Artificial Intelligence and Machine Learning 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19–20, 2020, Revised Selected Papers /
Artificial Intelligence and Machine Learning 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19–20, 2020, Revised Selected Papers / [electronic resource] :
edited by Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes.
- 1st ed. 2021.
- X, 203 p. 73 illus., 51 illus. in color. online resource.
- Communications in Computer and Information Science, 1398 1865-0937 ; .
- Communications in Computer and Information Science, 1398 .
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-suited for 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.
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.
9783030766405
10.1007/978-3-030-76640-5 doi
Artificial intelligence.
Computer engineering.
Computer networks .
Application software.
Computer science.
Computers.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Theory of Computation.
Computing Milieux.
Q334-342 TA347.A78
006.3
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-suited for 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.
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.
9783030766405
10.1007/978-3-030-76640-5 doi
Artificial intelligence.
Computer engineering.
Computer networks .
Application software.
Computer science.
Computers.
Artificial Intelligence.
Computer Engineering and Networks.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Theory of Computation.
Computing Milieux.
Q334-342 TA347.A78
006.3