14 citations as recorded by crossref.

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2. Application of hidden semi-Markov models for the seismic hazard assessment of the North and South Aegean Sea, Greece C. Pertsinidou et al. https://doi.org/10.1080/02664763.2016.1193724
3. Detection and Classification of Continuous Volcano-Seismic Signals With Recurrent Neural Networks M. Titos et al. https://doi.org/10.1109/TGRS.2018.2870202
4. Parallel System Architecture (PSA): An efficient approach for automatic recognition of volcano-seismic events G. Cortés et al. https://doi.org/10.1016/j.jvolgeores.2013.07.004
5. Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models S. Bhatti et al. https://doi.org/10.1016/j.jvolgeores.2016.05.015
6. Characterization of volcanic regimes and identification of significant transitions using geophysical data: a review R. Carniel https://doi.org/10.1007/s00445-014-0848-0
7. Classifying seismic waveforms from scratch: a case study in the alpine environment C. Hammer et al. https://doi.org/10.1093/gji/ggs036
8. Multi-station automatic classification of seismic signatures from the Lascar volcano database P. Salazar et al. https://doi.org/10.5194/nhess-23-991-2023
9. Classification of Isolated Volcano-Seismic Events Based on Inductive Transfer Learning M. Titos et al. https://doi.org/10.1109/LGRS.2019.2931063
10. An end-to-end DNN-HMM based system with duration modeling for robust earthquake detection C. Murúa et al. https://doi.org/10.1016/j.cageo.2023.105434
11. Hidden Markov Models: The Best Models for Forager Movements? R. Joo et al. https://doi.org/10.1371/journal.pone.0071246
12. Hidden Semi-Markov Modeling for the Estimation of Earthquake Occurrence Rates I. Votsi et al. https://doi.org/10.1080/03610926.2013.857414
13. Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings M. Bicego et al. https://doi.org/10.1109/TGRS.2012.2220370
14. Constructing a Hidden Markov Model based earthquake detector: application to induced seismicity M. Beyreuther et al. https://doi.org/10.1111/j.1365-246X.2012.05361.x