activity
20152020
most citedPrediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles

8 citations · 14 across the 3 of their papers we have counts for

collaborators

8 papers

stat.ML20208 cited

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…

cs.CV2020

EfficientPose: Scalable single-person pose estimation

Daniel Groos, Heri Ramampiaro, Espen A. F. Ihlen

Single-person human pose estimation facilitates markerless movement analysis in sports, as well as in clinical applications. Still, state-of-the-art models for human pose estimatio…

stat.AP2019

Forecasting Intra-Hour Imbalances in Electric Power Systems

Tárik S. Salem, Karan Kathuria, Heri Ramampiaro +1

Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is d…

cs.IR2019

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…

cs.SI2018

Securing Tag-based recommender systems against profile injection attacks: A comparative study

Georgios Pitsilis, Heri Ramampiaro, Helge Langseth

This work addresses challenges related to attacks on social tagging systems, which often comes in a form of malicious annotations or profile injection attacks. In particular, we st…

cs.CL2018

Extracting News Events from Microblogs

Øystein Repp, Heri Ramampiaro

Twitter stream has become a large source of information for many people, but the magnitude of tweets and the noisy nature of its content have made harvesting the knowledge from Twi…