Zobrazeno 1 - 10
of 1 163
pro vyhledávání: '"Vildé, A."'
Autor:
García-Torres, Jorge, Meinich-Bache, Øyvind, Johannessen, Anders, Rettedal, Siren, Kolstad, Vilde, Engan, Kjersti
Around 5-10\% of newborns need assistance to start breathing. Currently, there is a lack of evidence-based research, objective data collection, and opportunities for learning from real newborn resuscitation emergency events. Generating and evaluating
Externí odkaz:
http://arxiv.org/abs/2410.10483
Publikováno v:
In Biological Psychiatry Global Open Science November 2024 4(6)
Although many machine learning methods, especially from the field of deep learning, have been instrumental in addressing challenges within robotic applications, we cannot take full advantage of such methods before these can provide performance and sa
Externí odkaz:
http://arxiv.org/abs/2212.04212
Deep reinforcement learning has led to numerous notable results in robotics. However, deep neural networks (DNNs) are unintuitive, which makes it difficult to understand their predictions and strongly limits their potential for real-world application
Externí odkaz:
http://arxiv.org/abs/2203.00369
Deep neural networks (DNNs) can be useful within the marine robotics field, but their utility value is restricted by their black-box nature. Explainable artificial intelligence methods attempt to understand how such black-boxes make their decisions.
Externí odkaz:
http://arxiv.org/abs/2203.00368
Autor:
Aarflot, Johanna M., Bjørdal, Vilde R., Dunlop, Katherine M., Espinasse, Marina, Husson, Bérengère, Lindstrøm, Ulf, Keulder-Stenevik, Felicia, Ono, Kotaro, Siwertsson, Anna, Skern-Mauritzen, Mette
Publikováno v:
In Ocean and Coastal Management 1 October 2024 256
Autor:
Haarr, Marthe Larsen, Rydsaa, Johanne, Pires, Rui, Espenes, Håvard, Hermansen, Stine, Ghaffari, Peygham, Solbakken, Vilde Sørnes
Publikováno v:
In Marine Pollution Bulletin September 2024 206
Autor:
Galgani, Francois, Lusher, Amy L., Strand, Jakob, Haarr, Marthe Larsen, Vinci, Matteo, Molina Jack, Eugenia, Kagi, Ralf, Aliani, Stefano, Herzke, Dorte, Nikiforov, Vladimir, Primpke, Sebastian, Schmidt, Natascha, Fabres, Joan, De Witte, Bavo, Solbakken, Vilde Sørnes, van Bavel, Bert
Publikováno v:
In Ocean and Coastal Management 1 September 2024 255
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 2022
This paper presents a novel probabilistic forecasting method called ensemble conformalized quantile regression (EnCQR). EnCQR constructs distribution-free and approximately marginally valid prediction intervals (PIs), which are suitable for nonstatio
Externí odkaz:
http://arxiv.org/abs/2202.08756
Autor:
Haarr, Marthe Larsen, Pires, Rui, Solbakken, Vilde Sørnes, Fylakis, Georgios, Westerveld, Levi, Falk-Andersson, Jannike, Gavrilo, Maria, Bambulyak, Alexei, Camus, Lionel
Publikováno v:
In Marine Pollution Bulletin December 2024 209 Part B