| 2024 | FIE | Innovative Practice: Agile Training for Year-Long Capstone Project. | William Eberle, Gerald C. Gannod, Eric Brown |
| 2024 | FlAIRS | Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection. | Farhat Lamia Barsha, William Eberle |
| 2024 | FlAIRS | Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams. | Ocheme Anthony Ekle, William Eberle |
| 2022 | FlAIRS | Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis. | Prabin B. Lamichhane, Hannah Mannering, William Eberle |
| 2022 | ICDM | Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs. | Prabin B. Lamichhane, William Eberle |
| 2022 | SIGCSE | Incorporating the Concepts of Fairness and Bias into an Undergraduate Computer Science Course to Promote Fair Automated Decision Systems. | Sheikh Rabiul Islam, Ingrid Russell, William Eberle, Darina Dicheva |
| 2021 | FlAIRS | Visualization of Anomalies using Graph-Based Anomaly Detection. | Ramesh Paudel, Lauren Tharp, Dulce Kaiser, William Eberle, Gerald C. Gannod |
| 2020 | FlAIRS | Towards Quantification of Explainability in Explainable Artificial Intelligence Methods. | Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor |
| 2020 | FlAIRS | Node Similarity For Anomaly Detection in Attributed Graphs. | Prajjwal Kandel, William Eberle |
| 2019 | FlAIRS | Gene Selection and Clustering of Breast Cancer Data. | Farzana Ahamed Bhuiyan, Md Bulbul Sharif, Paul Joshua Tinker, William Eberle, Douglas A. Talbert, Sheikh Khaled Ghafoor, Lewis J. Frey |
| 2019 | FlAIRS | Detecting the Onset of a Network Layer DoS Attack with a Graph-Based Approach. | Ramesh Paudel, Peter Harlan, William Eberle |
| 2019 | FlAIRS | Discovering Suspicious Patterns Using a Graph Based Approach. | Sirisha Velampalli, Lenin Mookiah, William Eberle |
| 2018 | FlAIRS | Special Track on Data Mining. | David Bisant, William Eberle |
| 2018 | FlAIRS | Cognitive Health Prediction on the Elderly Using Sensor Data in Smart Homes. | Ramesh Paudel, Kimberlyn Dunn, William Eberle, Danielle Chaung |
| 2017 | FlAIRS | Graph-Based Anomaly Detection on Smart Grid Data. | Lenin Mookiah, Chris Dean, William Eberle |
| 2017 | FlAIRS | Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. | Ramesh Paudel, William Eberle, Douglas A. Talbert |
| 2017 | FlAIRS | Anomalies in Students Enrollment Using Visualization. | Nishith Mukeshkumar Thakkar, Lenin Mookiah, Douglas A. Talbert, William Eberle |
| 2017 | FlAIRS | Novel Graph Based Anomaly Detection Using Background Knowledge. | Sirisha Velampalli, William Eberle |
| 2016 | AMIA | Never-Ending Medical Learning. | Douglas A. Talbert, William Eberle, Mei Liu |
| 2015 | FlAIRS | Detecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach. | Cameron Chaparro, William Eberle |
| 2015 | FlAIRS | Discovering Suspicious Behavior Using Graph-Based Approach. | Lenin Mookiah, William Eberle, Larry Holder |
| 2015 | FlAIRS | Survey of Crime Analysis and Prediction. | Lenin Mookiah, William Eberle, Ambareen Siraj |
| 2014 | FlAIRS | Special Track on Data Mining. | David Bisant, William Eberle |
| 2013 | FIE | Integrating communication skills in data structures and algorithms courses. | William Eberle, John Karro, Neal Lerner, Matthias F. Stallmann |
| 2013 | FIE | Computer science widening the STEM education spectrum. | Christopher J. Morack, William Eberle |
| 2013 | FlAIRS | Special Track on Data Mining. | David Bisant, William Eberle |
| 2013 | FlAIRS | Discovering Fraud in Online Classified Ads. | Alan Matthew McCormick, William Eberle |
| 2013 | ICDM | Incremental Anomaly Detection in Graphs. | William Eberle, Lawrence B. Holder |
| 2012 | FlAIRS | Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening. | William Eberle, Lawrence B. Holder, Beverly Massengill |
| 2011 | FlAIRS | Special Track on Data Mining. | David Bisant, William Eberle |
| 2011 | FlAIRS | Graph-Based Knowledge Discovery: Compression versus Frequency. | William Eberle, Lawrence B. Holder |
| 2010 | FlAIRS | Using a Graph-Based Approach for Discovering Cybercrime. | William Eberle, Lawrence B. Holder, Jeffrey Graves |
| 2009 | CIDM | Mining for insider threats in business transactions and processes. | William Eberle, Lawrence B. Holder |
| 2009 | FlAIRS | Special Track on Data Mining. | William Eberle, David Bisant |
| 2009 | FlAIRS | Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data. | William Eberle, Lawrence B. Holder |
| 2009 | ISI | Applying graph-based anomaly detection approaches to the discovery of insider threats. | William Eberle, Lawrence B. Holder |
| 2007 | ICDM | Discovering Structural Anomalies in Graph-Based Data. | William Eberle, Lawrence B. Holder |
| 2006 | ISI | Detecting Anomalies in Cargo Using Graph Properties. | William Eberle, Lawrence B. Holder |