When Humans and AI Collide . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Kori Inkpen The Rapid Growth of Human-in-the-Loop Machine Learning . . . . . . . . . . . Robert Munro How to Measure Uncertainty in Uncertainty Sampling for Active Learning Eyke Hu¨llermeier From Explainable AI to Human-Centered AI . . . . . . . . . . . . . . . . . . . . . . . . . Andreas Holzinger Full Research Papers Improving Unsupervised Domain Adaptation with Representative Selection Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . I-Ting Chen and Hsuan-Tien Lin Learning Active Learning at the Crossroads? Evaluation and Discussion . 38 Louis Desreumaux and Vincent Lemaire The Effects of Reluctant and Fallible Users in Interactive Online Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Agnes Tegen, Paul Davidsson and Jan A. Persson Short Papers Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Tom´aˇs Sˇabata and Martin Holena Towards Landscape Analysis in Adaptive Learning of Surrogate Models . . 78 Zbynˇek Pitra and Martin Holena
2 3 4 5 22 55 72 VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An approach and open research questions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Andreas Theissler, Anna-Lena Kraft, Max Rudeck and Fabian Erlenbusch