Effective hate-speech detection in Twitter data using recurrent neural networks von Pitsilis, Georgios K., Ramampiaro, Heri, Langseth, Helge

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Learning similarity measures from data von Mathisen, Bjørn Magnus, Aamodt, Agnar, Bach, Kerstin, Langseth, Helge

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Deep Contextual Grid Triplet Network for Context-Aware Recommendation von Aftab, Sofia, Ramampiaro, Heri, Langseth, Helge, Ruocco, Massimiliano

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Machine Learning in Financial Market Surveillance: A Survey von Tiwari, Shweta, Ramampiaro, Heri, Langseth, Helge

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Bayesian networks in reliability von Langseth, Helge, Portinale, Luigi

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A deep network model for paraphrase detection in short text messages von Agarwal, Basant, Ramampiaro, Heri, Langseth, Helge, Ruocco, Massimiliano

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Probabilistic Models with Deep Neural Networks von Masegosa, Andrés R, Cabañas, Rafael, Langseth, Helge, Nielsen, Thomas D, Salmerón, Antonio

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Artificial intelligence and headache von Stubberud, Anker, Langseth, Helge, Nachev, Parashkev, Matharu, Manjit S., Tronvik, Erling

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Variational Inference over Nonstationary Data Streams for Exponential Family Models von Masegosa, Andrés R., Ramos-López, Darío, Salmerón, Antonio, Langseth, Helge, Nielsen, Thomas D.

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Classification using hierarchical naive bayes models von LANGSETH, Helge, NIELSEN, Thomas D

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Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation von Vassøy, Bjørnar, Langseth, Helge

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Short-Term Load Forecasting With Seasonal Decomposition Using Evolution for Parameter Tuning von Hoverstad, Boye A., Tidemann, Axel, Langseth, Helge, Ozturk, Pinar

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On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness von Gundersen, Odd Erik, Shamsaliei, Saeid, Kjærnli, Håkon Slåtten, Langseth, Helge

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Simulating Vortex-Induced Vibrations in Sheared Current by Using an Empirical Time-Domain Model with Adaptive Parameters von Andersen, Martin Lieberkind, Sævik, Svein, Wu, Jie, Leira, Bernt Johan, Langseth, Helge

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Applying Bayesian optimization to predict parameters in a time-domain model for cross-flow vortex-induced vibrations von Andersen, Martin Lieberkind, Sævik, Svein, Wu, Jie, Leira, Bernt Johan, Langseth, Helge

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Application of data-driven models in the analysis of marine power systems von Swider, Anna, Langseth, Helge, Pedersen, Eilif

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A latent model for collaborative filtering von Langseth, Helge, Nielsen, Thomas Dyhre

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Scalable learning of probabilistic latent models for collaborative filtering von Langseth, Helge, Nielsen, Thomas D.

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A parallel algorithm for Bayesian network structure learning from large data sets von Madsen, Anders L., Jensen, Frank, Salmerón, Antonio, Langseth, Helge, Nielsen, Thomas D.

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Comparative Study of Event Prediction in Power Grids using Supervised Machine Learning Methods von Høiem, Kristian Wang, Santi, Vemund Mehl, Torsæter, Bendik Nybakk, Langseth, Helge, Andresen, Christian Andre, Rosenlund, Gjert Hovland

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