Skip to content

Helge Langseth

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

20

Venues

15

Active years

2001–2025

Best venue rank

A*

Where they publish

Papers

20 indexed papers, newest first.

YearVenueTitleAuthors
2025ECIROpt-in Transparent Fairness for Recommender Systems.Bjrnar Vassy, Benjamin Kille, Helge Langseth
2023ACMLASAP: Attention-Based State Space Abstraction for Policy Summarization.Yanzhe Bekkemoen, Helge Langseth
2023RecSysProviding Previously Unseen Users Fair Recommendations Using Variational Autoencoders.Bjrnar Vassy, Helge Langseth, Benjamin Kille
2022ICAARTDetection of Potential Manipulations in Electricity Market using Machine Learning Approaches.Shweta Tiwari, Gavin Bell, Helge Langseth, Heri Ramampiaro
2020UAIPrediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles.Trik S. Salem, Helge Langseth, Heri Ramampiaro
2019AAAIForecasting Intra-Hour Imbalances in Electric Power Systems.Trik S. Salem, Karan Kathuria, Heri Ramampiaro, Helge Langseth
2017ICCBRData Driven Case Base Construction for Prediction of Success of Marine Operations.Bjrn Magnus Mathisen, Agnar Aamodt, Helge Langseth
2017ICMLBayesian Models of Data Streams with Hierarchical Power Priors.Andrs R. Masegosa, Thomas D. Nielsen, Helge Langseth, Daro Ramos-Lpez, Antonio Salmern, Anders L. Madsen
2017RecSysInter-Session Modeling for Session-Based Recommendation.Massimiliano Ruocco, Ole Steinar Lillestl Skrede, Helge Langseth
2016ECAIParallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs.Antonio Salmern, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Daro Ramos-Lpez, Ana M. Martnez, Andrs R. Masegosa
2016ICDMFinancial Data Analysis with PGMs Using AMIDST.Rafael Cabaas, Ana M. Martnez, Andrs R. Masegosa, Daro Ramos-Lpez, Antonio Salmern, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2015ECSQARULearning Conditional Distributions Using Mixtures of Truncated Basis Functions.Inmaculada Prez-Bernab, Antonio Salmern, Helge Langseth
2015ECSQARUMPE Inference in Conditional Linear Gaussian Networks.Antonio Salmern, Rafael Rum, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
2015IDAModeling Concept Drift: A Probabilistic Graphical Model Based Approach.Hanen Borchani, Ana M. Martnez, Andrs R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmern, Antonio Fernndez, Anders L. Madsen, Ramn Sez
2015RecSysProbability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data.yvind H. Myklatun, Thorstein K. Thorrud, Hai Thanh Nguyen, Helge Langseth, Anders Kofod-Petersen
2013IWINACFast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation.Helge Langseth, David Marquez, Martin Neil
2011ISDAA hybrid CBR and BN architecture refined through data analysis.Tore Bruland, Agnar Aamodt, Helge Langseth
2010FlAIRSTowards a More Expressive Model for Dynamic Classification.Shengtong Zhong, Ana M. Martnez, Thomas D. Nielsen, Helge Langseth
2009ECSQARUMaximum Likelihood Learning of Conditional MTE Distributions.Helge Langseth, Thomas D. Nielsen, Rafael Rum, Antonio Salmern
2001FlAIRSStructural Learning in Object Oriented Domains.Olav Bangs, Helge Langseth, Thomas D. Nielsen