Inference using Probabilistic Concept Trees. - Douglas H. Fisher; Douglas A. Talbert (AISTATS, 1997)

A Review of the Fourteenth International Conference on Machine Learning. - Lewis J. Frey; Cen Li; Douglas A. Talbert; Douglas H. Fisher (Intell. Data Anal., 1998)

Clinical Decision-Support, Order Entry, Notes Capture and Knowledge Maintenance at Vanderbilt. - Antoine Geissbühler; Douglas A. Talbert; Jonathan Grande; Randolph A. Miller (AMIA, 1999)

Design Challenges for Web-Based Database Maintenance. - Douglas A. Talbert; Antoine Geissbühler (AMIA, 1999)

OPT-KD: An Algorithm for Optimizing Kd-Trees. - Douglas A. Talbert; Douglas H. Fisher (ICML, 1999)

Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees. - Douglas A. Talbert; Douglas H. Fisher (IDA, 1999)

Experience using a programmable rules engine to implement a complex medical protocol during order entry. - John Starmer; Douglas A. Talbert; Randolph A. Miller (AMIA, 2000)

An empirical analysis of techniques for constructing and searching k-dimensional trees. - Douglas A. Talbert; Douglas H. Fisher (KDD, 2000)

A computer based intervention on the appropriate use of arterial blood gas. - P. Bansal; Dominik Aronsky; Douglas A. Talbert; Randolph A. Miller (AMIA, 2001)

A Data Model to Represent Clinically Oriented Drug Dosing Rules. - Rodney M. Hamilton; Douglas A. Talbert; Phillip W. Stewart (AMIA, 2001)

Integrating Decision Support into Computerized Physician Order Entry. - S. Trent Rosenbloom; Douglas A. Talbert; Dominik Aronsky (AMIA, 2001)

User Communication and Problem Tracking: A Multi-faceted Approach to Rapid Application Development. - John Stone; Douglas A. Talbert; Antoine Geissbühler; Dominik Aronsky; Randolph A. Miller (AMIA, 2001)

Embedding Drug Dispensing Logic to Provide a More Intelligent Clinician Order Entry/Pharmacy Interface. - Douglas A. Talbert; Fred R. Hargrove (AMIA, 2001)

A Decision Support System to Promote Oral Antibiotic Dosing. - Todd M. Hulgan; Fred R. Hargrove; Douglas A. Talbert; S. Trent Rosenbloom (AMIA, 2002)

Surveying Housestaff Opinions Regarding Clinical Decision Support. - S. Trent Rosenbloom; Douglas A. Talbert; Dominik Aronsky (AMIA, 2002)

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 (AMIA, 2002)

Developing a Methodology to Improve the Allocation of Specialized Health Resources for Acutely Injured Persons. - Steve Talbert; Douglas A. Talbert (AMIA, 2003)

Clinicians' perceptions of clinical decision support integrated into computerized provider order entry. - S. Trent Rosenbloom; Douglas A. Talbert; Dominik Aronsky (Int. J. Medical Informatics, 2004)

A Grassroots Resource Locator System for Rural Healthcare Providers. - Jameson P. Porter; Chet Gentry; Douglas A. Talbert (AMIA, 2005)

Predicting Cancer Type with Dimensionality-Reduced Gene Expression Micro-Array Data. - Marc Santoro; Douglas A. Talbert (AMIA, 2005)

An Incremental Pharmacy Informatics Model for Use in a Rural Hospital. - Douglas A. Talbert; Edward Roush; Luis Velazco; Casey White (AMIA, 2005)

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 (ITiCSE, 2005)

Research Paper: Interventions to Regulate Ordering of Serum Magnesium Levels: Report of an Unintended Consequence of Decision Support. - S. Trent Rosenbloom; Kou-Wei Chiu; Daniel W. Byrne; Douglas A. Talbert; Eric G. Neilson; Randolph A. Miller (J. Am. Medical Informatics Assoc., 2005)

Research Paper: Effect of CPOE User Interface Design on User-Initiated Access to Educational and Patient Information during Clinical Care. - S. Trent Rosenbloom; Antoine Geissbühler; William D. Dupont; Dario A. Giuse; Douglas A. Talbert; William M. Tierney; W. Dale Plummer; William W. Stead; Randolph A. Miller (J. Am. Medical Informatics Assoc., 2005)

Interactive Knowledge Frontier Discovery with COBWEB-KFD. - Matt Honeycutt; Douglas A. Talbert; Steve Talbert (FLAIRS, 2010)

A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage. - Douglas A. Talbert; Matt Honeycutt; Steve Talbert (MLDM, 2011)

Special Track on Artificial Intelligence in Healthcare Informatics. - Douglas A. Talbert; Steve Talbert (FLAIRS, 2013)

Correlating Information Use with Cost and Quality in a Rural ACO. - Douglas A. Talbert; Harold Chertok; Kenneth R. Currie; Rebecca L. Turpin; Steve Talbert (AMIA, 2014)

Using Subgroup Discovery Metrics to Mine Interesting Subgraphs. - Russ Neely; Zach Cleghern; Douglas A. Talbert (FLAIRS, 2015)

Never-Ending Medical Learning. - Douglas A. Talbert; William Eberle; Mei Liu (AMIA, 2016)

Complex Patterns in Dynamic Attributed Graphs. - Rina Singh; Jeffrey A. Graves; Douglas A. Talbert (WWW (Companion Volume), 2016)

Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. - Ramesh Paudel; William Eberle; Douglas A. Talbert (FLAIRS, 2017)

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 (FLAIRS, 2017)

Anomalies in Students Enrollment Using Visualization. - Nishith Mukeshkumar Thakkar; Lenin Mookiah; Douglas A. Talbert; William Eberle (FLAIRS, 2017)

Multi-Task Correlation-Based Feature Selection for Gene Expression Data. - Katherine E. Brown; Douglas A. Talbert (AMIA, 2018)

Mining Interesting, Non-Redundant Healthcare Trajectories. - Rina Singh; Jeffery Graves; Susan E. Piras; Lemuel R. Waitman; Michael Prittie; Douglas A. Talbert (AMIA, 2018)

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 (FIE, 2018)

Subgroup Discovery in Sequential Databases. - Rina Singh; Jeffrey A. Graves; Douglas A. Talbert (FLAIRS, 2018)

Special Track on Artficial Intelligence in Healthcare Informatics. - Douglas A. Talbert; Steve Talbert (FLAIRS, 2018)

Prefix and Suffix Sequential Pattern Mining. - Rina Singh; Jeffrey A. Graves; Douglas A. Talbert; William Eberle (MLDM (1), 2018)

Heuristically Reducing the Cost of Correlation-based Feature Selection. - Katherine E. Brown; Douglas A. Talbert (ACM Southeast Regional Conference, 2019)

Estimating Uncertainty in Deep Image Classification. - Katherine E. Brown; Douglas A. Talbert (AMIA, 2019)

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 (FLAIRS, 2019)

Biologically Extending the Gen 2 ANN Model. - Jesse Roberts; Douglas A. Talbert (FLAIRS, 2019)

Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy. - Sheikh Rabiul Islam; William Eberle; Sheikh K. Ghafoor; Sid C. Bundy; Douglas A. Talbert; Ambareen Siraj (CoRR, 2019)

Toward Never-Ending Learner for Malware Analysis (NELMA). - Moumita Kamal; Douglas A. Talbert (IEEE BigData, 2020)

Mimic Learning to Generate a Shareable Network Intrusion Detection Model. - Ahmed Shafee; Mohamed Baza; Douglas A. Talbert; Mostafa M. Fouda; Mahmoud Nabil 001; Mohamed Mahmoud 001 (CCNC, 2020)

Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning. - Md. Ahsan Ayub; William A. Johnson; Douglas A. Talbert; Ambareen Siraj (CISS, 2020)

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 (FLAIRS, 2020)

Uncertainty Quantification in Multimodal Ensembles of Deep Learners. - Katherine E. Brown; Farzana Ahamed Bhuiyan; Douglas A. Talbert (FLAIRS, 2020)

Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data. - Nathan Martindale; Muhammad Ismail 001; Douglas A. Talbert (Inf., 2020)

Trauma Triage in an Information Rich Environment. - Douglas A. Talbert; Steve Talbert (AMIA, 2021)

The Uncertainty of Counterfactuals in Deep Learning. - Katherine E. Brown; Douglas A. Talbert; Steve Talbert (FLAIRS, 2021)

Counterfactual Examples for Data Augmentation: A Case Study. - Md. Golam Moula Mehedi Hasan; Douglas A. Talbert (FLAIRS, 2021)

A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. - Katherine E. Brown; Douglas A. Talbert (FLAIRS, 2022)

Using Explainable AI to Measure Feature Contribution to Uncertainty. - Katherine E. Brown; Douglas A. Talbert (FLAIRS, 2022)

Data Augmentation using Counterfactuals: Proximity vs Diversity. - Md. Golam Moula Mehedi Hasan; Douglas A. Talbert (FLAIRS, 2022)

Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach. - Md. Golam Moula Mehedi Hasan; Douglas A. Talbert (FLAIRS, 2022)

Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets. - Brandon Hines; Douglas A. Talbert; Steven Anton (FLAIRS, 2022)

Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques. - Rajesh Manicavasagam; Prabin B. Lamichhane; Prajjwal Kandel; Douglas A. Talbert (FLAIRS, 2022)

Anomaly Detection for a Water Treatment System Based on One-Class Neural Network. - Emmanuel Aboah Boateng; Jerry W. Bruce; Douglas A. Talbert (IEEE Access, 2022)

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 (FLAIRS, 2023)

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 (FLAIRS, 2023)

Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems. - Eric L. Brown; Douglas A. Talbert (FLAIRS, 2024)

Beyond Size and Accuracy: The Impact of Model Compression on Fairness. - Moumita Kamal; Douglas A. Talbert (FLAIRS, 2024)

Preface. - Soon Ae Chun; Douglas A. Talbert (FLAIRS, 2024)

Advances in Explainable, Fair, and Trustworthy AI. - Sheikh Rabiul Islam; Ingrid Russell; William Eberle; Douglas A. Talbert; Md Golam Moula Mehedi Hasan (Int. J. Artif. Intell. Tools, 2024)

Preface. - Ingrid Russell; Sheikh Rabiul Islam; William Eberle; Douglas A. Talbert; Md Golam Moula Mehedi Hasan (Int. J. Artif. Intell. Tools, 2024)

Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage. - Douglas A. Talbert; Katherine L. Phillips; Katherine E. Brown; Steve Talbert (Int. J. Artif. Intell. Tools, 2024)

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 (FLAIRS, 2025)

Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data. - Douglas A. Talbert; Katherine L. Phillips (FLAIRS, 2025)