - [c6]Edward Sobiesk, John A. Hamilton Jr., John A. Marin, Donald E. Brown, Maria L. Gini:
Tracking multiple objects in terrain. SMC 1998: 2842-2847 - [c5]Donald E. Brown:
The Regional Crime Analysis Program (ReCAP): a framework for mining data to catch criminals. SMC 1998: 2848-2853 - [c4]Hua Liu, Donald E. Brown:
Spatial-temporal event prediction: a new model. SMC 1998: 2933-2937 - 1997
- [j19]James C. French, Donald E. Brown, Nam-Ho Kim:
A Classification Approach to Boolean Query Reformulation. J. Am. Soc. Inf. Sci. 48(8): 694-706 (1997) - 1996
- [j18]Christopher L. Huntley, Donald E. Brown:
Parallel genetic algorithms with local search. Comput. Oper. Res. 23(6): 559-571 (1996) - [j17]Donald E. Brown, Clarence Louis Pittard, Han Park:
Classification trees with optimal multivariate decision nodes. Pattern Recognit. Lett. 17(7): 699-703 (1996) - 1995
- [j16]Donald E. Brown, James J. Pomykalski:
Reliability Estimation During Prototyping of Knowledge-Based Systems. IEEE Trans. Knowl. Data Eng. 7(3): 378-390 (1995) - 1994
- [j15]George E. Fulcher, Donald E. Brown:
A polynomial network for predicting temperature distributions. IEEE Trans. Neural Networks 5(3): 372-379 (1994) - 1993
- [j14]Donald E. Brown, Vincent Corruble, Clarence Louis Pittard:
A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems. Pattern Recognit. 26(6): 953-961 (1993) - 1992
- [j13]Donald E. Brown, Clarence Louis Pittard, Andrew R. Spillane:
Asset: A simulation test bed for data association algorithms. Comput. Oper. Res. 19(6): 479-493 (1992) - [j12]Donald E. Brown, Wendy J. Markert:
Uncertainty Management with Imprecise Knowledge with Application to Design. J. Autom. Reason. 9(2): 217-230 (1992) - [j11]Donald E. Brown, Christopher L. Huntley:
A practical application of simulated annealing to clustering. Pattern Recognit. 25(4): 401-412 (1992) - [j10]Frank Z. Brill, Donald E. Brown, Worthy N. Martin:
Fast generic selection of features for neural network classifiers. IEEE Trans. Neural Networks 3(2): 324-328 (1992) - 1991
- [j9]Christopher L. Huntley, Donald E. Brown:
A parallel heuristic for quadratic assignment problems. Comput. Oper. Res. 18(3): 275-289 (1991) - [j8]Donald E. Brown, Christopher L. Huntley, Paul J. Garvey:
Clustering of homogeneous subsets. Pattern Recognit. Lett. 12(7): 401-408 (1991) - [c3]Paula Gabbert, Donald E. Brown, Christopher L. Huntley, Bernard P. Markowicz, David E. Sappington:
A System for Learning Routes and Schedules with Genetic Algorithms. ICGA 1991: 430-436 - 1990
- [j7]Allen L. Barker, Donald E. Brown, Worthy N. Martin:
A Neural Network Implementation of a Data Association Algorithm. INFORMS J. Comput. 2(2): 100-111 (1990)
1980 – 1989
- 1989
- [j6]Paula Gabbert, Donald E. Brown:
Knowledge-based computer-aided design of materials handling systems. IEEE Trans. Syst. Man Cybern. 19(2): 188-196 (1989) - [c2]Donald E. Brown, Christopher L. Huntley, Andrew R. Spillane:
A Parallel Genetic Heuristic for the Quadratic Assignment Problem. ICGA 1989: 406-415 - 1988
- [c1]Donald E. Brown, Paula Gabbert:
Uncertainty Management in Intelligent Design Aiding Systems. IEA/AIE (Vol. 1) 1988: 397-404 - 1987
- [j5]Donald E. Brown:
An information theoretic interface for a stochastic model management system. Decis. Support Syst. 3(1): 73-81 (1987) - [j4]Donald E. Brown:
A Decision Support System for Reliable Software Development. IEEE Trans. Syst. Man Cybern. 17(1): 86-91 (1987) - [j3]Donald E. Brown, Chelsea C. White III:
An Expert System Approach to Boiler Design. IEEE Trans. Syst. Man Cybern. 17(2): 293-297 (1987) - 1986
- [j2]Donald E. Brown, Bernard G. Duren:
Conflicting information integration for decision support. Decis. Support Syst. 2(4): 321-329 (1986)
1970 – 1979
- 1975
- [j1]Roy Daniel Rosner, Raymond H. Bittel, Donald E. Brown:
A High Throughput Packet-Switched Network Technique Without Message Reassembly. IEEE Trans. Commun. 23(8): 819-828 (1975)
Coauthor Index
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