William Eberle

81 papers A* 1C 6Misc 30Journal 25Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Adaptive-GraphSketch: Real-Time Edge Anomaly Detection via Multi-Layer Tensor Sketching and Temporal Decay. ICKG Ocheme Anthony Ekle, William Eberle
2025	J	`jnl`	Adaptive-GraphSketch: Real-Time Edge Anomaly Detection via Multi-Layer Tensor Sketching and Temporal Decay. CoRR Ocheme Anthony Ekle, William Eberle
2025	J	`jnl`	An in-depth review and analysis of mode collapse in generative adversarial networks. Mach. Learn. Farhat Lamia Barsha, William Eberle
2024	J	`jnl`	Advances in Explainable, Fair, and Trustworthy AI. Int. J. Artif. Intell. Tools Sheikh Rabiul Islam, Ingrid Russell, William Eberle, Douglas A. Talbert, Md Golam Moula Mehedi Hasan
2024	J	`jnl`	Anomaly Detection in Dynamic Graphs: A Comprehensive Survey. CoRR Ocheme Anthony Ekle, William Eberle
2024	J	`jnl`	Anomaly Detection in Dynamic Graphs: A Comprehensive Survey. ACM Trans. Knowl. Discov. Data Ocheme Anthony Ekle, William Eberle
2024	J	`jnl`	Anomaly Detection in Graph Structured Data: A Survey. CoRR Prabin B. Lamichhane, William Eberle
2024	Misc	`conf`	Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams. FLAIRS Ocheme Anthony Ekle, William Eberle
2024	C	`conf`	Innovative Practice: Agile Training for Year-Long Capstone Project. FIE William Eberle, Gerald C. Gannod, Eric Brown
2024	Misc	`conf`	Mode Collapse Detection Strategies in Generative Adversarial Networks for Credit Card Fraud Detection. FLAIRS Farhat Lamia Barsha, William Eberle
2024	J	`jnl`	Preface. Int. J. Artif. Intell. Tools Ingrid Russell, Sheikh Rabiul Islam, William Eberle, Douglas A. Talbert, Md Golam Moula Mehedi Hasan
2022	Misc	`conf`	Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis. FLAIRS Prabin B. Lamichhane, Hannah Mannering, William Eberle
2022	—	`conf`	Incorporating the Concepts of Fairness and Bias into an Undergraduate Computer Science Course to Promote Fair Automated Decision Systems. SIGCSE (2) Sheikh Rabiul Islam, Ingrid Russell, William Eberle, Darina Dicheva
2022	J	`jnl`	Instilling conscience about bias and fairness in automated decisions. J. Comput. Sci. Coll. Sheikh Rabiul Islam, Ingrid Russell, William Eberle, Darina Dicheva
2022	—	`conf`	Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs. ICDM (Workshops) Prabin B. Lamichhane, William Eberle
2021	—	`conf`	Anomaly Detection in Edge Streams Using Term Frequency-Inverse Graph Frequency (TF-IGF) Concept. IEEE BigData Prabin B. Lamichhane, William Eberle
2021	J	`jnl`	Explainable Artificial Intelligence Approaches: A Survey. CoRR Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor, Mohiuddin Ahmed
2021	—	`conf`	Implications of Combining Domain Knowledge in Explainable Artificial Intelligence. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Sheikh Rabiul Islam, William Eberle
2021	Misc	`conf`	Visualization of Anomalies using Graph-Based Anomaly Detection. FLAIRS Ramesh Paudel, Lauren Tharp, Dulce Kaiser, William Eberle, Gerald C. Gannod
2020	J	`jnl`	An Approach For Concept Drift Detection in a Graph Stream Using Discriminative Subgraphs. ACM Trans. Knowl. Discov. Data Ramesh Paudel, William Eberle
2020	—	`conf`	Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers
2020	—	`conf`	Graph Filtering to Remove the "Middle Ground" for Anomaly Detection. IEEE BigData William Eberle, Lawrence Holder
2020	Misc	`conf`	Node Similarity For Anomaly Detection in Attributed Graphs. FLAIRS Prajjwal Kandel, William Eberle
2020	Misc	`conf`	Towards Quantification of Explainability in Explainable Artificial Intelligence Methods. FLAIRS Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor
2019	—	`conf`	Detecting DoS Attack in Smart Home IoT Devices Using a Graph-Based Approach. IEEE BigData Ramesh Paudel, Timothy Muncy, William Eberle
2019	Misc	`conf`	Detecting the Onset of a Network Layer DoS Attack with a Graph-Based Approach. FLAIRS Ramesh Paudel, Peter Harlan, William Eberle
2019	Misc	`conf`	Discovering Suspicious Patterns Using a Graph Based Approach. FLAIRS Sirisha Velampalli, Lenin Mookiah, William Eberle
2019	J	`jnl`	Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response. CoRR Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers
2019	Misc	`conf`	Gene Selection and Clustering of Breast Cancer Data. FLAIRS Farzana Ahamed Bhuiyan, Md Bulbul Sharif, Paul Joshua Tinker, William Eberle, Douglas A. Talbert, Sheikh Khaled Ghafoor, Lewis J. Frey
2019	J	`jnl`	Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction. CoRR Sheikh Rabiul Islam, William Eberle, Sid C. Bundy, Sheikh Khaled Ghafoor
2019	J	`jnl`	Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy. CoRR Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Sid C. Bundy, Douglas A. Talbert, Ambareen Siraj
2019	J	`jnl`	Towards Quantification of Explainability in Explainable Artificial Intelligence Methods. CoRR Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor
2018	J	`jnl`	A novel classifier ensemble approach for financial distress prediction. Knowl. Inf. Syst. Deron Liang, Chih-Fong Tsai, An-Jie Dai, William Eberle
2018	Misc	`conf`	Cognitive Health Prediction on the Elderly Using Sensor Data in Smart Homes. FLAIRS Ramesh Paudel, Kimberlyn Dunn, William Eberle, Danielle Chaung
2018	J	`jnl`	Credit Default Mining Using Combined Machine Learning and Heuristic Approach. CoRR Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor
2018	J	`jnl`	Mining Bad Credit Card Accounts from OLAP and OLTP. CoRR Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor
2018	—	`conf`	Mining Illegal Insider Trading of Stocks: A Proactive Approach. IEEE BigData Sheikh Rabiul Islam, Sheikh Khaled Ghafoor, William Eberle
2018	J	`jnl`	Personalized news recommendation using graph-based approach. Intell. Data Anal. Lenin Mookiah, William Eberle, Maitrayi Mondal
2018	A*	`conf`	Prefix and Suffix Sequential Pattern Mining. ICDM Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle
2018	—	`conf`	Prefix and Suffix Sequential Pattern Mining. MLDM (1) Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle
2018	Misc	`conf`	Special Track on Data Mining. FLAIRS David Bisant, William Eberle
2017	Misc	`conf`	Anomalies in Students Enrollment Using Visualization. FLAIRS Nishith Mukeshkumar Thakkar, Lenin Mookiah, Douglas A. Talbert, William Eberle
2017	—	`conf`	Detecting Vehicular Patterns Using a Graph-Based Approach. VAST Sirisha Velampalli, Lenin Mookiah, William Eberle
2017	Misc	`conf`	Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach. FLAIRS Ramesh Paudel, William Eberle, Douglas A. Talbert
2017	Misc	`conf`	Graph-Based Anomaly Detection on Smart Grid Data. FLAIRS Lenin Mookiah, Chris Dean, William Eberle
2017	—	`conf`	Mining Bad Credit Card Accounts from OLAP and OLTP. ICCDA Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor
2017	Misc	`conf`	Novel Graph Based Anomaly Detection Using Background Knowledge. FLAIRS Sirisha Velampalli, William Eberle
2016	J	`jnl`	Data preprocessing issues for incomplete medical datasets. Expert Syst. J. Knowl. Eng. Min-Wei Huang, Wei-Chao Lin, Chih-Wen Chen, Shih-Wen Ke, Chih-Fong Tsai, William Eberle
2016	Misc	`conf`	Never-Ending Medical Learning. AMIA Douglas A. Talbert, William Eberle, Mei Liu
2016	J	`jnl`	Report on the 29th International Florida Artificial Intelligence Research Society Conference (FLAIRS-29). AI Mag. Zdravko Markov, Ingrid Russell, William Eberle
2015	Misc	`conf`	Detecting Anomalies in Mobile Telecommunication Networks Using a Graph Based Approach. FLAIRS Cameron Chaparro, William Eberle
2015	Misc	`conf`	Discovering Suspicious Behavior Using Graph-Based Approach. FLAIRS Lenin Mookiah, William Eberle, Larry Holder
2015	J	`jnl`	Instance selection by genetic-based biological algorithm. Soft Comput. Zong-Yao Chen, Chih-Fong Tsai, William Eberle, Wei-Chao Lin, Shih-Wen Ke
2015	J	`jnl`	Learning to detect representative data for large scale instance selection. J. Syst. Softw. Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke, Chia-Wen Hung, William Eberle
2015	Misc	`ed.`	Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015, Hollywood, Florida, USA, May 18-20, 2015. FLAIRS Ingrid Russell, William Eberle
2015	J	`jnl`	Scalable anomaly detection in graphs. Intell. Data Anal. William Eberle, Lawrence B. Holder
2015	Misc	`conf`	Survey of Crime Analysis and Prediction. FLAIRS Lenin Mookiah, William Eberle, Ambareen Siraj
2014	—	`conf`	A partitioning approach to scaling anomaly detection in graph streams. IEEE BigData William Eberle, Lawrence B. Holder
2014	—	`conf`	Detecting suspicious behavior using a graph-based approach. IEEE VAST Lenin Mookiah, William Eberle, Lawrence B. Holder
2014	Misc	`ed.`	Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014, Pensacola Beach, Florida, USA, May 21-23, 2014. FLAIRS William Eberle, Chutima Boonthum-Denecke
2014	—	`conf`	Smart grid energy fraud detection using artificial neural networks. CIASG Vitaly Ford, Ambareen Siraj, William Eberle
2014	Misc	`conf`	Special Track on Data Mining. FLAIRS David Bisant, William Eberle
2013	C	`conf`	Computer science widening the STEM education spectrum. FIE Christopher J. Morack, William Eberle
2013	Misc	`conf`	Discovering Fraud in Online Classified Ads. FLAIRS Alan Matthew McCormick, William Eberle
2013	J	`jnl`	Genetic algorithms in feature and instance selection. Knowl. Based Syst. Chih-Fong Tsai, William Eberle, Chi-Yuan Chu
2013	—	`conf`	Incremental Anomaly Detection in Graphs. ICDM Workshops William Eberle, Lawrence B. Holder
2013	C	`conf`	Integrating communication skills in data structures and algorithms courses. FIE William Eberle, John Karro, Neal Lerner, Matthias F. Stallmann
2013	Misc	`conf`	Special Track on Data Mining. FLAIRS David Bisant, William Eberle
2012	Misc	`conf`	Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening. FLAIRS William Eberle, Lawrence B. Holder, Beverly Massengill
2011	Misc	`conf`	Graph-Based Knowledge Discovery: Compression versus Frequency. FLAIRS William Eberle, Lawrence B. Holder
2011	Misc	`conf`	Special Track on Data Mining. FLAIRS David Bisant, William Eberle
2010	Misc	`conf`	Using a Graph-Based Approach for Discovering Cybercrime. FLAIRS William Eberle, Lawrence B. Holder, Jeffrey Graves
2009	C	`conf`	Applying graph-based anomaly detection approaches to the discovery of insider threats. ISI William Eberle, Lawrence B. Holder
2009	Misc	`conf`	Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data. FLAIRS William Eberle, Lawrence B. Holder
2009	—	`conf`	Graph-based approaches to insider threat detection. CSIIRW William Eberle, Lawrence B. Holder
2009	C	`conf`	Mining for insider threats in business transactions and processes. CIDM William Eberle, Lawrence B. Holder
2009	Misc	`conf`	Special Track on Data Mining. FLAIRS William Eberle, David Bisant
2007	J	`jnl`	Anomaly detection in data represented as graphs. Intell. Data Anal. William Eberle, Lawrence B. Holder
2007	—	`conf`	Discovering Structural Anomalies in Graph-Based Data. ICDM Workshops William Eberle, Lawrence B. Holder
2007	—	`conf`	Mining for Structural Anomalies in Graph-based Data. DMIN William Eberle, Lawrence B. Holder
2006	C	`conf`	Detecting Anomalies in Cargo Using Graph Properties. ISI William Eberle, Lawrence B. Holder