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E-raamat: Artificial Intelligence and Machine Learning: 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers

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Artificial Intelligence and Machine Learning: 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected PapersSuurem pilt
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This book contains a selection of the best papers of the 32nd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2020, held in Leiden, The Netherlands, in November 2020. Due to the COVID-19 pandemic the conference was held online.  The 12 papers presented in this volume were carefully reviewed and selected from 41 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis. The chapter 11 is published open access under a CC BY license (Creative Commons Attribution 4.0 International License)  Chapter Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.. 
Evaluating the Robustness of Question-Answering Models to Paraphrased
Questions.- FlipOut: Uncovering Redundant Weights via Sign
Flipping.- Evolving Virtual Embodied Agents using External Artifact
Evaluations.- Continuous Surrogate-based Optimization Algorithms are
Well-suitedfor Expensive Discrete Problems.- Comparing Correction Methods to
Reduce Misclassification Bias.- A Spiking Neuron Implementation of Genetic
Algorithms for Optimization.- Solving Hofstadter's Analogies using Structural
Information Theory.- A Semantic Tableau Method for Argument
Construction.- `Thy algorithm shalt not bear false witness': An Evaluation
of Multiclass Debiasing Methods on Word Embeddings.- An Intelligent Tree
Planning Approach using Location-based Social Networks Data.- Gaining Insight
into Determinants of Physical Activity using Bayesian Network
Learning.- Swarm Construction Coordinated through the Building Material.
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