no code implementations • 12 Oct 2020 • Daniel Groos, Lars Adde, Ragnhild Støen, Heri Ramampiaro, Espen A. F. Ihlen
Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk infants.
1 code implementation • 19 Jul 2020 • Tárik S. Salem, Helge Langseth, Heri Ramampiaro
The ensembled prediction intervals are aggregated as a split normal mixture accounting for possible multimodality and asymmetricity of the posterior predictive distribution, and resulting in prediction intervals that capture aleatoric and epistemic uncertainty.
1 code implementation • 25 Apr 2020 • 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.
Ranked #3 on Pose Estimation on MPII Single Person
no code implementations • 1 Feb 2019 • Tárik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth
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.
no code implementations • 24 Jan 2019 • 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.
no code implementations • 20 Jun 2018 • Øystein Repp, Heri Ramampiaro
As part of the evaluation, we compare our approach with a related state-of-the-art solution.
no code implementations • 22 May 2018 • Silje Christensen, Simen Johnsrud, Massimiliano Ruocco, Heri Ramampiaro
This work proposes a novel approach based on sequence-to-sequence (seq2seq) models for context-aware conversational systems.
1 code implementation • 13 Jan 2018 • Georgios K. Pitsilis, Heri Ramampiaro, Helge Langseth
This paper addresses the important problem of discerning hateful content in social media.
no code implementations • 7 Dec 2017 • Basant Agarwal, Heri Ramampiaro, Helge Langseth, Massimiliano Ruocco
Our experimental results show that the proposed approach outperforms existing state-of-the-art approaches on user-generated noisy social media data, such as Twitter texts, and achieves highly competitive performance on a cleaner corpus.