Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Thomas Radauer (ICMLA, 2014)

Drift detection in data stream classification without fully labelled instances. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (EAIS, 2015)

Fast and economic integration of new classes on the fly in evolving fuzzy classifiers using class decomposition. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (FUZZ-IEEE, 2015)

Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (Appl. Soft Comput., 2015)

MapView: Graphical Data Representation for Active Learning. - Eva Weigl; Alexander Walch; Ulrich Neissl; Pauline Meyer-Heye; Thomas Radauer; Edwin Lughofer; Wolfgang Heidl; Christian Eitzinger (AL@iKNOW, 2016)

Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances. - Edwin Lughofer; Eva Weigl; Wolfgang Heidl; Christian Eitzinger; Thomas Radauer (Inf. Sci., 2016)

On improving performance of surface inspection systems by online active learning and flexible classifier updates. - Eva Weigl; Wolfgang Heidl; Edwin Lughofer; Thomas Radauer; Christian Eitzinger (Mach. Vis. Appl., 2016)