Arne Bang Huseby

About Arne Bang Huseby

Arne Bang Huseby, With an exceptional h-index of 18 and a recent h-index of 12 (since 2020), a distinguished researcher at Universitetet i Oslo, specializes in the field of risk analysis, reliability, matroids, graph theory, optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

A copula-based boosting model for time-to-event prediction with dependent censoring

A decision support system for safer airplane landings: Predicting runway conditions using XGBoost and explainable AI

Optimizing Multiple Reinsurance Contracts

Optimal Reinsurance Contracts under Conditional Value-at-risk

Birnbaum criticality and importance measures for multistate systems with repairable components

A benchmarking exercise for environmental contours

Convex environmental contours

A Machine Learning Approach to Assess Runway Conditions Using Weather Data

Arne Bang Huseby Information

University

Position

___

Citations(all)

1145

Citations(since 2020)

543

Cited By

803

hIndex(all)

18

hIndex(since 2020)

12

i10Index(all)

29

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Arne Bang Huseby Skills & Research Interests

risk analysis

reliability

matroids

graph theory

optimization

Top articles of Arne Bang Huseby

A copula-based boosting model for time-to-event prediction with dependent censoring

arXiv preprint arXiv:2210.04869

2022/10/10

A decision support system for safer airplane landings: Predicting runway conditions using XGBoost and explainable AI

Cold Regions Science and Technology

2022/7/1

Optimizing Multiple Reinsurance Contracts

Proceedings of the 32th European Safety and Reliability Conference

2022

Optimal Reinsurance Contracts under Conditional Value-at-risk

2022

Arne Bang Huseby
Arne Bang Huseby

H-Index: 11

Birnbaum criticality and importance measures for multistate systems with repairable components

Probability in the Engineering and Informational Sciences

2022/1

Arne Bang Huseby
Arne Bang Huseby

H-Index: 11

A benchmarking exercise for environmental contours

Ocean Engineering

2021/9/15

Convex environmental contours

Ocean Engineering

2021/9/1

Arne Bang Huseby
Arne Bang Huseby

H-Index: 11

Christian Agrell
Christian Agrell

H-Index: 2

A Machine Learning Approach to Assess Runway Conditions Using Weather Data

2021

Alise Danielle Midtfjord
Alise Danielle Midtfjord

H-Index: 0

Arne Bang Huseby
Arne Bang Huseby

H-Index: 11

Importance Measures in Repairable Multistate Systems With Aging

2021

Arne Bang Huseby
Arne Bang Huseby

H-Index: 11

A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data

arXiv preprint arXiv

2021

Estimating runway friction using flight data

Proceedings of E-Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15), Research Publishing Services, Venice, Italy

2020/11

Arne Bang Huseby
Arne Bang Huseby

H-Index: 11

Environmental contours and optimal design

arXiv preprint arXiv:2009.03569

2020/9/8

Arne Bang Huseby
Arne Bang Huseby

H-Index: 11

Environmental contours based on a direct sampling approach and the IFORM approach: Contribution to a benchmark study

2020/8/3

Arne Bang Huseby
Arne Bang Huseby

H-Index: 11

Modelling extreme claims via composite models and threshold selection methods

Insurance: Mathematics and Economics

2020/3/1

On environmental contours for marine and coastal design

2020/1/1

See List of Professors in Arne Bang Huseby University(Universitetet i Oslo)