2 citations · 3 across the 2 of their papers we have counts for
3 papers
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database
Mateja Napravnik, Franko Hržić, Sebastian Tschauner +1
Background and objective: The usage of machine learning in medical diagnosis and treatment has witnessed significant growth in recent years through the development of computer-aide…
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data
Arian Skoki, Jonatan Lerga, Ivan Štajduhar
Defensive Pass Interference (DPI) is one of the most impactful penalties in the NFL. DPI is a spot foul, yielding an automatic first down to the team in possession. With such an in…
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…