62 citations · 70 across the 3 of their papers we have counts for
3 papers
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Tárik S. Salem, Helge Langseth, Heri Ramampiaro
Prediction intervals are a machine- and human-interpretable way to represent predictive uncertainty in a regression analysis. In this paper, we present a method for generating pred…
Learning similarity measures from data
Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach +1
Defining similarity measures is a requirement for some machine learning methods. One such method is case-based reasoning (CBR) where the similarity measure is used to retrieve the…
Securing Tag-based recommender systems against profile injection attacks: A comparative study. (Extended Report)
Georgios K. Pitsilis, Heri Ramampiaro, Helge Langseth
This work addresses the challenges related to attacks on collaborative tagging systems, which often comes in a form of malicious annotations or profile injection attacks. In partic…