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Volcano-Seismic Transfer Learning and Uncertainty Quantification With Bayesian Neural Networks., , , , and . IEEE Trans. Geosci. Remote. Sens., 58 (2): 892-902 (2020)A Deep Neural Networks Approach to Automatic Recognition Systems for Volcano-Seismic Events., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (5): 1533-1544 (2018)Detection and Classification of Continuous Volcano-Seismic Signals With Recurrent Neural Networks., , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (4): 1936-1948 (2019)Classification of Volcano-Seismic Signals with Bayesian Neural Networks., , , , , and . EUSIPCO, page 2295-2299. IEEE, (2018)APASVO: A free software tool for automatic P-phase picking and event detection in seismic traces., , , , , , and . Comput. Geosci., (2016)Synthesizing scientometric paterns in Spanish educational research., and . Scientometrics, 46 (2): 349-367 (1999)Multivariate evaluation of Spanish educational research journals., and . Scientometrics, 55 (1): 87-102 (2002)Continuous Active Learning for Seismo-Volcanic Monitoring., , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Classification of Isolated Volcano-Seismic Events Based on Inductive Transfer Learning., , , , and . IEEE Geosci. Remote. Sens. Lett., 17 (5): 869-873 (2020)PICOSS: Python Interface for the Classification of Seismic Signals., , , , , , , , and . Comput. Geosci., (2020)