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Oddness-Based Classifiers for Boolean or Numerical Data.

, , and . KI, volume 9324 of Lecture Notes in Computer Science, page 32-44. Springer, (2015)

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From Analogical Proportion to Logical Proportions: A Survey., and . Computational Approaches to Analogical Reasoning, volume 548 of Studies in Computational Intelligence, Springer, (2014)A Short Introduction to Computational Trends in Analogical Reasoning., and . Computational Approaches to Analogical Reasoning, volume 548 of Studies in Computational Intelligence, Springer, (2014)Constructive Solving of Raven's IQ Tests with Analogical Proportions., , and . Int. J. Intell. Syst., 31 (11): 1072-1103 (2016)Solving Word Analogies: A Machine Learning Perspective., , and . ECSQARU, volume 11726 of Lecture Notes in Computer Science, page 238-250. Springer, (2019)On Different Ways to be (dis)similar to Elements in a Set. Boolean Analysis and Graded Extension., and . IPMU (2), volume 611 of Communications in Computer and Information Science, page 605-618. Springer, (2016)Trying to Understand How Analogical Classifiers Work., , and . SUM, volume 7520 of Lecture Notes in Computer Science, page 582-589. Springer, (2012)Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features., , , and . CIARP (1), volume 8258 of Lecture Notes in Computer Science, page 165-173. Springer, (2013)Analogy, Paralogy and Reverse Analogy: Postulates and Inferences., and . KI, volume 5803 of Lecture Notes in Computer Science, page 306-314. Springer, (2009)Oddness-Based Classifiers for Boolean or Numerical Data., , and . KI, volume 9324 of Lecture Notes in Computer Science, page 32-44. Springer, (2015)Multiple-valued extensions of analogical proportions., , and . Fuzzy Sets Syst., (2016)