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.

My capstone project

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).

Master thesis preparation project on reducing simulation-to-data discrepancies in IceCube using transformer-based event classification, direction reconstruction, and GBDT reweighting.

Java-based internal security monitoring prototype for classifying simulated traffic events by severity and escalation need.

Proactive AI perception layer: 3-tier event classification at $0.000034/event with 76% zero-cost noise elimination