Stochastic local search for efficient hybrid feature selection. - Ole Jakob Mengshoel; Tong Yu 001; Jon Riege; Eirik Flogard (GECCO Companion, 2021)

Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. - Eirik Flogard; Ole Jakob Mengshoel; Kerstin Bach (ICCBR, 2021)

Labour Inspection Checklist Content. - Eirik Flogard; Ole Jakob Mengshoel; Kerstin Bach (IEEE DataPort, 2021)

Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. - Ole Jakob Mengshoel; Eirik Lund Flogard; Tong Yu 001; Jon Riege (GECCO, 2022)

Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. - Eirik Lund Flogard; Ole Jakob Mengshoel; Kerstin Bach (IJCAI, 2022)

A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments. - Eirik Lund Flogard; Ole Jakob Mengshoel (NeurIPS, 2022)

Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. - Eirik Lund Flogard; Ole Jakob Mengshoel; Ole Magnus Theisen; Kerstin Bach (ECAI, 2023)

Improving Labour Inspection Efficiency via Machine Learning. - Eirik Lund Flogard (2024)