29 citations · 52 across the 4 of their papers we have counts for
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stat.ML2021★ 29 cited
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models
Emmanuel Ramasso, Thierry Denoeux, Gael Chevallier
The interpretation of unlabeled acoustic emission (AE) data classically relies on general-purpose clustering methods. While several external criteria have been used in the past to…
stat.ML2021★ 6 cited
Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics
Pablo Juesas, Emmanuel Ramasso, Sébastien Drujont +1
[This paper was initially published in PHME conference in 2016, selected for further publication in International Journal of Prognostics and Health Management.] This paper describe…