Langseth, Helge Autor
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
- Factor Impacto JCR: 3,4 (2023)
- Impacto JCR a 5 años: 3,7
- Categorías JCR: 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
- Cuartil JCR: Q2 (2021)
- Factor Impacto JCR: 2,738 (2023)
- Impacto Normalizado por Categoría: 0,1 (2021)
- CiteScore: 4 (2020)
- SJR: 0,468 (2020)
- SNIP: 1,059 (2020)
- Impacto JCR a 5 años: 2,642
- Categorías JCR: 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
- Factor Impacto JCR: 3,476 (2021)
- Impacto JCR a 5 años: 3,758
- Categorías JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS
Learning similarity measures from data
- Mathisen B.
- Aamodt A.
- Bach K.
- Langseth H.
PROGRESS IN ARTIFICIAL INTELLIGENCE - 1/6/2020
- Cuartil SJR: Q2
- CiteScore: 3,4 (2020)
- SJR: 0,322 (2020)
- SNIP: 0,746 (2020)
- Categorías SJR: 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
- Cuartil JCR: Q1 (2020)
- Factor Impacto JCR: 2,258 (2023)
- Impacto Normalizado por Categoría: 1,811 (2020)
- Impacto JCR a 5 años: 2,165
- Categorías JCR: 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
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
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
- Categorías SJR: 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
- Categorías SJR: 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)
- Categorías SJR: Computer Science (miscellaneous)
Este autor no tiene patentes.
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
Índice h
Scopus: 18
Web of Science: 12
Índice i10
Scopus: 33
Web of Science: 18
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Proyectos de investigación en la UAL
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Acrónimo PID2022-139293NB-C31Desde: 1 de septiembre de 2023Hasta: 31 de agosto de 2026Financiado por: Ministerio de Ciencia e InnovaciónImporte de financiación: 150.125,00 EURRol: Equipo de trabajo
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Acrónimo TIN2016-77902-C3-3-PDesde: 30 de diciembre de 2016Hasta: 29 de diciembre de 2019Financiado por: Ministerio de Economía, Industria y CompetitividadImporte de financiación: 143.506,00 EURRol: Equipo de trabajo
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Acrónimo TIN2010-20900-C04-02Desde: 1 de enero de 2011Hasta: 31 de diciembre de 2013Financiado por: MECImporte de financiación: 64.493,00 EURRol: Investigador