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2020 – today
- 2020
[c28]Roy Assaf, Ioana Giurgiu, Jonas Pfefferle, Serge Monney, Haris Pozidis, Anika Schumann:
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems. IJCAI 2020: 5228-5230- [i2]Nuno Mota Goncalves, Ioana Giurgiu, Anika Schumann:
From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering. CoRR abs/2010.05681 (2020)
2010 – 2019
- 2019
- [c27]Ioana Giurgiu, Anika Schumann:
Additive Explanations for Anomalies Detected from Multivariate Temporal Data. CIKM 2019: 2245-2248 - [c26]Roy Assaf, Ioana Giurgiu, Frank Bagehorn, Anika Schumann:
MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks. ICDM 2019: 952-957 - [c25]Roy Assaf, Anika Schumann:
Explainable Deep Neural Networks for Multivariate Time Series Predictions. IJCAI 2019: 6488-6490 - [i1]Ioana Giurgiu, Anika Schumann:
Explainable Failure Predictions with RNN Classifiers based on Time Series Data. CoRR abs/1901.08554 (2019) - 2017
- [j2]Joern Ploennigs
, Michael Maghella, Anika Schumann, Bei Chen:
Semantic Diagnosis Approach for Buildings. IEEE Trans. Ind. Informatics 13(6): 3399-3410 (2017) - [c24]Joern Ploennigs, Anika Schumann:
From Semantic Models to Cognitive Buildings. AAAI 2017: 5105- - 2015
- [c23]Anika Schumann, Freddy Lécué:
Minimizing User Involvement for Accurate Ontology Matching Problems. AAAI 2015: 1576-1582 - [c22]Anika Schumann, Joern Ploennigs, Bei Chen:
Understanding building operation from semantic context. IECON 2015: 1020-1025 - 2014
- [j1]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:
SPUD - Semantic Processing of Urban Data. J. Web Semant. 24: 11-17 (2014) - [c21]Anika Schumann, Freddy Lécué, Joern Ploennigs:
Exploiting the Semantic Web for Systems Diagnosis. ECAI 2014: 1091-1092 - [c20]Joern Ploennigs, Anika Schumann, Freddy Lécué:
Extending Semantic Sensor Networks for Automatically Tackling Smart Building Problems. ECAI 2014: 1211-1212 - [c19]Bei Chen, Mathieu Sinn, Joern Ploennigs, Anika Schumann:
Statistical Anomaly Detection in Mean and Variation of Energy Consumption. ICPR 2014: 3570-3575 - [c18]Joern Ploennigs, Anika Schumann, Freddy Lécué:
Adapting Semantic Sensor Networks for Smart Building Diagnosis. ISWC (2) 2014: 308-323 - [c17]Anika Schumann, Joern Ploennigs, Bernard Gorman:
Towards automating the deployment of energy saving approaches in buildings. BuildSys@SenSys 2014: 164-167 - [c16]Joern Ploennigs, Bernard Gorman, Niall Brady, Anika Schumann:
BEAD - building energy asset discovery tool for automating smart building analytics: demo abstract. BuildSys@SenSys 2014: 194-195 - 2013
- [c15]Joern Ploennigs, Bei Chen, Anika Schumann, Niall Brady:
Exploiting Generalized Additive Models for Diagnosing Abnormal Energy Use in Buildings. BuildSys@SenSys 2013: 17:1-17:8 - [e1]Sebastian Bader, Anika Schumann, Stephan Sigg, Freddy Lécué, Biplav Srivastava, Zaiqing Nie, Christian Guttmann:
Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities, AIIP/Semantic Cities@IJCAI 2013, Beijing, China, August 4-5, 2013. ACM 2013, ISBN 978-1-4503-2346-8 [contents] - 2012
- [c14]Freddy Lécué, Anika Schumann, Marco Luca Sbodio:
Applying Semantic Web Technologies for Diagnosing Road Traffic Congestions. ISWC (2) 2012: 114-130 - [c13]Marco Luca Sbodio, Freddy Lécué, Anika Schumann:
A Prototype for Semantic based Diagnosis of Road Traffic Congestions. ISWC (Posters & Demos) 2012 - 2011
- [c12]Anika Schumann, Jer Hayes, Pascal Pompey, Olivier Verscheure:
Adaptable Fault Identification for Smart Buildings. Artificial Intelligence and Smarter Living 2011 - [c11]Anika Schumann, Nic Wilson:
Predicting the Distribution of Thermal Comfort Votes. IEA/AIE (2) 2011: 480-489 - 2010
- [c10]Anika Schumann, Jinbo Huang, Martin Sachenbacher:
Computing Cost-Optimal Definitely Discriminating Tests. AAAI 2010: 161-166 - [c9]Anika Schumann, Yannick Pencolé, Sylvie Thiébaux:
A Decentralised Symbolic Diagnosis Approach. ECAI 2010: 99-104 - [c8]Anika Schumann, Nic Wilson, Mateo Burillo:
Learning User Preferences to Maximise Occupant Comfort in Office Buildings. IEA/AIE (1) 2010: 681-690
2000 – 2009
- 2009
- [c7]Anika Schumann, Martin Sachenbacher, Jinbo Huang:
Constraint-Based Optimal Testing Using DNNF Graphs. CP 2009: 731-745 - [c6]Anika Schumann, Martin Sachenbacher, Jinbo Huang:
Computing Optimal Tests for Non-deterministic Systems Using DNNF Graphs. MBT@ETAPS 2009: 87-99 - 2008
- [c5]Anika Schumann, Jinbo Huang:
A Scalable Jointree Algorithm for Diagnosability. AAAI 2008: 535-540 - [c4]Anika Schumann, Wolfgang Mayer, Markus Stumptner:
Distributed Repair of Nondiagnosability. ECAI 2008: 795-796 - 2007
- [c3]Anika Schumann, Yannick Pencolé, Sylvie Thiébaux:
A Spectrum of Symbolic On-line Diagnosis Approaches. AAAI 2007: 335-340 - [c2]Anika Schumann, Yannick Pencolé:
Scalable Diagnosability Checking of Event-Driven Systems. IJCAI 2007: 575-580 - 2004
- [c1]Anika Schumann, Yannick Pencolé, Sylvie Thiébaux:
Symbolic Models for Diagnosing Discrete-Event Systems. ECAI 2004: 1085-1086
Coauthor Index
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