Submissions from 2022
Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data, Rahul Agrahari, Matthew Nicholson, Clare Conran, Haytham Assem, and John D. Kelleher
Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data, Rahul Agrahari, Matthew Nicholson, Clare Conran, Haythem Assem, and John D. Kelleher
Understanding the assumptions of an SEIR compartmental model using agentization and a complexity hierarchy, Elizabeth Hunter and John D. Kelleher
Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification, Vasudevan Nedumpozhimana, Filip Klubicka, and John Kelleher
The interaction of normalisation and clustering in sub-domain definition for multi-source transfer learning based time series anomaly detection, Matthew Nicholson, Rahul Agrahari, Clare Conran, Haythem Assem, and John D. Kelleher