Langseth, Helge Author
Artificial intelligence and headache
- Stubberud A.
- Langseth H.
- Nachev P.
- Matharu M.S.
- Tronvik E.
Cephalalgia - 1/8/2024
- CiteScore: 10.1 (2023)
- SJR: 1.382 (2023
- SNIP: 1.413 (2023
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.
Cephalalgia - 1/5/2024
- CiteScore: 10.1 (2023)
- SJR: 1.382 (2023
- SNIP: 1.413 (2023
Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation
- Vassøy B.
- Langseth H.
Artificial Intelligence Review - 1/4/2024
- CiteScore: 22 (2023)
- SJR: 3.26 (2023
- SNIP: 5.068 (2023
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
- CiteScore: 8.7 (2023)
- SJR: 1.117 (2023
- SNIP: 1.973 (2023
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
- CiteScore: 8.7 (2023)
- SJR: 1.184 (2023
- SNIP: 1.718 (2023
The Multiquadric Kernel for Moment-Matching Distributional Reinforcement Learning
- Killingberg L.
- Langseth H.
Transactions on Machine Learning Research - 1/8/2023
Deep Contextual Grid Triplet Network for Context-Aware Recommendation
- Sofia Aftab
- Heri Ramampiaro
- Helge Langseth
- Massimiliano Ruocco
IEEE ACCESS - 1/1/2023
- JCR Impact Factor: 3.4 (2023)
- CiteScore: 9.8 (2023)
- SJR: 0.96 (2023
- SNIP: 1.44 (2023
- JCR 5-year Impact Factor: 3.7
- JCR Categories: ENGINEERING, ELECTRICAL & ELECTRONIC
- ORCID
- Scopus
- Web of Science
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
- JCR Quartile: Q2 (2021)
- JCR Impact Factor: 2.738 (2023)
- Category normalized Impact: 0.1 (2021)
- CiteScore: 4.9 (2023)
- SJR: 0.553 (2021
- SNIP: 1.083 (2021
- JCR 5-year Impact Factor: 2.642
- JCR Categories: PHYSICS, MULTIDISCIPLINARY
- ORCID
- OAI-PMH
- Scopus
- Web of Science
Machine Learning in Financial Market Surveillance: A Survey
- Tiwari S.
- Ramampiaro H.
- Langseth H.
IEEE Access - 1/1/2021
- JCR Impact Factor: 3.476 (2021)
- JCR 5-year Impact Factor: 3.758
- JCR Categories: COMPUTER SCIENCE, INFORMATION SYSTEMS
Learning similarity measures from data
- Mathisen B.
- Aamodt A.
- Bach K.
- Langseth H.
PROGRESS IN ARTIFICIAL INTELLIGENCE - 1/6/2020
- SJR Quartile: Q2
- CiteScore: 9.7 (2023)
- SJR: 0.322 (2020
- SNIP: 0.718 (2020
- SJR Categories: Artificial Intelligence (Q2)
- ORCID
- Scopus
- Web of Science
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
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
- Dialnet
Bayesian networks in reliability: The good, the bad, and the ugly
- Langseth H.
Advances in Mathematical Modeling for Reliability - 1/5/2008
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
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
Opt-in Transparent Fairness for Recommender Systems
- Bjørnar Vassøy
- Benjamin Kille
- Helge Langseth
Lecture Notes in Computer Science - 1/1/2025
- CiteScore: 2.6 (2023)
- SJR: 0.606 (2023
- SNIP: 0.59 (2023
- Scopus
- ORCID
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 - 1/1/2024
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
Bayesian Exploration in Deep Reinforcement Learning
- Killingberg L.
- Langseth H.
CEUR Workshop Proceedings - 1/1/2023
- CiteScore: 1.1 (2023)
- SJR: 0.191 (2023
- SNIP: 0.235 (2023
ASAP: Attention-Based State Space Abstraction for Policy Summarization
- Bekkemoen Y.
- Langseth H.
Proceedings of Machine Learning Research - 1/1/2023
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
- ORCID
- Web of Science
- Scopus
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
- ORCID
- Scopus
- Web of Science
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
ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3 - 1/1/2022
- CiteScore: 0.6 (2023)
- SNIP: 0.568 (2022
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
- Antonio Salmerón
- Helge Langseth
- Andres Masegosa
- Thomas Dyhre Nielsen
Proceedings of Machine Learning Research - 1/1/2022
- ORCID
- 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
This author has no patents.
This author has no reports or other types of publications.
h index
Scopus: 21
Web of Science: 12
i10 index
Scopus: 44
Web of Science: 19
Author profiles
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ORCID
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Scopus Author ID
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Dialnet id
Research projects at UAL
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Acronym PID2022-139293NB-C31Since: September 1, 2023Until: August 31, 2026Funding / grant amount: 120,100.00 EURRole: Equipo de trabajo
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Acronym TIN2016-77902-C3-3-PSince: December 30, 2016Until: December 29, 2019Funding / grant amount: 143,506.00 EURRole: Equipo de trabajo
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Acronym TIN2010-20900-C04-02Since: January 1, 2011Until: December 31, 2013Funding / grant amount: 64,493.00 EURRole: Investigador