Articles with public access mandates - Helge LangsethLearn more
Not available anywhere: 1
mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites
D Baumgartner, H Langseth, H Ramampiaro, K Engø-Monsen
2023 IEEE International Conference on Big Data (BigData), 588-597, 2023
Mandates: Science Foundation Ireland, Research Council of Norway
Available somewhere: 23
Understanding and improving recurrent networks for human activity recognition by continuous attention
M Zeng, H Gao, T Yu, OJ Mengshoel, H Langseth, I Lane, X Liu
Proceedings of the 2018 ACM international symposium on wearable computers, 56-63, 2018
Mandates: US National Science Foundation
Mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 53 (2), 212-227, 2012
Mandates: Government of Spain
Learning similarity measures from data
BM Mathisen, A Aamodt, K Bach, H Langseth
Progress in Artificial Intelligence 9 (2), 129-143, 2020
Mandates: Research Council of Norway
Review of Inference Algorithms for Hybrid Bayesian Networks
A Salmerón, R Rumí, H Langseth, TD Nielsen, AL Madsen
Journal of Artificial Intelligence Research 63, 799-828, 2018
Mandates: Government of Spain
Forecasting intra-hour imbalances in electric power systems
TS Salem, K Kathuria, H Ramampiaro, H Langseth
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9595-9600, 2019
Mandates: Research Council of Norway
Learning mixtures of truncated basis functions from data
H Langseth, TD Nielsen, I Pérez-Bernabé, A Salmerón
International Journal of Approximate Reasoning 55 (4), 940-956, 2014
Mandates: Government of Spain
Bayesian models of data streams with hierarchical power priors
A Masegosa, TD Nielsen, H Langseth, D Ramos-López, A Salmerón, ...
International conference on machine learning, 2334-2343, 2017
Mandates: Government of Spain
Analyzing concept drift: A case study in the financial sector
AR Masegosa, AM Martínez, D Ramos-López, H Langseth, TD Nielsen, ...
Intelligent Data Analysis 24 (3), 665-688, 2020
Mandates: Government of Spain
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks
D Ramos-López, AR Masegosa, A Salmerón, R Rumí, H Langseth, ...
International Journal of Approximate Reasoning 100, 115-134, 2018
Mandates: Government of Spain
Scaling up Bayesian variational inference using distributed computing clusters
AR Masegosa, AM Martinez, H Langseth, TD Nielsen, A Salmerón, ...
International Journal of Approximate Reasoning 88, 435-451, 2017
Mandates: Government of Spain
Inference in hybrid Bayesian networks with mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
Sixth European Workshop on Probabilistic Graphical Models, 171-178, 2012
Mandates: Government of Spain
Variational inference over nonstationary data streams for exponential family models
AR Masegosa, D Ramos-López, A Salmerón, H Langseth, TD Nielsen
Mathematics 8 (11), 1942, 2020
Mandates: Government of Spain
Probabilistic models with deep neural networks
AR Masegosa, R Cabañas, H Langseth, TD Nielsen, A Salmerón
Entropy 23 (1), 117, 2021
Mandates: Government of Spain
Comparative study of event prediction in power grids using supervised machine learning methods
KW Høiem, V Santi, BN Torsæter, H Langseth, CA Andresen, ...
2020 International Conference on Smart Energy Systems and Technologies (SEST …, 2020
Mandates: Research Council of Norway
MAP inference in dynamic hybrid Bayesian networks
D Ramos-López, AR Masegosa, AM Martínez, A Salmerón, TD Nielsen, ...
Progress in Artificial Intelligence 6, 133-144, 2017
Mandates: Government of Spain
Application of data-driven models in the analysis of marine power systems
A Swider, H Langseth, E Pedersen
Applied Ocean Research 92, 101934, 2019
Mandates: Research Council of Norway
Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation
B Vassøy, H Langseth
Artificial Intelligence Review 57 (4), 101, 2024
Mandates: Science Foundation Ireland, Research Council of Norway
What predicts citation counts and translational impact in headache research? A machine learning analysis
A Danelakis, H Langseth, P Nachev, A Nelson, MH Bjørk, MS Matharu, ...
Cephalalgia 44 (5), 03331024241251488, 2024
Mandates: National Institute for Health Research, UK, Wellcome Trust, Research Council …
Applying Bayesian optimization to predict parameters in a time-domain model for cross-flow vortex-induced vibrations
ML Andersen, S Sævik, J Wu, BJ Leira, H Langseth
Marine Structures 94, 103571, 2024
Mandates: Research Council of Norway
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