Langseth, Helge Autor

Open Access

Artificial intelligence and headache

  • Stubberud A.
  • Langseth H.
  • Nachev P.
  • Matharu M.S.
  • Tronvik E.

Cephalalgia - 1/8/2024

10.1177/03331024241268290

Número de citas: 2 (Scopus)
Open Access

What predicts citation counts and translational impact in headache research? A machine learning analysis

  • Danelakis A.
  • Langseth H.
  • Nachev P.
  • Nelson A.
  • Bjørk M.H.
  • Matharu M.S.
  • Tronvik E.
  • May A.
  • Stubberud A.
... Ver más Contraer

Cephalalgia - 1/5/2024

10.1177/03331024241251488

Número de citas: 3 (Scopus)
Open Access

Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation

  • Vassøy B.
  • Langseth H.

Artificial Intelligence Review - 1/4/2024

10.1007/s10462-023-10663-5

Número de citas: 5 (Scopus)

Applying Bayesian optimization to predict parameters in a time-domain model for cross-flow vortex-induced vibrations

  • Andersen M.L.
  • Sævik S.
  • Wu J.
  • Leira B.J.
  • Langseth H.

Marine Structures - 1/3/2024

10.1016/j.marstruc.2023.103571

Número de citas: 3 (Scopus)
Open Access

Simulating Vortex-Induced Vibrations in Sheared Current by Using an Empirical Time-Domain Model with Adaptive Parameters

  • Andersen M.L.
  • Sævik S.
  • Wu J.
  • Leira B.J.
  • Langseth H.

Applied Ocean Research - 1/12/2024

10.1016/j.apor.2024.104284

Número de citas: 0 (Scopus)

The Multiquadric Kernel for Moment-Matching Distributional Reinforcement Learning

  • Killingberg L.
  • Langseth H.

Transactions on Machine Learning Research - 1/8/2023

Número de citas: 2 (Scopus)
Open Access

Deep Contextual Grid Triplet Network for Context-Aware Recommendation

  • Sofia Aftab
  • Heri Ramampiaro
  • Helge Langseth
  • Massimiliano Ruocco

IEEE ACCESS - 1/1/2023

10.1109/access.2023.3310470

Número de citas: 1 (Web of Science) 3 (Scopus)
Open Access

Probabilistic Models with Deep Neural Networks

  • Andrés R. Masegosa
  • Rafael Cabañas De Paz
  • Helge Langseth
  • Thomas Dyhre Nielsen
  • Antonio Salmerón Cerdán

ENTROPY - 1/1/2021

10.3390/e23010117

Número de citas: 7 (Web of Science) 7 (Scopus)
Open Access

Machine Learning in Financial Market Surveillance: A Survey

  • Tiwari S.
  • Ramampiaro H.
  • Langseth H.

IEEE Access - 1/1/2021

10.1109/access.2021.3130843

Número de citas: 9 (Scopus)

Learning similarity measures from data

  • Mathisen B.
  • Aamodt A.
  • Bach K.
  • Langseth H.

PROGRESS IN ARTIFICIAL INTELLIGENCE - 1/6/2020

10.1007/s13748-019-00201-2

Número de citas: 33 (Web of Science) 42 (Scopus)

New Ideas in Ranking for Personalized Fashion Recommender Systems

  • Ramampiaro H.
  • Langseth H.
  • Almenningen T.
  • Schistad H.
  • Havig M.
  • Nguyen H.T.

Business and Consumer Analytics: New Ideas - 1/1/2019

10.1007/978-3-030-06222-4_25

Número de citas: 2 (Scopus)

Learning hybrid bayesian networks using mixtures of truncated basis functions. Aprendizaje de redes bayesianas híbridas con mixturas de funciones base truncadas

  • Inmaculada Pérez-Bernabé
  • Antonio Salmerón Cerdán
  • Helge Langseth

2015

Número de citas: 0 (Dialnet)
  • Dialnet

Bayesian networks in reliability: The good, the bad, and the ugly

  • Langseth H.

Advances in Mathematical Modeling for Reliability - 1/5/2008

Número de citas: 14 (Scopus)

Applications of Bayesian networks in reliability analysis

  • Langseth H.
  • Portinale L.

Bayesian Network Technologies: Applications and Graphical Models - 1/12/2007

10.4018/978-1-59904-141-4.ch005

Número de citas: 8 (Scopus)

STATISTICAL MODELING AND INFERENCE FOR COMPONENT FAILURE TIMES UNDER PREVENTIVE MAINTENANCE AND INDEPENDENT CENSORING

  • Lindqvist B.H.
  • Langseth H.

Series on Quality, Reliability and Engineering Statistics Vol. 10: Modern Statistical and Mathematical Methods in Reliability - 1/1/2005

10.1142/9789812703378_0023

Número de citas: 3 (Scopus)
Open Access

Opt-in Transparent Fairness for Recommender Systems

  • Bjørnar Vassøy
  • Benjamin Kille
  • Helge Langseth

Lecture Notes in Computer Science - 1/1/2025

10.1007/978-3-031-88708-6_23

Número de citas: 0 (Scopus)
Open Access

A Divide and Conquer Approach for Solving Structural Causal Models

  • Bjøru, Anna Rodum
  • Cabañas De Paz, Rafael
  • Langseth, Helge
  • Salmerón Cerdán, Antonio

INTERNATIONAL CONFERENCE ON PROBABILISTIC GRAPHICAL MODELS - 2024

Número de citas: 1 (Web of Science) 1 (Scopus)

mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites

  • Baumgartner D.
  • Langseth H.
  • Ramampiaro H.
  • Engo-Monsen K.

Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023 - 1/1/2023

10.1109/bigdata59044.2023.10386980

Número de citas: 1 (Scopus)
Open Access

Bayesian Exploration in Deep Reinforcement Learning

  • Killingberg L.
  • Langseth H.

CEUR Workshop Proceedings - 1/1/2023

Número de citas: 0 (Scopus)

ASAP: Attention-Based State Space Abstraction for Policy Summarization

  • Bekkemoen Y.
  • Langseth H.

Proceedings of Machine Learning Research - 1/1/2023

Número de citas: 1 (Scopus)
Open Access

Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders

  • Bjørnar Vassøy
  • Helge Langseth
  • Benjamin Kille

PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023 - 14/09/2023

10.1145/3604915.3608842

Número de citas: 4 (Web of Science) 4 (Scopus)
Open Access

On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness

  • Odd Erik Gundersen
  • Saeid Shamsaliei
  • Håkon Sletten Kjærnli
  • Helge Langseth

PROCEEDINGS OF THE 1ST ACM CONFERENCE ON REPRODUCIBILITY AND REPLICABILITY, REP'23 - 27/06/2023

10.1145/3589806.3600044

Número de citas: 3 (Web of Science) 5 (Scopus)
Open Access

Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches

  • Tiwari, Shweta
  • Bell, Gavin
  • Langseth, Helge
  • Ramampiaro, Heri
  • Rocha, AP
  • Steels, L
  • VandenHerik, J
... Ver más Contraer

ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3 - 1/1/2022

10.5220/0010991800003116

Número de citas: 0 (Web of Science) 1 (Scopus)

Comparative study of event prediction in power grids using supervised machine learning methods

  • Hoiem K.W.
  • Santi V.
  • Torsater B.N.
  • Langseth H.
  • Andresen C.A.
  • Rosenlund G.H.

SEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies - 1/9/2020

10.1109/sest48500.2020.9203025

Número de citas: 5 (Scopus)

Prediction intervals: Split normal mixture from quality-driven deep ensembles

  • Salem T.S.
  • Langseth H.
  • Ramampiaro H.

Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence, UAI 2020 - 1/1/2020

Número de citas: 14 (Scopus)

Este autor no tiene patentes.

Este autor no tiene informes ni otros tipos de publicaciones.

Scopus: 21

Web of Science: 12

Scopus: 43

Web of Science: 19

Última actualización de los datos: 12/05/25 9:41
Próxima recolección programada: 17/05/25 3:00