Publications – Douglas A. Talbert

2023

Brown KE, Talbert S, Talbert DA. “A QUEST for Model Assessment: Identifying Difficult Subgroups via Epistemic Uncertainty Quantification.” Proceedings of the American Medical Informatics Association 2023 Annual Symposium, 2023.
Phillips KL, Brown KE, Talbert S, Talbert DA. “Group Bias and the Complexity/Accuracy Tradeoff in Machine Learning-Based Trauma Triage Models.” Florida Artificial Intelligence Research Society (FLAIRS-36), 2023. (Best Student Paper Award)
Gannod M, Masto N, Owusu C, Highway C, Brown KE, Blake-Bradshaw A, Feddersen JC, Hagy HM, Talbert DA, Cohen B. “Semantic Segmentation with Multispectral Satellite Images of Waterfowl Habitat.” Florida Artificial Intelligence Research Society (FLAIRS-36), 2023.

2022

Stone GB, Talbert DA, Eberle W. A Survey of Scalable Reinforcement Learning. International Journal of Intelligent Computing Research (IJICR), 2022, 13(1).
Boateng AB, Bruce JW, Talbert DA. Anomaly Detection for a Water Treatment System Based on One-class Neural Network. IEEE Access. 2022, 10. doi: 10.1109/ACCESS.2022.3218624.
Stone GB, Talbert DA, Eberle W. Utilizing Real-Time Strategy for Penetration Testing. International Journal of Chaotic Computing (IJCC), 2022, 8(1).
Hasan MM, Talbert DA. “Mitigating the Rashomon Effect in Counterfactual Explanation: A Game-theoretic Approach.” Florida Artificial Intelligence Research Society (FLAIRS-35), 2022.
Hasan MM, Talbert DA. “Data Augmentation using Counterfactuals: Proximity vs Diversity.” Florida Artificial Intelligence Research Society (FLAIRS-35), 2022.
Brown KE, Talbert DA. “Using Explainable AI to Measure Feature Contribution to Uncertainty.” Florida Artificial Intelligence Research Society (FLAIRS-35), 2022.
Brown KE, Talbert DA. “A Simple Direct Uncertainty Quantification Technique Based on Machine Learning Regression.” Florida Artificial Intelligence Research Society (FLAIRS-35), 2022.
Hines B, Talbert DA, Anton S. “Improving Trust via XAI and Pre-Processing for Machine Learning of Complex Biomedical Datasets.” Florida Artificial Intelligence Research Society (FLAIRS-35), 2022.
Manicavasaga R, Lamichhane PB, Kandel P, Talbert DA. “Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques.” Florida Artificial Intelligence Research Society (FLAIRS-35), 2022.
Gothard AT, Talbert DA, Anton S, “Toward early damage detection of total knee arthroplasty implants via convolutional neural networks.” Health Monitoring of Structural and Biological Systems XVI. Vol. 12048. SPIE, 2022.

2021

Sun L, Talbert DA. “Effects of α,β and Patch Size on Performance of Layer-wise Relevance Propagation.” Proceedings of the 17^th International Conference on Data Science (ICDATA), 2021.
Brown KE, Talbert S, Talbert DA. “The Uncertainty of Counterfactuals.” Florida Artificial Intelligence Research Society (FLAIRS-34), 2021.
Hasan MM, Talbert DA. “Counterfactual Examples for Data Augmentation: A Case Study.” Florida Artificial Intelligence Research Society (FLAIRS-34), 2021.

2020

Kamal M, Talbert DA. “Toward Never-Ending Learning for Malware Analysis.” 2020 IEEE International Conference on Big Data (Big Data), 2020.
Martindale N, Muhammad I, Talbert DA. Ensemble-Based Online Machine Learning Algorithms and Ensembles for Network Intrusion Detection Systems Using Streaming Data. Information. 2020, 11(6).
Frey L, Talbert DA. Artificial Intelligence Pipeline to Bridge the Gap between Bench Researchers and Clinical Researchers in Precision Medicine. Med One. 2020;5:e200001. https://doi.org/10.20900/mo20200001.
Brown KE, Bhuiyan FA, Talbert DA. “Uncertainty Quantification in Multimodal Ensembles of Deep Learners.” Florida Artificial Intelligence Research Society (FLAIRS-33), 2020. (Best Student Paper Award)
Bhuiyan FA, Brown KE, Sharif MB, Johnson Q, Talbert DA. “Assessing Modality Selection Heuristics to Improve Multimodal Machine Learning for Malware Detection.” Florida Artificial Intelligence Research Society (FLAIRS-33), 2020.
Shafee A, Baza M, Talbert DA, Fouda MM, Nabil M, Mahmoud M. “Mimic Learning to Generate a Shareable Network Intrusion Detection Model.” Proceedings of the 17th Annual IEEE Consumer Communications & Networking Conference, 2020.
Ayub MA, Johnson W, Talbert DA, Siraj A. “Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning.” 54th Annual Conference on Information Sciences and Systems (CISS), 2020.

2019

Maynard DS, Bradford MA, Covey KR, Lindner D, Glaeser J, Talbert DA, Tinker PJ, Walker DM, Crowther TW. Consistent trade-offs in fungal trait expression across broad spatial scales. Nature microbiology. 2019 Feb 25:1.
Brown KE, Talbert DA. “Heuristically Reducing the Cost of Correlation-Based Feature Selection.” ACM Southeast Conference (ACMSE 2019), 2019. (Best Paper Runner-up Award)
Bhuiyan F, Sharif B, Tinker PJ, Eberle W, Talbert DA, Ghafoor S, Frey L. “Gene Selection and Clustering of Breast Cancer Data.” Florida Artificial Intelligence Research Society (FLAIRS-32), 2019.
Roberts JT, Talbert DA. “Biologically Extending the Gen 2 ANN Model.” Florida Artificial Intelligence Research Society (FLAIRS-32), 2019.

2018

Walker DM, Murray CM, Talbert DA, Tinker P, Graham SP, Crowther TW. A salamander’s top down effect on fungal communities in a detritivore ecosystem. FEMS Microbiology Ecology. 2018 Sep 20;94(12):fiy168.
Singh R, Graves JA, Talbert DA, Eberle W. “Prefix and Suffix Sequential Pattern Mining.” In: P. Perner (Ed.): MLDM 2018, LNAI 10934, pp. 296–311, 2018. (https://doi.org/10.1007/978-3-319-96136-1_24)
Gannod G, Eberle W, Cooke R, Talbert DA, Hagler K, Opp K, Baniya, J. “Establishing an Agile Mindset and Culture for Workforce Preparedness: A Baseline Study.” In 2018 Frontiers in Education Conference, 2018. Publ by IEEE.
Singh R, Graves J, Talbert DA, “Subgroup Discovery in Sequential Databases.” Florida Artificial Intelligence Research Society (FLAIRS-31), 2018.
Singh R, Graves JA, Waitman LR, Talbert DA. “Finding a Balance Between Interestingness and Diversity in Sequential Pattern Mining.” Proceedings of the 14th International Conference on Data Science (ICDATA), 2018.
Hossain MM, Talbert DA, Ghafoor SK, Kannan R. “FAWCA: A Flexible-greedy Approach to find well-tuned CNN Architecture for Image Recognition Problem.” Proceedings of the 14th International Conference on Data Science (ICDATA), 2018.

2017

Talbert DA, Tinker P, Crowther T, Walker D. “Using Machine Learning to Understand Top-Down Effects in an Ecosystem: Opportunities, Challenges, and Lessons Learned.” Proceedings of the Florida Artificial Intelligence Research Society (FLAIRS), 2017.
Paudel R, Eberle W, Talbert DA. “Detection of Anomalous Activity in Diabetic Patients using Graph-Based Approach.” Proceedings of the Florida Artificial Intelligence Research Society (FLAIRS), 2017.
Thakkar N, Mookiah L, Talbert DA, Eberle W. “Anomalies in Students Enrollment using Visualization.” Proceedings of the Florida Artificial Intelligence Research Society (FLAIRS), 2017.

2016

Cruz D, Talbert DA, Eberle W, Biernacki J. “A Neural Network Approach for Predicting Microstructure Development in Cement.” 18^th International Conference on Artificial Intelligence (ICAI’16), July 2016.

2015

Neely R, Cleghern Z, Talbert DA. “Using Subgroup Discovery Metrics to Mine Interesting Subgraphs.” Proceedings of the Florida Artificial Intelligence Research Society (FLAIRS), 2015.

2013

Eberle W, Talbert DA, Simpson E, Roberts L, and Pope A, “Using Machine Learning and Predictive Modeling to Assess Admission Policies and Standards.” 9th Annual National Symposium on Student Retention, November 2013.

2011

Talbert DA, Honeycutt MB, Talbert SR. “A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage.” International Conference on Machine Learning and Data Mining, 2011.
Sherrill B, Eberle W, Talbert DA. “Analysis of Student Data for Retention Using Data Mining Techniques.” National Symposium on Student Retention, 2011.

2010

Honeycutt MB, Kolpack J, Honeycutt N, Talbert DA. “On the utility of HCI practices in improving a commercial information retrieval system.” Conference on Information Systems Applied Research, 2010. (Distinguished Paper Award)

2007

Talbert SR, Talbert DA. “A Comparison of a Decision Tree Induction Algorithm with the ACS Guidelines for Trauma Triage.” Proceedings of the American Medical Informatics Association 2007 Annual Symposium, p. 1127, 2007.
Ey JL, Walker A, Talbert DA. “The dGrail Toolkit for Iterative Deterministic Record Linkage.” Proceedings of the American Medical Informatics Association 2007 Annual Symposium, p. 951, 2007.

2006

Rosenbloom ST, Chiu KW, Byrne DW, Talbert DA, Neilson EG, Miller RA. “Interventions to regulate ordering of serum magnesium levels: an unintended consequence of decision support.” Journal of the American Medical Informatics Association, 2005, 12: 546-553.
Rosenbloom ST, Geissbühler AJ, Dupont WD, Giuse DA, Talbert DA, Tierney WM, Plummer WD, Stead WW, Miller RA. “Effect of CPOE user interface design on utilization of education decision support during patient care.” Journal of the American Medical Informatics Association, 2005, 12: 458-473.
Basu C, Merrell MA, Fellbaum C, Talbert DA, Kolpack J, Honeycutt M, Alonso R, Bloom J. “Automated Knowledge Discovery System (AKDS): A Business Case Study in Ontology Development and Use.” Proceedings of the 1st Workshop on Formal Ontologies Meet Industry, 2005.

2004

Hulgan T, Rosenbloom ST, Hargrove F, Talbert DA, Arbogast PG, Bansal P, Miller RA, Kernodle DS. “Oral quinolone dosing in hospitalized patients: an evaluation of a computerized decision support intervention.” Journal of Internal Medicine, 2004, 256: 349-357.
Neilson E, Johnson K, Rosenbloom T, Dupont W, Talbert DA, Kaiser A, Miller R. “The impact of peer management on testing behavior.” Annals of Internal Medicine, 2004, 141: 196-204.
Rosenbloom ST, Aronsky D, Talbert DA, Miller RA. “Clinicians’ perceptions of clinical decision support integrated into computerized provider order-entry.” International Journal of Medical Informatics, 2004, 73: 433-441.

2001

Bansal P, Aronsky D, Talbert DA, Miller RA. “The effect of a computer-based intervention on the appropriate use of arterial blood gas.” Proceedings of the American Medical Informatics Association 2001 Annual Symposium, pp. 32-36, 2001.

2000

Starmer J, Talbert DA, Miller RA. “Experience using a programmable rules engine to implement a complex medical protocol during order entry.” Proceedings of the American Medical Informatics Association 2000 Annual Symposium, pp. 829-832, 2000.
Talbert DA, Fisher D. “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, pp. 26-33, 2000.

1999

Talbert DA, Fisher D. “Exploiting sample-data distributions to reduce the cost of nearest-neighbor searches with kd-trees.” Proceedings of the Third Symposium on Intelligent Data Analysis, pp. 407-414, 1999.
Talbert DA, Fisher D. “OPT-KD: an algorithm for optimizing kd-trees.” Proceeding of the Sixteenth International Conference on Machine Learning, pp. 398-405, 1999.

1998

Frey L, Li C, Talbert DA, Fisher D. “A review of the fourteenth international conference on machine learning.” Intelligent Data Analysis, 1998, 2: 245-255.

1997

Fisher D, Talbert DA, “Inference using probabilistic concept trees.” Proceeding of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 191-202, 1997.