Douglas A. Talbert

Orcid: 0000-0001-8073-1134

According to our database1, Douglas A. Talbert authored at least 62 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022
Anomaly Detection for a Water Treatment System Based on One-Class Neural Network.
IEEE Access, 2022

Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Data Augmentation using Counterfactuals: Proximity vs Diversity.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Using Explainable AI to Measure Feature Contribution to Uncertainty.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021
Counterfactual Examples for Data Augmentation: A Case Study.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

The Uncertainty of Counterfactuals in Deep Learning.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Trauma Triage in an Information Rich Environment.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data.
Inf., 2020

Uncertainty Quantification in Multimodal Ensembles of Deep Learners.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

Mimic Learning to Generate a Shareable Network Intrusion Detection Model.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

Toward Never-Ending Learner for Malware Analysis (NELMA).
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy.
CoRR, 2019

Biologically Extending the Gen 2 ANN Model.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Gene Selection and Clustering of Breast Cancer Data.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Estimating Uncertainty in Deep Image Classification.
Proceedings of the AMIA 2019, 2019

Heuristically Reducing the Cost of Correlation-based Feature Selection.
Proceedings of the 2019 ACM Southeast Conference, 2019

2018
Prefix and Suffix Sequential Pattern Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Special Track on Artficial Intelligence in Healthcare Informatics.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Subgroup Discovery in Sequential Databases.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Establishing an Agile Mindset and Culture for Workforce Preparedness: A Baseline Study.
Proceedings of the IEEE Frontiers in Education Conference, 2018

Mining Interesting, Non-Redundant Healthcare Trajectories.
Proceedings of the AMIA 2018, 2018

Multi-Task Correlation-Based Feature Selection for Gene Expression Data.
Proceedings of the AMIA 2018, 2018

2017
Anomalies in Students Enrollment Using Visualization.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities, Challenges, and Lessons Learned.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Complex Patterns in Dynamic Attributed Graphs.
Proceedings of the 25th International Conference on World Wide Web, 2016

Never-Ending Medical Learning.
Proceedings of the AMIA 2016, 2016

2015
Using Subgroup Discovery Metrics to Mine Interesting Subgraphs.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
Correlating Information Use with Cost and Quality in a Rural ACO.
Proceedings of the AMIA 2014, 2014

2013
Special Track on Artificial Intelligence in Healthcare Informatics.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2011
A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

2010
Interactive Knowledge Frontier Discovery with COBWEB-KFD.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2005
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., 2005

Research Paper: Interventions to Regulate Ordering of Serum Magnesium Levels: Report of an Unintended Consequence of Decision Support.
J. Am. Medical Informatics Assoc., 2005

Weathering MindStorms with drizzle and DIODE in CS0.
Proceedings of the 10th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2005

An Incremental Pharmacy Informatics Model for Use in a Rural Hospital.
Proceedings of the AMIA 2005, 2005

Predicting Cancer Type with Dimensionality-Reduced Gene Expression Micro-Array Data.
Proceedings of the AMIA 2005, 2005

A Grassroots Resource Locator System for Rural Healthcare Providers.
Proceedings of the AMIA 2005, 2005

2004
Clinicians' perceptions of clinical decision support integrated into computerized provider order entry.
Int. J. Medical Informatics, 2004

2003
Developing a Methodology to Improve the Allocation of Specialized Health Resources for Acutely Injured Persons.
Proceedings of the AMIA 2003, 2003

2002
Implementing Computerized Decision Support for Ordering Titratable Drugs in a Pediatric Critical Care Unit.
Proceedings of the AMIA 2002, 2002

Surveying Housestaff Opinions Regarding Clinical Decision Support.
Proceedings of the AMIA 2002, 2002

A Decision Support System to Promote Oral Antibiotic Dosing.
Proceedings of the AMIA 2002, 2002

2001
Embedding Drug Dispensing Logic to Provide a More Intelligent Clinician Order Entry/Pharmacy Interface.
Proceedings of the AMIA 2001, 2001

User Communication and Problem Tracking: A Multi-faceted Approach to Rapid Application Development.
Proceedings of the AMIA 2001, 2001

Integrating Decision Support into Computerized Physician Order Entry.
Proceedings of the AMIA 2001, 2001

A Data Model to Represent Clinically Oriented Drug Dosing Rules.
Proceedings of the AMIA 2001, 2001

A computer based intervention on the appropriate use of arterial blood gas.
Proceedings of the AMIA 2001, 2001

2000
An empirical analysis of techniques for constructing and searching k-dimensional trees.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Experience using a programmable rules engine to implement a complex medical protocol during order entry.
Proceedings of the AMIA 2000, 2000

1999
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

OPT-KD: An Algorithm for Optimizing Kd-Trees.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Design Challenges for Web-Based Database Maintenance.
Proceedings of the AMIA 1999, 1999

Clinical Decision-Support, Order Entry, Notes Capture and Knowledge Maintenance at Vanderbilt.
Proceedings of the AMIA 1999, 1999

1998
A Review of the Fourteenth International Conference on Machine Learning.
Intell. Data Anal., 1998


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