Manuel Titos

Orcid: 0000-0002-8279-2341

According to our database1, Manuel Titos authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Fiber Optic Acoustic Sensing to Understand and Affect the Rhythm of the Cities: Proof-of-Concept to Create Data-Driven Urban Mobility Models.
Remote. Sens., July, 2023

The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase.
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Future Gener. Comput. Syst., 2023

Generating a Mobility-Pattern Database for Urban Traffic Monitoring Using Distributed Acoustic Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Classification & Clustering of Volcano-Seismic Events Using Supervised and Unsupervised Methods.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Toward Knowledge Extraction in Classification of Volcano-Seismic Events: Visualizing Hidden States in Recurrent Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Continuous Active Learning for Seismo-Volcanic Monitoring.
IEEE Geosci. Remote. Sens. Lett., 2022

2020
Classification of Isolated Volcano-Seismic Events Based on Inductive Transfer Learning.
IEEE Geosci. Remote. Sens. Lett., 2020

Automatic S-Phase Picking for Volcano-Tectonic Earthquakes Using Spectral Dissimilarity Analysis.
IEEE Geosci. Remote. Sens. Lett., 2020

PICOSS: Python Interface for the Classification of Seismic Signals.
Comput. Geosci., 2020

2019
Detection and Classification of Continuous Volcano-Seismic Signals With Recurrent Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2019

2018
A Deep Neural Networks Approach to Automatic Recognition Systems for Volcano-Seismic Events.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Classification of Volcano-Seismic Signals with Bayesian Neural Networks.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Automatic Detection of Long Period Events Based on Subband-Envelope Processing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016
APASVO: A free software tool for automatic P-phase picking and event detection in seismic traces.
Comput. Geosci., 2016


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