Navigation

  • Skip to Content
NTNU Home

ntnu.edu

  • Studies
    • Master's programmes in English
    • For exchange students
    • PhD opportunities
    • All programmes of study
    • Courses
    • Financing
    • Language requirements
    • Application process
    • Academic calendar
    • FAQ
  • Research and innovation
    • NTNU research
    • Research excellence
    • Strategic research areas
    • Innovation resources
    • PhD opportunities
  • Life and housing
    • Student in Trondheim
    • Student in Gjøvik
    • Student in Ålesund
    • For researchers
    • Life and housing
  • About NTNU
    • Contact us
    • Faculties and departments
    • Libraries
    • International researcher support
    • Vacancies
    • About NTNU
    • Maps
  1. Employees

Språkvelger

Norsk

Helge Langseth

Helge Langseth

Professor
Department of Computer Science
Faculty of Information Technology and Electrical Engineering

helge.langseth@ntnu.no
Gamle fysikk, 356, Gløshaugen, Sem Sælands vei 9
About Publications Teaching Media

About

Area of research

My research is on computational structures for helping people making clever decision when faced with uncertainty. In paricular, I work with

  • Probabilistic graphical models, in particular Bayesian networks
  • Decision support systems 
  • Bayesian methods
  • Machine learning

Research group:  Intelligent systems

Homepage: www.idi.ntnu.no/~helgel/

 

Competencies

  • Artificial intelligence
  • Machine learning

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2023

  • Killingberg, Ludvig; Langseth, Helge. (2023) The Multiquadric Kernel for Moment-Matching Distributional Reinforcement Learning. Transactions on Machine Learning Research (TMLR)
    Academic article
  • Killingberg, Ludvig; Langseth, Helge. (2023) Bayesian Exploration in Deep Reinforcement Learning. CEUR Workshop Proceedings
    Academic article
  • 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)
    Academic chapter/article/Conference paper

2022

  • Langseth, Helge; Høijord, Espen Hansen. (2022) Explainable AI (XAI) for grid loss forecasting. Fakultet for informasjonsteknologi og elektroteknikk
    Masters thesis
  • 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.
    Academic chapter/article/Conference paper
  • 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)
    Academic article
  • 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)
    Academic article

2021

  • Bekkemoen, Yanzhe; Langseth, Helge. (2021) Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities. Norwegian University of Science and Technology
    Masters thesis
  • Kvamme, Johannes; Larsen, Pål-Edward; Langseth, Helge. (2021) Achieving Trustable Explanations Through Multi-Task Learning Neural Networks. Norwegian University of Science and Technology
    Masters thesis
  • 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)
    Doctoral dissertation
  • Masegosa, Andres; Cabañas, Rafael; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio. (2021) Probabilistic Models with Deep Neural Networks. Entropy
    Academic article
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Bach, Kerstin; Langseth, Helge. (2021) Using similarity learning to enable decision support in aquaculture. Doctoral theses at NTNU (331)
    Doctoral dissertation
  • Tiwari, Shweta; Ramampiaro, Heri; Langseth, Helge. (2021) Machine Learning in Financial Market Surveillance: A Survey. IEEE Access
    Academic literature review

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
    Academic article
  • 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
    Academic article
  • 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)
    Academic chapter/article/Conference paper
  • Saleh Salem, Tárik; Langseth, Helge; Ramampiaro, Heri. (2020) Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Proceedings of Machine Learning Research (PMLR)
    Academic article

2019

  • 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
    Academic article
  • 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
    Academic chapter/article/Conference paper
  • 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
    Academic article
  • Swider, Anna; Langseth, Helge; Pedersen, Eilif. (2019) Application of data-driven models in the analysis of marine power systems. Applied Ocean Research
    Academic article
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge; Bach, Kerstin. (2019) Learning similarity measures from data. Progress in Artificial Intelligence
    Academic article

2018

  • 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
    Academic article
  • 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
    Academic literature review
  • 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
    Academic article
  • Agarwal, Basant; Ramampiaro, Heri; Langseth, Helge; Ruocco, Massimiliano. (2018) A deep network model for paraphrase detection in short text messages. Information Processing & Management
    Academic article
  • Pitsilis, Georgios; Ramampiaro, Heri; Langseth, Helge. (2018) Effective hate-speech detection in Twitter data using recurrent neural networks. Applied intelligence (Boston)
    Academic article
  • 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)
    Academic chapter/article/Conference paper

2017

  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge. (2017) Data driven case base construction for prediction of success of marine operations . CEUR Workshop Proceedings
    Academic article
  • 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)
    Academic anthology/Conference proceedings
  • de Souza da Silva, Eliezer; Langseth, Helge; Ramampiaro, Heri. (2017) Content-Based Social Recommendation with Poisson Matrix Factorization. Lecture Notes in Computer Science (LNCS)
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article

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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article

2015

  • Langseth, Helge; Nielsen, Thomas D.. (2015) Scalable learning of probabilistic latent models for collaborative filtering. Decision Support Systems
    Academic article
  • 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
    Academic chapter/article/Conference paper
  • 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
    Academic article
  • Madsen, Anders L.; Jensen, Frank; Salmeron, Antonio; Langseth, Helge; Nielsen, Thomas D.. (2015) Parallelization of the PC Algorithm. Lecture Notes in Computer Science (LNCS)
    Academic article
  • 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)
    Academic article
  • 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
    Academic article
  • 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)
    Academic article
  • 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)
    Academic article
  • Pérez-Bernabé, Inmaculada; Salmeron, Antonio; Langseth, Helge. (2015) Learning conditional distributions using mixtures of truncated basis functions. Lecture Notes in Computer Science (LNCS)
    Academic article

2014

  • 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
    Academic article
  • 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
    Academic chapter/article/Conference paper
  • 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)
    Academic article
  • Zhong, Shengtong; Langseth, Helge; Nielsen, Thomas D.. (2014) A classification-based approach to monitoring the safety of dynamic systems. Reliability Engineering & System Safety
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.; Pérez-Bernabé, Inmaculada; Salmeron, Antonio. (2014) Learning mixtures of truncated basis functions from data. International Journal of Approximate Reasoning
    Academic article

2013

  • 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
    Academic chapter/article/Conference paper
  • Høverstad, Boye Annfelt; Tidemann, Axel; Langseth, Helge. (2013) Effects of data cleansing on load prediction algorithms. IEEE conference proceedings
    Academic chapter/article/Conference paper
  • Langseth, Helge. (2013) Beating the bookie: A look at statistical models for prediction of football matches. IOS Press
    Academic chapter/article/Conference paper
  • Langseth, Helge; Marquez, David; Neil, Martin. (2013) Fast approximate inference in hybrid Bayesian networks using dynamic discretisation. Lecture Notes in Computer Science (LNCS)
    Academic article

2012

  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2012) Mixtures of truncated basis functions. International Journal of Approximate Reasoning
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2012) A latent model for collaborative filtering. International Journal of Approximate Reasoning
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio. (2012) Learning Mixtures of Truncated Basis Functions from Data.
    Academic chapter/article/Conference paper
  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2012) Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions.
    Academic chapter/article/Conference paper

2011

  • Kofod-Petersen, Anders; Heintz, Fredrik; Langseth, Helge. (2011) Foreword. IOS Press
    Foreword
  • 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)
    Academic anthology/Conference proceedings
  • Bruland, Tore; Aamodt, Agnar; Langseth, Helge. (2011) A hybrid CBR and BN architecture refined through data analysis. IEEE conference proceedings
    Academic chapter/article/Conference paper
  • 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
    Abstract
  • Houeland, Tor Gunnar Høst; Bruland, Tore; Aamodt, Agnar; Langseth, Helge. (2011) Combining CBR and BN using metareasoning. Frontiers in Artificial Intelligence and Applications
    Academic article

2010

  • Zhong, Shengtong; Martinez, Ana M.; Nielsen, Thomas D.; Langseth, Helge. (2010) Towards a More Expressive Model for Dynamic Classification. AAAI Press
    Academic chapter/article/Conference paper
  • Fernandez, Antonio; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio. (2010) Parameter learning in MTE networks using incomplete data.
    Academic chapter/article/Conference paper
  • Kofod-Petersen, Anders; Langseth, Helge; Aamodt, Agnar. (2010) Explanations in Bayesian networks using provenance through case-based reasoning.
    Academic chapter/article/Conference paper
  • 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
    Academic article
  • Bruland, Tore; Aamodt, Agnar; Langseth, Helge. (2010) Architectures integrating case-based reasoning and Bayesian networks for clinical decision support. Springer
    Academic chapter/article/Conference paper
  • 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
    Academic article
  • Kofod-Petersen, Anders; Langseth, Helge. (2010) Tourist Without a Cause. Tapir Akademisk Forlag
    Academic chapter/article/Conference paper

2009

  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2009) Maximum Likelihood Learning of Conditional MTE Distributions. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Kofod-Petersen, Anders; Langseth, Helge; Gundersen, Odd Erik. (2009) Proceedings of the First Norwegian Artificial Intelligence Symposium. Tapir Akademisk Forlag Tapir Akademisk Forlag
    Academic anthology/Conference proceedings
  • Kofod-Pedersen, Anders; Langseth, Helge; Gundersen, Odd Erik. (2009) Proceedings of the First Norwegian Artificial Intelligence Symposium. Tapir Akademisk Forlag Tapir Akademisk Forlag
    Academic anthology/Conference proceedings
  • Kofod-Petersen, Anders; Langseth, Helge; Gundersen, Odd Erik. (2009) Proceedings of the first Norwegian Artificial Intelligence Symposium. Tapir Akademisk Forlag Tapir Akademisk Forlag
    Academic anthology/Conference proceedings
  • Kofod-Petersen, Anders; Langseth, Helge; Gundersen, Odd Erik. (2009) Preface. Tapir Akademisk Forlag
    Foreword
  • Zhong, Shengtong; Langseth, Helge. (2009) Local-Global-Learning of Naive Bayesian Classifier. IEEE (Institute of Electrical and Electronics Engineers)
    Academic chapter/article/Conference paper
  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2009) Maximum Likelihood Learning of Conditional MTE Distributions. Springer
    Academic chapter/article/Conference paper
  • Langseth, Helge. (2009) Bayesian Networks for Collaborative Filtering. Tapir Akademisk Forlag
    Academic chapter/article/Conference paper
  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2009) Inference in Hybrid Bayesian Networks. Reliability Engineering & System Safety
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2009) Latent Classification Models for Binary Data. Pattern Recognition
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2009) A latent model for collaborative filtering. Aalborg Universitetsforlag Aalborg Universitetsforlag
    Report

2008

  • Langseth, Helge; Jensen, Finn V.. (2008) Bayesian Networks and Decision Graphs in Reliability. John Wiley & Sons
    Academic chapter/article/Conference paper
  • Langseth, Helge. (2008) Bayesian networks in Reliability: The Good, The Bad, and The Ugly. IOS Press
    Academic chapter/article/Conference paper

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
    Academic anthology/Conference proceedings
  • Langseth, Helge; Portinale, Luigi. (2007) Applications of Bayesian Networks in Reliability Analysis. Idea Group Publishing
    Academic chapter/article/Conference paper
  • Langseth, Helge; Portinale, Luigi. (2007) Bayesian Networks in Reliability. Reliability Engineering & System Safety
    Academic article

2006

  • Vatn, Jørn; Langseth, Helge. (2006) Estimation of Weibull parameters when the i.i.d. assumption does not hold.
    Academic chapter/article/Conference paper
  • 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
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2006) Classification using Hierarchical Naïve Bayes models. Machine Learning
    Academic article
  • Langseth, Helge; Lindqvist, Bo Henry. (2006) Competing risks for repairable systems: A data study. Journal of Statistical Planning and Inference
    Academic article
  • 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
    Academic article

2005

  • Lindqvist, Bo Henry; Langseth, Helge. (2005) Statistical modelling and inference for component failure times under preventive maintenance and independent censoring.
    Academic chapter/article/Conference paper
  • Langseth, Helge; Nielsen, Thomas D.. (2005) Latent classification models. Machine Learning
    Academic article
  • Hokstad, Per; Langseth, Helge; Lindqvist, Bo Henry; Vatn, Jørn. (2005) Failure modeling and maintenance optimization for a railway line. International Journal of Performability Engineering
    Academic article

2004

  • Bjørkvoll, Thor; Langseth, Helge. (2004) The Prioritization of Risk Reducing Measures in View of Uncertain Cost/Benefits. Springer
    Academic chapter/article/Conference paper

2003

  • Langseth, Helge; Lindqvist, Bo Henry. (2003) A maintenance model for components exposed to several failure mechanisms and imperfect repair. World Scientific
    Academic chapter/article/Conference paper
  • Langseth, Helge; Jensen, Finn V.. (2003) Decision Theoretic Troubleshooting of Coherent Systems. Reliability Engineering & System Safety
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2003) Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains. Journal of machine learning research
    Academic article

2002

  • Langseth, Helge. (2002) Bayesian Networks with Applications in Reliability Analysis. Tapir Akademisk Forlag Doktor ingeniøravhandling : Dr.Ing.avhandling (2002:121)
    Doctoral dissertation

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
    Academic article
  • Langseth, Helge; Bangsø, Olav. (2001) Parameter Learning in Object Oriented Bayesian Networks. Annals of Mathematics and Artificial Intelligence
    Academic article

1999

  • Langseth, Helge; Aamodt, Agnar; Winnem, Ole Martin. (1999) Learning retrieval knowledge from data.
    Academic chapter/article/Conference paper

1998

  • Langseth, Helge; Haugen, Knut E. ; Sandtorv, Helge A.. (1998) Analysis of OREDA Data for Maintenance Optimisation. Reliability Engineering & System Safety
    Academic article
  • Langseth, Helge; Lindqvist, Bo Henry. (1998) Uncertainty Bounds for a Monotone Multistate System. Probability in the Engineering and Informational Science
    Popular scientific article
  • Aamodt, Agnar; Langseth, Helge. (1998) Integrating Bayesian networks into knowledge-intensive CBR. AAAI Press
    Academic chapter/article/Conference paper
  • Langseth, Helge; Lindqvist, Bo Henry. (1998) Uncertainty bounds for a monotone multistate system. Probability in the engineering and informational sciences (Print)
    Academic article

Journal publications

  • Killingberg, Ludvig; Langseth, Helge. (2023) The Multiquadric Kernel for Moment-Matching Distributional Reinforcement Learning. Transactions on Machine Learning Research (TMLR)
    Academic article
  • Killingberg, Ludvig; Langseth, Helge. (2023) Bayesian Exploration in Deep Reinforcement Learning. CEUR Workshop Proceedings
    Academic article
  • 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)
    Academic article
  • 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)
    Academic article
  • Masegosa, Andres; Cabañas, Rafael; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio. (2021) Probabilistic Models with Deep Neural Networks. Entropy
    Academic article
  • Tiwari, Shweta; Ramampiaro, Heri; Langseth, Helge. (2021) Machine Learning in Financial Market Surveillance: A Survey. IEEE Access
    Academic literature review
  • Masegosa, Andres; Ramos-López, Dario; Salmeron, Antonio; Langseth, Helge; Nielsen, Thomas D.. (2020) Variational Inference over Nonstationary Data Streams for Exponential Family Models. Mathematics
    Academic article
  • 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
    Academic article
  • Saleh Salem, Tárik; Langseth, Helge; Ramampiaro, Heri. (2020) Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Proceedings of Machine Learning Research (PMLR)
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • Swider, Anna; Langseth, Helge; Pedersen, Eilif. (2019) Application of data-driven models in the analysis of marine power systems. Applied Ocean Research
    Academic article
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge; Bach, Kerstin. (2019) Learning similarity measures from data. Progress in Artificial Intelligence
    Academic article
  • 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
    Academic article
  • 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
    Academic literature review
  • 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
    Academic article
  • Agarwal, Basant; Ramampiaro, Heri; Langseth, Helge; Ruocco, Massimiliano. (2018) A deep network model for paraphrase detection in short text messages. Information Processing & Management
    Academic article
  • Pitsilis, Georgios; Ramampiaro, Heri; Langseth, Helge. (2018) Effective hate-speech detection in Twitter data using recurrent neural networks. Applied intelligence (Boston)
    Academic article
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge. (2017) Data driven case base construction for prediction of success of marine operations . CEUR Workshop Proceedings
    Academic article
  • de Souza da Silva, Eliezer; Langseth, Helge; Ramampiaro, Heri. (2017) Content-Based Social Recommendation with Poisson Matrix Factorization. Lecture Notes in Computer Science (LNCS)
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2015) Scalable learning of probabilistic latent models for collaborative filtering. Decision Support Systems
    Academic article
  • 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
    Academic article
  • Madsen, Anders L.; Jensen, Frank; Salmeron, Antonio; Langseth, Helge; Nielsen, Thomas D.. (2015) Parallelization of the PC Algorithm. Lecture Notes in Computer Science (LNCS)
    Academic article
  • 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)
    Academic article
  • 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
    Academic article
  • 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)
    Academic article
  • 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)
    Academic article
  • Pérez-Bernabé, Inmaculada; Salmeron, Antonio; Langseth, Helge. (2015) Learning conditional distributions using mixtures of truncated basis functions. Lecture Notes in Computer Science (LNCS)
    Academic article
  • 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
    Academic article
  • 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)
    Academic article
  • Zhong, Shengtong; Langseth, Helge; Nielsen, Thomas D.. (2014) A classification-based approach to monitoring the safety of dynamic systems. Reliability Engineering & System Safety
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.; Pérez-Bernabé, Inmaculada; Salmeron, Antonio. (2014) Learning mixtures of truncated basis functions from data. International Journal of Approximate Reasoning
    Academic article
  • Langseth, Helge; Marquez, David; Neil, Martin. (2013) Fast approximate inference in hybrid Bayesian networks using dynamic discretisation. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2012) Mixtures of truncated basis functions. International Journal of Approximate Reasoning
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2012) A latent model for collaborative filtering. International Journal of Approximate Reasoning
    Academic article
  • 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
    Abstract
  • Houeland, Tor Gunnar Høst; Bruland, Tore; Aamodt, Agnar; Langseth, Helge. (2011) Combining CBR and BN using metareasoning. Frontiers in Artificial Intelligence and Applications
    Academic article
  • 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
    Academic article
  • 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
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2009) Maximum Likelihood Learning of Conditional MTE Distributions. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2009) Inference in Hybrid Bayesian Networks. Reliability Engineering & System Safety
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2009) Latent Classification Models for Binary Data. Pattern Recognition
    Academic article
  • Langseth, Helge; Portinale, Luigi. (2007) Bayesian Networks in Reliability. Reliability Engineering & System Safety
    Academic article
  • 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
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2006) Classification using Hierarchical Naïve Bayes models. Machine Learning
    Academic article
  • Langseth, Helge; Lindqvist, Bo Henry. (2006) Competing risks for repairable systems: A data study. Journal of Statistical Planning and Inference
    Academic article
  • 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
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2005) Latent classification models. Machine Learning
    Academic article
  • Hokstad, Per; Langseth, Helge; Lindqvist, Bo Henry; Vatn, Jørn. (2005) Failure modeling and maintenance optimization for a railway line. International Journal of Performability Engineering
    Academic article
  • Langseth, Helge; Jensen, Finn V.. (2003) Decision Theoretic Troubleshooting of Coherent Systems. Reliability Engineering & System Safety
    Academic article
  • Langseth, Helge; Nielsen, Thomas D.. (2003) Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains. Journal of machine learning research
    Academic article
  • 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
    Academic article
  • Langseth, Helge; Bangsø, Olav. (2001) Parameter Learning in Object Oriented Bayesian Networks. Annals of Mathematics and Artificial Intelligence
    Academic article
  • Langseth, Helge; Haugen, Knut E. ; Sandtorv, Helge A.. (1998) Analysis of OREDA Data for Maintenance Optimisation. Reliability Engineering & System Safety
    Academic article
  • Langseth, Helge; Lindqvist, Bo Henry. (1998) Uncertainty Bounds for a Monotone Multistate System. Probability in the Engineering and Informational Science
    Popular scientific article
  • Langseth, Helge; Lindqvist, Bo Henry. (1998) Uncertainty bounds for a monotone multistate system. Probability in the engineering and informational sciences (Print)
    Academic article

Books

  • 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)
    Academic anthology/Conference proceedings
  • 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)
    Academic anthology/Conference proceedings
  • Kofod-Petersen, Anders; Langseth, Helge; Gundersen, Odd Erik. (2009) Proceedings of the First Norwegian Artificial Intelligence Symposium. Tapir Akademisk Forlag Tapir Akademisk Forlag
    Academic anthology/Conference proceedings
  • Kofod-Pedersen, Anders; Langseth, Helge; Gundersen, Odd Erik. (2009) Proceedings of the First Norwegian Artificial Intelligence Symposium. Tapir Akademisk Forlag Tapir Akademisk Forlag
    Academic anthology/Conference proceedings
  • Kofod-Petersen, Anders; Langseth, Helge; Gundersen, Odd Erik. (2009) Proceedings of the first Norwegian Artificial Intelligence Symposium. Tapir Akademisk Forlag Tapir Akademisk Forlag
    Academic anthology/Conference proceedings
  • 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
    Academic anthology/Conference proceedings

Part of book/report

  • 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)
    Academic chapter/article/Conference paper
  • 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.
    Academic chapter/article/Conference paper
  • 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)
    Academic chapter/article/Conference paper
  • 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
    Academic chapter/article/Conference paper
  • 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)
    Academic chapter/article/Conference paper
  • 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
    Academic chapter/article/Conference paper
  • 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
    Academic chapter/article/Conference paper
  • 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
    Academic chapter/article/Conference paper
  • Høverstad, Boye Annfelt; Tidemann, Axel; Langseth, Helge. (2013) Effects of data cleansing on load prediction algorithms. IEEE conference proceedings
    Academic chapter/article/Conference paper
  • Langseth, Helge. (2013) Beating the bookie: A look at statistical models for prediction of football matches. IOS Press
    Academic chapter/article/Conference paper
  • Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio. (2012) Learning Mixtures of Truncated Basis Functions from Data.
    Academic chapter/article/Conference paper
  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2012) Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions.
    Academic chapter/article/Conference paper
  • Kofod-Petersen, Anders; Heintz, Fredrik; Langseth, Helge. (2011) Foreword. IOS Press
    Foreword
  • Bruland, Tore; Aamodt, Agnar; Langseth, Helge. (2011) A hybrid CBR and BN architecture refined through data analysis. IEEE conference proceedings
    Academic chapter/article/Conference paper
  • Zhong, Shengtong; Martinez, Ana M.; Nielsen, Thomas D.; Langseth, Helge. (2010) Towards a More Expressive Model for Dynamic Classification. AAAI Press
    Academic chapter/article/Conference paper
  • Fernandez, Antonio; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio. (2010) Parameter learning in MTE networks using incomplete data.
    Academic chapter/article/Conference paper
  • Kofod-Petersen, Anders; Langseth, Helge; Aamodt, Agnar. (2010) Explanations in Bayesian networks using provenance through case-based reasoning.
    Academic chapter/article/Conference paper
  • Bruland, Tore; Aamodt, Agnar; Langseth, Helge. (2010) Architectures integrating case-based reasoning and Bayesian networks for clinical decision support. Springer
    Academic chapter/article/Conference paper
  • Kofod-Petersen, Anders; Langseth, Helge. (2010) Tourist Without a Cause. Tapir Akademisk Forlag
    Academic chapter/article/Conference paper
  • Kofod-Petersen, Anders; Langseth, Helge; Gundersen, Odd Erik. (2009) Preface. Tapir Akademisk Forlag
    Foreword
  • Zhong, Shengtong; Langseth, Helge. (2009) Local-Global-Learning of Naive Bayesian Classifier. IEEE (Institute of Electrical and Electronics Engineers)
    Academic chapter/article/Conference paper
  • Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio. (2009) Maximum Likelihood Learning of Conditional MTE Distributions. Springer
    Academic chapter/article/Conference paper
  • Langseth, Helge. (2009) Bayesian Networks for Collaborative Filtering. Tapir Akademisk Forlag
    Academic chapter/article/Conference paper
  • Langseth, Helge; Jensen, Finn V.. (2008) Bayesian Networks and Decision Graphs in Reliability. John Wiley & Sons
    Academic chapter/article/Conference paper
  • Langseth, Helge. (2008) Bayesian networks in Reliability: The Good, The Bad, and The Ugly. IOS Press
    Academic chapter/article/Conference paper
  • Langseth, Helge; Portinale, Luigi. (2007) Applications of Bayesian Networks in Reliability Analysis. Idea Group Publishing
    Academic chapter/article/Conference paper
  • Vatn, Jørn; Langseth, Helge. (2006) Estimation of Weibull parameters when the i.i.d. assumption does not hold.
    Academic chapter/article/Conference paper
  • Lindqvist, Bo Henry; Langseth, Helge. (2005) Statistical modelling and inference for component failure times under preventive maintenance and independent censoring.
    Academic chapter/article/Conference paper
  • Bjørkvoll, Thor; Langseth, Helge. (2004) The Prioritization of Risk Reducing Measures in View of Uncertain Cost/Benefits. Springer
    Academic chapter/article/Conference paper
  • Langseth, Helge; Lindqvist, Bo Henry. (2003) A maintenance model for components exposed to several failure mechanisms and imperfect repair. World Scientific
    Academic chapter/article/Conference paper
  • Langseth, Helge; Aamodt, Agnar; Winnem, Ole Martin. (1999) Learning retrieval knowledge from data.
    Academic chapter/article/Conference paper
  • Aamodt, Agnar; Langseth, Helge. (1998) Integrating Bayesian networks into knowledge-intensive CBR. AAAI Press
    Academic chapter/article/Conference paper

Report

  • Langseth, Helge; Høijord, Espen Hansen. (2022) Explainable AI (XAI) for grid loss forecasting. Fakultet for informasjonsteknologi og elektroteknikk
    Masters thesis
  • Bekkemoen, Yanzhe; Langseth, Helge. (2021) Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities. Norwegian University of Science and Technology
    Masters thesis
  • Kvamme, Johannes; Larsen, Pål-Edward; Langseth, Helge. (2021) Achieving Trustable Explanations Through Multi-Task Learning Neural Networks. Norwegian University of Science and Technology
    Masters thesis
  • 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)
    Doctoral dissertation
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Bach, Kerstin; Langseth, Helge. (2021) Using similarity learning to enable decision support in aquaculture. Doctoral theses at NTNU (331)
    Doctoral dissertation
  • Langseth, Helge; Nielsen, Thomas D.. (2009) A latent model for collaborative filtering. Aalborg Universitetsforlag Aalborg Universitetsforlag
    Report
  • Langseth, Helge. (2002) Bayesian Networks with Applications in Reliability Analysis. Tapir Akademisk Forlag Doktor ingeniøravhandling : Dr.Ing.avhandling (2002:121)
    Doctoral dissertation

Teaching

Courses

  • TDT4171 - Artificial Intelligence Methods
  • DT8122 - Probabilistic Artificial Intelligence
  • IT3030 - Deep Learning

Media

2022

  • Interview
    Langseth, Helge. (2022) Skal vi godta at våpen sjølv bestemmer når dei skal drepe?. NRK P2, Kompass NRK P2, Kompass [Radio] 2022-01-03
  • Academic lecture
    Salmeron, 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

  • Interview
    Langseth, Helge. (2021) Spotifys makt over dine lyttervaner. Under dusken Under dusken [Internet] 2021-04-21

2020

  • Interview
    Holter, Trym; Langseth, Helge. (2020) Ønsker å gjøre kunstig intelligens mer forståelig. [Internet] 2020-09-26
  • Interview
    Langseth, Helge. (2020) Nå blir terskelen enda lavere for nordmenn som vil lære om kunstig intelligens. DigitalNorway DigitalNorway [Internet] 2020-04-29

2019

  • Interview
    Langseth, Helge. (2019) Opprop mot dødelige autonome våpen. Universitetsavisa Universitetsavisa [Internet] 2019-05-14

2018

  • Academic lecture
    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. ACM 2018 ACM International Symposium on Wearable Computers , Singapore 2018-10-08 - 2018-10-12

2017

  • Academic lecture
    Mathisen, 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

  • Interview
    Langseth, Helge; Bjørkeng, Per Kristian. (2015) Dyp læring: Slik har maskinene begynt å lære som oss. Aftenposten Aftenposten [Newspaper] 2015-12-09
  • Popular scientific lecture
    Langseth, Helge. (2015) Big Data: En kunst å hente kunnskap ut av store tall?. SINTEF TEKMAR , Trondheim 2015-12-01 - 2015-12-02
  • Popular scientific lecture
    Langseth, Helge. (2015) Research Frontiers in Recommender Systems. Telenor AI and BigData in a Digital World , Fornebu 2015-05-27 - 2015-05-27
  • Academic lecture
    Masegosa, 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

  • Academic lecture
    Langseth, 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
  • Academic lecture
    Langseth, 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

2012

  • Academic lecture
    Langseth, 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
  • Academic lecture
    Langseth, 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

2011

  • Academic lecture
    Houeland, 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
  • Academic lecture
    Lillegraven, 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

  • Academic lecture
    Fernandez, 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
  • Academic lecture
    Kofod-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
  • Academic lecture
    Bruland, 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
  • Academic lecture
    Kofod-Petersen, Anders; Langseth, Helge. (2010) Tourist without a cause. NAIS Second Norwegian Artificial Intelligence Symposium , Gjøvik 2010-11-22 - 2010-11-22

2009

  • Academic lecture
    Langseth, 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
  • Academic lecture
    Langseth, Helge. (2009) Bayesian Networks for Collaborative Filtering. Norsk Forening For Kunstig Intelligens First Norwegian Artificial Intelligence Symposium , Trondheim 2009-11-23 - 2009-11-23

2008

  • Academic lecture
    Langseth, 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

  • Academic lecture
    Langseth, 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
  • Academic lecture
    Langseth, Helge. (2007) Bayesian Networks in Reliability. Strathclyde University Mathematical Methods in Reliability: Methodology and Practice , Glasgow 2007-07-01 - 2007-07-04

2004

  • Academic lecture
    Langseth, 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

  • Academic lecture
    Langseth, 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

  • Academic lecture
    Langseth, 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

  • Academic lecture
    Langseth, 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
  • Academic lecture
    Bangsø, 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

  • Academic lecture
    Langseth, 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
  • Academic lecture
    Langseth, Helge. (1999) Modelling Maintenance for Components under Competing Risk. Tenth European Conference on Safety and Reliability -- ESREL'99 , Munchen 1999-09-17 -

1998

  • Academic lecture
    Langseth, Helge; Aamodt, Agnar. (1998) Integrating Bayesian networks into knowledge intensive CBR. AAAI Amerikanske AI-konferansen, AAAI-98 , Madison, wis. USA 1998-08-27 -
  • Academic lecture
    Langseth, Helge. (1998) Analysis of survival times using Bayesian networks. ESREL'98 , Trondheim 1998-06-09 -
  • Academic lecture
    Langseth, Helge. (1998) Analysis of survival times using Bayesian Networks. The ninth European Conference on Safety and Reliability - ESREL'98 , Trondheim 1998-06-10 -
NTNU
Studies
  • Master's programmes in English
  • For exchange students
  • PhD opportunities
  • Courses
  • Career development
  • Continuing education
  • Application process
Contact
  • Contact NTNU
  • Employees
  • For alumni
  • Press contacts
  • Researcher support
Discover NTNU
  • Experts
  • Vacancies
  • Pictures from NTNU
  • Innovation resources
  • NTNU in Gjøvik
  • NTNU in Trondheim
  • NTNU in Ålesund
  • Maps
About NTNU
  • NTNU's strategy
  • Research excellence
  • Strategic research areas
  • Organizational chart
  • Libraries
  • About the university
Services
  • For employees
  • For students
  • Blackboard
  • Intranet

Norwegian University of Science and Technology

Use of cookies
Accessibility statement (in Norwegian)
Privacy policy
Editorial responsibility
Sign In