Semi-supervised detection of collective anomalies with an application in high energy particle physics

By Tommi Vatanen, Mikael Kuusela, Eric Malmi, Tapani Raiko, Timo Aaltonen, Yoshikazu Nagai. 2012

28 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Epidemiology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Krikamol Muandet
2. Bernhard Schölkopf
3. David Lopez-Paz
4. Kenji Fukumizu
5. Bharath K. Sriperumbudur
6. Arthur Gretton
7. Jan Peters
8. Kun Zhang

In Epidemiology

1. Bernhard Schölkopf

Citations in the corpus

• One-Class Support Measure Machines for Group Anomaly Detection (2013, methodology): “In this experiment, we consider similar condition as in Vatanen et al. (2012) and generate data using the standard HEP Monte Carlo generators such as PYTHIA3.”