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

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

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

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

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

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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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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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What predicts citation counts and translational impact in headache research? A machine learning analysis von Danelakis, Antonios, Langseth, Helge, Nachev, Parashkev, Nelson, Amy, Bjørk, Marte-Helene, Matharu, Manjit S., Tronvik, Erling, May, Arne, Stubberud, Anker

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A Review of Inference Algorithms for Hybrid Bayesian Networks von Salmerón, Antonio, Rumí, Rafael, Langseth, Helge, Nielsen, Thomas D., Madsen, Anders L.

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