Abstract is missing.
- When Humans and AI CollideKori Inkpen. 1 [doi]
- The Rapid Growth of Human-in-the-Loop Machine LearningRobert Munro. 2 [doi]
- How to Measure Uncertainty in Uncertainty Sampling for Active LearningEyke Hüllermeier. 3 [doi]
- From Explainable AI to Human-Centered AIAndreas Holzinger. 4 [doi]
- Improving Unsupervised Domain Adaptation with Representative Selection TechniquesI-Ting Chen, Hsuan-Tien Lin. 5-21 [doi]
- On the Transferability of Deep Neural Networks for Recommender SystemDuc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara. 22-37 [doi]
- Learning Active Learning at the Crossroads? Evaluation and DiscussionLouis Desreumaux, Vincent Lemaire 0001. 38-54 [doi]
- The Effects of Reluctant and Fallible Users in Interactive Online Machine LearningAgnes Tegen, Paul Davidsson, Jan A. Persson. 55-71 [doi]
- Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram ReadingsTomás Sabata, Martin Holena. 72-77 [doi]
- Towards Landscape Analysis in Adaptive Learning of Surrogate ModelsZbynek Pitra, Martin Holena. 78-83 [doi]
- VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An Approach and Open Research QuestionsAndreas Theissler, Anna-Lena Kraft, Max Rudeck, Fabian Erlenbusch. 84-89 [doi]
- Get a Human-In-The-Loop: Feature Engineering via Interactive VisualizationsDimitra Gkorou, Maialen Larrañaga, Alexander Ypma, Faegheh Hasibi, Robert Jan van Wijk. 90-95 [doi]