Helge Langseth
Om
Forskningsområde: Kunstig Intelligens
Jeg jobber med systemer som skal hjelpe mennesker med å ta vanskelige beslutninger, spesielt i situasjoner der beslutningene skal tas basert på delvis manglende eller usikker informasjon. Konkret er jeg interessert i
- Probabilistiske grafiske modeller, spesielt Bayesianske nett
- Beslutningsstøtte-systemer
- Bayesianske metoder
- Maskinlæring
- Kunstig intelligens (AI)
Forskningsgruppe: Intelligente systemer
Personlig hjemmeside: www.idi.ntnu.no/~helgel/
Kompetanseord
Publikasjoner
2024
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Langseth, Helge;
Ramampiaro, Heri;
Bach, Kerstin.
(2024)
Improving Labour Inspection Efficiency via Machine Learning.
NTNU
Doktorgradsavhandling
-
Vassøy, Bjørnar;
Langseth, Helge.
(2024)
Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation.
Artificial Intelligence Review
Vitenskapelig oversiktsartikkel/review
-
Sævik, Svein;
Wu, Jie;
Leira, Bernt Johan;
Langseth, Helge.
(2024)
Applying Bayesian optimization to predict parameters in a time-domain model for cross-flow vortex-induced vibrations.
Marine Structures
Vitenskapelig artikkel
-
Bekkemoen, Yanzhe;
Langseth, Helge.
(2024)
ASAP: Attention-Based State Space Abstraction for Policy Summarization.
Proceedings of Machine Learning Research (PMLR)
Vitenskapelig artikkel
-
Stubberud, Anker;
Langseth, Helge;
Nachev, Parashkev;
Matharu, Manjit S.;
Tronvik, Erling Andreas.
(2024)
Artificial intelligence and headache.
Cephalalgia
Vitenskapelig oversiktsartikkel/review
-
Danelakis, Antonios;
Langseth, Helge;
Nachev, Parashkev;
Nelson, Amy;
Bjørk, Marte-Helene;
Matharu, Manjit Singh.
(2024)
What predicts citation counts and translational impact in headache research? A machine learning analysis.
Cephalalgia
Vitenskapelig artikkel
-
Bjøru, Anna Rodum;
Cabañas, Rafael;
Langseth, Helge;
Salmerón, Antonio.
(2024)
A Divide and Conquer Approach for Solving Structural Causal Models.
Proceedings of Machine Learning Research (PMLR)
Vitenskapelig artikkel
2023
-
Killingberg, Ludvig;
Langseth, Helge.
(2023)
The Multiquadric Kernel for Moment-Matching Distributional Reinforcement Learning.
Transactions on Machine Learning Research (TMLR)
Vitenskapelig artikkel
-
Killingberg, Ludvig;
Langseth, Helge.
(2023)
Bayesian Exploration in Deep Reinforcement Learning.
CEUR Workshop Proceedings
Vitenskapelig artikkel
-
Aftab, Sofia;
Ramampiaro, Heri;
Langseth, Helge;
Ruocco, Massimiliano.
(2023)
Deep Contextual Grid Triplet Network for Context-Aware Recommendation.
IEEE Access
Vitenskapelig artikkel
-
Vassøy, Bjørnar;
Langseth, Helge;
Kille, Benjamin Uwe.
(2023)
Providing Previously Unseen Users Fair Recommendations Using
Variational Autoencoders.
Association for Computing Machinery (ACM)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Gundersen, Odd Erik;
Shamsaliei, Saeid;
Kjærnli, Håkon Slåtten;
Langseth, Helge.
(2023)
On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness.
Association for Computing Machinery (ACM)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Baumgartner, David;
Langseth, Helge;
Ramampiaro, Heri;
Engø-Monsen, Kenth.
(2023)
mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Hanssen, Jørgen;
Langseth, Helge.
(2023)
Expanding Our Knowledge of Maritime Trade with AIS and Explainable AI Systems.
NTNU
Mastergradsoppgave
-
Myhre, Henrik;
Matsen, Erik;
Langseth, Helge.
(2023)
Making Sense of Tabular Neural Networks: Interpretability using Concept Detection.
NTNU
Mastergradsoppgave
2022
-
Tiwari, Shweta;
Bell, Gavin;
Langseth, Helge;
Ramampiaro, Heri.
(2022)
Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches.
Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART)
Vitenskapelig artikkel
-
Langseth, Helge;
Høijord, Espen Hansen.
(2022)
Explainable AI (XAI) for grid loss forecasting.
Fakultet for informasjonsteknologi og elektroteknikk
Mastergradsoppgave
-
Andersen, Martin Lieberkind;
Sævik, Svein;
Leira, Bernt Johan;
Wu, Jie;
Langseth, Helge;
Passano, Elizabeth Anne.
(2022)
Estimation of VIV-parameters based on Response Measurements and Bayesian Machine Learning Algorithms.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Salmeron, Antonio;
Langseth, Helge;
Masegosa, Andres;
Nielsen, Thomas D..
(2022)
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications.
Proceedings of Machine Learning Research (PMLR)
Vitenskapelig artikkel
2021
-
de Souza da Silva, Eliezer;
Langseth, Helge;
Ramampiaro, Heri.
(2021)
Factorization models with relational and contextual
information:
Probabilistic factorization, Point processes
and neural sequential models.
Doctoral theses at NTNU (1)
Doktorgradsavhandling
-
Tiwari, Shweta;
Ramampiaro, Heri;
Langseth, Helge.
(2021)
Machine Learning in Financial Market Surveillance: A Survey.
IEEE Access
Vitenskapelig oversiktsartikkel/review
-
Masegosa, Andres;
Cabañas, Rafael;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2021)
Probabilistic Models with Deep Neural Networks.
Entropy
Vitenskapelig artikkel
-
Bekkemoen, Yanzhe;
Langseth, Helge.
(2021)
Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities.
Norwegian University of Science and Technology
Mastergradsoppgave
-
Kvamme, Johannes;
Larsen, Pål-Edward;
Langseth, Helge.
(2021)
Achieving Trustable Explanations Through Multi-Task Learning Neural Networks.
Norwegian University of Science and Technology
Mastergradsoppgave
-
Mathisen, Bjørn Magnus;
Aamodt, Agnar;
Bach, Kerstin;
Langseth, Helge.
(2021)
Using similarity learning to enable decision support in aquaculture.
Doctoral theses at NTNU (331)
Doktorgradsavhandling
2020
-
Masegosa, Andres;
Ramos-López, Dario;
Salmeron, Antonio;
Langseth, Helge;
Nielsen, Thomas D..
(2020)
Variational Inference over Nonstationary Data Streams for Exponential Family Models.
Mathematics
Vitenskapelig artikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2020)
Analyzing concept drift: A case study in the financial sector.
Intelligent Data Analysis
Vitenskapelig artikkel
-
Saleh Salem, Tárik;
Langseth, Helge;
Ramampiaro, Heri.
(2020)
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles.
Proceedings of Machine Learning Research (PMLR)
Vitenskapelig artikkel
-
Høiem, Kristian Wang;
Santi, Vemund Mehl;
Torsæter, Bendik Nybakk;
Langseth, Helge;
Andresen, Christian Andre;
Rosenlund, Gjert Hovland.
(2020)
Comparative Study of Event Prediction in Power Grids using Supervised Machine Learning Methods.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2019
-
Swider, Anna;
Langseth, Helge;
Pedersen, Eilif.
(2019)
Application of data-driven models in the analysis of marine power systems.
Applied Ocean Research
Vitenskapelig artikkel
-
Saleh Salem, Tárik;
Kathuria, Karan;
Ramampiaro, Heri;
Langseth, Helge.
(2019)
Forecasting Intra-Hour Imbalances in Electric Power Systems.
Proceedings of the AAAI Conference on Artificial Intelligence
Vitenskapelig artikkel
-
Ramampiaro, Heri;
Langseth, Helge;
Almenningen, Thomas;
Schistad, Herman;
Havig, Martin Christian;
Nguyen, Hai Thanh.
(2019)
New Ideas in Ranking for Personalized Fashion Recommender Systems.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Cabañas, Rafael;
Salmeron, Antonio;
Langseth, Helge.
(2019)
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowledge-Based Systems
Vitenskapelig artikkel
-
Mathisen, Bjørn Magnus;
Aamodt, Agnar;
Langseth, Helge;
Bach, Kerstin.
(2019)
Learning similarity measures from data.
Progress in Artificial Intelligence
Vitenskapelig artikkel
2018
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Association for Computing Machinery (ACM)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Agarwal, Basant;
Ramampiaro, Heri;
Langseth, Helge;
Ruocco, Massimiliano.
(2018)
A deep network model for paraphrase detection in short text messages.
Information Processing & Management
Vitenskapelig artikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Cabañas, Rafael;
Salmerón, Antonio;
Langseth, Helge.
(2018)
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowledge-Based Systems
Vitenskapelig artikkel
-
Salmeron, Antonio;
Rumi, Rafael;
Langseth, Helge;
Nielsen, Thomas D.;
Madsen, Anders L..
(2018)
A Review of Inference Algorithms for Hybrid Bayesian Networks.
The journal of artificial intelligence research
Vitenskapelig oversiktsartikkel/review
-
Ramos-López, Dario;
Masegosa, Andres R.;
Salmerón, Antonio;
Rumi, Rafael;
Langseth, Helge;
Nielsen, Thomas D..
(2018)
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Pitsilis, Georgios;
Ramampiaro, Heri;
Langseth, Helge.
(2018)
Effective hate-speech detection in Twitter data using recurrent neural networks.
Applied intelligence (Boston)
Vitenskapelig artikkel
2017
-
Ruocco, Massimiliano;
Skrede, Ole Steinar Lillestøl;
Langseth, Helge.
(2017)
Inter-Session Modeling for Session-Based Recommendation.
Association for Computing Machinery (ACM)
Association for Computing Machinery (ACM)
Vitenskapelig antologi/Konferanseserie
-
de Souza da Silva, Eliezer;
Langseth, Helge;
Ramampiaro, Heri.
(2017)
Content-Based Social Recommendation with Poisson Matrix Factorization.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Martinez, Ana M.;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Ramos-López, Dario.
(2017)
Scaling up Bayesian variational inference using distributed computing clusters.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Nielsen, Thomas D.;
Langseth, Helge;
Ramos-López, Dario;
Salmeron, Antonio;
Madsen, Anders L..
(2017)
Bayesian Models of Data Streams with Hierarchical Power Priors.
JMLR Workshop and Conference Proceedings
Vitenskapelig artikkel
-
Mathisen, Bjørn Magnus;
Aamodt, Agnar;
Langseth, Helge.
(2017)
Data driven case base construction for prediction of success of marine operations
.
CEUR Workshop Proceedings
Vitenskapelig artikkel
-
Ramos-López, Dario;
Masegosa, Andres R.;
Martinez, Ana M.;
Salmeron, Antonio;
Nielsen, Thomas D.;
Langseth, Helge.
(2017)
MAP inference in dynamic hybrid Bayesian networks
.
Progress in Artificial Intelligence
Vitenskapelig artikkel
-
Madsen, Anders L.;
Jensen, Frank;
Salmeron, Antonio;
Langseth, Helge;
Nielsen, Thomas D..
(2017)
A parallel algorithm for Bayesian network structure learning from large data sets.
Knowledge-Based Systems
Vitenskapelig artikkel
-
Cabañas, Rafael;
Martínez, Ana M.;
Masegosa, Andres R.;
Ramos-López, Darío;
Salmerón, Antonio;
Nielsen, Thomas D..
(2017)
Financial data analysis with PGMs using AMIDST.
IEEE International Conference on Data Mining Workshops, ICDMW
Vitenskapelig artikkel
2016
-
Salmerón, Antonio;
Madsen, Anders L.;
Jensen, Frank;
Langseth, Helge;
Nielsen, Thomas D.;
Ramos-López, Dario.
(2016)
Parallel filter-based feature selection based on balanced incomplete block designs.
Frontiers in Artificial Intelligence and Applications
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Martinez, Ana M.;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Ramos-López, Dario.
(2016)
d-VMP: Distributed Variational Message Passing.
Journal of machine learning research
Vitenskapelig artikkel
-
Ramos-López, Dario;
Salmeron, Antonio;
Rumi, Rafael;
Martinez, Ana M.;
Nielsen, Thomas D.;
Masegosa, Andres R..
(2016)
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Journal of machine learning research
Vitenskapelig artikkel
-
Ramos-Lopez, Dario;
Salmeron, Antonio;
Rumi, Rafel;
Martinez, Ana M.;
Nielsen, Thomas D.;
Masegosa Arredondo, Andres Ramon.
(2016)
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Journal of machine learning research
Vitenskapelig artikkel
2015
-
Madsen, Anders L.;
Jensen, Frank;
Salmeron, Antonio;
Langseth, Helge;
Nielsen, Thomas D..
(2015)
Parallelization of the PC Algorithm.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Salmeron, Antonio;
Ramoz-López, Darío;
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Fernandez, Antonio.
(2015)
Parallel importance sampling in conditional linear gaussian networks.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Høverstad, Boye Annfelt;
Tidemann, Axel;
Langseth, Helge;
Øzturk, Pinar.
(2015)
Short-Term Load Forecasting With Seasonal Decomposition Using Evolution for Parameter Tuning.
IEEE Transactions on Smart Grid
Vitenskapelig artikkel
-
Pérez-Bernabé, Inmaculada;
Salmeron, Antonio;
Langseth, Helge.
(2015)
Learning conditional distributions using mixtures of truncated basis functions.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Salmeron, Antonio;
Rumi, Rafael;
Langseth, Helge;
Madsen, Anders L.;
Nielsen, Thomas D..
(2015)
MPE inference in Conditional Linear Gaussian Networks.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Myklatun, Øyvind Herstad;
Thorrud, Thorstein Kaldahl;
Nguyen, Hai Thanh;
Langseth, Helge;
Kofod-Petersen, Anders.
(2015)
Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data.
ACM Publications
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2015)
Modeling concept drift: A probabilistic graphical model based approach
.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2015)
Dynamic Bayesian modeling for risk prediction in credit operations.
Frontiers in Artificial Intelligence and Applications
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2015)
Scalable learning of probabilistic latent models for collaborative filtering.
Decision Support Systems
Vitenskapelig artikkel
2014
-
Zhong, Shengtong;
Langseth, Helge;
Nielsen, Thomas D..
(2014)
A classification-based approach to monitoring the safety of dynamic systems.
Reliability Engineering & System Safety
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Pérez-Bernabé, Inmaculada;
Salmeron, Antonio.
(2014)
Learning mixtures of truncated basis functions from data.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Nguyen, Hai Thanh;
Almenningen, Thomas;
Havig, Martin;
Schistad, Herman;
Kofod-Petersen, Anders;
Langseth, Helge.
(2014)
Learning to Rank for Personalized Fashion Recommender Systems via Implicit Feedback.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Madsen, Anders L.;
Jensen, Frank;
Salmeron, Antonio;
Karlsen, Martin;
Langseth, Helge;
Nielsen, Thomas D..
(2014)
A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Nielsen, Thomas D.;
Hovda, Sigve;
Fernandez, Antonio;
Langseth, Helge;
Madsen, Anders L.;
Masegosa, Andres.
(2014)
Requirement Engineering for a Small Project with Pre-Specified Scope.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Vitenskapelig artikkel
2013
-
Langseth, Helge.
(2013)
Beating the bookie: A look at statistical models for prediction of football matches.
IOS Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Tidemann, Axel;
Høverstad, Boye Annfelt;
Langseth, Helge;
Øzturk, Pinar.
(2013)
Effects of scale on load prediction algorithms.
CIRED - Congrès International des Réseaux Electriques de Distribution
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Høverstad, Boye Annfelt;
Tidemann, Axel;
Langseth, Helge.
(2013)
Effects of data cleansing on load prediction algorithms.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Marquez, David;
Neil, Martin.
(2013)
Fast approximate inference in hybrid Bayesian networks using dynamic discretisation.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
2012
-
Langseth, Helge;
Nielsen, Thomas D..
(2012)
A latent model for collaborative filtering.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2012)
Mixtures of truncated basis functions.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2012)
Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2012)
Learning Mixtures of Truncated Basis Functions from Data.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2011
-
Lillegraven, Terje N.;
Wolden, Arnt C.;
Kofod-Petersen, Anders;
Langseth, Helge.
(2011)
A design for a tourist CF system.
Frontiers in Artificial Intelligence and Applications
Sammendrag/abstract
-
Houeland, Tor Gunnar Høst;
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2011)
Combining CBR and BN using metareasoning.
Frontiers in Artificial Intelligence and Applications
Vitenskapelig artikkel
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2011)
A hybrid CBR and BN architecture refined through data analysis.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Heintz, Fredrik;
Langseth, Helge.
(2011)
Foreword.
IOS Press
Forord
-
Kofod-Petersen, Anders;
Heintz, Fredrik;
Langseth, Helge.
(2011)
Eleventh Scandinavian Conference on Artificial Intelligence -- SCAI 2011.
IOS Press
Frontiers in Artificial Intelligence and Applications (227)
Vitenskapelig antologi/Konferanseserie
2010
-
Kofod-Petersen, Anders;
Langseth, Helge.
(2010)
Tourist Without a Cause.
Tapir Akademisk Forlag
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2010)
Architectures integrating case-based reasoning and Bayesian networks for clinical decision support.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2010)
Parameter Estimation and Model Selection for Mixtures of Truncated Exponentials.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Kofod-Petersen, Anders;
Langseth, Helge;
Aamodt, Agnar.
(2010)
Explanations in Bayesian networks using provenance through case-based reasoning.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Fernandez, Antonio;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2010)
Parameter learning in MTE networks using incomplete data.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zhong, Shengtong;
Martinez, Ana M.;
Nielsen, Thomas D.;
Langseth, Helge.
(2010)
Towards a More Expressive Model for Dynamic Classification.
AAAI Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2010)
Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support.
IFIP Advances in Information and Communication Technology
Vitenskapelig artikkel
2009
-
Langseth, Helge;
Nielsen, Thomas D..
(2009)
Latent Classification Models for Binary Data.
Pattern Recognition
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Inference in Hybrid Bayesian Networks.
Reliability Engineering & System Safety
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Maximum Likelihood Learning of Conditional MTE Distributions.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Kofod-Pedersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag
Tapir Akademisk Forlag
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag
Tapir Akademisk Forlag
Vitenskapelig antologi/Konferanseserie
-
Langseth, Helge;
Nielsen, Thomas D..
(2009)
A latent model for collaborative filtering.
Aalborg Universitetsforlag
Aalborg Universitetsforlag
Rapport
-
Zhong, Shengtong;
Langseth, Helge.
(2009)
Local-Global-Learning of Naive Bayesian Classifier.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge.
(2009)
Bayesian Networks for Collaborative Filtering.
Tapir Akademisk Forlag
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Preface.
Tapir Akademisk Forlag
Forord
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Maximum Likelihood Learning of Conditional MTE Distributions.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the first Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag
Tapir Akademisk Forlag
Vitenskapelig antologi/Konferanseserie
2008
-
Langseth, Helge;
Jensen, Finn V..
(2008)
Bayesian Networks and Decision Graphs in Reliability.
John Wiley & Sons
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge.
(2008)
Bayesian networks in Reliability: The Good, The Bad, and The Ugly.
IOS Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2007
-
Langseth, Helge;
Cojazzi, Giacomo G.M..
(2007)
Reliability of Safety-Critical Systems: Proceedings of the 30th ESReDA Seminar Hosted by SINTEF, Trondheim, Norway June 7-8, 2006.
Office for Official publications of the European communities
Vitenskapelig antologi/Konferanseserie
-
Langseth, Helge;
Portinale, Luigi.
(2007)
Applications of Bayesian Networks in Reliability Analysis.
Idea Group Publishing
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Portinale, Luigi.
(2007)
Bayesian Networks in Reliability.
Reliability Engineering & System Safety
Vitenskapelig artikkel
2006
-
Langseth, Helge;
Lindqvist, Bo Henry.
(2006)
Competing risks for repairable systems: A data study.
Journal of Statistical Planning and Inference
Vitenskapelig artikkel
-
Lindqvist, Bo;
Støve, Bård;
Langseth, Helge.
(2006)
Modelling of dependence between critical failure and preventive maintenance: The repair alert model.
Journal of Statistical Planning and Inference
Vitenskapelig artikkel
-
Vatn, Jørn;
Langseth, Helge.
(2006)
Estimation of Weibull parameters when the i.i.d. assumption does not hold.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lindqvist, Bo Henry;
Støve, Bård;
Langseth, Helge.
(2006)
Modelling of dependence between critical failure and preventive maintenance: The repair alert model.
Journal of Statistical Planning and Inference
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2006)
Classification using Hierarchical Naïve Bayes models.
Machine Learning
Vitenskapelig artikkel
2005
-
Lindqvist, Bo Henry;
Langseth, Helge.
(2005)
Statistical modelling and inference for component failure times under preventive maintenance and independent censoring.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Hokstad, Per;
Langseth, Helge;
Lindqvist, Bo Henry;
Vatn, Jørn.
(2005)
Failure modeling and maintenance optimization for a railway line.
International Journal of Performability Engineering
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2005)
Latent classification models.
Machine Learning
Vitenskapelig artikkel
2004
-
Bjørkvoll, Thor;
Langseth, Helge.
(2004)
The Prioritization of Risk Reducing Measures in View of Uncertain Cost/Benefits.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2003
-
Langseth, Helge;
Nielsen, Thomas D..
(2003)
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains.
Journal of machine learning research
Vitenskapelig artikkel
-
Langseth, Helge;
Jensen, Finn V..
(2003)
Decision Theoretic Troubleshooting of Coherent Systems.
Reliability Engineering & System Safety
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(2003)
A maintenance model for components exposed to several failure mechanisms and imperfect repair.
World Scientific
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2002
-
Langseth, Helge.
(2002)
Bayesian Networks with Applications in Reliability Analysis.
Tapir Akademisk Forlag
Doktor ingeniøravhandling : Dr.Ing.avhandling (2002:121)
Doktorgradsavhandling
2001
-
Jensen, Finn V.;
Kjærulff, Uffe;
Langseth, Helge;
Scaanning, Claus;
Vomlelova, Marta;
Vomlel, Jiri.
(2001)
The SACSO methodology for troubleshooting complex systems.
Artificial intelligence for engineering design, analysis and manufacturing
Vitenskapelig artikkel
-
Langseth, Helge;
Bangsø, Olav.
(2001)
Parameter Learning in Object Oriented Bayesian Networks.
Annals of Mathematics and Artificial Intelligence
Vitenskapelig artikkel
1999
-
Langseth, Helge;
Aamodt, Agnar;
Winnem, Ole Martin.
(1999)
Learning retrieval knowledge from data.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
1998
-
Langseth, Helge;
Lindqvist, Bo Henry.
(1998)
Uncertainty bounds for a monotone multistate system.
Probability in the engineering and informational sciences (Print)
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(1998)
Uncertainty Bounds for a Monotone Multistate System.
Probability in the Engineering and Informational Science
Populærvitenskapelig artikkel
-
Aamodt, Agnar;
Langseth, Helge.
(1998)
Integrating Bayesian networks into knowledge-intensive CBR.
AAAI Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Haugen, Knut E. ;
Sandtorv, Helge A..
(1998)
Analysis of OREDA Data for Maintenance Optimisation.
Reliability Engineering & System Safety
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Vassøy, Bjørnar;
Langseth, Helge.
(2024)
Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation.
Artificial Intelligence Review
Vitenskapelig oversiktsartikkel/review
-
Sævik, Svein;
Wu, Jie;
Leira, Bernt Johan;
Langseth, Helge.
(2024)
Applying Bayesian optimization to predict parameters in a time-domain model for cross-flow vortex-induced vibrations.
Marine Structures
Vitenskapelig artikkel
-
Bekkemoen, Yanzhe;
Langseth, Helge.
(2024)
ASAP: Attention-Based State Space Abstraction for Policy Summarization.
Proceedings of Machine Learning Research (PMLR)
Vitenskapelig artikkel
-
Stubberud, Anker;
Langseth, Helge;
Nachev, Parashkev;
Matharu, Manjit S.;
Tronvik, Erling Andreas.
(2024)
Artificial intelligence and headache.
Cephalalgia
Vitenskapelig oversiktsartikkel/review
-
Danelakis, Antonios;
Langseth, Helge;
Nachev, Parashkev;
Nelson, Amy;
Bjørk, Marte-Helene;
Matharu, Manjit Singh.
(2024)
What predicts citation counts and translational impact in headache research? A machine learning analysis.
Cephalalgia
Vitenskapelig artikkel
-
Bjøru, Anna Rodum;
Cabañas, Rafael;
Langseth, Helge;
Salmerón, Antonio.
(2024)
A Divide and Conquer Approach for Solving Structural Causal Models.
Proceedings of Machine Learning Research (PMLR)
Vitenskapelig artikkel
-
Killingberg, Ludvig;
Langseth, Helge.
(2023)
The Multiquadric Kernel for Moment-Matching Distributional Reinforcement Learning.
Transactions on Machine Learning Research (TMLR)
Vitenskapelig artikkel
-
Killingberg, Ludvig;
Langseth, Helge.
(2023)
Bayesian Exploration in Deep Reinforcement Learning.
CEUR Workshop Proceedings
Vitenskapelig artikkel
-
Aftab, Sofia;
Ramampiaro, Heri;
Langseth, Helge;
Ruocco, Massimiliano.
(2023)
Deep Contextual Grid Triplet Network for Context-Aware Recommendation.
IEEE Access
Vitenskapelig artikkel
-
Tiwari, Shweta;
Bell, Gavin;
Langseth, Helge;
Ramampiaro, Heri.
(2022)
Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches.
Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART)
Vitenskapelig artikkel
-
Salmeron, Antonio;
Langseth, Helge;
Masegosa, Andres;
Nielsen, Thomas D..
(2022)
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications.
Proceedings of Machine Learning Research (PMLR)
Vitenskapelig artikkel
-
Tiwari, Shweta;
Ramampiaro, Heri;
Langseth, Helge.
(2021)
Machine Learning in Financial Market Surveillance: A Survey.
IEEE Access
Vitenskapelig oversiktsartikkel/review
-
Masegosa, Andres;
Cabañas, Rafael;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2021)
Probabilistic Models with Deep Neural Networks.
Entropy
Vitenskapelig artikkel
-
Masegosa, Andres;
Ramos-López, Dario;
Salmeron, Antonio;
Langseth, Helge;
Nielsen, Thomas D..
(2020)
Variational Inference over Nonstationary Data Streams for Exponential Family Models.
Mathematics
Vitenskapelig artikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2020)
Analyzing concept drift: A case study in the financial sector.
Intelligent Data Analysis
Vitenskapelig artikkel
-
Saleh Salem, Tárik;
Langseth, Helge;
Ramampiaro, Heri.
(2020)
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles.
Proceedings of Machine Learning Research (PMLR)
Vitenskapelig artikkel
-
Swider, Anna;
Langseth, Helge;
Pedersen, Eilif.
(2019)
Application of data-driven models in the analysis of marine power systems.
Applied Ocean Research
Vitenskapelig artikkel
-
Saleh Salem, Tárik;
Kathuria, Karan;
Ramampiaro, Heri;
Langseth, Helge.
(2019)
Forecasting Intra-Hour Imbalances in Electric Power Systems.
Proceedings of the AAAI Conference on Artificial Intelligence
Vitenskapelig artikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Cabañas, Rafael;
Salmeron, Antonio;
Langseth, Helge.
(2019)
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowledge-Based Systems
Vitenskapelig artikkel
-
Mathisen, Bjørn Magnus;
Aamodt, Agnar;
Langseth, Helge;
Bach, Kerstin.
(2019)
Learning similarity measures from data.
Progress in Artificial Intelligence
Vitenskapelig artikkel
-
Agarwal, Basant;
Ramampiaro, Heri;
Langseth, Helge;
Ruocco, Massimiliano.
(2018)
A deep network model for paraphrase detection in short text messages.
Information Processing & Management
Vitenskapelig artikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Cabañas, Rafael;
Salmerón, Antonio;
Langseth, Helge.
(2018)
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowledge-Based Systems
Vitenskapelig artikkel
-
Salmeron, Antonio;
Rumi, Rafael;
Langseth, Helge;
Nielsen, Thomas D.;
Madsen, Anders L..
(2018)
A Review of Inference Algorithms for Hybrid Bayesian Networks.
The journal of artificial intelligence research
Vitenskapelig oversiktsartikkel/review
-
Ramos-López, Dario;
Masegosa, Andres R.;
Salmerón, Antonio;
Rumi, Rafael;
Langseth, Helge;
Nielsen, Thomas D..
(2018)
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Pitsilis, Georgios;
Ramampiaro, Heri;
Langseth, Helge.
(2018)
Effective hate-speech detection in Twitter data using recurrent neural networks.
Applied intelligence (Boston)
Vitenskapelig artikkel
-
de Souza da Silva, Eliezer;
Langseth, Helge;
Ramampiaro, Heri.
(2017)
Content-Based Social Recommendation with Poisson Matrix Factorization.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Martinez, Ana M.;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Ramos-López, Dario.
(2017)
Scaling up Bayesian variational inference using distributed computing clusters.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Nielsen, Thomas D.;
Langseth, Helge;
Ramos-López, Dario;
Salmeron, Antonio;
Madsen, Anders L..
(2017)
Bayesian Models of Data Streams with Hierarchical Power Priors.
JMLR Workshop and Conference Proceedings
Vitenskapelig artikkel
-
Mathisen, Bjørn Magnus;
Aamodt, Agnar;
Langseth, Helge.
(2017)
Data driven case base construction for prediction of success of marine operations
.
CEUR Workshop Proceedings
Vitenskapelig artikkel
-
Ramos-López, Dario;
Masegosa, Andres R.;
Martinez, Ana M.;
Salmeron, Antonio;
Nielsen, Thomas D.;
Langseth, Helge.
(2017)
MAP inference in dynamic hybrid Bayesian networks
.
Progress in Artificial Intelligence
Vitenskapelig artikkel
-
Madsen, Anders L.;
Jensen, Frank;
Salmeron, Antonio;
Langseth, Helge;
Nielsen, Thomas D..
(2017)
A parallel algorithm for Bayesian network structure learning from large data sets.
Knowledge-Based Systems
Vitenskapelig artikkel
-
Cabañas, Rafael;
Martínez, Ana M.;
Masegosa, Andres R.;
Ramos-López, Darío;
Salmerón, Antonio;
Nielsen, Thomas D..
(2017)
Financial data analysis with PGMs using AMIDST.
IEEE International Conference on Data Mining Workshops, ICDMW
Vitenskapelig artikkel
-
Salmerón, Antonio;
Madsen, Anders L.;
Jensen, Frank;
Langseth, Helge;
Nielsen, Thomas D.;
Ramos-López, Dario.
(2016)
Parallel filter-based feature selection based on balanced incomplete block designs.
Frontiers in Artificial Intelligence and Applications
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Martinez, Ana M.;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Ramos-López, Dario.
(2016)
d-VMP: Distributed Variational Message Passing.
Journal of machine learning research
Vitenskapelig artikkel
-
Ramos-López, Dario;
Salmeron, Antonio;
Rumi, Rafael;
Martinez, Ana M.;
Nielsen, Thomas D.;
Masegosa, Andres R..
(2016)
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Journal of machine learning research
Vitenskapelig artikkel
-
Ramos-Lopez, Dario;
Salmeron, Antonio;
Rumi, Rafel;
Martinez, Ana M.;
Nielsen, Thomas D.;
Masegosa Arredondo, Andres Ramon.
(2016)
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Journal of machine learning research
Vitenskapelig artikkel
-
Madsen, Anders L.;
Jensen, Frank;
Salmeron, Antonio;
Langseth, Helge;
Nielsen, Thomas D..
(2015)
Parallelization of the PC Algorithm.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Salmeron, Antonio;
Ramoz-López, Darío;
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Fernandez, Antonio.
(2015)
Parallel importance sampling in conditional linear gaussian networks.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Høverstad, Boye Annfelt;
Tidemann, Axel;
Langseth, Helge;
Øzturk, Pinar.
(2015)
Short-Term Load Forecasting With Seasonal Decomposition Using Evolution for Parameter Tuning.
IEEE Transactions on Smart Grid
Vitenskapelig artikkel
-
Pérez-Bernabé, Inmaculada;
Salmeron, Antonio;
Langseth, Helge.
(2015)
Learning conditional distributions using mixtures of truncated basis functions.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Salmeron, Antonio;
Rumi, Rafael;
Langseth, Helge;
Madsen, Anders L.;
Nielsen, Thomas D..
(2015)
MPE inference in Conditional Linear Gaussian Networks.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2015)
Modeling concept drift: A probabilistic graphical model based approach
.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2015)
Dynamic Bayesian modeling for risk prediction in credit operations.
Frontiers in Artificial Intelligence and Applications
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2015)
Scalable learning of probabilistic latent models for collaborative filtering.
Decision Support Systems
Vitenskapelig artikkel
-
Zhong, Shengtong;
Langseth, Helge;
Nielsen, Thomas D..
(2014)
A classification-based approach to monitoring the safety of dynamic systems.
Reliability Engineering & System Safety
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Pérez-Bernabé, Inmaculada;
Salmeron, Antonio.
(2014)
Learning mixtures of truncated basis functions from data.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Nguyen, Hai Thanh;
Almenningen, Thomas;
Havig, Martin;
Schistad, Herman;
Kofod-Petersen, Anders;
Langseth, Helge.
(2014)
Learning to Rank for Personalized Fashion Recommender Systems via Implicit Feedback.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Nielsen, Thomas D.;
Hovda, Sigve;
Fernandez, Antonio;
Langseth, Helge;
Madsen, Anders L.;
Masegosa, Andres.
(2014)
Requirement Engineering for a Small Project with Pre-Specified Scope.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Vitenskapelig artikkel
-
Langseth, Helge;
Marquez, David;
Neil, Martin.
(2013)
Fast approximate inference in hybrid Bayesian networks using dynamic discretisation.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2012)
A latent model for collaborative filtering.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2012)
Mixtures of truncated basis functions.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Lillegraven, Terje N.;
Wolden, Arnt C.;
Kofod-Petersen, Anders;
Langseth, Helge.
(2011)
A design for a tourist CF system.
Frontiers in Artificial Intelligence and Applications
Sammendrag/abstract
-
Houeland, Tor Gunnar Høst;
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2011)
Combining CBR and BN using metareasoning.
Frontiers in Artificial Intelligence and Applications
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2010)
Parameter Estimation and Model Selection for Mixtures of Truncated Exponentials.
International Journal of Approximate Reasoning
Vitenskapelig artikkel
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2010)
Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support.
IFIP Advances in Information and Communication Technology
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2009)
Latent Classification Models for Binary Data.
Pattern Recognition
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Inference in Hybrid Bayesian Networks.
Reliability Engineering & System Safety
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Maximum Likelihood Learning of Conditional MTE Distributions.
Lecture Notes in Computer Science (LNCS)
Vitenskapelig artikkel
-
Langseth, Helge;
Portinale, Luigi.
(2007)
Bayesian Networks in Reliability.
Reliability Engineering & System Safety
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(2006)
Competing risks for repairable systems: A data study.
Journal of Statistical Planning and Inference
Vitenskapelig artikkel
-
Lindqvist, Bo;
Støve, Bård;
Langseth, Helge.
(2006)
Modelling of dependence between critical failure and preventive maintenance: The repair alert model.
Journal of Statistical Planning and Inference
Vitenskapelig artikkel
-
Lindqvist, Bo Henry;
Støve, Bård;
Langseth, Helge.
(2006)
Modelling of dependence between critical failure and preventive maintenance: The repair alert model.
Journal of Statistical Planning and Inference
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2006)
Classification using Hierarchical Naïve Bayes models.
Machine Learning
Vitenskapelig artikkel
-
Hokstad, Per;
Langseth, Helge;
Lindqvist, Bo Henry;
Vatn, Jørn.
(2005)
Failure modeling and maintenance optimization for a railway line.
International Journal of Performability Engineering
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2005)
Latent classification models.
Machine Learning
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2003)
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains.
Journal of machine learning research
Vitenskapelig artikkel
-
Langseth, Helge;
Jensen, Finn V..
(2003)
Decision Theoretic Troubleshooting of Coherent Systems.
Reliability Engineering & System Safety
Vitenskapelig artikkel
-
Jensen, Finn V.;
Kjærulff, Uffe;
Langseth, Helge;
Scaanning, Claus;
Vomlelova, Marta;
Vomlel, Jiri.
(2001)
The SACSO methodology for troubleshooting complex systems.
Artificial intelligence for engineering design, analysis and manufacturing
Vitenskapelig artikkel
-
Langseth, Helge;
Bangsø, Olav.
(2001)
Parameter Learning in Object Oriented Bayesian Networks.
Annals of Mathematics and Artificial Intelligence
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(1998)
Uncertainty bounds for a monotone multistate system.
Probability in the engineering and informational sciences (Print)
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(1998)
Uncertainty Bounds for a Monotone Multistate System.
Probability in the Engineering and Informational Science
Populærvitenskapelig artikkel
-
Langseth, Helge;
Haugen, Knut E. ;
Sandtorv, Helge A..
(1998)
Analysis of OREDA Data for Maintenance Optimisation.
Reliability Engineering & System Safety
Vitenskapelig artikkel
Bøker
-
Ruocco, Massimiliano;
Skrede, Ole Steinar Lillestøl;
Langseth, Helge.
(2017)
Inter-Session Modeling for Session-Based Recommendation.
Association for Computing Machinery (ACM)
Association for Computing Machinery (ACM)
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Heintz, Fredrik;
Langseth, Helge.
(2011)
Eleventh Scandinavian Conference on Artificial Intelligence -- SCAI 2011.
IOS Press
Frontiers in Artificial Intelligence and Applications (227)
Vitenskapelig antologi/Konferanseserie
-
Kofod-Pedersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag
Tapir Akademisk Forlag
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag
Tapir Akademisk Forlag
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the first Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag
Tapir Akademisk Forlag
Vitenskapelig antologi/Konferanseserie
-
Langseth, Helge;
Cojazzi, Giacomo G.M..
(2007)
Reliability of Safety-Critical Systems: Proceedings of the 30th ESReDA Seminar Hosted by SINTEF, Trondheim, Norway June 7-8, 2006.
Office for Official publications of the European communities
Vitenskapelig antologi/Konferanseserie
Del av bok/rapport
-
Vassøy, Bjørnar;
Langseth, Helge;
Kille, Benjamin Uwe.
(2023)
Providing Previously Unseen Users Fair Recommendations Using
Variational Autoencoders.
Association for Computing Machinery (ACM)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Gundersen, Odd Erik;
Shamsaliei, Saeid;
Kjærnli, Håkon Slåtten;
Langseth, Helge.
(2023)
On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness.
Association for Computing Machinery (ACM)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Baumgartner, David;
Langseth, Helge;
Ramampiaro, Heri;
Engø-Monsen, Kenth.
(2023)
mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Andersen, Martin Lieberkind;
Sævik, Svein;
Leira, Bernt Johan;
Wu, Jie;
Langseth, Helge;
Passano, Elizabeth Anne.
(2022)
Estimation of VIV-parameters based on Response Measurements and Bayesian Machine Learning Algorithms.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Høiem, Kristian Wang;
Santi, Vemund Mehl;
Torsæter, Bendik Nybakk;
Langseth, Helge;
Andresen, Christian Andre;
Rosenlund, Gjert Hovland.
(2020)
Comparative Study of Event Prediction in Power Grids using Supervised Machine Learning Methods.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Ramampiaro, Heri;
Langseth, Helge;
Almenningen, Thomas;
Schistad, Herman;
Havig, Martin Christian;
Nguyen, Hai Thanh.
(2019)
New Ideas in Ranking for Personalized Fashion Recommender Systems.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Association for Computing Machinery (ACM)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Myklatun, Øyvind Herstad;
Thorrud, Thorstein Kaldahl;
Nguyen, Hai Thanh;
Langseth, Helge;
Kofod-Petersen, Anders.
(2015)
Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data.
ACM Publications
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Madsen, Anders L.;
Jensen, Frank;
Salmeron, Antonio;
Karlsen, Martin;
Langseth, Helge;
Nielsen, Thomas D..
(2014)
A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge.
(2013)
Beating the bookie: A look at statistical models for prediction of football matches.
IOS Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Tidemann, Axel;
Høverstad, Boye Annfelt;
Langseth, Helge;
Øzturk, Pinar.
(2013)
Effects of scale on load prediction algorithms.
CIRED - Congrès International des Réseaux Electriques de Distribution
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Høverstad, Boye Annfelt;
Tidemann, Axel;
Langseth, Helge.
(2013)
Effects of data cleansing on load prediction algorithms.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2012)
Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2012)
Learning Mixtures of Truncated Basis Functions from Data.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2011)
A hybrid CBR and BN architecture refined through data analysis.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Heintz, Fredrik;
Langseth, Helge.
(2011)
Foreword.
IOS Press
Forord
-
Kofod-Petersen, Anders;
Langseth, Helge.
(2010)
Tourist Without a Cause.
Tapir Akademisk Forlag
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2010)
Architectures integrating case-based reasoning and Bayesian networks for clinical decision support.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge;
Aamodt, Agnar.
(2010)
Explanations in Bayesian networks using provenance through case-based reasoning.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Fernandez, Antonio;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2010)
Parameter learning in MTE networks using incomplete data.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zhong, Shengtong;
Martinez, Ana M.;
Nielsen, Thomas D.;
Langseth, Helge.
(2010)
Towards a More Expressive Model for Dynamic Classification.
AAAI Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zhong, Shengtong;
Langseth, Helge.
(2009)
Local-Global-Learning of Naive Bayesian Classifier.
IEEE (Institute of Electrical and Electronics Engineers)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge.
(2009)
Bayesian Networks for Collaborative Filtering.
Tapir Akademisk Forlag
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Preface.
Tapir Akademisk Forlag
Forord
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Maximum Likelihood Learning of Conditional MTE Distributions.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Jensen, Finn V..
(2008)
Bayesian Networks and Decision Graphs in Reliability.
John Wiley & Sons
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge.
(2008)
Bayesian networks in Reliability: The Good, The Bad, and The Ugly.
IOS Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Portinale, Luigi.
(2007)
Applications of Bayesian Networks in Reliability Analysis.
Idea Group Publishing
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Vatn, Jørn;
Langseth, Helge.
(2006)
Estimation of Weibull parameters when the i.i.d. assumption does not hold.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lindqvist, Bo Henry;
Langseth, Helge.
(2005)
Statistical modelling and inference for component failure times under preventive maintenance and independent censoring.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Bjørkvoll, Thor;
Langseth, Helge.
(2004)
The Prioritization of Risk Reducing Measures in View of Uncertain Cost/Benefits.
Springer
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(2003)
A maintenance model for components exposed to several failure mechanisms and imperfect repair.
World Scientific
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Aamodt, Agnar;
Winnem, Ole Martin.
(1999)
Learning retrieval knowledge from data.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Aamodt, Agnar;
Langseth, Helge.
(1998)
Integrating Bayesian networks into knowledge-intensive CBR.
AAAI Press
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Rapport
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Langseth, Helge;
Ramampiaro, Heri;
Bach, Kerstin.
(2024)
Improving Labour Inspection Efficiency via Machine Learning.
NTNU
Doktorgradsavhandling
-
Hanssen, Jørgen;
Langseth, Helge.
(2023)
Expanding Our Knowledge of Maritime Trade with AIS and Explainable AI Systems.
NTNU
Mastergradsoppgave
-
Myhre, Henrik;
Matsen, Erik;
Langseth, Helge.
(2023)
Making Sense of Tabular Neural Networks: Interpretability using Concept Detection.
NTNU
Mastergradsoppgave
-
Langseth, Helge;
Høijord, Espen Hansen.
(2022)
Explainable AI (XAI) for grid loss forecasting.
Fakultet for informasjonsteknologi og elektroteknikk
Mastergradsoppgave
-
de Souza da Silva, Eliezer;
Langseth, Helge;
Ramampiaro, Heri.
(2021)
Factorization models with relational and contextual
information:
Probabilistic factorization, Point processes
and neural sequential models.
Doctoral theses at NTNU (1)
Doktorgradsavhandling
-
Bekkemoen, Yanzhe;
Langseth, Helge.
(2021)
Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities.
Norwegian University of Science and Technology
Mastergradsoppgave
-
Kvamme, Johannes;
Larsen, Pål-Edward;
Langseth, Helge.
(2021)
Achieving Trustable Explanations Through Multi-Task Learning Neural Networks.
Norwegian University of Science and Technology
Mastergradsoppgave
-
Mathisen, Bjørn Magnus;
Aamodt, Agnar;
Bach, Kerstin;
Langseth, Helge.
(2021)
Using similarity learning to enable decision support in aquaculture.
Doctoral theses at NTNU (331)
Doktorgradsavhandling
-
Langseth, Helge;
Nielsen, Thomas D..
(2009)
A latent model for collaborative filtering.
Aalborg Universitetsforlag
Aalborg Universitetsforlag
Rapport
-
Langseth, Helge.
(2002)
Bayesian Networks with Applications in Reliability Analysis.
Tapir Akademisk Forlag
Doktor ingeniøravhandling : Dr.Ing.avhandling (2002:121)
Doktorgradsavhandling
Undervisning
Emner
Formidling
2024
-
Vitenskapelig foredragDanelakis, Antonios; Stubberud, Anker; Winsvold, Bendik Kristoffer Slagsvold; bjørk, marte helene; Giles, Dominic; Nachev, Parashkev. (2024) Machine learning versus polygenic risk scoring as migraine predictors based on genome-wide genotype data. The Migraine Trust Migraine Trust International Symposium (MTIS) 2024 , London 2024-08-05 - 2024-08-08
2023
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PosterVassøy, Bjørnar; Langseth, Helge; Kille, Benjamin Uwe. (2023) Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders. ACM ACM RecSys 2023 , Singapore 2023-09-18 - 2023-09-22
-
Vitenskapelig foredragBekkemoen, Yanzhe; Langseth, Helge. (2023) ASAP: Attention-Based State Space Abstraction for Policy Summarization. Asian Conference on Machine Learning The 15th Asian Conference on Machine Learning , Istanbul, Turkey 2023-11-11 - 2023-11-14
2022
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IntervjuLangseth, Helge. (2022) Skal vi godta at våpen sjølv bestemmer når dei skal drepe?. NRK P2, Kompass NRK P2, Kompass [Radio] 2022-01-03
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Vitenskapelig foredragSalmeron, Antonio; Langseth, Helge; Masegosa, Andres; Nielsen, Thomas D.. (2022) A Reparameterization of Mixtures of Truncated Basis Functions and its Applications. International Conference on Probabilistic Graphical Models , Almeria, Spaia 2022-10-05 - 2022-10-07
2021
-
IntervjuLangseth, Helge. (2021) Spotifys makt over dine lyttervaner. Under dusken Under dusken [Internett] 2021-04-21
2020
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IntervjuHolter, Trym; Langseth, Helge. (2020) Ønsker å gjøre kunstig intelligens mer forståelig. [Internett] 2020-09-26
-
IntervjuLangseth, Helge. (2020) Nå blir terskelen enda lavere for nordmenn som vil lære om kunstig intelligens. DigitalNorway DigitalNorway [Internett] 2020-04-29
2019
-
IntervjuLangseth, Helge. (2019) Opprop mot dødelige autonome våpen. Universitetsavisa Universitetsavisa [Internett] 2019-05-14
2018
-
Vitenskapelig foredragZeng, Ming; Gao, Haoxiang; Yu, Tong; Mengshoel, Ole Jakob; Langseth, Helge; Lane, Ian. (2018) Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. ACM 2018 ACM International Symposium on Wearable Computers , Singapore 2018-10-08 - 2018-10-12
2017
-
Vitenskapelig foredragMathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge. (2017) Data driven case base construction for prediction of success of marine operations. NTNU ICCBR-17 Workshop on Workshop on Case-based Reasoning and Deep Learning - CBRDL 2017 , Trondheim 2017-06-26 - 2017-06-26
2015
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IntervjuLangseth, Helge; Bjørkeng, Per Kristian. (2015) Dyp læring: Slik har maskinene begynt å lære som oss. Aftenposten Aftenposten [Avis] 2015-12-09
-
Populærvitenskapelig foredragLangseth, Helge. (2015) Research Frontiers in Recommender Systems. Telenor AI and BigData in a Digital World , Fornebu 2015-05-27 - 2015-05-27
-
Populærvitenskapelig foredragLangseth, Helge. (2015) Big Data: En kunst å hente kunnskap ut av store tall?. SINTEF TEKMAR , Trondheim 2015-12-01 - 2015-12-02
-
Vitenskapelig foredragMasegosa, Andres; Martinez, Ana M.; Borchani, Hanen; Ramos-Lopez, Dario; Nielsen, Thomas D.; Langseth, Helge. (2015) AMIDST: Analysis of MassIve Data STreams. Benelux Conference on Artificial Intelligence 27th Benelux Conference on Artificial Intelligence , Hasselt, Belgium 2015-11-05 - 2015-11-06
2013
-
Vitenskapelig foredragLangseth, Helge. (2013) Beating the bookie: A look at statistical models for prediction of football matches. The 12th Scandinavian AI conference 2013-11-20 - 2013-11-22
-
Vitenskapelig foredragLangseth, Helge; Marquez, David; Neil, Martin. (2013) Fast approximate inference in hybrid Bayesian networks using dynamic discretisation. 5th. INTERNATIONAL WORK-CONFERENCE on the INTERPLAY between NATURAL and ARTIFICIAL COMPUTATION , Palmanova, Mallorca 2013-06-11 - 2013-06-13
2012
-
Vitenskapelig foredragLangseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2012) Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions. The Sixth European Workshop on Probabilistic Graphical Models , Granada 2012-09-19 - 2012-09-21
-
Vitenskapelig foredragLangseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio. (2012) Learning Mixtures of Truncated Basis Functions from Data. The Sixth European Workshop on Probabilistic Graphical Models , Granada 2012-09-19 - 2012-09-21
2011
-
Vitenskapelig foredragHoueland, Tor Gunnar Høst; Bruland, Tore; Aamodt, Agnar; Langseth, Helge. (2011) Combining CBR and BN using metareasoning. Eleventh Scandinavian Conference on Artificial Intelligence , Trondheim 2011-05-24 - 2011-05-26
-
Vitenskapelig foredragLillegraven, Terje N.; Wolden, Arnt C.; Kofod-Petersen, Anders; Langseth, Helge. (2011) A design for a tourist CF system. Eleventh Scandinavian Conference on Artificial Intelligence , Trondheim 2011-05-24 - 2011-05-26
2010
-
Vitenskapelig foredragKofod-Petersen, Anders; Langseth, Helge. (2010) Tourist without a cause. NAIS Second Norwegian Artificial Intelligence Symposium , Gjøvik 2010-11-22 - 2010-11-22
-
Vitenskapelig foredragFernandez, Antonio; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio. (2010) Parameter learning in MTE networks using incomplete data. The Fifth European Workshop on Probabilistic Graphical Models , Helsinki 2010-09-13 - 2010-09-15
-
Vitenskapelig foredragKofod-Petersen, Anders; Langseth, Helge; Aamodt, Agnar. (2010) Explanations in Bayesian Networks using Provenance through Case-based Reasoning. ICCBR 2010 workshop on provenance-aware case-based reasoning (PA-CBR 2010) 2010-07-20 - 2010-07-20
-
Vitenskapelig foredragBruland, Tore; Aamodt, Agnar; Langseth, Helge. (2010) Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support. The International Federation for Information Processing Intelligent Information Processing (IIP) 2010 , Manchester 2010-10-13 - 2010-10-16
2009
-
Vitenskapelig foredragLangseth, Helge. (2009) Bayesian Networks for Collaborative Filtering. Norsk Forening For Kunstig Intelligens First Norwegian Artificial Intelligence Symposium , Trondheim 2009-11-23 - 2009-11-23
-
Vitenskapelig foredragLangseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2009) Maximum Likelihood Learning of Conditional MTE Distributions. ECSQARU 2009 , Verona 2009-07-01 - 2009-07-03
2008
-
Vitenskapelig foredragLangseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2008) Parameter Estimation in Mixtures of Truncated Exponentials. Aalborg Universitet The Fourth European Workshop on Probabilistic Graphical Models , Hirtshals 2008-09-17 - 2008-09-19
2007
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Vitenskapelig foredragLangseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio; Rumi, Rafael. (2007) Maximum Likelihood vs. Least Squares for Estimating Mixtures of Truncated Exponentials. INFORMS '07 2007-11-04 - 2007-11-07
-
Vitenskapelig foredragLangseth, Helge. (2007) Bayesian Networks in Reliability. Strathclyde University Mathematical Methods in Reliability: Methodology and Practice , Glasgow 2007-07-01 - 2007-07-04
2004
-
Vitenskapelig foredragLangseth, Helge. (2004) Bayesian Networks in Reliability: Some recent developments. MMR The fourth International Conference on Mathematical Models in Reliability, MMR'04 , Santa Fe, NM 2004-06-21 - 2004-06-25
2003
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Vitenskapelig foredragLangseth, Helge; Lindqvist, Bo Henry. (2003) Competing risk combined with imperfect repair: Some of the dirty details. Workshop on Analysis of Competing Risks - Statistical and Probabilistic Approach. , Delft, Holland 2003-06-20 -
2002
-
Vitenskapelig foredragLangseth, Helge; Lindqvist, Bo Henry. (2002) Modelling imperfect maintenance and repair of components under competing risk. Third International Conference on Mathematical Methods in Reliability , Trondheim 2002-06-20 -
2001
-
Vitenskapelig foredragLangseth, Helge; Jensen, Finn V.. (2001) Heuristics for two extensions of basic troubleshooting. SCAI Seventh scandinavian conference on Artificial Intelligence, SCAI'01 , Odense 2001-02-21 - 2002-02-22
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Vitenskapelig foredragBangsø, Olav; Langseth, Helge; Nielsen, Thomas D.. (2001) Structural Learning in Object Oriented Domains. Fourteenth International Florida Artificial Intelligence Research Society Conference , Key West, FL 2001-05-23 -
1999
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Vitenskapelig foredragLangseth, Helge; Aamodt, Agnar; Winnem, Ole Martin. (1999) Learning retrieval knowledge form data. IJCAI Sixteenth International Joint Conference on Artificial Intelligence , Stockholm 1999-07-31 - 1999-08-06
-
Vitenskapelig foredragLangseth, Helge. (1999) Modelling Maintenance for Components under Competing Risk. Tenth European Conference on Safety and Reliability -- ESREL'99 , Munchen 1999-09-17 -
1998
-
Vitenskapelig foredragLangseth, Helge. (1998) Analysis of survival times using Bayesian Networks. The ninth European Conference on Safety and Reliability - ESREL'98 , Trondheim 1998-06-10 -
-
Vitenskapelig foredragLangseth, Helge. (1998) Analysis of survival times using Bayesian networks. ESREL'98 , Trondheim 1998-06-09 -
-
Vitenskapelig foredragLangseth, Helge; Aamodt, Agnar. (1998) Integrating Bayesian networks into knowledge intensive CBR. AAAI Amerikanske AI-konferansen, AAAI-98 , Madison, wis. USA 1998-08-27 -