| Anomaly detection in edge streams using term frequency-inverse graph frequency (tf-igf) concept PB Lamichhane, W Eberle 2021 IEEE International Conference on Big Data (Big Data), 661-667, 2021 | 4 | 2021 |
| A quantitative risk analysis model and simulation of enterprise networks PB Lamichhane, L Hong, S Shetty 2018 IEEE 9th Annual Information Technology, Electronics and Mobile …, 2018 | 4 | 2018 |
| Discovering breach patterns on the internet of health things: A graph and machine learning anomaly analysis PB Lamichhane, H Mannering, W Eberle The International FLAIRS Conference Proceedings 35, 2022 | 3 | 2022 |
| Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs PB Lamichhane, W Eberle 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 706-713, 2022 | 2 | 2022 |
| Anomaly Detection in Graph Structured Data: A Survey P Lamichhane, W Eberle https://arxiv.org/pdf/2405.06172, 2024 | 1 | 2024 |
| Drug repurposing for rare orphan diseases using machine learning techniques R Manicavasaga, PB Lamichhane, P Kandel, DA Talbert The International FLAIRS Conference Proceedings 35, 2022 | 1 | 2022 |
| Anomaly Detection, Clustering, and Visualization on Dynamic Graphs PB Lamichhane Tennessee Technological University, 2022 | | 2022 |
William EberleTennessee Technological University在 tntech.edu 的电子邮件经过验证
William EberleTennessee Technological University在 tntech.edu 的电子邮件经过验证
Sachin ShettyOld Dominion University在 odu.edu 的电子邮件经过验证