An anomaly detection and explainability framework using convolutional autoencoders for data storage systemsRoy AssafIoana Giurgiuet al.2021IJCAI 2020
Additive explanations for anomalies detected from multivariate temporal dataIoana GiurgiuAnika Schumann2019CIKM 2019
MTEX-CNN: Multivariate time series explanations for predictions with convolutional neural networksRoy AssafIoana Giurgiuet al.2019ICDM 2019
Explainable deep neural networks for multivariate time series predictionsRoy AssafAnika Schumann2019IJCAI 2019
Understanding building operation from semantic contextAnika SchumannJoern Ploennigset al.2015IECON 2015
Minimizing user involvement for accurate ontology matching problemsAnika SchumannFreddy Lecue2015AAAI/IAAI 2015
Statistical anomaly detection in mean and variation of energy consumptionBei ChenMathieu Sinnet al.2014ICPR 2014
Towards automating the deployment of energy saving approaches in buildingsAnika SchumannJoern Ploennigset al.2014BuildSys 2014