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Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections.

, , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 3218-3225. IOS Press, (2023)

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Efficient Bayesian Network Inference: Genetic Algorithms, Stochastic Local Search, and Abstraction. University of Illinois Urbana-Champaign, USA, (1999)EvoLP.jl: A Playground for Evolutionary Computation in Julia., and . NAIS, volume 3431 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)A multimethod approach to multimodal function optimization., and . GECCO Companion, page 235-236. ACM, (2021)Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All., , and . IJCAI, page 5108-5114. ijcai.org, (2022)Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists., , and . ICCBR, volume 12877 of Lecture Notes in Computer Science, page 94-109. Springer, (2021)Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections., , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 3218-3225. IOS Press, (2023)Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search., , , and . GECCO, page 251-259. ACM, (2022)Novelty search for evolving interesting character mechanics for a two-player video game., , and . GECCO Companion, page 321-322. ACM, (2021)A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments., and . NeurIPS, (2022)Generating Natural Language Dialogues Using Large Language Models with Adapters., and . NAIS, volume 3431 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)