Journal articles
Robert Gove, Lucas Cadalzo, Nicholas Leiby, Jedediah M. Singer, Alexander Zaitzeff. “New Guidance for Using t-SNE: Alternative Defaults, Hyperparameter Selection Automation, and Comparative Evaluation.” Journal of Visual Informatics (proc. Visualization Meets AI 2022). [pdf]
Robert Gove. “Automatic Narrative Summarization for Visualizing Cyber Security Logs and Incident Reports.” IEEE Transactions on Visualization and Computer Graphics 2022 (proc. VizSec 2021, best paper award). [pdf] [osf] [blog]
Robert Gove. “A Random Sampling O(n) Force-calculation Algorithm for Graph Layouts.” Computer Graphics Forum 2019 (proc. EuroVis). [pdf] [osf] [blog]
Cody Dunne, Ben Shneiderman, Robert Gove, Judith Klavans, Bonnie Dorr. “Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization.” Journal of the American Society for Information Science and Technology 2012. [pdf]
Robert P Gove, William Chen, Nicholas B Zweber, Rebecca Erwin, Jan Rychtář, David L Remington. “Effects of causal networks on the structure and stability of resource allocation trait correlations.” Journal of theoretical biology 2012.
Robert Gove, Miranda Hayworth, Maya Chhetri, Olav Rueppell. “Division of labour and social insect colony performance in relation to task and mating number under two alternative response threshold models.” Insectes sociaux 2009.
Miranda K Hayworth, Nels G Johnson, Matthew E Wilhelm, Robert P Gove, Jackie D Metheny, Olav Rueppell. “Added Weights Lead to Reduced Flight Behavior and Mating Success in Polyandrous Honey Bee Queens (Apis mellifera).” Ethology 2009.
Conference papers
Nathan Danneman and Robert Gove. “Tuning Automatic Summarization for Incident Report Visualization.” PacificVis 2022, pp. 191-195. [pdf]
Casey Haber and Robert Gove. “A Visualization Tool for Analyzing the Suitability of Software Libraries via Their Code Repositories.” Visualization and Data Analysis 2020, best paper award. [pdf] [blog]
Robert Gove. “Force-Directed Graph Layouts by Edge Sampling.” Large Data Analytics and Visualization 2019. [pdf] [osf]
Robert Gove. “Gragnostics: Fast, Interpretable Features for Comparing Graphs.” Information Visualization 2019, best paper award. [pdf]
Robert Gove and Lauren Deason. “Visualizing Automatically Detected Periodic Network Activity.” Visualization for Cyber Security 2018. [pdf] [blog]
Robert Gove. “It Pays to Be Lazy: Reusing Force Approximations to Compute Better Graph Layouts.” Forum Media Technology 2018, best paper award. [pdf] [osf] [blog]
Robert Gove. “V3SPA: A Visual Analysis, Exploration, and Diffing Tool for SELinux and SEAndroid Security Policies.” Visualization for Cyber Security 2016. [pdf] [blog]
Alexander Long, Josh Saxe and Robert Gove. “Detecting Malware Samples with Similar Image Sets.” Visualization for Cyber Security 2014. [pdf]
Robert Gove, Joshua Saxe, Sigfried Gold, Alex Long and Giacomo Bergamo. “SEEM: A Scalable Visualization for Comparing Multiple Large Sets of Attributes for Malware Analysis.” Visualization for Cyber Security 2014. [pdf]
Robert Gove, Nick Gramsky, Rose Kirby, Emre Sefer, Awalin Sopan, Cody Dunne, Ben Shneiderman, Meirav Taieb-Maimon. “NetVisia: Heat map & matrix visualization of dynamic social network statistics & content.” International Conference on Social Computing 2011. [pdf]
Robert Gove, Cody Dunne, Ben Shneiderman, Judith Klavans, Bonnie Dorr. “Evaluating visual and statistical exploration of scientific literature networks.” Symposium on Visual Languages and Human-Centric Computing 2011.
Book chapters
Robert Gove. “Gragnostics: Evaluating Fast, Interpretable Structural Graph Features for Classification and Visual Analytics” In: Kovalerchuk, B., Nazemi, K., Andonie, R., Datia, N., Banissi, E. (eds) Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery. Studies in Computational Intelligence, vol 1014, pp. 311-336.
Robert Gove and Jorge Faytong. “Machine learning and event-based software testing: classifiers for identifying infeasible GUI event sequences.” Advances in Computers 86.
Workshop papers
Robert Gove, Jorge Faytong. “Identifying infeasible GUI test cases using support vector machines and induced grammars.” International Workshop on TESTing Techniques and Experimentation Benchmarks for Event-Driven Software 2011.
Presentations
Robert Gove and Nathan Danneman. “Automatic Summarization and Visualization of Incident Reports.” Conference on Applied Machine Learning for Information Security 2020.
Emily Gray, Chae Clark, and Robert Gove. “Automatic Cyber Attack Campaign Detection Using Network Traffic Data.” Conference on Applied Machine Learning for Information Security 2020.
Robert Gove and Lauren Deason. “Visualizing Automatically Detected Periodic Activity.” Malware Technical Exchange Meeting 2019.
Posters and demos
Violet Lingenfelter, Robert Gove, Chase Clark, Anthony Wong. “Arcus Internet Disruption Dashboard and Report.” Visualization for Cyber Security 2020, best poster award.
Robert Gove. “A Survey of Technical Approaches for Developing, Deploying, and Adopting Visualizations in the Cybersecurity Domain.” Visualization for Cyber Security 2017.
Robert Gove. “V3SPA: A Tool for Visually Analyzing and Diffing SELinux Security Policies.” Black Hat Arsenal 2016.
Robert Gove, Christopher Wacek, Matthew Oertle and Jeffrey Karrels. “V3SPA: An IDE and Visualization Environment for SELinux Security Policy Abstractions.” Visualization for Cyber Security 2015.
Robert Gove, Giacomo Bergamo, Joshua Saxe, Alex Long, Sigried Gold. “Cynomix: Multi-Resolution Visualization of Malware at Scale for Insight and Triage.” Malware Technical Exchange Meeting 2014.
Invited Talks
- “Narrative Visualization and Summarization for Cyber Security Logs and Incident Reports” - Guest lecture for graduate-level Data Visualization class @ Northeastern University April 21, 2022
- Panelist on Careers in Mathematical Sciences for REUs @ VCU July 16, 2021
- “Big graph visualization on a small-scale budget” - Lunch-and-learn talk @ Uncharted Software May 18, 2021
- “By Our Powers Combined, We Are Data Science! The Mutual Support of Visualization and Analysis Automation” - Guest lecture for graduate-level Data Visualization class @ USF Nov 16, 2020
- “Not all learning takes place in the classroom: What I’ve learned as a visualization practitioner” - Guest lecture for graduate-level Visual Analytics class @ UNC Nov 17, 2016