Anomaly detection is highly important in many machine learning-driven fields, yet developing mostly independently for different data modalities such as audio, EEG signals, images, text, videos or time-series in general. This workshop aims at bringing together experts in anomaly detection from different communities and at promoting joint research activities of its members.
