Douglas A. Talbert

77 papers A* 3A 1B 2C 1Misc 52Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Downsized and Compromised?: Assessing the Faithfulness of Model Compression. CoRR Moumita Kamal, Douglas A. Talbert
2025	Misc	`conf`	Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data. FLAIRS Douglas A. Talbert, Katherine L. Phillips
2025	Misc	`ed.`	Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2025, Daytona Beach, FL, USA, May 20-23, 2025 FLAIRS Douglas A. Talbert, Ismaïl Biskri
2025	Misc	`conf`	Towards Trustworthy AI: Analyzing Model Uncertainty through Monte Carlo Dropout and Noise Injection. FLAIRS Chern Chao Tai, Wesam Al Amiri, Abhijeet Solanki, Douglas A. Talbert, Nan Guo, Syed Rafay Hasan
2024	J	`jnl`	Advances in Explainable, Fair, and Trustworthy AI. Int. J. Artif. Intell. Tools Sheikh Rabiul Islam, Ingrid Russell, William Eberle, Douglas A. Talbert, Md Golam Moula Mehedi Hasan
2024	J	`jnl`	Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage. Int. J. Artif. Intell. Tools Douglas A. Talbert, Katherine L. Phillips, Katherine E. Brown, Steve Talbert
2024	Misc	`conf`	Beyond Size and Accuracy: The Impact of Model Compression on Fairness. FLAIRS Moumita Kamal, Douglas A. Talbert
2024	Misc	`conf`	Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems. FLAIRS Eric L. Brown, Douglas A. Talbert
2024	Misc	`conf`	Preface. FLAIRS Soon Ae Chun, Douglas A. Talbert
2024	J	`jnl`	Preface. Int. J. Artif. Intell. Tools Ingrid Russell, Sheikh Rabiul Islam, William Eberle, Douglas A. Talbert, Md Golam Moula Mehedi Hasan
2024	Misc	`ed.`	Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024, Sandestin Beach, FL, USA, May 19-21, 2024 FLAIRS Soon Ae Chun, Douglas A. Talbert
2023	Misc	`conf`	Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models. FLAIRS Katherine L. Phillips, Katherine E. Brown, Steve Talbert, Douglas A. Talbert
2023	Misc	`conf`	Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. FLAIRS Mateo Gannod, Nicholas Masto, Collins Owusu, Cory Highway, Katherine E. Brown, Abigail Blake-Bradshaw, Jamie Feddersen, Heath Hagy, Douglas A. Talbert, Bradley Cohen
2022	Misc	`conf`	A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. FLAIRS Katherine E. Brown, Douglas A. Talbert
2022	J	`jnl`	Anomaly Detection for a Water Treatment System Based on One-Class Neural Network. IEEE Access Emmanuel Aboah Boateng, Jerry W. Bruce, Douglas A. Talbert
2022	Misc	`conf`	Data Augmentation using Counterfactuals: Proximity vs Diversity. FLAIRS Md. Golam Moula Mehedi Hasan, Douglas A. Talbert
2022	Misc	`conf`	Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques. FLAIRS Rajesh Manicavasagam, Prabin B. Lamichhane, Prajjwal Kandel, Douglas A. Talbert
2022	Misc	`conf`	Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets. FLAIRS Brandon Hines, Douglas A. Talbert, Steven Anton
2022	Misc	`conf`	Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach. FLAIRS Md. Golam Moula Mehedi Hasan, Douglas A. Talbert
2022	Misc	`conf`	Using Explainable AI to Measure Feature Contribution to Uncertainty. FLAIRS Katherine E. Brown, Douglas A. Talbert
2021	Misc	`conf`	Counterfactual Examples for Data Augmentation: A Case Study. FLAIRS Md. Golam Moula Mehedi Hasan, Douglas A. Talbert
2021	Misc	`conf`	The Uncertainty of Counterfactuals in Deep Learning. FLAIRS Katherine E. Brown, Douglas A. Talbert, Steve Talbert
2021	Misc	`conf`	Trauma Triage in an Information Rich Environment. AMIA Douglas A. Talbert, Steve Talbert
2020	Misc	`conf`	Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection. FLAIRS Farzana Ahamed Bhuiyan, Katherine E. Brown, Md Bulbul Sharif, Quentin D. Johnson, Douglas A. Talbert
2020	J	`jnl`	Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data. Inf. Nathan Martindale, Muhammad Ismail, Douglas A. Talbert
2020	—	`conf`	Mimic Learning to Generate a Shareable Network Intrusion Detection Model. CCNC Ahmed Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud
2020	Misc	`conf`	Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning. CISS Md. Ahsan Ayub, William A. Johnson, Douglas A. Talbert, Ambareen Siraj
2020	—	`conf`	Toward Never-Ending Learner for Malware Analysis (NELMA). IEEE BigData Moumita Kamal, Douglas A. Talbert
2020	Misc	`conf`	Uncertainty Quantification in Multimodal Ensembles of Deep Learners. FLAIRS Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert
2019	Misc	`conf`	Biologically Extending the Gen 2 ANN Model. FLAIRS Jesse Roberts, Douglas A. Talbert
2019	Misc	`conf`	Estimating Uncertainty in Deep Image Classification. AMIA Katherine E. Brown, Douglas A. Talbert
2019	Misc	`conf`	Gene Selection and Clustering of Breast Cancer Data. FLAIRS Farzana Ahamed Bhuiyan, Md Bulbul Sharif, Paul Joshua Tinker, William Eberle, Douglas A. Talbert, Sheikh Khaled Ghafoor, Lewis J. Frey
2019	—	`conf`	Heuristically Reducing the Cost of Correlation-based Feature Selection. ACM Southeast Regional Conference Katherine E. Brown, Douglas A. Talbert
2019	J	`jnl`	Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy. CoRR Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Sid C. Bundy, Douglas A. Talbert, Ambareen Siraj
2019	J	`jnl`	Mimic Learning to Generate a Shareable Network Intrusion Detection Model. CoRR Ahmad Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud
2018	C	`conf`	Establishing an Agile Mindset and Culture for Workforce Preparedness: A Baseline Study. FIE Gerald C. Gannod, Willam F. Eberle, Douglas A. Talbert, Robert A. Cooke, Kathy Hagler, Kathy Opp, Jasmin Baniya
2018	Misc	`conf`	Mining Interesting, Non-Redundant Healthcare Trajectories. AMIA Rina Singh, Jeffery Graves, Susan E. Piras, Lemuel R. Waitman, Michael Prittie, Douglas A. Talbert
2018	Misc	`conf`	Multi-Task Correlation-Based Feature Selection for Gene Expression Data. AMIA Katherine E. Brown, Douglas A. Talbert
2018	A*	`conf`	Prefix and Suffix Sequential Pattern Mining. ICDM Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle
2018	—	`conf`	Prefix and Suffix Sequential Pattern Mining. MLDM (1) Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle
2018	Misc	`conf`	Special Track on Artficial Intelligence in Healthcare Informatics. FLAIRS Douglas A. Talbert, Steve Talbert
2018	Misc	`conf`	Subgroup Discovery in Sequential Databases. FLAIRS Rina Singh, Jeffrey A. Graves, Douglas A. Talbert
2017	Misc	`conf`	Anomalies in Students Enrollment Using Visualization. FLAIRS Nishith Mukeshkumar Thakkar, Lenin Mookiah, Douglas A. Talbert, William Eberle
2017	Misc	`conf`	Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. FLAIRS Ramesh Paudel, William Eberle, Douglas A. Talbert
2017	Misc	`conf`	Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities, Challenges, and Lessons Learned. FLAIRS Douglas A. Talbert, Paul Tinker, Tom Crowther, Donald Walker
2016	—	`conf`	Complex Patterns in Dynamic Attributed Graphs. WWW (Companion Volume) Rina Singh, Jeffrey A. Graves, Douglas A. Talbert
2016	Misc	`conf`	Never-Ending Medical Learning. AMIA Douglas A. Talbert, William Eberle, Mei Liu
2015	Misc	`conf`	Using Subgroup Discovery Metrics to Mine Interesting Subgraphs. FLAIRS Russ Neely, Zach Cleghern, Douglas A. Talbert
2014	Misc	`conf`	Correlating Information Use with Cost and Quality in a Rural ACO. AMIA Douglas A. Talbert, Harold Chertok, Kenneth R. Currie, Rebecca L. Turpin, Steve Talbert
2014	Misc	`conf`	Special Track on Artificial Intelligence in Healthcare Informatics. FLAIRS Douglas A. Talbert, Steve Talbert
2013	Misc	`conf`	Special Track on Artificial Intelligence in Healthcare Informatics. FLAIRS Douglas A. Talbert, Steve Talbert
2011	—	`conf`	A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage. MLDM Douglas A. Talbert, Matt Honeycutt, Steve Talbert
2010	Misc	`conf`	Interactive Knowledge Frontier Discovery with COBWEB-KFD. FLAIRS Matt Honeycutt, Douglas A. Talbert, Steve Talbert
2005	Misc	`conf`	A Grassroots Resource Locator System for Rural Healthcare Providers. AMIA Jameson P. Porter, Chet Gentry, Douglas A. Talbert
2005	Misc	`conf`	An Incremental Pharmacy Informatics Model for Use in a Rural Hospital. AMIA Douglas A. Talbert, Edward Roush, Luis Velazco, Casey White
2005	Misc	`conf`	Predicting Cancer Type with Dimensionality-Reduced Gene Expression Micro-Array Data. AMIA Marc Santoro, Douglas A. Talbert
2005	J	`jnl`	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. 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
2005	J	`jnl`	Research Paper: Interventions to Regulate Ordering of Serum Magnesium Levels: Report of an Unintended Consequence of Decision Support. J. Am. Medical Informatics Assoc. S. Trent Rosenbloom, Kou-Wei Chiu, Daniel W. Byrne, Douglas A. Talbert, Eric G. Neilson, Randolph A. Miller
2005	B	`conf`	Weathering MindStorms with drizzle and DIODE in CS0. ITiCSE J. C. Ernest, A. S. Bowser, S. Ghule, S. Sudireddy, Jameson P. Porter, Douglas A. Talbert, Martha J. Kosa
2004	J	`jnl`	Clinicians' perceptions of clinical decision support integrated into computerized provider order entry. Int. J. Medical Informatics S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky
2003	Misc	`conf`	Developing a Methodology to Improve the Allocation of Specialized Health Resources for Acutely Injured Persons. AMIA Steve Talbert, Douglas A. Talbert
2002	Misc	`conf`	A Decision Support System to Promote Oral Antibiotic Dosing. AMIA Todd M. Hulgan, Fred R. Hargrove, Douglas A. Talbert, S. Trent Rosenbloom
2002	Misc	`conf`	Implementing Computerized Decision Support for Ordering Titratable Drugs in a Pediatric Critical Care Unit. AMIA Douglas A. Talbert, N. R. Patel, Lorianne Wright, Fred R. Hargrove
2002	Misc	`conf`	Surveying Housestaff Opinions Regarding Clinical Decision Support. AMIA S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky
2001	Misc	`conf`	A Data Model to Represent Clinically Oriented Drug Dosing Rules. AMIA Rodney M. Hamilton, Douglas A. Talbert, Phillip W. Stewart
2001	Misc	`conf`	A computer based intervention on the appropriate use of arterial blood gas. AMIA P. Bansal, Dominik Aronsky, Douglas A. Talbert, Randolph A. Miller
2001	Misc	`conf`	Embedding Drug Dispensing Logic to Provide a More Intelligent Clinician Order Entry/Pharmacy Interface. AMIA Douglas A. Talbert, Fred R. Hargrove
2001	Misc	`conf`	Integrating Decision Support into Computerized Physician Order Entry. AMIA S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky
2001	Misc	`conf`	User Communication and Problem Tracking: A Multi-faceted Approach to Rapid Application Development. AMIA John Stone, Douglas A. Talbert, Antoine Geissbühler, Dominik Aronsky, Randolph A. Miller
2000	A*	`conf`	An empirical analysis of techniques for constructing and searching k-dimensional trees. KDD Douglas A. Talbert, Douglas H. Fisher
2000	Misc	`conf`	Experience using a programmable rules engine to implement a complex medical protocol during order entry. AMIA John Starmer, Douglas A. Talbert, Randolph A. Miller
1999	Misc	`conf`	Clinical Decision-Support, Order Entry, Notes Capture and Knowledge Maintenance at Vanderbilt. AMIA Antoine Geissbühler, Douglas A. Talbert, Jonathan Grande, Randolph A. Miller
1999	Misc	`conf`	Design Challenges for Web-Based Database Maintenance. AMIA Douglas A. Talbert, Antoine Geissbühler
1999	B	`conf`	Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees. IDA Douglas A. Talbert, Douglas H. Fisher
1999	A*	`conf`	OPT-KD: An Algorithm for Optimizing Kd-Trees. ICML Douglas A. Talbert, Douglas H. Fisher
1998	J	`jnl`	A Review of the Fourteenth International Conference on Machine Learning. Intell. Data Anal. Lewis J. Frey, Cen Li, Douglas A. Talbert, Douglas H. Fisher
1997	A	`conf`	Inference using Probabilistic Concept Trees. AISTATS Douglas H. Fisher, Douglas A. Talbert