Journal publications

• Flogard, Eirik Lund; Mengshoel, Ole Jakob. (2022) A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments. Advances in Neural Information Processing Systems. volum 35.
  Academic article
• Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin. (2022) Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI International Joint Conference on Artificial Intelligence.
  Academic article
• Mengshoel, Ole Jakob; Flogard, Eirik Lund; Riege, Jon; Yu, Tong. (2021) Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study. NIKT: Norsk IKT-konferanse for forskning og utdanning.
  Academic article

Part of book/report

• Mengshoel, Ole Jakob; Flogard, Eirik Lund; Yu, Tong; Riege, Jon. (2022) Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search. GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference.
  Academic chapter/article/Conference paper
• Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin. (2021) Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. Case-Based Reasoning Research and Development.
  Academic chapter/article/Conference paper
• Mengshoel, Ole Jakob; Yu, Tong; Riege, Jon; Flogard, Eirik Lund. (2021) Stochastic Local Search for Efficient Hybrid Feature Selection. GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
  Academic chapter/article/Conference paper