Code and data for CIKM-2021 paper《Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification》
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Updated
May 3, 2022 - Python
Code and data for CIKM-2021 paper《Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification》
This repository contains all necessary meta information, results and source files to reproduce the results in the publication Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, and Ralph Ewerth: "Ontology-driven Event Type Classification in Images". In: IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE…
event detection and classification for Italian
Physics Neutrino Event Classification with DPCNN Model
Physics-aware machine learning study for event classification in high-energy physics.
Applications of Data Intensive Science to High Energy Physics. The main essay discusses flavour tagging subatomic particles by training a neural network classifier on data obtained from the Future Circular Collider (FCC). The classifier is a hybrid of a transformer and recurrent neural network (RNN).
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