E-LIB Suche - Ergebnisse für: Jullum, Martin

1

A comparative study of methods for estimating model-agnosti..:

Olsen, Lars Henry Berge ; Glad, Ingrid Kristine ; Jullum, Martin.
Data Mining and Knowledge Discovery. , 2024

Link: https://doi.org/10.1007/..

2

MCCE: Monte Carlo sampling of valid and realistic counterfa..:

Redelmeier, Annabelle ; Jullum, Martin ; Aas, Kjersti.
Data Mining and Knowledge Discovery. , 2024

Link: https://doi.org/10.1007/..

3

Some recent trends in embeddings of time series and dynamic..:

Tjøstheim, Dag ; Jullum, Martin ; Løland, Anders
Journal of Time Series Analysis. 44 (2023) 5-6 - p. 686-709 , 2023

Link: https://doi.org/10.1111/..

4

Comparison of Contextual Importance and Utility with LIME a..:

, In: Explainable and Transparent AI and Multi-Agent Systems; Lecture Notes in Computer Science,

Främling, Kary ; Westberg, Marcus ; Jullum, Martin.. - p. 39-54 , 2021

Link: https://doi.org/10.1007/..

5

Explaining predictive models using Shapley values and non-p..:

Aas, Kjersti ; Nagler, Thomas ; Jullum, Martin.
Dependence Modeling. 9 (2021) 1 - p. 62-81 , 2021

Link: https://doi.org/10.1515/..

6

Explaining individual predictions when features are depende..:

Aas, Kjersti ; Jullum, Martin ; Løland, Anders
Artificial Intelligence. 298 (2021) - p. 103502 , 2021

Link: https://doi.org/10.1016/..

7

Investigating mesh‐based approximation methods for the norm..:

Jullum, Martin
Stat. 9 (2020) 1 - p. , 2020

Link: https://doi.org/10.1002/..

8

Estimating Seal Pup Production in The Greenland Sea by Usin..:

Jullum, Martin ; Thorarinsdottir, Thordis ; Bachl, Fabian E.
Journal of the Royal Statistical Society Series C: Applied Statistics. 69 (2020) 2 - p. 327-352 , 2020

Link: https://doi.org/10.1111/..

9

Explaining Predictive Models with Mixed Features Using Shap..:

, In: Lecture Notes in Computer Science; Machine Learning and Knowledge Extraction,

Redelmeier, Annabelle ; Jullum, Martin ; Aas, Kjersti - p. 117-137 , 2020

Link: https://doi.org/10.1007/..

10

Pairwise local Fisher and naive Bayes: Improving two standa..:

Otneim, Håkon ; Jullum, Martin ; Tjøstheim, Dag
Journal of Econometrics. 216 (2020) 1 - p. 284-304 , 2020

Link: https://doi.org/10.1016/..

11

Detecting money laundering transactions with machine learni..:

Jullum, Martin ; Løland, Anders ; Huseby, Ragnar Bang..
Journal of Money Laundering Control. 23 (2020) 1 - p. 173-186 , 2020

Link: https://doi.org/10.1108/..

12

shapr: An R-package for explaining machine learning models ..:

Sellereite, Nikolai ; Jullum, Martin
Journal of Open Source Software. 5 (2019) 46 - p. 2027 , 2019

Link: https://doi.org/10.21105..

13

What price semiparametric Cox regression?:

Jullum, Martin ; Hjort, Nils Lid
Lifetime Data Analysis. 25 (2018) 3 - p. 406-438 , 2018

Link: https://doi.org/10.1007/..

14

PARAMETRIC OR NONPARAMETRIC: THE FIC APPROACH:

Jullum, Martin ; Hjort, Nils Lid
Statistica Sinica. 27 (2017) 3 - p. 951-981 , 2017

Link: https://www.jstor.org/st..

15

Statistical Embedding: Beyond Principal Components:

Tjøstheim, Dag Bjarne ; Jullum, Martin ; Løland, Anders
Norges forskningsråd: 237718. , 2023

Link: https://hdl.handle.net/1..