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Langseth, Helge Autor

AMIDST: A Java toolbox for scalable probabilistic machine learning

  • Masegosa A.
  • Martínez A.
  • Ramos-López D.
  • Cabañas R.
  • Salmerón A.
  • Langseth H.
  • Nielsen T.
  • Madsen A.
... Ver más Contraer

Knowledge-Based Systems - 1/01/2019

10.1016/j.knosys.2018.09.019

Número de citas: 7 (Web of Science) 7 (Scopus)
  • Cuartil JCR: Q1 (2019)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 5,921 (2022)
  • Impacto Normalizado por Categoría: 0,374 (2019)
  • CiteScore: 11,3 (2020)
  • SJR: 1,754 (2019)
  • SNIP: 2,828 (2019)
  • Impacto JCR a 5 años: 6,075
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
Open Access

A review of inference algorithms for hybrid Bayesian networks

  • Salmerón A.
  • Rumí R.
  • Langseth H.
  • Nielsen T.
  • Madsen A.

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH - 1/8/2018

10.1613/jair.1.11228

Número de citas: 17 (Web of Science) 16 (Scopus)
  • Cuartil JCR: Q3 (2018)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 1,82 (2022)
  • Impacto Normalizado por Categoría: 0,256 (2018)
  • CiteScore: 3,23 (2018)
  • SJR: 0,754 (2018)
  • SNIP: 2,084 (2018)
  • Impacto JCR a 5 años: 2,448
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Artificial Intelligence (Q1)

Effective hate-speech detection in Twitter data using recurrent neural networks

  • Pitsilis G.
  • Ramampiaro H.
  • Langseth H.

APPLIED INTELLIGENCE - 1/12/2018

10.1007/s10489-018-1242-y

Número de citas: 67 (Scopus)
  • Cuartil SJR: Q2
  • Factor Impacto JCR: 2,882 (2018)
  • CiteScore: 6,8 (2020)
  • SJR: 0,651 (2018)
  • SNIP: 1,585 (2018)
  • Impacto JCR a 5 años: 2,712
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Artificial Intelligence (Q2)

A deep network model for paraphrase detection in short text messages

  • Agarwal B.
  • Ramampiaro H.
  • Langseth H.
  • Ruocco M.

INFORMATION PROCESSING and MANAGEMENT - 1/11/2018

10.1016/j.ipm.2018.06.005

Número de citas: 55 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 3,892 (2018)
  • CiteScore: 8,6 (2020)
  • SJR: 1,043 (2018)
  • SNIP: 3,011 (2018)
  • Impacto JCR a 5 años: 3,295
  • Categorías JCR: INFORMATION SCIENCE & LIBRARY SCIENCE
  • Categorías SJR: Computer Science Applications (Q1); Information Systems (Q1); Library and Information Sciences (Q1); Management Science and Operations Research (Q1); Media Technology (Q1)
Open Access

Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks

  • Ramos-López D.
  • Masegosa A.
  • Salmerón A.
  • Rumí R.
  • Langseth H.
  • Nielsen T.
  • Madsen A.
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International Journal of Approximate Reasoning - 1/09/2018

10.1016/j.ijar.2018.06.004

Número de citas: 9 (Web of Science) 4 (Scopus)
  • Cuartil JCR: Q3 (2018)
  • Cuartil SJR: Q2
  • Factor Impacto JCR: 1,982 (2022)
  • Impacto Normalizado por Categoría: 0,402 (2018)
  • CiteScore: 7,1 (2020)
  • SJR: 0,606 (2018)
  • SNIP: 1,453 (2018)
  • Impacto JCR a 5 años: 2,2
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Applied Mathematics (Q2); Artificial Intelligence (Q2); Software (Q2); Theoretical Computer Science (Q2)

A parallel algorithm for Bayesian network structure learning from large data sets

  • Madsen A.
  • Jensen F.
  • Salmerón A.
  • Langseth H.
  • Nielsen T.

KNOWLEDGE-BASED SYSTEMS - 1/2/2017

10.1016/j.knosys.2016.07.031

Número de citas: 62 (Web of Science) 50 (Scopus)
  • Cuartil JCR: Q1 (2017)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 4,396 (2022)
  • Impacto Normalizado por Categoría: 2,246 (2017)
  • CiteScore: 11,3 (2020)
  • SJR: 1,378 (2017)
  • SNIP: 2,349 (2017)
  • Impacto JCR a 5 años: 4,514
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
Open Access

Scaling up Bayesian variational inference using distributed computing clusters

  • Masegosa A.
  • Martinez A.
  • Langseth H.
  • Nielsen T.
  • Salmerón A.
  • Ramos-López D.
  • Madsen A.
... Ver más Contraer

International Journal of Approximate Reasoning - 1/09/2017

10.1016/j.ijar.2017.06.010

Número de citas: 9 (Web of Science) 10 (Scopus)
  • Cuartil JCR: Q2 (2017)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 1,766 (2022)
  • Impacto Normalizado por Categoría: 0,343 (2017)
  • CiteScore: 7,1 (2020)
  • SJR: 0,866 (2017)
  • SNIP: 1,746 (2017)
  • Impacto JCR a 5 años: 2,504
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1); Applied Mathematics (Q2)
Open Access

MAP inference in dynamic hybrid Bayesian networks

  • Ramos-López D.
  • Masegosa A.
  • Martínez A.
  • Salmerón A.
  • Nielsen T.
  • Langseth H.
  • Madsen A.
... Ver más Contraer

Progress in Artificial Intelligence - 27/06/2017

10.1007/s13748-017-0115-7

Número de citas: 6 (Web of Science) 4 (Scopus)
  • Impacto Normalizado por Categoría: 0,228 (2017)
  • CiteScore: 3,4 (2020)
  • SNIP: 0,943 (2017)
  • Categorías SJR: Artificial Intelligence

Short-Term Load Forecasting With Seasonal Decomposition Using Evolution for Parameter Tuning

  • Hoverstad B.
  • Tidemann A.
  • Langseth H.
  • Ozturk P.

IEEE Transactions on Smart Grid - 1/7/2015

10.1109/tsg.2015.2395822

Número de citas: 51 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 3,19 (2015)
  • CiteScore: 19,6 (2020)
  • SJR: 3,424 (2015)
  • SNIP: 3,286 (2015)
  • Impacto JCR a 5 años: 5,104
  • Categorías JCR: ENGINEERING, ELECTRICAL & ELECTRONIC
  • Categorías SJR: Computer Science (miscellaneous) (Q1)

Scalable learning of probabilistic latent models for collaborative filtering

  • Langseth H.
  • Nielsen T.

Decision Support Systems - 1/6/2015

10.1016/j.dss.2015.03.006

Número de citas: 16 (Web of Science) 15 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 2,604 (2015)
  • CiteScore: 10,5 (2020)
  • SJR: 1,87 (2015)
  • SNIP: 2,284 (2015)
  • Impacto JCR a 5 años: 3,271
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Arts and Humanities (miscellaneous) (Q1); Developmental and Educational Psychology (Q1); Information Systems (Q1); Information Systems and Management (Q1); Management Information Systems (Q1)

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:
  • Dialnet

Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions

  • Langseth H.
  • Nielsen T.
  • Rumí R.
  • Salmerón A.

Proceedings of the Sixth European Workshop on Probabilistic Graphical Models - 1/12/2012

Número de citas: 11 (Scopus)
  • Categorías SJR: Statistics and Probability

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: 7 (Scopus)
Open Access

Bayesian Exploration in Deep Reinforcement Learning

  • Killingberg L.
  • Langseth H.

CEUR Workshop Proceedings - 1/1/2023

Número de citas:
  • 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

10.1145/3604915.3608842

Número de citas:

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 2023 - 27/06/2023

10.1145/3589806.3600044

Número de citas:

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

10.5220/0010991800003116

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: 2 (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: 1 (Scopus)

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

Número de citas: 4 (Scopus)

Understanding and improving recurrent networks for human activity recognition by continuous attention

  • Zeng M.
  • Gao H.
  • Yu T.
  • Mengshoel O.
  • Langseth H.
  • Lane I.
  • Liu X.
... Ver más Contraer

Proceedings - International Symposium on Wearable Computers, ISWC - 8/10/2018

10.1145/3267242.3267286

Número de citas: 54 (Scopus)
  • 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

10.1145/3125486.3125491

Número de citas: 25 (Scopus)
  • Categorías SJR: Ocean Engineering
Open Access

Data driven case base construction for prediction of success of marine operations

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

CEUR Workshop Proceedings - 1/1/2017

Número de citas: 1 (Scopus)
  • CiteScore: 0,8 (2020)
  • SJR: 0,167 (2017)
  • SNIP: 0,346 (2017)
  • Categorías SJR: Computer Science (miscellaneous)

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Este autor no tiene informes ni otros tipos de publicaciones.

Scopus: 18

Web of Science: 12

Scopus: 33

Web of Science: 13

Última actualización de los datos: 18/05/24 9:32
Próxima recolección programada: 25/05/24 3:00