Primary tabs

Most recent publications

P. Bernabé, H. Spieker, B. Legeard and A. Gotlieb

Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)

In AAAI-21 Student Abstract and Poster Program, 2020.
Proceedings, refereed
2020
View
H. Spieker

Software Testing in Continuous Integration with Machine Learning and Constraint Optimization

In University of Oslo. Vol. PhD, 2020.
PhD Thesis
2020
View
A. Gotlieb, D. Marijan and H. Spieker

ITE: A Lightweight Implementation of Stratified Reasoning for Constructive Logical Operators

Int. Journal on Artificial Intelligence Tools (IJAIT) 29, no. 3-4 (2020): 23.
Journal Article
2020
View
H. Spieker and A. Gotlieb

Learning Objective Boundaries for Constraint Optimization Problems

In Machine Learning, Optimization, and Data Science. LOD 2020. Springer, 2020.
Proceedings, refereed
2020
View

Selected publications

H. Spieker and A. Gotlieb

Adaptive Metamorphic Testing with Contextual Bandits

Journal of Systems and Software 165 (2020).
Journal Article
2020
View
H. Spieker, A. Gotlieb and M. Mossige

Rotational Diversity in Multi-Cycle Assignment Problems

In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-19). Vol. 33. AAAI, 2019.
Proceedings, refereed
2019
View
H. Spieker, A. Gotlieb, D. Marijan and M. Mossige

Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration

In Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis. New York, NY, USA: ACM, 2017.
Proceedings, refereed
2017
View

News

14 September 2020

Helge Spieker successfully defended his PhD

Available Master's topics

Find publication

Status

Departments

Publication type

Year published

Export 6 results:
2020

Journal articles

A. Gotlieb, D. Marijan and H. Spieker

ITE: A Lightweight Implementation of Stratified Reasoning for Constructive Logical Operators

Int. Journal on Artificial Intelligence Tools (IJAIT) 29, no. 3-4 (2020): 23.
Status: Published
H. Spieker and A. Gotlieb

Adaptive Metamorphic Testing with Contextual Bandits

Journal of Systems and Software 165 (2020).
Status: Published

Proceedings, refereed

M. K. Ahuja, M. B. Belaid, P. Bernabé, M. Collet, A. Gotlieb, C. Lal, D. Marijan, S. Sen, A. Sharif and H. Spieker

Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI

In 1st International Workshop on New Foundations for Human-Centered AI @ ECAI 2020. CEUR Workshop Proceedings, 2020.
Status: Published
P. Bernabé, H. Spieker, B. Legeard and A. Gotlieb

Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)

In AAAI-21 Student Abstract and Poster Program, 2020.
Status: Accepted
H. Spieker and A. Gotlieb

Learning Objective Boundaries for Constraint Optimization Problems

In Machine Learning, Optimization, and Data Science. LOD 2020. Springer, 2020.
Status: Published

PhD theses

H. Spieker

Software Testing in Continuous Integration with Machine Learning and Constraint Optimization

In University of Oslo. Vol. PhD, 2020.
Status: Published