D. Talbert,P. Tinker, T. Crowther, D. Walker, "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), May 2017.
L. Mookiah, C. Dean, and W. Eberle, “Graph-Based Anomaly Detection on Smart Grid Data,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
R. Paudel, W. Eberle, and D. Talbert “Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
N. Thakkar, L. Mookiah, D. Talbert, and W. Eberle, “Anomalies in Student Enrollment Using Visualization,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
L. Mookiah and W. Eberle, “Co-Ranking Authors in Heterogeneous News Networks,” 2016 International Conference on Computational Science and Computational Intelligence, December 2016
W. Eberle and L. Holder, “Identifying Anomalies in Graph Streams Using Change Detection,” Conference on Knowledge Discovery and Data Mining (KDD) Mining and Learning with Graphs (MLG), August 2016.
L. Mookiah1, W. Eberle, and Maitrayi Mondal, “Detecting Change in News Feeds Using a Context-Based Graph,” International Conference on Data Mining (DMIN), 2016.
D. Cruz1, D. Talbert, W. Eberle, and J. Biernacki, "A neural network approach for predicting microstructure development in cement," Int'l Conf. Artificial Intelligence, ICAI'16, pp. 328-334, 2016.
R. Singh, J. Graves, and S. Sukumar, "Enabling Graph Appliance For Genome Assembly," IEEE International Conference on Big Data, October 2015.
R. Neely, Z. Cleghern, and D. Talbert, "Using Subgroup Discovery Metrics to Mine Interesting Subgraphs," International Conference of the Florida AI Research Society (FLAIRS), May 2015.
L. Mookiah, W. Eberle, and L. Holder, "Discovering Suspicious Behavior Using Graph-Based Approach," International Conference of the Florida AI Research Society (FLAIRS), May 2015.
C. Chaparro and W. Eberle, "Detecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach," International Conference of the Florida AI Research Society (FLAIRS), May 2015.
L. Mookiah, W. Eberle, and A. Siraj, "Survey of Crime Analysis and Prediction," International Conference of the Florida AI Research Society (FLAIRS), May 2015.
W. Eberle and L. Holder, "Streaming Data Analytics for Anomalies in Graphs," IEEE International Symposium on Technologies for Homeland Security, April 2015.
W. Eberle and L. Holder, "Scalable Anomaly Detection in Graphs," Intelligent Data Analysis, an International Journal, Volume 19(1), 2015.
V. Ford, A. Siraj, and W. Eberle, "Smart Energy Fraud Detection Using Artificial Neural Networks," IEEE Symposium Series on Computational Intelligence (SSCI), December 2014.
L. Mookiah, W. Eberle, and L. Holder, "Detecting Suspicious Behavior Using a Graph-Based Approach," IEEE Symposium on Visual Analytics Science and Technology (VAST), November 2014.
W. Eberle and L. Holder, "A Partitioning Approach to Scaling Anomaly Detection in Graph Streams," IEEE International Conference on Big Data, October 2014.
W. Eberle and L. Holder, "Incremental Anomaly Detection in Graphs," Proceedings of the IEEE ICDM Workshop on Incremental Clustering, Concept Drift and Novelty Detection (IcIaNov), December 2013.