Name
Title | ||
|---|---|---|
Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification |
Abstract | ||
|---|---|---|
•We propose an application of multilabel methods to mass-spectrum identification.•The best performing model was a dependency binary classifier using XGBoost.•The mean and lowest AUC for the test set were 0.986 and 0.89, respectively.•A public interactive web has been created with the best model’s functionalities. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.114959 | Expert Systems with Applications |
Keywords | DocType | Volume |
Residual gas analysis,Mass spectrum identification,Multilabel classification,Ultra High Vacuum,Outgassing | Journal | 178 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Mateo | 1 | 42 | 5.63 |
| Juan José Garcés Iniesta | 2 | 0 | 0.34 |
| Berthold Jenninger | 3 | 0 | 0.34 |
| Juan Gómez-Sanchis | 4 | 33 | 3.89 |
| Emilio Soria-Olivas | 5 | 0 | 0.34 |
| Paolo Chiggiato | 6 | 0 | 0.34 |