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Douglas A. Talbert
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2020 – today
- 2024
- [j9]Ingrid Russell, Sheikh Rabiul Islam, William Eberle, Douglas A. Talbert, Md Golam Moula Mehedi Hasan:
Preface. Int. J. Artif. Intell. Tools 33(3): 2402001:1-2402001:3 (2024) - [j8]Sheikh Rabiul Islam, Ingrid Russell, William Eberle, Douglas A. Talbert, Md Golam Moula Mehedi Hasan:
Advances in Explainable, Fair, and Trustworthy AI. Int. J. Artif. Intell. Tools 33(3): 2403001:1-2403001:5 (2024) - [j7]Douglas A. Talbert, Katherine L. Phillips, Katherine E. Brown, Steve Talbert:
Assessing and Addressing Model Trustworthiness Trade-offs in Trauma Triage. Int. J. Artif. Intell. Tools 33(3): 2460007:1-2460007:23 (2024) - [c61]Eric L. Brown, Douglas A. Talbert
:
Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems. FLAIRS 2024 - [c60]Moumita Kamal, Douglas A. Talbert
Beyond Size and Accuracy: The Impact of Model Compression on Fairness. FLAIRS 2024 - [c59]Soon Ae Chun, Douglas A. Talbert
Preface. FLAIRS 2024 - [e1]Soon Ae Chun
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, FLAIRS 2024, Sandestin Beach, FL, USA, May 19-21, 2024. AAAI Press 2024 [contents] - 2023
- [c58]Mateo Gannod, Nicholas Masto, Collins Owusu
Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat. FLAIRS 2023 - [c57]Katherine L. Phillips, Katherine E. Brown
Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models. FLAIRS 2023 - 2022
- [j6]Emmanuel Aboah Boateng
Anomaly Detection for a Water Treatment System Based on One-Class Neural Network. IEEE Access 10: 115179-115191 (2022) - [c56]Katherine E. Brown
A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression. FLAIRS 2022 - [c55]Katherine E. Brown
Using Explainable AI to Measure Feature Contribution to Uncertainty. FLAIRS 2022 - [c54]Md. Golam Moula Mehedi Hasan, Douglas A. Talbert:
Data Augmentation using Counterfactuals: Proximity vs Diversity. FLAIRS 2022 - [c53]Md. Golam Moula Mehedi Hasan, Douglas A. Talbert:
Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach. FLAIRS 2022 - [c52]Brandon Hines, Douglas A. Talbert, Steven Anton:
Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets. FLAIRS 2022 - [c51]Rajesh Manicavasagam, Prabin B. Lamichhane, Prajjwal Kandel, Douglas A. Talbert:
Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques. FLAIRS 2022 - 2021
- [c50]Douglas A. Talbert, Steve Talbert:
Trauma Triage in an Information Rich Environment. AMIA 2021 - [c49]Katherine E. Brown
The Uncertainty of Counterfactuals in Deep Learning. FLAIRS 2021 - [c48]Md. Golam Moula Mehedi Hasan, Douglas A. Talbert:
Counterfactual Examples for Data Augmentation: A Case Study. FLAIRS 2021 - 2020
- [j5]Nathan Martindale
Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data. Inf. 11(6): 315 (2020) - [c47]Moumita Kamal, Douglas A. Talbert:
Toward Never-Ending Learner for Malware Analysis (NELMA). IEEE BigData 2020: 2291-2298 - [c46]Ahmed Shafee, Mohamed Baza
Mimic Learning to Generate a Shareable Network Intrusion Detection Model. CCNC 2020: 1-6 - [c45]Md. Ahsan Ayub
Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning. CISS 2020: 1-6 - [c44]Katherine E. Brown, Farzana Ahamed Bhuiyan, Douglas A. Talbert:
Uncertainty Quantification in Multimodal Ensembles of Deep Learners. FLAIRS 2020: 422-427 - [c43]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 2020: 434-438
2010 – 2019
- 2019
- [c42]Katherine E. Brown
Heuristically Reducing the Cost of Correlation-based Feature Selection. ACM Southeast Regional Conference 2019: 24-30 - [c41]Katherine E. Brown, Douglas A. Talbert:
Estimating Uncertainty in Deep Image Classification. AMIA 2019 - [c40]Jesse Roberts, Douglas A. Talbert:
Biologically Extending the Gen 2 ANN Model. FLAIRS 2019: 132-135 - [c39]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 2019: 287-292 - [i2]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 abs/1905.00919 (2019) - [i1]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 abs/1911.09858 (2019) - 2018
- [c38]Katherine E. Brown, Douglas A. Talbert:
Multi-Task Correlation-Based Feature Selection for Gene Expression Data. AMIA 2018 - [c37]Rina Singh, Jeffery Graves, Susan E. Piras, Lemuel R. Waitman, Michael Prittie, Douglas A. Talbert:
Mining Interesting, Non-Redundant Healthcare Trajectories. AMIA 2018 - [c36]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: 1-9 - [c35]Douglas A. Talbert, Steve Talbert:
Special Track on Artficial Intelligence in Healthcare Informatics. FLAIRS 2018: 298 - [c34]Rina Singh, Jeffrey A. Graves, Douglas A. Talbert:
Subgroup Discovery in Sequential Databases. FLAIRS 2018: 416-419 - [c33]Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle:
Prefix and Suffix Sequential Pattern Mining. ICDM 2018: 309-324 - [c32]Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle:
Prefix and Suffix Sequential Pattern Mining. MLDM (1) 2018: 296-311 - 2017
- [c31]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 2017: 140-145 - [c30]Ramesh Paudel, William Eberle, Douglas A. Talbert:
Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. FLAIRS 2017: 423-429 - [c29]Nishith Mukeshkumar Thakkar, Lenin Mookiah, Douglas A. Talbert, William Eberle:
Anomalies in Students Enrollment Using Visualization. FLAIRS 2017: 544-548 - 2016
- [c28]Douglas A. Talbert, William Eberle, Mei Liu:
Never-Ending Medical Learning. AMIA 2016 - [c27]Rina Singh, Jeffrey A. Graves, Douglas A. Talbert:
Complex Patterns in Dynamic Attributed Graphs. WWW (Companion Volume) 2016: 105-106 - 2015
- [c26]Russ Neely, Zach Cleghern, Douglas A. Talbert:
Using Subgroup Discovery Metrics to Mine Interesting Subgraphs. FLAIRS 2015: 444-447 - 2014
- [c25]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 - [c24]Douglas A. Talbert, Steve Talbert:
Special Track on Artificial Intelligence in Healthcare Informatics. FLAIRS 2014 - 2013
- [c23]Douglas A. Talbert, Steve Talbert:
Special Track on Artificial Intelligence in Healthcare Informatics. FLAIRS 2013 - 2011
- [c22]Douglas A. Talbert, Matt Honeycutt, Steve Talbert:
A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage. MLDM 2011: 348-361 - 2010
- [c21]Matt Honeycutt, Douglas A. Talbert, Steve Talbert:
Interactive Knowledge Frontier Discovery with COBWEB-KFD. FLAIRS 2010
2000 – 2009
- 2005
- [j4]S. Trent Rosenbloom, Antoine Geissbühler, William D. Dupont, Dario A. Giuse, Douglas A. Talbert, William M. Tierney, W. Dale Plummer, William W. Stead
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): 458-473 (2005) - [j3]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): 546-553 (2005) - [c20]Jameson P. Porter, Chet Gentry, Douglas A. Talbert:
A Grassroots Resource Locator System for Rural Healthcare Providers. AMIA 2005 - [c19]Marc Santoro, Douglas A. Talbert:
Predicting Cancer Type with Dimensionality-Reduced Gene Expression Micro-Array Data. AMIA 2005 - [c18]Douglas A. Talbert, Edward Roush, Luis Velazco, Casey White:
An Incremental Pharmacy Informatics Model for Use in a Rural Hospital. AMIA 2005 - [c17]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: 353 - 2004
- [j2]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): 433-441 (2004) - 2003
- [c16]Steve Talbert, Douglas A. Talbert:
Developing a Methodology to Improve the Allocation of Specialized Health Resources for Acutely Injured Persons. AMIA 2003 - 2002
- [c15]Todd M. Hulgan, Fred R. Hargrove, Douglas A. Talbert, S. Trent Rosenbloom:
A Decision Support System to Promote Oral Antibiotic Dosing. AMIA 2002 - [c14]S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky:
Surveying Housestaff Opinions Regarding Clinical Decision Support. AMIA 2002 - [c13]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 - 2001
- [c12]P. Bansal, Dominik Aronsky, Douglas A. Talbert, Randolph A. Miller:
A computer based intervention on the appropriate use of arterial blood gas. AMIA 2001 - [c11]Rodney M. Hamilton, Douglas A. Talbert, Phillip W. Stewart:
A Data Model to Represent Clinically Oriented Drug Dosing Rules. AMIA 2001 - [c10]S. Trent Rosenbloom, Douglas A. Talbert, Dominik Aronsky:
Integrating Decision Support into Computerized Physician Order Entry. AMIA 2001 - [c9]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 - [c8]Douglas A. Talbert, Fred R. Hargrove:
Embedding Drug Dispensing Logic to Provide a More Intelligent Clinician Order Entry/Pharmacy Interface. AMIA 2001 - 2000
- [c7]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 - [c6]Douglas A. Talbert, Douglas H. Fisher:
An empirical analysis of techniques for constructing and searching k-dimensional trees. KDD 2000: 26-33
1990 – 1999
- 1999
- [c5]Antoine Geissbühler, Douglas A. Talbert, Jonathan Grande, Randolph A. Miller:
Clinical Decision-Support, Order Entry, Notes Capture and Knowledge Maintenance at Vanderbilt. AMIA 1999 - [c4]Douglas A. Talbert, Antoine Geissbühler:
Design Challenges for Web-Based Database Maintenance. AMIA 1999 - [c3]Douglas A. Talbert, Douglas H. Fisher:
OPT-KD: An Algorithm for Optimizing Kd-Trees. ICML 1999: 398-405 - [c2]Douglas A. Talbert, Douglas H. Fisher:
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees. IDA 1999: 407-414 - 1998
- [j1]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): 245-255 (1998) - 1997
- [c1]Douglas H. Fisher, Douglas A. Talbert:
Inference using Probabilistic Concept Trees. AISTATS 1997: 191-202
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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