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Dr. Jesse Ables
Explainable Artificial Intelligence
Intrusion Detection Systems
Anomaly Detection Techniques
About
Dr. Jesse Ables is an Assistant Professor in the Department of Computer Sciences at the University of South Alabama. His research interests include Explainable Artificial Intelligence, Intrusion Detection, and Anomaly Detection.
Research Performance Summary
2021-2024
Active Research Span
First Recorded Paper
A Performance-Oriented Comparison of Neural Network Approaches for Anomaly-based Intrusion Detection
Year:
2021
Citations:
2
Venue:
2021 IEEE Symposium Series on Computational Intelligence (SSCI)
Latest Recorded Paper
Leveraging Artificial Immune Systems for Semi-supervised Intrusion Detection
Year:
2024
Citations:
0
Venue:
International Conference on Computational Science and Computational
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Ables
Anderson
Banicescu
Research Impact by Period
Papers
10
Citations
313
Avg. Citations / Paper
31.3
H-Index
5
Contact and Professional Links
Detected Research Keywords
Intrusion Detection Systems
Explainable Intrusion Detection
Detection Systems Ids
Systems Ids Survey
Ids Survey Current
Survey Current Methods
Current Methods Challenges
Methods Challenges Opportunities
Intrusion Detection System
Detection Systems Competitive