Blar i NTNU Open på forfatter "Flogard, Eirik Lund"
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Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists
Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin (Chapter, 2021)Checklists are used to aid the fulfillment of safety critical activities in a variety of different applications, such as aviation, health care or labour inspections. However, optimizing a checklist for a specific purpose ... -
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All
Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin (Peer reviewed; Journal article, 2022)Every year there are 1.9 million deaths world-wide attributed to occupational health and safety risk factors. To address poor working conditions and fulfill UN's SDG 8, "protect labour rights and promote safe working ... -
Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections
Flogard, Eirik Lund; Mengshoel, Ole Jakob; Theisen, Ole Magnus; Bach, Kerstin (Chapter, 2023)To address poor working conditions and promote United Nations’ sustainable development goal 8.8, “protect labour rights and promote safe working environments for all workers [...]”, government agencies around the world ... -
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments
Flogard, Eirik Lund; Mengshoel, Ole Jakob (Peer reviewed; Journal article, 2022)Among United Nations' 17 Sustainable Development Goals (SDGs), we highlight SDG 8 on Decent Work and Economic Growth. Specifically, we consider how to achieve subgoal 8.8, "protect labour rights and promote safe working ... -
Evolution in Materio: - En Kaotisk Tilnærming
Flogard, Eirik Lund (Master thesis, 2015)Denne avhandlingen omhandler et konsept kalt Evolution in Materio, der man gjennom datakontrollert evolusjon forsøker å utnytte et materies naturlige egenskaper for å løse oppgaver eller utføre beregninger. Motivasjonen ... -
Improving Labour Inspection Efficiency via Machine Learning
Flogard, Eirik Lund (Doctoral theses at NTNU;2024:130, Doctoral thesis, 2024)Labour inspections are carried out nationwide by governmental agencies in countries that have ratified the International Labour Organization’s Labour Inspection Convention (1947), to enforce decent working conditions and ... -
Stochastic Local Search for Efficient Hybrid Feature Selection
Mengshoel, Ole Jakob; Yu, Tong; Riege, Jon; Flogard, Eirik Lund (Chapter, 2021)There is a need to study not only accuracy but also computational cost in machine learning. Focusing on both accuracy and computational cost of feature selection, we develop and test stochastic local search (SLS) heuristics ... -
Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study
Mengshoel, Ole Jakob; Flogard, Eirik Lund; Riege, Jon; Yu, Tong (Peer reviewed; Journal article, 2021) -
Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search
Mengshoel, Ole Jakob; Flogard, Eirik Lund; Yu, Tong; Riege, Jon (Chapter, 2022)With a focus on both the fitness and cost of subset selection, we study stochastic local search (SLS) heuristics in this paper. In particular, we consider subset selection problems where the cost of fitness function ...