| 2020 | IJCAI | An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems. | Roy Assaf, Ioana Giurgiu, Jonas Pfefferle, Serge Monney, Haris Pozidis, Anika Schumann |
| 2019 | CIKM | Additive Explanations for Anomalies Detected from Multivariate Temporal Data. | Ioana Giurgiu, Anika Schumann |
| 2019 | ICDM | MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks. | Roy Assaf, Ioana Giurgiu, Frank Bagehorn, Anika Schumann |
| 2019 | IJCAI | Explainable Deep Neural Networks for Multivariate Time Series Predictions. | Roy Assaf, Anika Schumann |
| 2017 | AAAI | From Semantic Models to Cognitive Buildings. | Joern Ploennigs, Anika Schumann |
| 2015 | AAAI | Minimizing User Involvement for Accurate Ontology Matching Problems. | Anika Schumann, Freddy Lcu |
| 2015 | IECON | Understanding building operation from semantic context. | Anika Schumann, Joern Ploennigs, Bei Chen |
| 2014 | ECAI | Extending Semantic Sensor Networks for Automatically Tackling Smart Building Problems. | Joern Ploennigs, Anika Schumann, Freddy Lcu |
| 2014 | ECAI | Exploiting the Semantic Web for Systems Diagnosis. | Anika Schumann, Freddy Lcu, Joern Ploennigs |
| 2014 | ICPR | Statistical Anomaly Detection in Mean and Variation of Energy Consumption. | Bei Chen, Mathieu Sinn, Joern Ploennigs, Anika Schumann |
| 2014 | SENSYS | BEAD - building energy asset discovery tool for automating smart building analytics: demo abstract. | Joern Ploennigs, Bernard Gorman, Niall Brady, Anika Schumann |
| 2014 | SENSYS | Towards automating the deployment of energy saving approaches in buildings. | Anika Schumann, Joern Ploennigs, Bernard Gorman |
| 2013 | SENSYS | Exploiting Generalized Additive Models for Diagnosing Abnormal Energy Use in Buildings. | Joern Ploennigs, Bei Chen, Anika Schumann, Niall Brady |
| 2011 | AAAI | Adaptable Fault Identification for Smart Buildings. | Anika Schumann, Jer Hayes, Pascal Pompey, Olivier Verscheure |
| 2010 | AAAI | Computing Cost-Optimal Definitely Discriminating Tests. | Anika Schumann, Jinbo Huang, Martin Sachenbacher |
| 2010 | ECAI | A Decentralised Symbolic Diagnosis Approach. | Anika Schumann, Yannick Pencol, Sylvie Thibaux |
| 2009 | CP | Constraint-Based Optimal Testing Using DNNF Graphs. | Anika Schumann, Martin Sachenbacher, Jinbo Huang |
| 2008 | AAAI | A Scalable Jointree Algorithm for Diagnosability. | Anika Schumann, Jinbo Huang |
| 2008 | ECAI | Distributed Repair of Nondiagnosability. | Anika Schumann, Wolfgang Mayer, Markus Stumptner |
| 2007 | AAAI | A Spectrum of Symbolic On-line Diagnosis Approaches. | Anika Schumann, Yannick Pencol, Sylvie Thibaux |
| 2007 | IJCAI | Scalable Diagnosability Checking of Event-Driven Systems. | Anika Schumann, Yannick Pencol |
| 2004 | ECAI | Symbolic Models for Diagnosing Discrete-Event Systems. | Anika Schumann, Yannick Pencol, Sylvie Thibaux |