Martin Jullum

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Publikasjoner:

54 treff i publikasjoner

Publikasjon

År

Kategori

Introduksjon til sentrale metoder i statistisk modellering og maskinlæring

Engebretsen, Solveig; Jullum, Martin; Løland, Anders

2023

Faglig foredrag

Some recent trends in embeddings of time series and dynamic networks

Tjøstheim, Dag Bjarne; Jullum, Martin; Løland, Anders

2023

Vitenskapelig artikkel

Saldoprognoser

Rognebakke, Hanne Therese Wist; Aas, Kjersti; Jullum, Martin

2022

Rapport

AI/ML for 5G and Beyond Cybersecurity

Pirbhulal, Sandeep; Abie, Habtamu; Jullum, Martin; Nielsen, Didrik; Løland, Anders

2022

Rapport

Statistical embedding: Beyond principal components

Tjøstheim, Dag Bjarne; Jullum, Martin; Løland, Anders

2022

Faglig foredrag

Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features

Olsen, Lars Henry Berge; Glad, Ingrid Kristine; Jullum, Martin; Aas, Kjersti

2022

Vitenskapelig artikkel

Prediction Explanation with Shapley values

Jullum, Martin

2022

Vitenskapelig foredrag

groupSHAP: Efficient Shapley value explanation through feature groups

Jullum, Martin

2021

Poster

Explaining individual predictions when features are dependent: More accurate approximations to Shapley values

Aas, Kjersti; Jullum, Martin; Løland, Anders

2021

Poster

Explaining predictive models using Shapley values and non-parametric vine copulas

Aas, Kjersti; Nagler, Thomas; Jullum, Martin; Løland, Anders

2021

Vitenskapelig artikkel

Explaining individual predictions when features are dependent: More accurate approximations to Shapley values

Aas, Kjersti; Jullum, Martin; Løland, Anders

2021

Vitenskapelig artikkel

Efficient and simple prediction explanations with groupShapley: A practical perspective

Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti

2021

Vitenskapelig artikkel

Comparison of Contextual Importance and Utility with LIME and Shapley Values

Främling, Kary; Westberg, Marcus; Jullum, Martin; Madhikermi, Manik; Malhi, Avleen Kaur

2021

Vitenskapelig artikkel

Whitepaper on Exabel’s Factor Model

Grotmol, Øyvind; Scheuerer, Michael; Aas, Kjersti; Jullum, Martin

2021

Rapport

White paper on performance evaluation of volatility estimation methods for Exabel

Grotmol, Øyvind; Jullum, Martin; Aas, Kjersti; Scheuerer, Michael

2021

Rapport

groupShapley: Efficient prediction explanation with Shapley values for feature groups

Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti

2021

Rapport

Explaining individual predictions when features are dependent: More accurate approximations to Shapley values

Jullum, Martin; Aas, Kjersti; Løland, Anders

2021

Vitenskapelig foredrag

Efficient and simple prediction explanations with groupShapley: A practical perspective

Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti

2021

Vitenskapelig foredrag

Efficient Shapley value explanations through feature groups

Jullum, Martin; Redelmeier, Annabelle Alice; Aas, Kjersti

2021

Vitenskapelig foredrag

Pairwise local Fisher and naive Bayes: Improving two standard discriminants

Otneim, Håkon; Jullum, Martin; Tjøstheim, Dag Bjarne

2020

Vitenskapelig artikkel

Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees

Redelmeier, Annabelle Alice; Jullum, Martin; Aas, Kjersti

2020

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

How to open the black box – individual prediction explanation

Jullum, Martin

2020

Vitenskapelig foredrag

Detecting money laundering transactions with machine learning

Jullum, Martin; Løland, Anders; Huseby, Ragnar Bang; Ånonsen, Geir; Lorentzen, Johannes P

2020

Vitenskapelig artikkel

Investigating mesh-based approximation methods for the normalization constant in the log Gaussian Cox process likelihood

Jullum, Martin

2020

Vitenskapelig artikkel

shapr: An R-package for explaining machine learning models with dependence-aware Shapley values

Sellereite, Nikolai; Jullum, Martin

2020

Vitenskapelig artikkel

Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling

Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian E.

2020

Vitenskapelig artikkel

How to open the black box — Individual prediction explanation

Jullum, Martin; Aas, Kjersti; Løland, Anders

2019

Vitenskapelig foredrag

Opening the black box — individual prediction explanation

Jullum, Martin; Aas, Kjersti; Løland, Anders

2019

Vitenskapelig foredrag

Mindre rutinearbeid med maskinlæring — Automatisk deteksjon av hvitvasking

Jullum, Martin; Bolstad, Lars Erik

2019

Faglig foredrag

Shapley explanations using conditional inference trees

Redelmeier, Annabelle Alice Aas, Kjersti (ed.); Jullum, Martin (ed.); Løland, Anders (ed.)

2019

Rapport

XGBoost – efficient tree boosting

Jullum, Martin

2018

Faglig foredrag

Detecting money laundering transactions — which transactions should we learn from?

Jullum, Martin; Løland, Anders; Huseby, Ragnar Bang; Ånonsen, Geir; Lorentzen, Johannes P

2018

Rapport

Estimating seal pup production in the Greenland Sea using Bayesian hierarchical modeling

Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian

2018

Rapport

Detecting money laundering transactions – two stories

Løland, Anders; Jullum, Martin; Huseby, Ragnar Bang

2018

Faglig foredrag

Parametric or nonparametric, that’s the question

Jullum, Martin; Hjort, Nils Lid

2018

Vitenskapelig foredrag

Maskinlæring for vurdering av forsikringsrisiko

Aas, Kjersti; Jullum, Martin; Neef, Linda Reiersølmoen

2017

Rapport

Statistical modeling of repertoire overlap in entire sampling spaces

Holden, Lars; Jullum, Martin; Sandve, Geir Kjetil

2017

Rapport

Bayesian modelling of cluster point process models

Thorarinsdottir, Thordis Linda; Jullum, Martin; Guttorp, Peter

2017

Vitenskapelig foredrag

A focused model selection criterion for selecting among parametric and nonparametric models

Jullum, Martin

2017

Vitenskapelig foredrag

Estimating the seal pup abundance in the Greenland Sea with Bayesian hierarchical modeling

Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian

2017

Vitenskapelig foredrag

Estimating seal pup abundance with LGCP

Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian

2016

Vitenskapelig foredrag

FIC with a nonparametric candidate – a new strategy for FIC construction

Jullum, Martin

2016

Vitenskapelig foredrag

New focused approaches to topics within model selection and approximate Bayesian inversion

Jullum, Martin

2016

Faglig foredrag

New focused approaches to topics within model selection and approximate Bayesian inversion

Jullum, Martin

2016

Doktorgradsavhandling

Bayesian AVO inversion to rock properties using a local neighborhood in a spatial prior model

Kolbjørnsen, Odd; Buland, Arild; Hauge, Ragnar; Røe, Per; Jullum, Martin; Metcalfe, Richard William; Skjæveland, Øyvind

2016

Vitenskapelig artikkel

Empirical likelihood

Jullum, Martin

2016

Faglig foredrag

An Approximate Bayesian Inversion Framework based on Local-gaussian Likelihoods

Jullum, Martin; Kolbjørnsen, Odd

2015

Vitenskapelig foredrag

An Approximate Bayesian Inversion Framework based on Local-Gaussian Likelihoods

Jullum, Martin; Kolbjørnsen, Odd

2015

Sammendrag/abstract

A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties

Jullum, Martin; Kolbjørnsen, Odd

2015

Vitenskapelig artikkel

To liv: kvinnene i Lillestrøm som ble født på samme dag og døde på samme dag (FocuStat Blog Post)

Hjort, Nils Lid (ed.)

2015

Nettsider (opplysningsmateriale)

Parametric or Nonparametric: The Focused Information Criterion Approach (+ Approximate Bayesian Inference)

Jullum, Martin

2013

Vitenskapelig foredrag

Hypotesetesting av strekklengde for Seigmenn

Jullum, Martin

2011

Rapport

Vindprognoser og strømpriser

Jullum, Martin

2011

Rapport

Strekker Laban seg litt lengre?

Storvik, Bård; Jullum, Martin

2011

Populærvitenskapelig artikkel