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
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)
- JCR 5-year Impact Factor: 3.7
- JCR Categories: ENGINEERING, ELECTRICAL & ELECTRONIC
- Scopus
- ORCID
- 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 (2020)
- SJR: 0.468 (2020
- SNIP: 1.059 (2020
- JCR 5-year Impact Factor: 2.642
- JCR Categories: PHYSICS, MULTIDISCIPLINARY
- Scopus
- ORCID
- OAI-PMH
- 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: 3.4 (2020)
- SJR: 0.322 (2020
- SNIP: 0.746 (2020
- SJR Categories: Artificial Intelligence (Q2)
- Scopus
- ORCID
- Web of Science
Variational Inference over Nonstationary Data Streams for Exponential Family Models †
- Andrés R. Masegosa
- Darío Ramos-López
- Antonio Salmerón
- Helge Langseth
- Thomas D. Nielsen
MATHEMATICS - 3/11/2020
- JCR Quartile: Q1 (2020)
- JCR Impact Factor: 2.258 (2023)
- Category normalized Impact: 1.811 (2020)
- JCR 5-year Impact Factor: 2.165
- JCR Categories: MATHEMATICS
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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
MPE Inference in Conditional Linear Gaussian Networks
- Salmerón A.
- Rumí R.
- Langseth H.
- Madsen A.
- Nielsen T.
Symbolic and Quantitative Approaches To Reasoning With Uncertainty, Ecsqaru 2015 - 1/1/2015
- CiteScore: 1.8 (2020)
- SJR: 0.369 (2015
- SNIP: 0.708 (2015
Bayesian networks in reliability: The good, the bad, and the ugly
- Langseth H.
Advances in Mathematical Modeling for Reliability - 1/5/2008
Bayesian Exploration in Deep Reinforcement Learning
- Killingberg L.
- Langseth H.
CEUR Workshop Proceedings - 1/1/2023
- CiteScore: 1.1 (2022)
- SJR: 0.202 (2022
- SNIP: 0.223 (2022
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
- Scopus
- ORCID
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
- Scopus
- ORCID
- 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 - 2022
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
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
Forecasting intra-hour imbalances in electric power systems
- Salem T.S.
- Kathuria K.
- Ramampiaro H.
- Langseth H.
33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 - 1/1/2019
Understanding and improving recurrent networks for human activity recognition by continuous attention
Proceedings - International Symposium on Wearable Computers, ISWC - 8/10/2018
- SJR Categories: Computer Networks and Communications; Engineering (miscellaneous); Hardware and Architecture; Software
Inter-session modeling for session-based recommendation
- Ruocco M.
- Skrede O.
- Langseth H.
ACM International Conference Proceeding Series - 27/8/2017
- SJR Categories: Ocean Engineering
Data driven case base construction for prediction of success of marine operations
- Mathisen B.
- Aamodt A.
- Langseth H.
CEUR Workshop Proceedings - 1/1/2017
- CiteScore: 0.8 (2020)
- SJR: 0.167 (2017
- SNIP: 0.346 (2017
- SJR Categories: Computer Science (miscellaneous)
This author has no patents.
A Divide and Conquer Approach for Solving Structural Causal Models
- Bjøru, Anna Rodum
- Cabañas De Paz, Rafael
- Langseth, Helge
- Salmerón Cerdán, Antonio
12th International Conference on Probabilistic Graphical Models (PGM'2024) - 2024
h index
Scopus: 18
Web of Science: 12
i10 index
Scopus: 33
Web of Science: 18
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, 2026Funded by: Ministerio de Ciencia e InnovaciónFunding / grant amount: 150,125.00 EURRole: Equipo de trabajo
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Acronym TIN2016-77902-C3-3-PSince: December 30, 2016Until: December 29, 2019Funded by: Ministerio de Economía, Industria y CompetitividadFunding / grant amount: 143,506.00 EURRole: Equipo de trabajo
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Acronym TIN2010-20900-C04-02Since: January 1, 2011Until: December 31, 2013Funded by: MECFunding / grant amount: 64,493.00 EURRole: Investigador