Douglas A. Talbert

发表

A Data Model to Represent Clinically Oriented Drug Dosing Rules

Rodney M. Hamilton, Douglas A. Talbert, Phillip W. Stewart, 2001, AMIA.

Special Track on Artificial Intelligence in Healthcare Informatics

Douglas A. Talbert, Steve Talbert, 2013, FLAIRS Conference.

Mining Interesting, Non-Redundant Healthcare Trajectories

Douglas A. Talbert, Lemuel R. Waitman, Rina Singh, 2018, AMIA.

Heuristically Reducing the Cost of Correlation-based Feature Selection

Douglas A. Talbert, Katherine E. Brown, Katherine E. Brown, 2019, ACM Southeast Regional Conference.

Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning

Douglas A. Talbert, Md. Ahsan Ayub, William A. Johnson, 2020, 2020 54th Annual Conference on Information Sciences and Systems (CISS).

An Incremental Pharmacy Informatics Model for Use in a Rural Hospital

Douglas A. Talbert, Edward Roush, Luis Velazco, 2005, AMIA.

Multi-Task Correlation-Based Feature Selection for Gene Expression Data

Douglas A. Talbert, Katherine E. Brown, 2018, AMIA.

Predicting Cancer Type with Dimensionality-Reduced Gene Expression Micro-Array Data

Douglas A. Talbert, Marc Santoro, 2005, AMIA.

Experience using a programmable rules engine to implement a complex medical protocol during order entry

Douglas A. Talbert, Randolph A. Miller, Jack Starmer, 2000, AMIA.

Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy pdf

William Eberle, Douglas A. Talbert, Sheikh K. Ghafoor, 2019, ArXiv.

Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach

William Eberle, Douglas A. Talbert, Ramesh Paudel, 2017, FLAIRS.

Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection

Douglas A. Talbert, Katherine E. Brown, Farzana Ahamed Bhuiyan, 2020, FLAIRS.

Complex Patterns in Dynamic Attributed Graphs

Douglas A. Talbert, Rina Singh, Jeffrey A. Graves, 2016, WWW.

Gene Selection and Clustering of Breast Cancer Data

William Eberle, Douglas A. Talbert, Lewis J. Frey, 2019, FLAIRS.

Artificial Intelligence Pipeline to Bridge the Gap between Bench Researchers and Clinical Researchers in Precision Medicine

Douglas A. Talbert, Lewis J. Frey, L. Frey, 2020, Med one.

Establishing an Agile Mindset and Culture for Workforce Preparedness: A Baseline Study

Douglas A. Talbert, Gerald C. Gannod, Jasmin Baniya, 2018, 2018 IEEE Frontiers in Education Conference (FIE).

User Communication and Problem Tracking: A Multi-faceted Approach to Rapid Application Development

Douglas A. Talbert, Antoine Geissbühler, Randolph A. Miller, 2001, AMIA.

A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage

Douglas A. Talbert, Steve Talbert, Matt Honeycutt, 2011, MLDM.

Clinical Decision-Support, Order Entry, Notes Capture and Knowledge Maintenance at Vanderbilt

Douglas A. Talbert, Antoine Geissbühler, Randolph A. Miller, 1999, AMIA.

An empirical analysis of techniques for constructing and searching k-dimensional trees

Douglas A. Talbert, Douglas H. Fisher, 2000, KDD '00.

A Grassroots Resource Locator System for Rural Healthcare Providers

Douglas A. Talbert, Jameson P. Porter, Chet Gentry, 2005, AMIA.

A Review of the Fourteenth International Conference on Machine Learning

Douglas A. Talbert, Cen Li, Douglas H. Fisher, 1998, Intell. Data Anal..

Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees

Douglas A. Talbert, Douglas H. Fisher, 1999, IDA.

Design Challenges for Web-Based Database Maintenance

Douglas A. Talbert, Antoine Geissbühler, 1999, AMIA.

Research Paper: Interventions to Regulate Ordering of Serum Magnesium Levels: Report of an Unintended Consequence of Decision Support

Douglas A. Talbert, Randolph A. Miller, S. Trent Rosenbloom, 2005, J. Am. Medical Informatics Assoc..

Biologically Extending the Gen 2 ANN Model

Douglas A. Talbert, Jesse Roberts, Jesse Roberts, 2019, FLAIRS.

Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data

Douglas A. Talbert, Muhammad Ismail, Nathan Martindale, 2020, Inf..

Integrating Decision Support into Computerized Physician Order Entry

Douglas A. Talbert, S. Trent Rosenbloom, Dominik Aronsky, 2001, AMIA.

Mimic Learning to Generate a Shareable Network Intrusion Detection Model

Mohamed Baza, Douglas A. Talbert, Mohamed Mahmoud, 2019, 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC).

Never-Ending Medical Learning

William Eberle, Douglas A. Talbert, Mei Liu, 2016, AMIA.

Developing a Methodology to Improve the Allocation of Specialized Health Resources for Acutely Injured Persons

Douglas A. Talbert, Steve Talbert, S. Talbert, 2003, AMIA.

A Decision Support System to Promote Oral Antibiotic Dosing

Douglas A. Talbert, S. Trent Rosenbloom, Todd M. Hulgan, 2002, AMIA.

Analytic and adaptive techniques for improving nearest-neighbor search performance in k-dimensional trees

Douglas A. Talbert, Douglas H. Fisher, 2001 .

Weathering MindStorms with drizzle and DIODE in CS0

Douglas A. Talbert, Martha J. Kosa, Jameson P. Porter, 2005, ITiCSE '05.

Interactive Knowledge Frontier Discovery with COBWEB-KFD

Douglas A. Talbert, Steve Talbert, Matt Honeycutt, 2010, FLAIRS Conference.

Estimating Uncertainty in Deep Image Classification

Douglas A. Talbert, Katherine E. Brown, 2019, AMIA.

Research Paper: Effect of CPOE User Interface Design on User-Initiated Access to Educational and Patient Information during Clinical Care

William W. Stead, Douglas A. Talbert, Antoine Geissbühler, 2005, J. Am. Medical Informatics Assoc..

Using Subgroup Discovery Metrics to Mine Interesting Subgraphs

Douglas A. Talbert, Zach Cleghern, Russ Neely, 2015, FLAIRS.

OPT-KD: An Algorithm for Optimizing Kd-Trees

Douglas A. Talbert, Douglas H. Fisher, 1999, ICML.

Subgroup Discovery in Sequential Databases

Douglas A. Talbert, Rina Singh, Jeffrey A. Graves, 2018, FLAIRS Conference.

A computer based intervention on the appropriate use of arterial blood gas

Douglas A. Talbert, Randolph A. Miller, Dominik Aronsky, 2001, AMIA.

Implementing Computerized Decision Support for Ordering Titratable Drugs in a Pediatric Critical Care Unit

Douglas A. Talbert, N. R. Patel, Fred R. Hargrove, 2002, AMIA.

Uncertainty Quantification in Multimodal Ensembles of Deep Learners

Douglas A. Talbert, Katherine E. Brown, Farzana Ahamed Bhuiyan, 2020, FLAIRS.

Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities, Challenges, and Lessons Learned

Douglas A. Talbert, Donald Walker, Paul Tinker, 2017, FLAIRS Conference.

Prefix and Suffix Sequential Pattern Mining

William Eberle, Douglas A. Talbert, Rina Singh, 2018, MLDM.

On the utility of HCI practices in improving a commercial information retrieval system

Douglas A. Talbert, James Kolpack, Matt Honeycutt, 2010 .

Embedding Drug Dispensing Logic to Provide a More Intelligent Clinician Order Entry/Pharmacy Interface

Douglas A. Talbert, Fred R. Hargrove, 2001, AMIA.

Surveying Housestaff Opinions Regarding Clinical Decision Support

Douglas A. Talbert, S. Trent Rosenbloom, Dominik Aronsky, 2002, AMIA.

Correlating Information Use with Cost and Quality in a Rural ACO

Douglas A. Talbert, Kenneth R. Currie, Steve Talbert, 2014, AMIA.

Prefix and Suffix Sequential Pattern Mining

William Eberle, Douglas A. Talbert, Rina Singh, 2018, ICDM.

Anomalies in Students Enrollment Using Visualization

Lenin Mookiah, William Eberle, Douglas A. Talbert, 2017, FLAIRS Conference.

Clinicians' perceptions of clinical decision support integrated into computerized provider order entry

Douglas A. Talbert, S. Trent Rosenbloom, Dominik Aronsky, 2004, Int. J. Medical Informatics.

Counterfactual Examples for Data Augmentation: A Case Study

Douglas A. Talbert, Md. Golam Moula Mehedi Hasan, 2021, FLAIRS Conference.

FAWCA: A Flexible-greedy Approach to ﬁnd Well-tuned CNN Architecture for Image Recognition Problem

Douglas A. Talbert, Md Mosharaf Hossain, R. Kannan, 2018 .

Finding a Balance Between Interestingness and Diversity in Sequential Pattern Mining

Douglas A. Talbert, L. Waitman, Rina Singh, 2018 .

Data Augmentation using Counterfactuals: Proximity vs Diversity

Douglas A. Talbert, Md. Golam Moula Mehedi Hasan, 2022, FLAIRS.

Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach

Douglas A. Talbert, Md. Golam Moula Mehedi Hasan, 2022, FLAIRS.

Using Explainable AI to Measure Feature Contribution to Uncertainty

Douglas A. Talbert, Katherine E. Brown, 2022, FLAIRS.

Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets

Douglas A. Talbert, Brandon Hines, Steven Anton, 2022, FLAIRS.

Toward Never-Ending Learner for Malware Analysis (NELMA)

Douglas A. Talbert, Moumita Kamal, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques

Douglas A. Talbert, Prabin B. Lamichhane, Rajesh Manicavasagam, 2022, FLAIRS.

A Neural Network Approach for Predicting Microstructure Development in Cement

Douglas A. Talbert, J. Biernacki, W. Eberle, 2016 .

A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression

Douglas A. Talbert, Katherine E. Brown, 2022, FLAIRS.

The Uncertainty of Counterfactuals in Deep Learning

Douglas A. Talbert, Katherine Elizabeth Brown, Doug Talbert, 2021, FLAIRS.

Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models

Douglas A. Talbert, Katherine E. Brown, Steve Talbert, 2023, FLAIRS.

Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat

Douglas A. Talbert, H. Hagy, Collins Owusu, 2023, FLAIRS.