142 citations · 285 across the 4 of their papers we have counts for
4 papers
Modeling the Asymptotic Behavior of Higher-Order Aftershocks with Deep Learning
Leila Mizrahi, Dario Jozinović
Aftershocks of aftershocks - and their aftershock cascades - substantially contribute to the increased seismicity rate and the associated elevated seismic hazard after the occurren…
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?
Erik Otović, Marko Njirjak, Dario Jozinović +3
In practice, it is very demanding and sometimes impossible to collect datasets of tagged data large enough to successfully train a machine learning model, and one possible solution…
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinović +2
Machine learning, with its advances in deep learning has shown great potential in analyzing time series. In many scenarios, however, additional information that can potentially imp…
Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network
Dario Jozinović, Anthony Lomax, Ivan Štajduhar +1
This study describes a deep convolutional neural network (CNN) based technique for the prediction of intensity measurements (IMs) of ground shaking. The input data to the CNN model…