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Academic year: 2022

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Contents

Active Learning: Applications, Foundations and Emerging Trends (Tutorial)

Georg Krempl, Vincent Lemaire, Edwin Lughofer, Daniel Kottke 1

MapView: Graphical Data Representation for Active Learning

Eva Weigl, Alexander Walch, Ulrich Neissl, Pauline Meyer-Heye, Thomas Radauer, Edwin Lughofer,

Wolfgang Heidl, and Christian Eitzinger 3

Active Learning with SVM for Land Cover Classification - What Can Go Wrong?

Sebastian Wuttke, Wolfgang Middelmann, and Uwe Stilla 9

Dynamic Parameter Adaptation of SVM Based Active Learning Methodology

Jasmina Smailovi´c, Miha Grˇcar, Nada Lavraˇc, and Martin ˇZnidarˇsiˇc 17 Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning

Dominik Lang, Daniel Kottke, Georg Krempl, and Myra Spiliopoulou 25 Active Subtopic Detection in Multitopic Data

Benjamin Bergner, and Georg Krempl 35

III

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