Name
Abstract | ||
|---|---|---|
Unsupervised learning (UL) is a technique to detect previously unseen anomalies without needing labeled datasets. We propose the integration of a scalable UL-based inference component in the monitoring loop of an SDN-controlled optical network. (C) 2022 The Author(s) |
Year | Venue | DocType |
|---|---|---|
2022 | 2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Natalino | 1 | 0 | 0.34 |
| Carlos Manso | 2 | 0 | 0.68 |
| Lluis Gifre | 3 | 0 | 0.34 |
| Raul Munoz | 4 | 0 | 0.34 |
| Ricard Vilalta | 5 | 0 | 0.68 |
| Marija Furdek | 6 | 0 | 0.34 |
| Paolo Monti | 7 | 0 | 0.34 |