Cristin-person-ID: 11005
Person

Kristin Tøndel

  • Stilling:
    Professor
    ved Institutt for datavitenskap ved Norges miljø- og biovitenskapelige universitet

Resultater Resultater

Increased interpretation of deep learning models using hierarchical cluster-based modelling.

Gjelsvik, Elise Lunde; Tøndel, Kristin. 2023, PLOS ONE. NMBUVitenskapelig artikkel

Metamodelling of a two-population spiking neural network.

Skaar, Jan-Eirik Welle; Haug, Nicolai; Stasik, Alexander Johannes; Einevoll, Gaute; Tøndel, Kristin. 2023, PLoS Computational Biology. NMBU, UIOVitenskapelig artikkel

Infrared Diffraction Microtomography of Biological Cells by Solving the Inverse Scattering Problem .

Magnussen, Eirik Almklov; Zimmermann, Boris; Blazhko, Uladzislau; Dzurendová, Simona; Byrtusova, Dana; Dupuy--Galet, Benjamin Xavier; Tafintseva, Valeria; Liland, Kristian Hovde; Tøndel, Kristin; Shapaval, Volha mfl.. 2023, International Conference on Advanced Vibrational Spectrocsopy. NMBUVitenskapelig foredrag

Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared Spectroscopy Data.

Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Liland, Kristian Hovde; Tøndel, Kristin. 2023, Applied Spectroscopy. SINTEF, NMBUVitenskapelig artikkel

Exploring the possibilities of a regression model for the prediction of wetting index from crude oils.

Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Liland, Kristian Hovde; Tøndel, Kristin. 2023, Oil Field Chemistry Symposium 2023. NMBU, SINTEFVitenskapelig foredrag
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