
Additional resources of the paper: Scalable auto-encoders for gravitational waves detection from time series data R Corizzo, M Ceci, E Zdravevski, N Japkowicz Expert Systems with Applications 151, 113378 Citation @article{corizzo2020scalable, title={Scalable auto-encoders for gravitational waves detection from time series data}, author={Corizzo, Roberto and Ceci, Michelangelo and Zdravevski, Eftim and Japkowicz, Nathalie}, journal={Expert Systems with Applications}, volume={151}, pages={113378}, year={2020}, publisher={Elsevier} }
Neural Networks, Computer, Astrophysics, Unsupervised Machine Learning/classification, Gravitational waves
Neural Networks, Computer, Astrophysics, Unsupervised Machine Learning/classification, Gravitational waves
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
