Papers

• Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications (2025)
  Pradeep Kumar Shukla et al.
  5.04
• GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series (2026)
  Nick Teutschmann (1) et al.
  1.89
• Long-range properties and data validity for hydrogeological time series: the case of the Paglia river (2016)
  Marcel Ausloos et al.
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• Classes of low-frequency earthquakes based on inter-time distribution reveal a precursor event for the 2011 Great Tohoku Earthquake (2018)
  Tomoki Tokuda and Hirohiko Shimada
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• Understanding the input-output relationship of neural networks in the time series forecasting radon levels at Canfranc Underground Laboratory (2021)
  I\~naki Rodr\'iguez-Garc\'ia and Miguel C\'ardenas-Montes
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• Deep Learning-based Damage Mapping with InSAR Coherence Time Series (2021)
  Oliver L. Stephenson et al.
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• Data-driven modeling of time-domain induced polarization (2021)
  Charles L. B\'erub\'e and Pierre B\'erub\'e
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• Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm (2023)
  Menglin Kong et al.
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• Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction (2024)
  Giuseppe Costantino et al.
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• Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting (2024)
  Alireza Jafari et al.
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