| 2026 | FlAIRS | Accuracy Is Not Enough - Rethinking Model Selection for Clinical Machine Learning. | Moumita Kamal, Douglas A. Talbert, Nolan Patterson, Nicholas Atkins, Celia Hough |
| 2026 | FlAIRS | A Human-Centered Approach to Identifying the Challenges of Automatic Generation of Clinically Comprehensible Trauma Triage Explanations. | Douglas A. Talbert, Steve Talbert, Nicholas Atkins, Katherine L. Phillips, Nolan Patterson, Moumita Kamal |
| 2025 | FlAIRS | Towards Trustworthy AI: Analyzing Model Uncertainty through Monte Carlo Dropout and Noise Injection. | Chern Chao Tai, Wesam Al Amiri, Abhijeet Solanki, Douglas A. Talbert, Nan Guo, Syed Rafay Hasan |
| 2025 | FlAIRS | Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data. | Douglas A. Talbert, Katherine L. Phillips |
| 2024 | FlAIRS | Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems. | Eric L. Brown, Douglas A. Talbert |
| 2024 | FlAIRS | Beyond Size and Accuracy: The Impact of Model Compression on Fairness. | Moumita Kamal, Douglas A. Talbert |
| 2024 | FlAIRS | Preface. | Soon Ae Chun, Douglas A. Talbert |
| 2023 | FlAIRS | Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. | Mateo Gannod, Nicholas Masto, Collins Owusu, Cory Highway, Katherine E. Brown, Abigail Blake-Bradshaw, Jamie Feddersen, Heath Hagy, Douglas A. Talbert, Bradley Cohen |
| 2023 | FlAIRS | Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models. | Katherine L. Phillips, Katherine E. Brown, Steve Talbert, Douglas A. Talbert |
| 2022 | FlAIRS | A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. | Katherine E. Brown, Douglas A. Talbert |
| 2022 | FlAIRS | Using Explainable AI to Measure Feature Contribution to Uncertainty. | Katherine E. Brown, Douglas A. Talbert |
| 2022 | FlAIRS | Data Augmentation using Counterfactuals: Proximity vs Diversity. | Md. Golam Moula Mehedi Hasan, Douglas A. Talbert |
| 2022 | FlAIRS | Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach. | Md. Golam Moula Mehedi Hasan, Douglas A. Talbert |
| 2022 | FlAIRS | Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets. | Brandon Hines, Douglas A. Talbert, Steven R. Anton |
| 2022 | FlAIRS | Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques. | Rajesh Manicavasagam, Prabin B. Lamichhane, Prajjwal Kandel, Douglas A. Talbert |
| 2021 | AMIA | Trauma Triage in an Information Rich Environment. | Douglas A. Talbert, Steve Talbert |
| 2021 | FlAIRS | The Uncertainty of Counterfactuals in Deep Learning. | Katherine E. Brown, Douglas A. Talbert, Steve Talbert |
| 2021 | FlAIRS | Counterfactual Examples for Data Augmentation: A Case Study. | Md. Golam Moula Mehedi Hasan, Douglas A. Talbert |
| 2020 | CISS | Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning. | Md. Ahsan Ayub, William A. Johnson, Douglas A. Talbert, Ambareen Siraj |
| 2020 | FlAIRS | Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection. | Farzana Ahamed Bhuiyan, Katherine E. Brown, Md Bulbul Sharif, Quentin D. Johnson, Douglas A. Talbert |
| 2020 | FlAIRS | Uncertainty Quantification in Multimodal Ensembles of Deep Learners. | Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert |
| 2019 | AMIA | Estimating Uncertainty in Deep Image Classification. | Katherine E. Brown, Douglas A. Talbert |
| 2019 | FlAIRS | Gene Selection and Clustering of Breast Cancer Data. | Farzana Ahamed Bhuiyan, Md Bulbul Sharif, Paul Joshua Tinker, William Eberle, Douglas A. Talbert, Sheikh Khaled Ghafoor, Lewis J. Frey |
| 2019 | FlAIRS | Biologically Extending the Gen 2 ANN Model. | Jesse Roberts, Douglas A. Talbert |
| 2018 | AMIA | Multi-Task Correlation-Based Feature Selection for Gene Expression Data. | Katherine E. Brown, Douglas A. Talbert |
| 2018 | AMIA | Mining Interesting, Non-Redundant Healthcare Trajectories. | Rina Singh, Jeffery Graves, Susan E. Piras, Lemuel R. Waitman, Michael Prittie, Douglas A. Talbert |
| 2018 | FIE | Establishing an Agile Mindset and Culture for Workforce Preparedness: A Baseline Study. | Gerald C. Gannod, Willam F. Eberle, Douglas A. Talbert, Robert A. Cooke, Kathy Hagler, Kathy Opp, Jasmin Baniya |
| 2018 | FlAIRS | Subgroup Discovery in Sequential Databases. | Rina Singh, Jeffrey A. Graves, Douglas A. Talbert |
| 2018 | FlAIRS | Special Track on Artficial Intelligence in Healthcare Informatics. | Douglas A. Talbert, Steve Talbert |
| 2017 | FlAIRS | Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. | Ramesh Paudel, William Eberle, Douglas A. Talbert |
| 2017 | FlAIRS | Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities, Challenges, and Lessons Learned. | Douglas A. Talbert, Paul Tinker, Tom Crowther, Donald Walker |
| 2017 | FlAIRS | Anomalies in Students Enrollment Using Visualization. | Nishith Mukeshkumar Thakkar, Lenin Mookiah, Douglas A. Talbert, William Eberle |
| 2016 | AMIA | Never-Ending Medical Learning. | Douglas A. Talbert, William Eberle, Mei Liu |
| 2016 | WWW | Complex Patterns in Dynamic Attributed Graphs. | Rina Singh, Jeffrey A. Graves, Douglas A. Talbert |
| 2015 | FlAIRS | Using Subgroup Discovery Metrics to Mine Interesting Subgraphs. | Russ Neely, Zach Cleghern, Douglas A. Talbert |
| 2014 | AMIA | Correlating Information Use with Cost and Quality in a Rural ACO. | Douglas A. Talbert, Harold Chertok, Kenneth R. Currie, Rebecca L. Turpin, Steve Talbert |
| 2014 | FlAIRS | Special Track on Artificial Intelligence in Healthcare Informatics. | Douglas A. Talbert, Steve Talbert |
| 2013 | FlAIRS | Special Track on Artificial Intelligence in Healthcare Informatics. | Douglas A. Talbert, Steve Talbert |
| 2010 | FlAIRS | Interactive Knowledge Frontier Discovery with COBWEB-KFD. | Matt Honeycutt, Douglas A. Talbert, Steve Talbert |
| 2005 | AMIA | A Grassroots Resource Locator System for Rural Healthcare Providers. | Jameson P. Porter, Chet Gentry, Douglas A. Talbert |
| 2005 | AMIA | Predicting Cancer Type with Dimensionality-Reduced Gene Expression Micro-Array Data. | Marc Santoro, Douglas A. Talbert |
| 2005 | AMIA | An Incremental Pharmacy Informatics Model for Use in a Rural Hospital. | Douglas A. Talbert, Edward Roush, Luis Velazco, Casey White |
| 2005 | ITiCSE | Weathering MindStorms with drizzle and DIODE in CS0. | J. C. Ernest, A. S. Bowser, S. Ghule, S. Sudireddy, Jameson P. Porter, Douglas A. Talbert, Martha J. Kosa |
| 2003 | AMIA | Developing a Methodology to Improve the Allocation of Specialized Health Resources for Acutely Injured Persons. | Steve Talbert, Douglas A. Talbert |
| 2002 | AMIA | A Decision Support System to Promote Oral Antibiotic Dosing. | Todd M. Hulgan, Fred R. Hargrove, Douglas A. Talbert, S. Trent Rosenbloom |
| 2002 | AMIA | Surveying Housestaff Opinions Regarding Clinical Decision Support. | S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky |
| 2002 | AMIA | Implementing Computerized Decision Support for Ordering Titratable Drugs in a Pediatric Critical Care Unit. | Douglas A. Talbert, N. R. Patel, Lorianne Wright, Fred R. Hargrove |
| 2001 | AMIA | A computer based intervention on the appropriate use of arterial blood gas. | P. Bansal, Dominik Aronsky, Douglas A. Talbert, Randolph A. Miller |
| 2001 | AMIA | A Data Model to Represent Clinically Oriented Drug Dosing Rules. | Rodney M. Hamilton, Douglas A. Talbert, Phillip W. Stewart |
| 2001 | AMIA | Integrating Decision Support into Computerized Physician Order Entry. | S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky |
| 2001 | AMIA | User Communication and Problem Tracking: A Multi-faceted Approach to Rapid Application Development. | John Stone, Douglas A. Talbert, Antoine Geissbhler, Dominik Aronsky, Randolph A. Miller |
| 2001 | AMIA | Embedding Drug Dispensing Logic to Provide a More Intelligent Clinician Order Entry/Pharmacy Interface. | Douglas A. Talbert, Fred R. Hargrove |
| 2000 | AMIA | Experience using a programmable rules engine to implement a complex medical protocol during order entry. | John Starmer, Douglas A. Talbert, Randolph A. Miller |
| 2000 | KDD | An empirical analysis of techniques for constructing and searching k-dimensional trees. | Douglas A. Talbert, Douglas H. Fisher |
| 1999 | AMIA | Clinical Decision-Support, Order Entry, Notes Capture and Knowledge Maintenance at Vanderbilt. | Antoine Geissbhler, Douglas A. Talbert, Jonathan Grande, Randolph A. Miller |
| 1999 | AMIA | Design Challenges for Web-Based Database Maintenance. | Douglas A. Talbert, Antoine Geissbhler |
| 1999 | ICML | OPT-KD: An Algorithm for Optimizing Kd-Trees. | Douglas A. Talbert, Douglas H. Fisher |
| 1999 | IDA | Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees. | Douglas A. Talbert, Douglas H. Fisher |
| 1997 | AISTATS | Inference using Probabilistic Concept Trees. | Douglas H. Fisher, Douglas A. Talbert |