| Detecting dos attack in smart home iot devices using a graph-based approach R Paudel, T Muncy, W Eberle 2019 IEEE international conference on big data (big data), 5249-5258, 2019 | 41 | 2019 |
| Anomaly Detection of Elderly Patient Activities in Smart Homes using a Graph-Based Approach R Paudel, W Eberle, LB Holder Proceedings of the 2018 International Conference on Data Science, ICDATA'18 …, 2018 | 24 | 2018 |
| An approach for concept drift detection in a graph stream using discriminative subgraphs R Paudel, W Eberle ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (6), 1-25, 2020 | 15 | 2020 |
| Detecting the Onset of a Network Layer DoS Attack with a Graph-Based Approach R Paudel, P Harlan, W Eberle Proceedings of The Thirty-Second International FLAIRS Conference (FLAIRS-32 …, 2019 | 11 | 2019 |
| Cognitive Health Prediction on the Elderly Using Sensor Data in Smart Homes R Paudel, K Dunn, W Eberle, D Chaung Proceedings of the Thirty-First International Florida Artificial …, 2018 | 11 | 2018 |
| SNAPSKETCH: Graph Representation Approach for Intrusion Detection in a Streaming Graph R Paudel, W Eberle 16th International Workshop on Mining and Learning with Graphs, 2020 | 9 | 2020 |
| Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach R Paudel, W Eberle, D Talbert Proceedings of the Thirtieth International Florida Artificial Intelligence …, 2017 | 8 | 2017 |
| Detecting spam tweets in trending topics using graph-based approach R Paudel, P Kandel, W Eberle Proceedings of the Future Technologies Conference (FTC) 2019: Volume 1, 526-546, 2020 | 6 | 2020 |
| Pikachu: Temporal walk based dynamic graph embedding for network anomaly detection R Paudel, HH Huang NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-7, 2022 | 5 | 2022 |
| Anomaly Detection in Opioid Prescription Using Graph Based Approach R Paudel | 1 | |
| Visualization of Anomalies using Graph-Based Anomaly Detection R Paudel, L Tharp, D Kaiser, W Eberle, G Gannod The International FLAIRS Conference Proceedings 34, 2021 | | 2021 |
| Efficient Graph Knowledge Discovery on Graph Streams with Concept Drift R Paudel Tennessee Technological University, 2020 | | 2020 |
| Analysis of Pattern Learning and Anomaly Detection on Streams R Paudel | | |
William EberleTennessee Technological UniversityVerified email at tntech.edu
