Seniorforsker

Martin Jullum

Prosjekter

Bildet viser en grønn avfallscontainer med ulike avfallsmaterialet oppi containeren.
  • Maskinlæring

Smart avfallshåndtering med maskinlæring og radarsensorer (ReWaCC)

Publikasjoner

  • 84 publikasjoner funnet
  • Utgiver

Hva skjer når avfall møter algoritmer? , 2025. Programdeltagelse

AI/ML for 5G and Beyond Cybersecurity arXiv.org, (ISSN 2331-8422 ), doi: https://doi.org/10.48550/arXiv.2505.18402 , 2025. Vitenskapelig artikkel

MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data Data mining and knowledge discovery, pp. 1830 1861 , (ISSN 1384-5810 1573-756X ), doi: https://doi.org/10.1007/s10618-024-01017-y , 2024. Vitenskapelig artikkel

A comparative study of methods for estimating model-agnostic Shapley value explanations Data mining and knowledge discovery, vol. 38, pp. 1782 1829 , (ISSN 1384-5810 1573-756X ), doi: https://doi.org/10.1007/s10618-024-01016-z , 2024. Vitenskapelig artikkel

Introduction to XAI 2024. Faglig foredrag

More effective computation of Shapley values 2024. Vitenskapelig foredrag

Introduction to XAI 2024. Faglig foredrag

Olav Nikolai Risdal Breivik; Martin Jullum; Leveraging Norwegian Data to Improve Danish Insurance Risk Models NR-notat, 2024. Vitenskapelig artikkel

Utgiver Norsk Regnesentral

Some recent trends in embeddings of time series and dynamic networks Journal of Time Series Analysis, vol. 44, pp. 686 709 , (ISSN 0143-9782 1467-9892 ), doi: https://doi.org/10.1111/jtsa.12677 , 2023. Vitenskapelig artikkel

Statistical Embedding: Beyond Principal Components Statistical Science, vol. 38, pp. 411 439 , (ISSN 0883-4237 2168-8745 ), doi: https://doi.org/10.1214/22-STS881 , 2023. Vitenskapelig artikkel

Deteksjon av hvitvasking 2023. Faglig foredrag

eXplego: An interactive Tool that Helps you Select Appropriate XAI-methods for your Explainability Needs CEUR Workshop Proceedings, vol. 3554, pp. 146 151 , (ISSN 1613-0073 ), , 2023. Vitenskapelig artikkel

Saldoprognoser 2022. Rapport

Utgiver Norsk Regnesentral
Utgiver Norsk Regnesentral

Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Journal of machine learning research, vol. 23, pp. 1 51 , (ISSN 1532-4435 1533-7928 ), , 2022. Vitenskapelig artikkel

Prediction Explanation with Shapley values 2022. Vitenskapelig foredrag

Utgiver EXABEL

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

Efficient and simple prediction explanations with groupShapley: A practical perspective CEUR Workshop Proceedings, vol. 3014, (ISSN 1613-0073 ), , 2021. Vitenskapelig artikkel

Explaining individual predictions when features are dependent: More accurate approximations to Shapley values Artificial Intelligence, vol. 298, (ISSN 0004-3702 1872-7921 ), doi: https://doi.org/10.1016/j.artint.2021.103502 , 2021. Vitenskapelig artikkel

Explaining predictive models using Shapley values and non-parametric vine copulas Dependence Modeling, vol. 9, pp. 62 81 , (ISSN 2300-2298 ), doi: https://doi.org/10.1515/demo-2021-0103 , 2021. Vitenskapelig artikkel

shapr: An R-package for explaining machine learning models with dependence-aware Shapley values Journal of Open Source Software (JOSS), vol. 5, (ISSN 2475-9066 ), doi: https://doi.org/10.21105/joss.02027 , 2020. Vitenskapelig artikkel

Pairwise local Fisher and naive Bayes: Improving two standard discriminants Journal of Econometrics, vol. 216, pp. 284 304 , (ISSN 0304-4076 1872-6895 ), doi: https://doi.org/10.1016/j.jeconom.2020.01.019 , 2020. Vitenskapelig artikkel

Detecting money laundering transactions with machine learning Journal of Money Laundering Control, vol. 23, pp. 173 186 , (ISSN 1368-5201 1758-7808 ), doi: https://doi.org/10.1108/JMLC-07-2019-0055 , 2020. Vitenskapelig artikkel

Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 69, (ISSN 0035-9254 1467-9876 ), doi: https://doi.org/10.1111/rssc.12397 , 2020. Vitenskapelig artikkel

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

Utgiver Norsk Regnesentral

XGBoost - efficient tree boosting 2018. Faglig foredrag

Utgiver Norsk Regnesentral

Empirical likelihood 2016. Faglig foredrag

Bayesian AVO inversion to rock properties using a local neighborhood in a spatial prior model The Leading Edge, vol. 35, pp. 431 436 , (ISSN 1070-485X 1938-3789 ), doi: https://doi.org/10.1190/tle35050431.1 , 2016. Vitenskapelig artikkel

Estimating seal pup abundance with LGCP 2016. Vitenskapelig foredrag

A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties Geophysics, vol. 81, pp. R75 R87 , (ISSN 0016-8033 1942-2156 ), doi: https://doi.org/10.1190/GEO2015-0314.1 , 2015. Vitenskapelig artikkel

Strekker Laban seg litt lengre? Forskning.no, (ISSN 1891-635X 1891-6341 ), , 2011. Populærvitenskapelig artikkel

Utgiver Norsk Regnesentral
Utgiver Norsk Regnesentral