Publikasjoner

Line Eikvil; Marit Holden; Alba Ordonez; Machine learning for image-based interpretation of non-verbal communication 2021. Rapport

Danielle Barna; Kolbjørn Engeland; Thordis Linda Thorarinsdottir; Chong-Yu Xu; A Bayesian approach to Flood-Duration-Analysis 2021. Vitenskapelig foredrag

Ijlal Loutfi; End-to-End Encrypted Machine Learning 2021. Rapport

Øivind Due Trier; Presentasjon fra prosjektet om inngrepsfri natur og deteksjon av kulturminner 2021. Vitenskapelig foredrag

Charlotte Juliette Sanchis; Ragnar Hauge; Unknown predictions in PCube+ 2021. Rapport

Charlotte Juliette Sanchis; Ragnar Hauge; PCube+: Likelihood approximation outside the window and range spanning 2021. Rapport

Charlotte Juliette Sanchis; Ragnar Hauge; Focused inversion likelihood analysis 2021. Rapport

Carl-Inge Colombo Nilsen; Ragnar Hauge; Heidi Kjønsberg; Improved Monitor Continuity in PCube+ 4D 2021. Rapport

Heidi Kjønsberg; Ragnar Hauge; Torstein Mæland Fjeldstad; Carl-Inge Colombo Nilsen; Edvard Grieg 4D inversion results 2021. Rapport

Rune Solberg; Arnt Børre Salberg; Jarle Hamar Reksten; A new climate snow cover record based on ATSR-2 and AATSR 2021. Vitenskapelig foredrag

Rune Solberg; Øystein Rudjord; Arnt Børre Salberg; Jarle Hamar Reksten; Mari Anne Killie; et al. Development of a new 38-year time series of daily, global fractional snow cover products based on fusion of optical and passive microwave radiometer data 2021. Vitenskapelig foredrag

Rune Solberg; Jarle Hamar Reksten; Øivind Due Trier; Anders U. Waldeland; Kjetil Meldvold; et al. Utvikling av operasjonell snøtjeneste ved NVE. Resultater fra prosjektfase 3 2021. Rapport

Rune Solberg; Jarle Hamar Reksten; Anders U. Waldeland; Arnt Børre Salberg; Snow Product User Guide. AI4Arctic guide to snow products V1 2021. Rapport

Rune Solberg; Arnt Børre Salberg; Anders U. Waldeland; Jarle Hamar Reksten; Øivind Due Trier; et al. Final report. AI4Arctic Deliverable 6 2021. Rapport

Martin Jullum; Annabelle Alice Redelmeier; Kjersti Aas; groupShapley: Efficient prediction explanation with Shapley values for feature groups , 2021. Rapport

Kary Främling; Marcus Westberg; Martin Jullum; Manik Madhikermi; Avleen Kaur Malhi; Comparison of Contextual Importance and Utility with LIME and Shapley Values Lecture Notes in Computer Science (LNCS), vol. 12688, pp. 39 54 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-030-82017-6_3 , 2021. Vitenskapelig artikkel

Martin Jullum; Annabelle Alice Redelmeier; Kjersti Aas; Efficient and simple prediction explanations with groupShapley: A practical perspective 2021. Vitenskapelig foredrag

Martin Jullum; Annabelle Alice Redelmeier; Kjersti Aas; Efficient Shapley value explanations through feature groups 2021. Vitenskapelig foredrag

Martin Jullum; Kjersti Aas; Anders Løland; Explaining individual predictions when features are dependent: More accurate approximations to Shapley values 2021. Vitenskapelig foredrag

Martin Jullum; Annabelle Alice Redelmeier; Kjersti Aas; Efficient and simple prediction explanations with groupShapley: A practical perspective CEUR Workshop Proceedings, vol. 3014, pp. 15 , (ISSN 1613-0073 1613-0073 ), , 2021. Vitenskapelig artikkel