Douglas A. Talbert

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 40

Top Topics

Intrusion Detection

Bankruptcy Prediction

Top Venues

FLAIRS Conference

Publications

Eric L. Brown, Douglas A. Talbert
Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems. FLAIRS (2024)
Moumita Kamal, Douglas A. Talbert
Beyond Size and Accuracy: The Impact of Model Compression on Fairness. FLAIRS (2024)
Soon Ae Chun, Douglas A. Talbert
Preface. FLAIRS (2024)
Mateo Gannod, Nicholas Masto, Collins Owusu, Cory Highway, Katherine E. Brown, Abigail Blake-Bradshaw, Jamie Feddersen, Heath Hagy, Douglas A. Talbert, Bradley Cohen
Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. FLAIRS (2023)
Katherine L. Phillips, Katherine E. Brown, Steve Talbert, Douglas A. Talbert
Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models. FLAIRS (2023)
Katherine E. Brown, Douglas A. Talbert
A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. FLAIRS (2022)
Md. Golam Moula Mehedi Hasan, Douglas A. Talbert
Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach. FLAIRS (2022)
Emmanuel Aboah Boateng, J. W. Bruce, Douglas A. Talbert
Anomaly Detection for a Water Treatment System Based on One-Class Neural Network. IEEE Access 10 (2022)
Brandon Hines, Douglas A. Talbert, Steven Anton
Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets. FLAIRS (2022)
Rajesh Manicavasagam, Prabin B. Lamichhane, Prajjwal Kandel, Douglas A. Talbert
Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques. FLAIRS (2022)
Md. Golam Moula Mehedi Hasan, Douglas A. Talbert
Data Augmentation using Counterfactuals: Proximity vs Diversity. FLAIRS (2022)
Katherine E. Brown, Douglas A. Talbert
Using Explainable AI to Measure Feature Contribution to Uncertainty. FLAIRS (2022)
Md. Golam Moula Mehedi Hasan, Douglas A. Talbert
Counterfactual Examples for Data Augmentation: A Case Study. FLAIRS Conference (2021)
Katherine E. Brown, Douglas A. Talbert, Steve Talbert
The Uncertainty of Counterfactuals in Deep Learning. FLAIRS Conference (2021)
Douglas A. Talbert, Steve Talbert
Trauma Triage in an Information Rich Environment. AMIA (2021)
Md. Ahsan Ayub, William A. Johnson, Douglas A. Talbert, Ambareen Siraj
Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning. CISS (2020)
Moumita Kamal, Douglas A. Talbert
Toward Never-Ending Learner for Malware Analysis (NELMA). IEEE BigData (2020)
Nathan Martindale, Muhammad Ismail, Douglas A. Talbert
Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data. Inf. 11 (6) (2020)
Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert
Uncertainty Quantification in Multimodal Ensembles of Deep Learners. FLAIRS Conference (2020)
Ahmed Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud
Mimic Learning to Generate a Shareable Network Intrusion Detection Model. CCNC (2020)
Farzana Ahamed Bhuiyan, Katherine E. Brown, Md Bulbul Sharif, Quentin D. Johnson, Douglas A. Talbert
Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection. FLAIRS Conference (2020)
Katherine E. Brown, Douglas A. Talbert
Heuristically Reducing the Cost of Correlation-based Feature Selection. ACM Southeast Regional Conference (2019)
Jesse Roberts, Douglas A. Talbert
Biologically Extending the Gen 2 ANN Model. FLAIRS Conference (2019)
Katherine E. Brown, Douglas A. Talbert
Estimating Uncertainty in Deep Image Classification. AMIA (2019)
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Sid C. Bundy, Douglas A. Talbert, Ambareen Siraj
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy. CoRR (2019)
Farzana Ahamed Bhuiyan, Md Bulbul Sharif, Paul Joshua Tinker, William Eberle, Douglas A. Talbert, Sheikh Khaled Ghafoor, Lewis J. Frey
Gene Selection and Clustering of Breast Cancer Data. FLAIRS Conference (2019)
Ahmad Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud
Mimic Learning to Generate a Shareable Network Intrusion Detection Model. CoRR (2019)
Douglas A. Talbert, Steve Talbert
Special Track on Artficial Intelligence in Healthcare Informatics. FLAIRS Conference (2018)
Katherine E. Brown, Douglas A. Talbert
Multi-Task Correlation-Based Feature Selection for Gene Expression Data. AMIA (2018)
Rina Singh, Jeffrey A. Graves, Douglas A. Talbert
Subgroup Discovery in Sequential Databases. FLAIRS Conference (2018)
Gerald C. Gannod, Willam F. Eberle, Douglas A. Talbert, Robert A. Cooke, Kathy Hagler, Kathy Opp, Jasmin Baniya
Establishing an Agile Mindset and Culture for Workforce Preparedness: A Baseline Study. FIE (2018)
Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle
Prefix and Suffix Sequential Pattern Mining. MLDM (1) (2018)
Rina Singh, Jeffery Graves, Susan E. Piras, Lemuel R. Waitman, Michael Prittie, Douglas A. Talbert
Mining Interesting, Non-Redundant Healthcare Trajectories. AMIA (2018)
Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle
Prefix and Suffix Sequential Pattern Mining. ICDM (2018)
Nishith Mukeshkumar Thakkar, Lenin Mookiah, Douglas A. Talbert, William Eberle
Anomalies in Students Enrollment Using Visualization. FLAIRS Conference (2017)
Ramesh Paudel, William Eberle, Douglas A. Talbert
Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. FLAIRS Conference (2017)
Douglas A. Talbert, Paul Tinker, Tom Crowther, Donald Walker
Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities, Challenges, and Lessons Learned. FLAIRS Conference (2017)
Douglas A. Talbert, William Eberle, Mei Liu
Never-Ending Medical Learning. AMIA (2016)
Rina Singh, Jeffrey A. Graves, Douglas A. Talbert
Complex Patterns in Dynamic Attributed Graphs. WWW (Companion Volume) (2016)
Russ Neely, Zach Cleghern, Douglas A. Talbert
Using Subgroup Discovery Metrics to Mine Interesting Subgraphs. FLAIRS Conference (2015)
Douglas A. Talbert, Steve Talbert
Special Track on Artificial Intelligence in Healthcare Informatics. FLAIRS Conference (2014)
Douglas A. Talbert, Harold Chertok, Kenneth R. Currie, Rebecca L. Turpin, Steve Talbert
Correlating Information Use with Cost and Quality in a Rural ACO. AMIA (2014)
Douglas A. Talbert, Steve Talbert
Special Track on Artificial Intelligence in Healthcare Informatics. FLAIRS Conference (2013)
Douglas A. Talbert, Matt Honeycutt, Steve Talbert
A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage. MLDM (2011)
Matt Honeycutt, Douglas A. Talbert, Steve Talbert
Interactive Knowledge Frontier Discovery with COBWEB-KFD. FLAIRS Conference (2010)
J. C. Ernest, A. S. Bowser, S. Ghule, S. Sudireddy, Jameson P. Porter, Douglas A. Talbert, Martha J. Kosa
Weathering MindStorms with drizzle and DIODE in CS0. ITiCSE (2005)
S. Trent Rosenbloom, Kou-Wei Chiu, Daniel W. Byrne, Douglas A. Talbert, Eric G. Neilson, Randolph A. Miller
Research Paper: Interventions to Regulate Ordering of Serum Magnesium Levels: Report of an Unintended Consequence of Decision Support. J. Am. Medical Informatics Assoc. 12 (5) (2005)
Jameson P. Porter, Chet Gentry, Douglas A. Talbert
A Grassroots Resource Locator System for Rural Healthcare Providers. AMIA (2005)
Douglas A. Talbert, Edward Roush, Luis Velazco, Casey White
An Incremental Pharmacy Informatics Model for Use in a Rural Hospital. AMIA (2005)
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
Research Paper: Effect of CPOE User Interface Design on User-Initiated Access to Educational and Patient Information during Clinical Care. J. Am. Medical Informatics Assoc. 12 (4) (2005)
Marc Santoro, Douglas A. Talbert
Predicting Cancer Type with Dimensionality-Reduced Gene Expression Micro-Array Data. AMIA (2005)
S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky
Clinicians' perceptions of clinical decision support integrated into computerized provider order entry. Int. J. Medical Informatics 73 (5) (2004)
Steve Talbert, Douglas A. Talbert
Developing a Methodology to Improve the Allocation of Specialized Health Resources for Acutely Injured Persons. AMIA (2003)
Douglas A. Talbert, N. R. Patel, Lorianne Wright, Fred R. Hargrove
Implementing Computerized Decision Support for Ordering Titratable Drugs in a Pediatric Critical Care Unit. AMIA (2002)
S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky
Surveying Housestaff Opinions Regarding Clinical Decision Support. AMIA (2002)
Todd M. Hulgan, Fred R. Hargrove, Douglas A. Talbert, S. Trent Rosenbloom
A Decision Support System to Promote Oral Antibiotic Dosing. AMIA (2002)
Rodney M. Hamilton, Douglas A. Talbert, Phillip W. Stewart
A Data Model to Represent Clinically Oriented Drug Dosing Rules. AMIA (2001)
John Stone, Douglas A. Talbert, Antoine Geissbühler, Dominik Aronsky, Randolph A. Miller
User Communication and Problem Tracking: A Multi-faceted Approach to Rapid Application Development. AMIA (2001)
Douglas A. Talbert, Fred R. Hargrove
Embedding Drug Dispensing Logic to Provide a More Intelligent Clinician Order Entry/Pharmacy Interface. AMIA (2001)
P. Bansal, Dominik Aronsky, Douglas A. Talbert, Randolph A. Miller
A computer based intervention on the appropriate use of arterial blood gas. AMIA (2001)
S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky
Integrating Decision Support into Computerized Physician Order Entry. AMIA (2001)
John Starmer, Douglas A. Talbert, Randolph A. Miller
Experience using a programmable rules engine to implement a complex medical protocol during order entry. AMIA (2000)
Douglas A. Talbert, Douglas H. Fisher
An empirical analysis of techniques for constructing and searching k-dimensional trees. KDD (2000)
Douglas A. Talbert, Douglas H. Fisher
OPT-KD: An Algorithm for Optimizing Kd-Trees. ICML (1999)
Douglas A. Talbert, Antoine Geissbühler
Design Challenges for Web-Based Database Maintenance. AMIA (1999)
Antoine Geissbühler, Douglas A. Talbert, Jonathan Grande, Randolph A. Miller
Clinical Decision-Support, Order Entry, Notes Capture and Knowledge Maintenance at Vanderbilt. AMIA (1999)
Douglas A. Talbert, Douglas H. Fisher
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees. IDA (1999)
Lewis J. Frey, Cen Li, Douglas A. Talbert, Douglas H. Fisher
A Review of the Fourteenth International Conference on Machine Learning. Intell. Data Anal. 2 (1-4) (1998)
Douglas H. Fisher, Douglas A. Talbert
Inference using Probabilistic Concept Trees. AISTATS (1997)