Name
Abstract | ||
|---|---|---|
•Bayesian change-point detection on multi-source temporal sequences of observations with mixed statistical type and high dimension.•Local observation models for support alignment and adaptive detection methodology.•Explainability on the contribution of each source to the global change-point detection.•Real-world experiments on smartphone-based monitoring dataset for healthcare. |
Year | DOI | Venue |
|---|---|---|
2023 | 10.1016/j.patcog.2022.109116 | Pattern Recognition |
Keywords | DocType | Volume |
Change-point detection,Multi-source data,Heterogeneous data,Latent variable models | Journal | 134 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorena Romero-Medrano | 1 | 0 | 1.01 |
| Antonio Artés-Rodríguez | 2 | 206 | 34.76 |