Symbolic Models for Diagnosing Discrete-Event Systems. - Anika Schumann; Yannick Pencolé; Sylvie Thiébaux (ECAI, 2004)

A Spectrum of Symbolic On-line Diagnosis Approaches. - Anika Schumann; Yannick Pencolé; Sylvie Thiébaux (AAAI, 2007)

Scalable Diagnosability Checking of Event-Driven Systems. - Anika Schumann; Yannick Pencolé (IJCAI, 2007)

A Scalable Jointree Algorithm for Diagnosability. - Anika Schumann; Jinbo Huang (AAAI, 2008)

Distributed Repair of Nondiagnosability. - Anika Schumann; Wolfgang Mayer; Markus Stumptner (ECAI, 2008)

Constraint-Based Optimal Testing Using DNNF Graphs. - Anika Schumann; Martin Sachenbacher; Jinbo Huang (CP, 2009)

Computing Optimal Tests for Non-deterministic Systems Using DNNF Graphs. - Anika Schumann; Martin Sachenbacher; Jinbo Huang (MBT@ETAPS, 2009)

Computing Cost-Optimal Definitely Discriminating Tests. - Anika Schumann; Jinbo Huang; Martin Sachenbacher (AAAI, 2010)

A Decentralised Symbolic Diagnosis Approach. - Anika Schumann; Yannick Pencolé; Sylvie Thiébaux (ECAI, 2010)

Learning User Preferences to Maximise Occupant Comfort in Office Buildings. - Anika Schumann; Nic Wilson; Mateo Burillo (IEA/AIE (1), 2010)

Adaptable Fault Identification for Smart Buildings. - Anika Schumann; Jer Hayes; Pascal Pompey; Olivier Verscheure (Artificial Intelligence and Smarter Living, 2011)

Predicting the Distribution of Thermal Comfort Votes. - Anika Schumann; Nic Wilson (IEA/AIE (2), 2011)

Applying Semantic Web Technologies for Diagnosing Road Traffic Congestions. - Freddy Lécué; Anika Schumann; Marco Luca Sbodio (ISWC (2), 2012)

A Prototype for Semantic based Diagnosis of Road Traffic Congestions. - Marco Luca Sbodio; Freddy Lécué; Anika Schumann (ISWC (Posters & Demos), 2012)

Exploiting Generalized Additive Models for Diagnosing Abnormal Energy Use in Buildings. - Joern Ploennigs; Bei Chen; Anika Schumann; Niall Brady (BuildSys@SenSys, 2013)

Extending Semantic Sensor Networks for Automatically Tackling Smart Building Problems. - Joern Ploennigs; Anika Schumann; Freddy Lécué (ECAI, 2014)

Exploiting the Semantic Web for Systems Diagnosis. - Anika Schumann; Freddy Lécué; Joern Ploennigs (ECAI, 2014)

Statistical Anomaly Detection in Mean and Variation of Energy Consumption. - Bei Chen; Mathieu Sinn; Joern Ploennigs; Anika Schumann (ICPR, 2014)

Adapting Semantic Sensor Networks for Smart Building Diagnosis. - Joern Ploennigs; Anika Schumann; Freddy Lécué (ISWC (2), 2014)

BEAD - building energy asset discovery tool for automating smart building analytics: demo abstract. - Joern Ploennigs; Bernard Gorman; Niall Brady; Anika Schumann (BuildSys, 2014)

Towards automating the deployment of energy saving approaches in buildings. - Anika Schumann; Joern Ploennigs; Bernard Gorman (BuildSys, 2014)

SPUD - Semantic Processing of Urban Data. - Spyros Kotoulas; Vanessa López; Raymond Lloyd; Marco Luca Sbodio; Freddy Lécué; Martin Stephenson; Elizabeth M. Daly; Veli Bicer; Aris Gkoulalas-Divanis; Giusy Di Lorenzo; Anika Schumann; Pol Mac Aonghusa (J. Web Semant., 2014)

Minimizing User Involvement for Accurate Ontology Matching Problems. - Anika Schumann; Freddy Lécué (AAAI, 2015)

Understanding building operation from semantic context. - Anika Schumann; Joern Ploennigs; Bei Chen (IECON, 2015)

From Semantic Models to Cognitive Buildings. - Joern Ploennigs; Anika Schumann (AAAI, 2017)

Semantic Diagnosis Approach for Buildings. - Joern Ploennigs; Michael Maghella; Anika Schumann; Bei Chen (IEEE Trans. Ind. Informatics, 2017)

Additive Explanations for Anomalies Detected from Multivariate Temporal Data. - Ioana Giurgiu; Anika Schumann (CIKM, 2019)

MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks. - Roy Assaf; Ioana Giurgiu; Frank Bagehorn; Anika Schumann (ICDM, 2019)

Explainable Deep Neural Networks for Multivariate Time Series Predictions. - Roy Assaf; Anika Schumann (IJCAI, 2019)

Explainable Failure Predictions with RNN Classifiers based on Time Series Data. - Ioana Giurgiu; Anika Schumann (CoRR, 2019)

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 (IJCAI, 2020)

From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering. - Nuno Mota Goncalves; Ioana Giurgiu; Anika Schumann (CoRR, 2020)