Helge Langseth
Om
Kunstig IntelligensForskningsområde
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
2022
-
Andersen, Martin Lieberkind;
Sævik, Svein;
Leira, Bernt Johan;
Wu, Jie;
Langseth, Helge;
Passano, Elizabeth Anne;
Lie, Halvor;
Yin, Decao.
(2022)
Estimation of VIV-parameters based on Response Measurements and Bayesian Machine Learning Algorithms.
Proceedings of the 9th International Conference on HYDROELASTICITY IN MARINE TECHNOLOGY.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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).
volum 3.
Vitenskapelig artikkel
2021
-
Masegosa, Andres;
Cabañas, Rafael;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2021)
Probabilistic Models with Deep Neural Networks.
Entropy.
volum 23 (1).
Vitenskapelig artikkel
-
Tiwari, Shweta;
Ramampiaro, Heri;
Langseth, Helge.
(2021)
Machine Learning in Financial Market Surveillance: A Survey.
IEEE Access.
volum 9.
Vitenskapelig oversiktsartikkel/review
2020
-
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.
2020 International Conference on Smart Energy Systems and Technologies - SEST.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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.
volum 24 (3).
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.
volum 8 (11).
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).
volum 124.
Vitenskapelig artikkel
2019
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Cabañas, Rafael;
Salmeron, Antonio;
Langseth, Helge;
Nielsen, Thomas D..
(2019)
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowledge-Based Systems.
volum 163.
Vitenskapelig artikkel
-
Mathisen, Bjørn Magnus;
Aamodt, Agnar;
Langseth, Helge;
Bach, Kerstin.
(2019)
Learning similarity measures from data.
Progress in 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.
Business and Consumer Analytics: New Ideas.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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.
volum 33 (1).
Vitenskapelig artikkel
-
Swider, Anna;
Langseth, Helge;
Pedersen, Eilif.
(2019)
Application of data-driven models in the analysis of marine power systems.
Applied Ocean Research.
volum 92.
Vitenskapelig artikkel
2018
-
Agarwal, Basant;
Ramampiaro, Heri;
Langseth, Helge;
Ruocco, Massimiliano.
(2018)
A deep network model for paraphrase detection in short text messages.
Information Processing & Management.
volum 54.
Vitenskapelig artikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Cabañas, Rafael;
Salmerón, Antonio;
Langseth, Helge;
Nielsen, Thomas D.;
Madsen, Anders L..
(2018)
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowledge-Based Systems.
volum 163.
Vitenskapelig artikkel
-
Pitsilis, Georgios;
Ramampiaro, Heri;
Langseth, Helge.
(2018)
Effective hate-speech detection in Twitter data using recurrent neural networks.
Applied intelligence (Boston).
volum 48 (12).
Vitenskapelig artikkel
-
Ramos-López, Dario;
Masegosa, Andres R.;
Salmerón, Antonio;
Rumi, Rafael;
Langseth, Helge;
Nielsen, Thomas D.;
Madsen, Anders L..
(2018)
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.
International Journal of Approximate Reasoning.
volum 100.
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.
volum 62.
Vitenskapelig oversiktsartikkel/review
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian;
Liu, Xiaobing.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Proceedings of the 2018 ACM International Symposium on Wearable Computers.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2017
-
Cabañas, Rafael;
Martínez, Ana M.;
Masegosa, Andres R.;
Ramos-López, Darío;
Salmerón, Antonio;
Nielsen, Thomas D.;
Langseth, Helge;
Madsen, Anders L..
(2017)
Financial data analysis with PGMs using AMIDST.
IEEE International Conference on Data Mining Workshops, ICDMW.
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).
volum 10534 LNAI.
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.
volum 117.
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Martinez, Ana M.;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Ramos-López, Dario;
Madsen, Anders L..
(2017)
Scaling up Bayesian variational inference using distributed computing clusters.
International Journal of Approximate Reasoning.
volum 88.
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.
volum 70.
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.
volum 2028.
Vitenskapelig artikkel
-
Ramos-López, Dario;
Masegosa, Andres R.;
Martinez, Ana M.;
Salmeron, Antonio;
Nielsen, Thomas D.;
Langseth, Helge;
Madsen, Anders L..
(2017)
MAP inference in dynamic hybrid Bayesian networks.
Progress in Artificial Intelligence.
volum 6 (2).
Vitenskapelig artikkel
-
Ruocco, Massimiliano;
Skrede, Ole Steinar Lillestøl;
Langseth, Helge.
(2017)
Inter-Session Modeling for Session-Based Recommendation.
Association for Computing Machinery (ACM). 2017. ISBN 978-1-4503-5353-3.
Vitenskapelig antologi/Konferanseserie
2016
-
Masegosa, Andres R.;
Martinez, Ana M.;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Ramos-López, Dario;
Madsen, Anders L..
(2016)
d-VMP: Distributed Variational Message Passing.
Journal of machine learning research.
volum 52.
Vitenskapelig artikkel
-
Ramos-López, Dario;
Salmeron, Antonio;
Rumi, Rafael;
Martinez, Ana M.;
Nielsen, Thomas D.;
Masegosa, Andres R.;
Langseth, Helge;
Madsen, Anders L..
(2016)
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Journal of machine learning research.
volum 52.
Vitenskapelig artikkel
-
Ramos-Lopez, Dario;
Salmeron, Antonio;
Rumi, Rafel;
Martinez, Ana M.;
Nielsen, Thomas D.;
Masegosa Arredondo, Andres Ramon;
Langseth, Helge;
Madsen, Anders L..
(2016)
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Journal of machine learning research.
volum 52 (2016).
Vitenskapelig artikkel
-
Salmerón, Antonio;
Madsen, Anders L.;
Jensen, Frank;
Langseth, Helge;
Nielsen, Thomas D.;
Ramos-López, Dario;
Martínez, Ana M.;
Masegosa, Andres R..
(2016)
Parallel filter-based feature selection based on balanced incomplete block designs.
Frontiers in Artificial Intelligence and Applications.
volum 285.
Vitenskapelig artikkel
2015
-
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Fernández, Antonio;
Madsen, Anders L.;
Sáez, Ramón.
(2015)
Dynamic Bayesian modeling for risk prediction in credit operations.
Frontiers in Artificial Intelligence and Applications.
volum 278.
Vitenskapelig artikkel
-
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Fernandez, Antonio;
Madsen, Anders L.;
Sáez, Ramón.
(2015)
Modeling concept drift: A probabilistic graphical model based approach.
Lecture Notes in Computer Science (LNCS).
volum 9385.
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.
volum 6 (4).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2015)
Scalable learning of probabilistic latent models for collaborative filtering.
Decision Support Systems.
volum 74.
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).
volum 9422.
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.
RecSys '15 Challenge: Proceedings of the 2015 International ACM Recommender Systems Challenge.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Pérez-Bernabé, Inmaculada;
Salmeron, Antonio;
Langseth, Helge.
(2015)
Learning conditional distributions using mixtures of truncated basis functions.
Lecture Notes in Computer Science (LNCS).
volum 9161.
Vitenskapelig artikkel
-
Salmeron, Antonio;
Ramoz-López, Darío;
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Fernandez, Antonio;
Langseth, Helge;
Madsen, Anders L.;
Nielsen, Thomas D..
(2015)
Parallel importance sampling in conditional linear gaussian networks.
Lecture Notes in Computer Science (LNCS).
volum 9422.
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).
volum 9161.
Vitenskapelig artikkel
2014
-
Langseth, Helge;
Nielsen, Thomas D.;
Pérez-Bernabé, Inmaculada;
Salmeron, Antonio.
(2014)
Learning mixtures of truncated basis functions from data.
International Journal of Approximate Reasoning.
volum 55 (4).
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.
Probabilistic Graphical Models.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Nguyen, Hai Thanh;
Almenningen, Thomas;
Havig, Martin;
Schistad, Herman;
Kofod-Petersen, Anders;
Langseth, Helge;
Ramampiaro, Heri.
(2014)
Learning to Rank for Personalized Fashion Recommender Systems via Implicit Feedback.
Lecture Notes in Computer Science (LNCS).
volum 8891.
Vitenskapelig artikkel
-
Nielsen, Thomas D.;
Hovda, Sigve;
Fernandez, Antonio;
Langseth, Helge;
Madsen, Anders L.;
Masegosa, Andres;
Salmeron, Antonio.
(2014)
Requirement Engineering for a Small Project with Pre-Specified Scope.
NIKT: Norsk IKT-konferanse for forskning og utdanning.
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.
volum 121.
Vitenskapelig artikkel
2013
-
Høverstad, Boye Annfelt;
Tidemann, Axel;
Langseth, Helge.
(2013)
Effects of data cleansing on load prediction algorithms.
2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG).
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge.
(2013)
Beating the bookie: A look at statistical models for prediction of football matches.
Twelfth Scandinavian Conference on Artificial Intelligence.
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).
volum 7930.
Vitenskapelig artikkel
-
Tidemann, Axel;
Høverstad, Boye Annfelt;
Langseth, Helge;
Øzturk, Pinar.
(2013)
Effects of scale on load prediction algorithms.
CIRED 2013 Electricity Distribution Systems for a Sustainable Future.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2012
-
Langseth, Helge;
Nielsen, Thomas D..
(2012)
A latent model for collaborative filtering.
International Journal of Approximate Reasoning.
volum 53 (4).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2012)
Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions.
Proceedings of the Sixth European Workshop onProbabilistic Graphical Models.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2012)
Mixtures of truncated basis functions.
International Journal of Approximate Reasoning.
volum 53 (2).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2012)
Learning Mixtures of Truncated Basis Functions from Data.
Proceedings of the Sixth European Workshop onProbabilistic Graphical Models.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2011
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2011)
A hybrid CBR and BN architecture refined through data analysis.
ISDA 2011, Proceedings of the 11th International Conference on Intelligent Systems Design and Applications; 22 – 24 November 2011, Córdoba, Spain.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Houeland, Tor Gunnar Høst;
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2011)
Combining CBR and BN using metareasoning.
Frontiers in Artificial Intelligence and Applications.
volum 227.
Vitenskapelig artikkel
-
Kofod-Petersen, Anders;
Heintz, Fredrik;
Langseth, Helge.
(2011)
Eleventh Scandinavian Conference on Artificial Intelligence -- SCAI 2011.
IOS Press. 2011. ISBN 978-1-60750-753-6. Frontiers in Artificial Intelligence and Applications (227).
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Heintz, Fredrik;
Langseth, Helge.
(2011)
Foreword.
Eleventh Scandinavian Conference on Artificial Intelligence -- SCAI 2011.
Forord
-
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.
volum 227.
Sammendrag/abstract
2010
-
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.
volum 340.
Vitenskapelig artikkel
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2010)
Architectures integrating case-based reasoning and Bayesian networks for clinical decision support.
Intelligent Information Processing V.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Fernandez, Antonio;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2010)
Parameter learning in MTE networks using incomplete data.
Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010).
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge.
(2010)
Tourist Without a Cause.
Proceedings of the second Norwegian Artificial Intelligence Symposium : November 22, 2010 Høgskolen i Gjøvik.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge;
Aamodt, Agnar.
(2010)
Explanations in Bayesian networks using provenance through case-based reasoning.
ICCBR 2010 Workshop Proceedings.
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.
volum 51 (5).
Vitenskapelig artikkel
-
Zhong, Shengtong;
Martinez, Ana M.;
Nielsen, Thomas D.;
Langseth, Helge.
(2010)
Towards a More Expressive Model for Dynamic Classification.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2009
-
Kofod-Pedersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag. 2009. ISBN 978-82-519-2519-8.
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Preface.
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Forord
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag. 2009. ISBN 978-82-519-2519-8.
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the first Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag. 2009. ISBN 978-82-519-2519-8.
Vitenskapelig antologi/Konferanseserie
-
Langseth, Helge.
(2009)
Bayesian Networks for Collaborative Filtering.
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2009)
A latent model for collaborative filtering.
2009.
Rapport
-
Langseth, Helge;
Nielsen, Thomas D..
(2009)
Latent Classification Models for Binary Data.
Pattern Recognition.
volum 42 (11).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Inference in Hybrid Bayesian Networks.
Reliability Engineering & System Safety.
volum 94 (10).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Maximum Likelihood Learning of Conditional MTE Distributions.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Maximum Likelihood Learning of Conditional MTE Distributions.
Lecture Notes in Computer Science (LNCS).
volum 5590.
Vitenskapelig artikkel
-
Zhong, Shengtong;
Langseth, Helge.
(2009)
Local-Global-Learning of Naive Bayesian Classifier.
Fourth International Conference on Innovative Computing, Information and Control.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2008
-
Langseth, Helge.
(2008)
Bayesian networks in Reliability: The Good, The Bad, and The Ugly.
Advances in Mathematical Modeling for Reliability.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Jensen, Finn V..
(2008)
Bayesian Networks and Decision Graphs in Reliability.
Encyclopedia of Statistics in Quality and Reliability.
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.
2007. ISBN 9789279065743.
Vitenskapelig antologi/Konferanseserie
-
Langseth, Helge;
Portinale, Luigi.
(2007)
Applications of Bayesian Networks in Reliability Analysis.
Bayesian Network Technologies: Applications and Graphical Models.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Portinale, Luigi.
(2007)
Bayesian Networks in Reliability.
Reliability Engineering & System Safety.
volum 92 (1).
Vitenskapelig artikkel
2006
-
Langseth, Helge;
Lindqvist, Bo Henry.
(2006)
Competing risks for repairable systems: A data study.
Journal of Statistical Planning and Inference.
volum 136 (5).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2006)
Classification using Hierarchical Naïve Bayes models.
Machine Learning.
volum 63 (2).
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.
volum 136 (5).
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.
volum 136 (5).
Vitenskapelig artikkel
-
Vatn, Jørn;
Langseth, Helge.
(2006)
Estimation of Weibull parameters when the i.i.d. assumption does not hold.
Ageing of Components and Systems.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2005
-
Hokstad, Per;
Langseth, Helge;
Lindqvist, Bo Henry;
Vatn, Jørn.
(2005)
Failure modeling and maintenance optimization for a railway line.
International Journal of Performability Engineering.
volum 1 (1).
Vitenskapelig artikkel
-
Lindqvist, Bo Henry;
Langseth, Helge.
(2005)
Statistical modelling and inference for component failure times under preventive maintenance and independent censoring.
Modern Statistical and Mathematical Methods in Reliability.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2005)
Latent classification models.
Machine Learning.
volum 59.
Vitenskapelig artikkel
2004
-
Bjørkvoll, Thor;
Langseth, Helge.
(2004)
The Prioritization of Risk Reducing Measures in View of Uncertain Cost/Benefits.
Probabilistic Safety Assessment and ManagementPSAM 7 - ESREL '04June 14-18, 2004, Berlin, Germany.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2003
-
Langseth, Helge;
Jensen, Finn V..
(2003)
Decision Theoretic Troubleshooting of Coherent Systems.
Reliability Engineering & System Safety.
volum 80 (1).
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(2003)
A maintenance model for components exposed to several failure mechanisms and imperfect repair.
Mathematical and Statistical Methods in Reliability.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2003)
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains.
Journal of machine learning research.
volum 4.
Vitenskapelig artikkel
2002
-
Langseth, Helge.
(2002)
Bayesian Networks with Applications in Reliability Analysis.
Tapir Akademisk Forlag. 2002. ISBN 82-471-5513-3. 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.
volum 15 (5).
Vitenskapelig artikkel
-
Langseth, Helge;
Bangsø, Olav.
(2001)
Parameter Learning in Object Oriented Bayesian Networks.
Annals of Mathematics and Artificial Intelligence.
volum 32 (1/4).
Vitenskapelig artikkel
1999
-
Langseth, Helge;
Aamodt, Agnar;
Winnem, Ole Martin.
(1999)
Learning retrieval knowledge from data.
16th International Conference on Artificial Intelligence (IJCAI 1999), Workshop ML5: Automating the Construction of Case-Based Reasoners, Proceedings.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
1998
-
Langseth, Helge;
Haugen, Knut E.;
Sandtorv, Helge A..
(1998)
Analysis of OREDA Data for Maintenance Optimisation.
Reliability Engineering & System Safety.
volum 60 (2).
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(1998)
Uncertainty Bounds for a Monotone Multistate System.
Probability in the Engineering and Informational Science.
volum 12.
Populærvitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(1998)
Uncertainty bounds for a monotone multistate system.
Probability in the engineering and informational sciences (Print).
volum 12.
Vitenskapelig artikkel
-
Aamodt, Agnar;
Langseth, Helge.
(1998)
Integrating Bayesian networks into knowledge-intensive CBR.
American Association for Artificial Intelligence (AAAI 1998), Case-Based Reasoning Integrations, Papers from the workshop.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Tidsskriftspublikasjoner
-
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).
volum 3.
Vitenskapelig artikkel
-
Masegosa, Andres;
Cabañas, Rafael;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2021)
Probabilistic Models with Deep Neural Networks.
Entropy.
volum 23 (1).
Vitenskapelig artikkel
-
Tiwari, Shweta;
Ramampiaro, Heri;
Langseth, Helge.
(2021)
Machine Learning in Financial Market Surveillance: A Survey.
IEEE Access.
volum 9.
Vitenskapelig oversiktsartikkel/review
-
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.
volum 24 (3).
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.
volum 8 (11).
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).
volum 124.
Vitenskapelig artikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Cabañas, Rafael;
Salmeron, Antonio;
Langseth, Helge;
Nielsen, Thomas D..
(2019)
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowledge-Based Systems.
volum 163.
Vitenskapelig artikkel
-
Mathisen, Bjørn Magnus;
Aamodt, Agnar;
Langseth, Helge;
Bach, Kerstin.
(2019)
Learning similarity measures from data.
Progress in Artificial Intelligence.
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.
volum 33 (1).
Vitenskapelig artikkel
-
Swider, Anna;
Langseth, Helge;
Pedersen, Eilif.
(2019)
Application of data-driven models in the analysis of marine power systems.
Applied Ocean Research.
volum 92.
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.
volum 54.
Vitenskapelig artikkel
-
Masegosa, Andres;
Martinez, Ana M.;
Ramos-López, Dario;
Cabañas, Rafael;
Salmerón, Antonio;
Langseth, Helge;
Nielsen, Thomas D.;
Madsen, Anders L..
(2018)
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowledge-Based Systems.
volum 163.
Vitenskapelig artikkel
-
Pitsilis, Georgios;
Ramampiaro, Heri;
Langseth, Helge.
(2018)
Effective hate-speech detection in Twitter data using recurrent neural networks.
Applied intelligence (Boston).
volum 48 (12).
Vitenskapelig artikkel
-
Ramos-López, Dario;
Masegosa, Andres R.;
Salmerón, Antonio;
Rumi, Rafael;
Langseth, Helge;
Nielsen, Thomas D.;
Madsen, Anders L..
(2018)
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.
International Journal of Approximate Reasoning.
volum 100.
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.
volum 62.
Vitenskapelig oversiktsartikkel/review
-
Cabañas, Rafael;
Martínez, Ana M.;
Masegosa, Andres R.;
Ramos-López, Darío;
Salmerón, Antonio;
Nielsen, Thomas D.;
Langseth, Helge;
Madsen, Anders L..
(2017)
Financial data analysis with PGMs using AMIDST.
IEEE International Conference on Data Mining Workshops, ICDMW.
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).
volum 10534 LNAI.
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.
volum 117.
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Martinez, Ana M.;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Ramos-López, Dario;
Madsen, Anders L..
(2017)
Scaling up Bayesian variational inference using distributed computing clusters.
International Journal of Approximate Reasoning.
volum 88.
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.
volum 70.
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.
volum 2028.
Vitenskapelig artikkel
-
Ramos-López, Dario;
Masegosa, Andres R.;
Martinez, Ana M.;
Salmeron, Antonio;
Nielsen, Thomas D.;
Langseth, Helge;
Madsen, Anders L..
(2017)
MAP inference in dynamic hybrid Bayesian networks.
Progress in Artificial Intelligence.
volum 6 (2).
Vitenskapelig artikkel
-
Masegosa, Andres R.;
Martinez, Ana M.;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Ramos-López, Dario;
Madsen, Anders L..
(2016)
d-VMP: Distributed Variational Message Passing.
Journal of machine learning research.
volum 52.
Vitenskapelig artikkel
-
Ramos-López, Dario;
Salmeron, Antonio;
Rumi, Rafael;
Martinez, Ana M.;
Nielsen, Thomas D.;
Masegosa, Andres R.;
Langseth, Helge;
Madsen, Anders L..
(2016)
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Journal of machine learning research.
volum 52.
Vitenskapelig artikkel
-
Ramos-Lopez, Dario;
Salmeron, Antonio;
Rumi, Rafel;
Martinez, Ana M.;
Nielsen, Thomas D.;
Masegosa Arredondo, Andres Ramon;
Langseth, Helge;
Madsen, Anders L..
(2016)
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Journal of machine learning research.
volum 52 (2016).
Vitenskapelig artikkel
-
Salmerón, Antonio;
Madsen, Anders L.;
Jensen, Frank;
Langseth, Helge;
Nielsen, Thomas D.;
Ramos-López, Dario;
Martínez, Ana M.;
Masegosa, Andres R..
(2016)
Parallel filter-based feature selection based on balanced incomplete block designs.
Frontiers in Artificial Intelligence and Applications.
volum 285.
Vitenskapelig artikkel
-
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Fernández, Antonio;
Madsen, Anders L.;
Sáez, Ramón.
(2015)
Dynamic Bayesian modeling for risk prediction in credit operations.
Frontiers in Artificial Intelligence and Applications.
volum 278.
Vitenskapelig artikkel
-
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio;
Fernandez, Antonio;
Madsen, Anders L.;
Sáez, Ramón.
(2015)
Modeling concept drift: A probabilistic graphical model based approach.
Lecture Notes in Computer Science (LNCS).
volum 9385.
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.
volum 6 (4).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2015)
Scalable learning of probabilistic latent models for collaborative filtering.
Decision Support Systems.
volum 74.
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).
volum 9422.
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).
volum 9161.
Vitenskapelig artikkel
-
Salmeron, Antonio;
Ramoz-López, Darío;
Borchani, Hanen;
Martinez, Ana M.;
Masegosa, Andres;
Fernandez, Antonio;
Langseth, Helge;
Madsen, Anders L.;
Nielsen, Thomas D..
(2015)
Parallel importance sampling in conditional linear gaussian networks.
Lecture Notes in Computer Science (LNCS).
volum 9422.
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).
volum 9161.
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.
volum 55 (4).
Vitenskapelig artikkel
-
Nguyen, Hai Thanh;
Almenningen, Thomas;
Havig, Martin;
Schistad, Herman;
Kofod-Petersen, Anders;
Langseth, Helge;
Ramampiaro, Heri.
(2014)
Learning to Rank for Personalized Fashion Recommender Systems via Implicit Feedback.
Lecture Notes in Computer Science (LNCS).
volum 8891.
Vitenskapelig artikkel
-
Nielsen, Thomas D.;
Hovda, Sigve;
Fernandez, Antonio;
Langseth, Helge;
Madsen, Anders L.;
Masegosa, Andres;
Salmeron, Antonio.
(2014)
Requirement Engineering for a Small Project with Pre-Specified Scope.
NIKT: Norsk IKT-konferanse for forskning og utdanning.
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.
volum 121.
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).
volum 7930.
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2012)
A latent model for collaborative filtering.
International Journal of Approximate Reasoning.
volum 53 (4).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2012)
Mixtures of truncated basis functions.
International Journal of Approximate Reasoning.
volum 53 (2).
Vitenskapelig artikkel
-
Houeland, Tor Gunnar Høst;
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2011)
Combining CBR and BN using metareasoning.
Frontiers in Artificial Intelligence and Applications.
volum 227.
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.
volum 227.
Sammendrag/abstract
-
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.
volum 340.
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.
volum 51 (5).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2009)
Latent Classification Models for Binary Data.
Pattern Recognition.
volum 42 (11).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Inference in Hybrid Bayesian Networks.
Reliability Engineering & System Safety.
volum 94 (10).
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).
volum 5590.
Vitenskapelig artikkel
-
Langseth, Helge;
Portinale, Luigi.
(2007)
Bayesian Networks in Reliability.
Reliability Engineering & System Safety.
volum 92 (1).
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(2006)
Competing risks for repairable systems: A data study.
Journal of Statistical Planning and Inference.
volum 136 (5).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2006)
Classification using Hierarchical Naïve Bayes models.
Machine Learning.
volum 63 (2).
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.
volum 136 (5).
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.
volum 136 (5).
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.
volum 1 (1).
Vitenskapelig artikkel
-
Langseth, Helge;
Nielsen, Thomas D..
(2005)
Latent classification models.
Machine Learning.
volum 59.
Vitenskapelig artikkel
-
Langseth, Helge;
Jensen, Finn V..
(2003)
Decision Theoretic Troubleshooting of Coherent Systems.
Reliability Engineering & System Safety.
volum 80 (1).
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.
volum 4.
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.
volum 15 (5).
Vitenskapelig artikkel
-
Langseth, Helge;
Bangsø, Olav.
(2001)
Parameter Learning in Object Oriented Bayesian Networks.
Annals of Mathematics and Artificial Intelligence.
volum 32 (1/4).
Vitenskapelig artikkel
-
Langseth, Helge;
Haugen, Knut E.;
Sandtorv, Helge A..
(1998)
Analysis of OREDA Data for Maintenance Optimisation.
Reliability Engineering & System Safety.
volum 60 (2).
Vitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(1998)
Uncertainty Bounds for a Monotone Multistate System.
Probability in the Engineering and Informational Science.
volum 12.
Populærvitenskapelig artikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(1998)
Uncertainty bounds for a monotone multistate system.
Probability in the engineering and informational sciences (Print).
volum 12.
Vitenskapelig artikkel
Bøker
-
Ruocco, Massimiliano;
Skrede, Ole Steinar Lillestøl;
Langseth, Helge.
(2017)
Inter-Session Modeling for Session-Based Recommendation.
Association for Computing Machinery (ACM). 2017. ISBN 978-1-4503-5353-3.
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Heintz, Fredrik;
Langseth, Helge.
(2011)
Eleventh Scandinavian Conference on Artificial Intelligence -- SCAI 2011.
IOS Press. 2011. ISBN 978-1-60750-753-6. 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. 2009. ISBN 978-82-519-2519-8.
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag. 2009. ISBN 978-82-519-2519-8.
Vitenskapelig antologi/Konferanseserie
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Proceedings of the first Norwegian Artificial Intelligence Symposium.
Tapir Akademisk Forlag. 2009. ISBN 978-82-519-2519-8.
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.
2007. ISBN 9789279065743.
Vitenskapelig antologi/Konferanseserie
Del av bok/rapport
-
Andersen, Martin Lieberkind;
Sævik, Svein;
Leira, Bernt Johan;
Wu, Jie;
Langseth, Helge;
Passano, Elizabeth Anne;
Lie, Halvor;
Yin, Decao.
(2022)
Estimation of VIV-parameters based on Response Measurements and Bayesian Machine Learning Algorithms.
Proceedings of the 9th International Conference on HYDROELASTICITY IN MARINE TECHNOLOGY.
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.
2020 International Conference on Smart Energy Systems and Technologies - SEST.
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.
Business and Consumer Analytics: New Ideas.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian;
Liu, Xiaobing.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Proceedings of the 2018 ACM International Symposium on Wearable Computers.
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.
RecSys '15 Challenge: Proceedings of the 2015 International ACM Recommender Systems Challenge.
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.
Probabilistic Graphical Models.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Høverstad, Boye Annfelt;
Tidemann, Axel;
Langseth, Helge.
(2013)
Effects of data cleansing on load prediction algorithms.
2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG).
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge.
(2013)
Beating the bookie: A look at statistical models for prediction of football matches.
Twelfth Scandinavian Conference on Artificial Intelligence.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Tidemann, Axel;
Høverstad, Boye Annfelt;
Langseth, Helge;
Øzturk, Pinar.
(2013)
Effects of scale on load prediction algorithms.
CIRED 2013 Electricity Distribution Systems for a Sustainable Future.
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.
Proceedings of the Sixth European Workshop onProbabilistic Graphical Models.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2012)
Learning Mixtures of Truncated Basis Functions from Data.
Proceedings of the Sixth European Workshop onProbabilistic Graphical Models.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2011)
A hybrid CBR and BN architecture refined through data analysis.
ISDA 2011, Proceedings of the 11th International Conference on Intelligent Systems Design and Applications; 22 – 24 November 2011, Córdoba, Spain.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Heintz, Fredrik;
Langseth, Helge.
(2011)
Foreword.
Eleventh Scandinavian Conference on Artificial Intelligence -- SCAI 2011.
Forord
-
Bruland, Tore;
Aamodt, Agnar;
Langseth, Helge.
(2010)
Architectures integrating case-based reasoning and Bayesian networks for clinical decision support.
Intelligent Information Processing V.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Fernandez, Antonio;
Langseth, Helge;
Nielsen, Thomas D.;
Salmeron, Antonio.
(2010)
Parameter learning in MTE networks using incomplete data.
Proceedings of the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010).
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge.
(2010)
Tourist Without a Cause.
Proceedings of the second Norwegian Artificial Intelligence Symposium : November 22, 2010 Høgskolen i Gjøvik.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge;
Aamodt, Agnar.
(2010)
Explanations in Bayesian networks using provenance through case-based reasoning.
ICCBR 2010 Workshop Proceedings.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zhong, Shengtong;
Martinez, Ana M.;
Nielsen, Thomas D.;
Langseth, Helge.
(2010)
Towards a More Expressive Model for Dynamic Classification.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Kofod-Petersen, Anders;
Langseth, Helge;
Gundersen, Odd Erik.
(2009)
Preface.
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Forord
-
Langseth, Helge.
(2009)
Bayesian Networks for Collaborative Filtering.
Proceedings of the First Norwegian Artificial Intelligence Symposium.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Nielsen, Thomas D.;
Rumi, Rafael;
Salmeron, Antonio.
(2009)
Maximum Likelihood Learning of Conditional MTE Distributions.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Zhong, Shengtong;
Langseth, Helge.
(2009)
Local-Global-Learning of Naive Bayesian Classifier.
Fourth International Conference on Innovative Computing, Information and Control.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge.
(2008)
Bayesian networks in Reliability: The Good, The Bad, and The Ugly.
Advances in Mathematical Modeling for Reliability.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Jensen, Finn V..
(2008)
Bayesian Networks and Decision Graphs in Reliability.
Encyclopedia of Statistics in Quality and Reliability.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Portinale, Luigi.
(2007)
Applications of Bayesian Networks in Reliability Analysis.
Bayesian Network Technologies: Applications and Graphical Models.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Vatn, Jørn;
Langseth, Helge.
(2006)
Estimation of Weibull parameters when the i.i.d. assumption does not hold.
Ageing of Components and Systems.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Lindqvist, Bo Henry;
Langseth, Helge.
(2005)
Statistical modelling and inference for component failure times under preventive maintenance and independent censoring.
Modern Statistical and Mathematical Methods in Reliability.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Bjørkvoll, Thor;
Langseth, Helge.
(2004)
The Prioritization of Risk Reducing Measures in View of Uncertain Cost/Benefits.
Probabilistic Safety Assessment and ManagementPSAM 7 - ESREL '04June 14-18, 2004, Berlin, Germany.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Lindqvist, Bo Henry.
(2003)
A maintenance model for components exposed to several failure mechanisms and imperfect repair.
Mathematical and Statistical Methods in Reliability.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Langseth, Helge;
Aamodt, Agnar;
Winnem, Ole Martin.
(1999)
Learning retrieval knowledge from data.
16th International Conference on Artificial Intelligence (IJCAI 1999), Workshop ML5: Automating the Construction of Case-Based Reasoners, Proceedings.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Aamodt, Agnar;
Langseth, Helge.
(1998)
Integrating Bayesian networks into knowledge-intensive CBR.
American Association for Artificial Intelligence (AAAI 1998), Case-Based Reasoning Integrations, Papers from the workshop.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Rapport
-
Langseth, Helge;
Nielsen, Thomas D..
(2009)
A latent model for collaborative filtering.
2009.
Rapport
-
Langseth, Helge.
(2002)
Bayesian Networks with Applications in Reliability Analysis.
Tapir Akademisk Forlag. 2002. ISBN 82-471-5513-3. Doktor ingeniøravhandling : Dr.Ing.avhandling (2002:121).
Doktorgradsavhandling
Undervisning
Emner
Formidling
2022
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IntervjuLangseth, Helge. (2022) Skal vi godta at våpen sjølv bestemmer når dei skal drepe?. NRK P2, Kompass [Radio]. 2022-01-03.
2021
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IntervjuLangseth, Helge. (2021) Spotifys makt over dine lyttervaner. Under dusken [Internett]. 2021-04-21.
2020
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IntervjuHolter, Trym; Langseth, Helge. (2020) Ønsker å gjøre kunstig intelligens mer forståelig. null [Internett]. 2020-09-26.
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IntervjuLangseth, Helge. (2020) Nå blir terskelen enda lavere for nordmenn som vil lære om kunstig intelligens. DigitalNorway [Internett]. 2020-04-29.
2019
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IntervjuLangseth, Helge. (2019) Opprop mot dødelige autonome våpen. Universitetsavisa [Internett]. 2019-05-14.
2018
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Vitenskapelig foredragZeng, Ming; Gao, Haoxiang; Yu, Tong; Mengshoel, Ole Jakob; Langseth, Helge; Lane, Ian; Liu, Xiaobing. (2018) Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. 2018 ACM International Symposium on Wearable Computers . ACM; Singapore. 2018-10-08 - 2018-10-12.
2017
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Vitenskapelig foredragMathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge. (2017) Data driven case base construction for prediction of success of marine operations. ICCBR-17 Workshop on Workshop on Case-based Reasoning and Deep Learning - CBRDL 2017 . NTNU; Trondheim. 2017-06-26 - 2017-06-26.
2015
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Populærvitenskapelig foredragLangseth, Helge. (2015) Big Data: En kunst å hente kunnskap ut av store tall?. TEKMAR . SINTEF; Trondheim. 2015-12-01 - 2015-12-02.
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Populærvitenskapelig foredragLangseth, Helge. (2015) Research Frontiers in Recommender Systems. AI and BigData in a Digital World . Telenor; Fornebu. 2015-05-27 - 2015-05-27.
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IntervjuLangseth, Helge; Bjørkeng, Per Kristian. (2015) Dyp læring: Slik har maskinene begynt å lære som oss. Aftenposten [Avis]. 2015-12-09.
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Vitenskapelig foredragMasegosa, Andres; Martinez, Ana M.; Borchani, Hanen; Ramos-Lopez, Dario; Nielsen, Thomas D.; Langseth, Helge; Salmeron, Antonio; Madsen, Anders L.. (2015) AMIDST: Analysis of MassIve Data STreams. 27th Benelux Conference on Artificial Intelligence . Benelux Conference on Artificial Intelligence; Hasselt, Belgium. 2015-11-05 - 2015-11-06.
2013
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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.
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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
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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.
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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
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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.
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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
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Vitenskapelig foredragBruland, Tore; Aamodt, Agnar; Langseth, Helge. (2010) Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support. Intelligent Information Processing (IIP) 2010 . The International Federation for Information Processing; Manchester. 2010-10-13 - 2010-10-16.
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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.
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Vitenskapelig foredragKofod-Petersen, Anders; Langseth, Helge. (2010) Tourist without a cause. Second Norwegian Artificial Intelligence Symposium . NAIS; Gjøvik. 2010-11-22 - 2010-11-22.
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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.
2009
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Vitenskapelig foredragLangseth, Helge. (2009) Bayesian Networks for Collaborative Filtering. First Norwegian Artificial Intelligence Symposium . Norsk Forening For Kunstig Intelligens; Trondheim. 2009-11-23 - 2009-11-23.
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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
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Vitenskapelig foredragLangseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2008) Parameter Estimation in Mixtures of Truncated Exponentials. The Fourth European Workshop on Probabilistic Graphical Models . Aalborg Universitet; Hirtshals. 2008-09-17 - 2008-09-19.
2007
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Vitenskapelig foredragLangseth, Helge. (2007) Bayesian Networks in Reliability. Mathematical Methods in Reliability: Methodology and Practice . Strathclyde University; Glasgow. 2007-07-01 - 2007-07-04.
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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.
2004
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Vitenskapelig foredragLangseth, Helge. (2004) Bayesian Networks in Reliability: Some recent developments. The fourth International Conference on Mathematical Models in Reliability, MMR'04 . MMR; 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. . [Mangler data]; Delft, Holland. 2003-06-20.
2002
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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 . [Mangler data]; Trondheim. 2002-06-20.
2001
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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 . [Mangler data]; Key West, FL. 2001-05-23.
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Vitenskapelig foredragLangseth, Helge; Jensen, Finn V.. (2001) Heuristics for two extensions of basic troubleshooting. Seventh scandinavian conference on Artificial Intelligence, SCAI'01 . SCAI; Odense. 2001-02-21 - 2002-02-22.
1999
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Vitenskapelig foredragLangseth, Helge. (1999) Modelling Maintenance for Components under Competing Risk. Tenth European Conference on Safety and Reliability -- ESREL'99 . [Mangler data]; Munchen. 1999-09-17.
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Vitenskapelig foredragLangseth, Helge; Aamodt, Agnar; Winnem, Ole Martin. (1999) Learning retrieval knowledge form data. Sixteenth International Joint Conference on Artificial Intelligence . IJCAI; Stockholm. 1999-07-31 - 1999-08-06.
1998
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Vitenskapelig foredragLangseth, Helge. (1998) Analysis of survival times using Bayesian Networks. The ninth European Conference on Safety and Reliability - ESREL'98 . [Mangler data]; Trondheim. 1998-06-10.
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Vitenskapelig foredragLangseth, Helge. (1998) Analysis of survival times using Bayesian networks. ESREL'98 . [Mangler data]; Trondheim. 1998-06-09.
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Vitenskapelig foredragLangseth, Helge; Aamodt, Agnar. (1998) Integrating Bayesian networks into knowledge intensive CBR. Amerikanske AI-konferansen, AAAI-98 . AAAI; Madison, wis. USA. 1998-08-27.