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Advanced linguistic explanations of classifier decisions for users' annotation support.

, , , , , and . IEEE Conf. on Intelligent Systems, page 421-432. IEEE, (2016)

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Learning over sets with Recurrent Neural Networks: An empirical categorization of aggregation functions., , , and . Math. Comput. Simul., 82 (3): 442-449 (2011)Machine learning based analysis of gender differences in visual inspection decision making., , , , and . Inf. Sci., (2013)MapView: Graphical Data Representation for Active Learning., , , , , , , and . AL@iKNOW, volume 1707 of CEUR Workshop Proceedings, page 3-8. CEUR-WS.org, (2016)A Quantitative Evaluation of Texture Feature Robustness and Interpolation Behaviour., , , and . CAIP, volume 5702 of Lecture Notes in Computer Science, page 1154-1161. Springer, (2009)Classifier-based analysis of visual inspection: Gender differences in decision-making., , , , and . SMC, page 113-120. IEEE, (2010)Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection., , , , and . Appl. Soft Comput., (2015)On improving performance of surface inspection systems by online active learning and flexible classifier updates., , , , and . Mach. Vis. Appl., 27 (1): 103-127 (2016)Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances., , , , and . Inf. Sci., (2016)Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior., , , , , and . Inf. Sci., (2017)Fast and economic integration of new classes on the fly in evolving fuzzy classifiers using class decomposition., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2015)