Publikasjoner

Nikolai Sellereite; Anders Løland; Så stor er sjansen for opprykksjubel i Stjørdal: – Helt uvirkelig at de fortsatt er i toppen , 2019. Intervju

«Det er algoritmens feil» – greit? vol. 130, pp. 35 35 , 2019. Kronikk

Gir klikkstrømdata bedre innsikt i besøkendes behov? 2019. Vitenskapelig foredrag

Automated acoustic data processing with deep learning 2019. Faglig foredrag

Pulmonary vascular disease is evident in gene regulation of experimental bronchopulmonary dysplasia Journal of Maternal-Fetal & Neonatal Medicine, (ISSN 1476-7058 1476-4954 ), doi: https://doi.org/10.1080/14767058.2018.1541081 , 2019. Vitenskapelig artikkel

Applying deep learning to non-standard image data - a case study on marine acoustics 2019. Vitenskapelig foredrag

Research commercialization and entrepreneurship for female researchers in the academic and industrial area, Women Researchers in Informatics (WRI). Time and place: Nov. 19, 2019 1:00 PM – 2:40 PM, Ole-Johan Dahls hus 2019. Faglig foredrag

Kjersti Aas; Martin Jullum; Anders Løland; Shapley explanations using conditional inference trees 2019. Rapport

Measuring the strength of the theories of government size Empirical Economics, pp. 1 38 , (ISSN 0377-7332 1435-8921 ), doi: https://doi.org/10.1007/s00181-019-01718-0 , 2019. Vitenskapelig artikkel

Serum Potassium Is Associated with Cognitive Decline in Patients with Lewy Body Dementia Journal of Alzheimer's Disease, vol. 68, pp. 239 253 , (ISSN 1387-2877 1875-8908 ), doi: https://doi.org/10.3233/JAD-181131 , 2019. Vitenskapelig artikkel

Raising Awareness for Universal Design by Integrating Accessibility Testing into a Continuous-Deployment Process: A Large-Company Case Study NOKOBIT: Norsk konferanse for organisasjoners bruk av informasjonsteknologi, vol. 27, (ISSN 1892-0748 1894-7719 ), , 2019. Vitenskapelig artikkel

Evaluating accessibility testing in automated software build processes NIKT: Norsk IKT-konferanse for forskning og utdanning, (ISSN 1892-0713 1892-0721 ), , 2019. Vitenskapelig artikkel

PCube+ principles 2019. Faglig foredrag

PCube+ principles 2019. Faglig foredrag

Parameter estimation of multivariate factor stochastic volatility models 2019. Faglig foredrag

Hvordan bruke statistisk modellering til å forutsi hvilke bedrifter som går konkurs 2019. Faglig foredrag

Automated acoustic data processing with deep learning 2019. Vitenskapelig foredrag

Line Eikvil; Marit Holden; Deep learning for ultrasound images - next steps 2019. Rapport

Filippo Maria Bianchi; Lorenzo Livi; Karl Øyvind Mikalsen; Michael C. Kampffmeyer; Robert Jenssen; Learning representations of multivariate time series with missing data Pattern Recognition, vol. 96:106973, pp. 1 11 , (ISSN 0031-3203 1873-5142 ), doi: https://doi.org/10.1016/j.patcog.2019.106973 , 2019. Vitenskapelig artikkel

Michael C. Kampffmeyer; Sigurd Løkse; Filippo Maria Bianchi; Lorenzo Livi; Arnt Børre Salberg; et al. Deep divergence-based approach to clustering Neural Networks, vol. 113, pp. 91 101 , (ISSN 0893-6080 1879-2782 ), doi: https://doi.org/10.1016/j.neunet.2019.01.015 , 2019. Vitenskapelig artikkel