Matthew Revelle

According to our database, Matthew Revelle authored at least 12 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Using Large Language Models to Mitigate Human-Induced Bias in SMS Spam: An Empirical Approach.

Gerard Shu Fuhnwi, Matthew Revelle, Bradley M. Whitaker, Clemente Izurieta

Proceedings of the 4th IEEE International Conference on AI in Cybersecurity, 2025

2024

Improving Network Intrusion Detection Performance : An Empirical Evaluation Using Extreme Gradient Boosting (XGBoost) with Recursive Feature Elimination.

Gerard Shu Fuhnwi, Matthew Revelle, Clemente Izurieta

Proceedings of the 3rd IEEE International Conference on AI in Cybersecurity, 2024

Hypermedia Controls: Feral to Formal.

Carson Gross, Dillon Shaffer, Matt Revelle

Proceedings of the 35th ACM Conference on Hypertext and Social Media, 2024

A Hybrid Anomaly Detection Approach for Obfuscated Malware.

Gerard Shu Fuhnwi, Matthew Revelle, Clemente Izurieta

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

Poster: Formalizing Cognitive Biases for Cybersecurity Defenses.

Jasmine Vang, Matthew Revelle

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2021

Group-node attention for community evolution prediction.

Matt Revelle, Carlotta Domeniconi, Ben U. Gelman

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Temporal Artifacts from Edge Accumulation in Social Interaction Networks.

Matt Revelle, Carlotta Domeniconi, Aditya Johri

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

2016

Persistent Roles in Online Social Networks.

Matt Revelle, Carlotta Domeniconi, Aditya Johri

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs.

Ben U. Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni, Aditya Johri

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Finding Community Topics and Membership in Graphs.

Matt Revelle, Carlotta Domeniconi, Mack Sweeney, Aditya Johri

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Evidence of Temporal Artifacts in Social Networks.

Matt Revelle, Carlotta Domeniconi, Aditya Johri

Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) co-located with the 26th European Conference on Machine Learning / 19th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

Uncovering Trajectories of Informal Learning in Large Online Communities of Creators.

Seungwon Yang, Carlotta Domeniconi, Matt Revelle, Mack Sweeney, Ben U. Gelman, Chris Beckley, Aditya Johri

Proceedings of the Second ACM Conference on Learning @ Scale, 2015