Anika Schumann

发表

SPUD - Semantic Processing of Urban Data

Freddy Lécué, Vanessa López, Spyros Kotoulas, 2014, J. Web Semant..

Scalable Diagnosability Checking of Event-Driven Systems

Yannick Pencolé, Anika Schumann, 2007, IJCAI.

Learning User Preferences to Maximise Occupant Comfort in Office Buildings

Nic Wilson, Anika Schumann, Mateo Burillo, 2010, IEA/AIE.

Towards automating the deployment of energy saving approaches in buildings

Bernard Gorman, Joern Ploennigs, Anika Schumann, 2014, BuildSys@SenSys.

Extending Semantic Sensor Networks for Automatically Tackling Smart Building Problems

Freddy Lécué, Joern Ploennigs, Anika Schumann, 2014, ECAI.

Statistical Anomaly Detection in Mean and Variation of Energy Consumption

Bei Chen, Joern Ploennigs, Mathieu Sinn, 2014, 2014 22nd International Conference on Pattern Recognition.

Distributed Repair of Nondiagnosability

Markus Stumptner, Wolfgang Mayer, Anika Schumann, 2008, ECAI.

BEAD - building energy asset discovery tool for automating smart building analytics: demo abstract

Bernard Gorman, Joern Ploennigs, Anika Schumann, 2014, BuildSys@SenSys.

Computing Optimal Tests for Non-deterministic Systems Using DNNF Graphs

Jinbo Huang, Martin Sachenbacher, Anika Schumann, 2009, Electron. Notes Theor. Comput. Sci..

From Semantic Models to Cognitive Buildings

Joern Ploennigs, Anika Schumann, J. Ploennigs, 2017, AAAI.

Explainable Deep Neural Networks for Multivariate Time Series Predictions

Roy Assaf, Anika Schumann, R. Assaf, 2019, IJCAI.

A jointree algorithm for diagnosability and its application to the verification of distributed software systems

Markus Stumptner, Wolfgang Mayer, Anika Schumann, 2008 .

A Spectrum of On-Line Symbolic Diagnosis Approaches

Yannick Pencolé, Sylvie Thiébaux, Anika Schumann, 2007 .

Exploiting Generalized Additive Models for Diagnosing Abnormal Energy Use in Buildings

Bei Chen, Joern Ploennigs, Anika Schumann, 2013, BuildSys@SenSys.

An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems

Haris Pozidis, Jonas Pfefferle, Roy Assaf, 2020, IJCAI.

From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering pdf

Anika Schumann, Ioana Giurgiu, Nuno Mota Goncalves, 2020, ArXiv.

Towards efficiently diagnosing large scale discrete-event systems

Anika Schumann, 2007 .

Additive Explanations for Anomalies Detected from Multivariate Temporal Data

Ioana Giurgiu, Anika Schumann, I. Giurgiu, 2019, CIKM.

Predicting the Distribution of Thermal Comfort Votes

Nic Wilson, Anika Schumann, Nic Wilson, 2011, IEA/AIE.

MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks

Anika Schumann, Ioana Giurgiu, Roy Assaf, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Diagnosis of discrete-event systems using binary decision diagrams

Yannick Pencolé, Sylvie Thiébaux, Anika Schumann, 2004 .

Understanding building operation from semantic context

Bei Chen, Joern Ploennigs, Anika Schumann, 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

A Spectrum of Symbolic On-line Diagnosis Approaches

Yannick Pencolé, Sylvie Thiébaux, Anika Schumann, 2007, AAAI.

Constraint-Based Optimal Testing Using DNNF Graphs

Jinbo Huang, Martin Sachenbacher, Anika Schumann, 2009, CP.

Adapting Semantic Sensor Networks for Smart Building Diagnosis

Freddy Lécué, Joern Ploennigs, Anika Schumann, 2014, International Semantic Web Conference.

A Decentralised Symbolic Diagnosis Approach

Yannick Pencolé, Sylvie Thiébaux, Anika Schumann, 2010, ECAI.

Symbolic Models for Diagnosing Discrete-Event Systems

Yannick Pencolé, Sylvie Thiébaux, Anika Schumann, 2004, ECAI.

Explainable Failure Predictions with RNN Classifiers based on Time Series Data pdf

Ioana Giurgiu, Anika Schumann, 2019, ArXiv.

Minimizing User Involvement for Accurate Ontology Matching Problems

Freddy Lécué, Anika Schumann, 2015, AAAI.

A Prototype for Semantic based Diagnosis of Road Traffic Congestions

Freddy Lécué, Marco Luca Sbodio, Anika Schumann, 2012, International Semantic Web Conference.

A Scalable Jointree Algorithm for Diagnosability

Jinbo Huang, Anika Schumann, 2008, AAAI.

Applying Semantic Web Technologies for Diagnosing Road Traffic Congestions

Freddy Lécué, Marco Luca Sbodio, Anika Schumann, 2012, International Semantic Web Conference.

Exploiting the Semantic Web for Systems Diagnosis

Freddy Lécué, Joern Ploennigs, Anika Schumann, 2014, ECAI.

Semantic Diagnosis Approach for Buildings

Bei Chen, Joern Ploennigs, Anika Schumann, 2017, IEEE Transactions on Industrial Informatics.

On Evaluating Explainability Algorithms

Ioana Giurgiu, Anika Schumann, Nuno Mota, 2019 .

Adaptable Fault Identification for Smart Buildings

Olivier Verscheure, Anika Schumann, Jer Hayes, 2011, Artificial Intelligence and Smarter Living.

Computing Cost-Optimal Definitely Discriminating Tests

Jinbo Huang, Martin Sachenbacher, Anika Schumann, 2010, AAAI.

EFFICIENT ON-LINE FAILURE IDENTIFICATION FOR DISCRETE-EVENT SYSTEMS 1

Yannick Pencolé, Anika Schumann, Y. Pencolé, 2006 .