61 citations
- ETH ZurichCH3 papers
- Institute of Earthquake Prediction Theory and Mathematical GeophysicsRU3 papers
- Space Research InstituteRU3 papers
- University of OuluFI3 papers
- Institute of Applied Geophysics of the Academy of SciencesRU2 papers
- Schmidt Institute of Physics of the EarthRU2 papers
- University of California SystemUS2 papers
- Boston UniversityUS1 paper
- Geophysical SurveyRU1 paper
- GFZ Helmholtz Centre for GeosciencesDE1 paper
- Institute of GeophysicsRU1 paper
- Istituto di Astrofisica Spaziale e Fisica Cosmica di MilanoIT1 paper
13 papers
End-to-End Argument Mining over Varying Rhetorical Structures
Elena Chistova
Rhetorical Structure Theory implies no single discourse interpretation of a text, and the limitations of RST parsers further exacerbate inconsistent parsing of similar structures.…
Light Coreference Resolution for Russian with Hierarchical Discourse Features
Elena Chistova, Ivan Smirnov
Coreference resolution is the task of identifying and grouping mentions referring to the same real-world entity. Previous neural models have mainly focused on learning span represe…
Geomagnetic Survey Interpolation with the Machine Learning Approach
Igor Aleshin, Kirill Kholodkov, Ivan Malygin +2
This paper portrays the method of UAV magnetometry survey data interpolation. The method accommodates the fact that this kind of data has a spatial distribution of the samples alon…
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation Network
H. T. Wang, J. S. Zhang, Z. X. Zhao +4
Velocity picking, a critical step in seismic data processing, has been studied for decades. Although manual picking can produce accurate normal moveout (NMO) velocities from the ve…
BitTorrent is Apt for Geophysical Data Collection and Distribution
K. I. Kholodkov, I. M. Aleshin, S. D. Ivanov
This article covers a nouveau idea of how to collect and handle geophysical data with a peer-to-peer network in near real-time. The text covers a brief introduction to the cause, t…
Prediction and understanding of soft proton contamination in XMM-Newton: a machine learning approach
E. A. Kronberg, F. Gastaldello, S. Haaland +10
One of the major and unfortunately unforeseen sources of background for the current generation of X-ray telescopes are few tens to hundreds of keV (soft) protons concentrated by th…