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Timo Markert , Sebastian Matich , Elias Hoerner , Jonas Pfannes , Andreas Theissler , Martin Atzmueller : Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task. IROS 2022 : 7825-7832 share record
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Dan Hudson , Travis J. Wiltshire , Martin Atzmueller : Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. IWINAC (1) 2022 : 34-44 share record
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Asep Maulana , Martin Atzmueller : Multi-Perspective Anomaly Detection on Bipartite Multi-Layer Social Interaction Networks. KI (Workshops) 2022 share record
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Arnab Ghosh Chowdhury , Martin Atzmueller : Towards Visual Explanations for Document Table Detection using Coarse Localization Maps. LWDA 2022 : 161-172 share record
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Jurgen O. D. van den Hoogen , Stefan Bloemheuvel , Martin Atzmueller : Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs. LWDA 2022 : 79-90 share record
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Michal Araszkiewicz , Martin Atzmueller , Grzegorz J. Nalepa , Bart Verheij , Szymon Bobek : Proceedings of 4th International Workshop on eXplainable and Responsible AI and Law co-located with 18th International Conference on Artificial Intelligence and Law (ICAIL 2021), Virtual Event, Sao Paolo, Brazil, June 21, 2021. CEUR Workshop Proceedings 3168, CEUR-WS.org 2022 [contents] export record
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journals/corr/abs-2201-00818 share record
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Stefan Bloemheuvel , Jurgen van den Hoogen , Dario Jozinovic , Alberto Michelini , Martin Atzmueller : Multivariate Time Series Regression with Graph Neural Networks. CoRR abs/2201.00818 (2022 )2021 export record
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journals/ans/BloemheuvelHA21 share record
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Stefan Bloemheuvel , Jurgen van den Hoogen , Martin Atzmueller : A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring. Appl. Netw. Sci. 6 (1 ) : 97 (2021 )export record
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journals/datamine/AtzmuellerGZ21 share record
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Martin Atzmueller , Stephan Günnemann , Albrecht Zimmermann : Mining communities and their descriptions on attributed graphs: a survey. Data Min. Knowl. Discov. 35 (3 ) : 661-687 (2021 )export record
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journals/sensors/NalepaBKA21 share record
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Grzegorz J. Nalepa , Szymon Bobek , Krzysztof Kutt , Martin Atzmueller : Semantic Data Mining in Ubiquitous Sensing: A Survey. Sensors 21 (13 ) : 4322 (2021 )share record
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Çiçek Güven , Dietmar Seipel , Martin Atzmueller : Applying ASP for Knowledge-Based Link Prediction With Explanation Generation in Feature-Rich Networks. IEEE Trans. Netw. Sci. Eng. 8 (2 ) : 1305-1315 (2021 )share record
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Dan Hudson , Travis J. Wiltshire , Martin Atzmueller : Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data. DS 2021 : 435-445 share record
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Leonid Schwenke , Martin Atzmueller : Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data. DSAA 2021 : 1-12 share record
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Timo Markert , Sebastian Matich , Elias Hoerner , Andreas Theissler , Martin Atzmueller : Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation. ETFA 2021 : 1-8 share record
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Simon Vollert , Martin Atzmueller , Andreas Theissler : Interpretable Machine Learning: A brief survey from the predictive maintenance perspective. ETFA 2021 : 1-8 share record
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Leonid Schwenke , Martin Atzmueller : Show Me What You're Looking For Visualizing Abstracted Transformer Attention for Enhancing Their Local Interpretability on Time Series Data. FLAIRS 2021 export record
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conf/ichms/WiltshireHBLWA21 share record
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Travis J. Wiltshire , Dan Hudson , Max Belitsky , Philia Lijdsman , Stijn Wever , Martin Atzmueller : Examining Team Interaction using Dynamic Complexity and Network Visualizations. ICHMS 2021 : 1-6 share record
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Arnab Ghosh Chowdhury , Nils Schut , Martin Atzmüller : A Hybrid Information Extraction Approach using Transfer Learning on Richly-Structured Documents. LWDA 2021 : 13-25 share record
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Leonid Schwenke , Martin Atzmueller : Abstracting Local Transformer Attention for Enhancing Interpretability on Time Series Data. LWDA 2021 : 205-218 share record
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Ngoc N. T. Doan , Dan Hudson , Travis J. Wiltshire , Philia Lijdsman , Stijn Wever , Martin Atzmueller : Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information. UMAP (Adjunct Publication) 2021 : 71-74 share record
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Grzegorz J. Nalepa , Michal Araszkiewicz , Martin Atzmueller , Bart Verheij , Szymon Bobek : Proceedings of the 3rd EXplainable AI in Law Workshop (XAILA 2020) co-located with 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020), Prague, Czech Republic, December 9th, 2020. CEUR Workshop Proceedings 2891, CEUR-WS.org 2021 [contents] share record
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Martin Atzmüller , Tomás Kliegr , Ute Schmid : Proceedings of the First International Workshop on Explainable and Interpretable Machine Learning (XI-ML 2020) co-located with the 43rd German Conference on Artificial Intelligence (KI 2020), Bamberg, Germany, September 21, 2020 (Virtual Workshop). CEUR Workshop Proceedings 2796, CEUR-WS.org 2021 [contents] export record
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journals/corr/abs-2105-05316 share record
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Stefan Bloemheuvel , Jurgen van den Hoogen , Martin Atzmueller : A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring. CoRR abs/2105.05316 (2021 )export record
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journals/corr/abs-2108-11751 share record
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Dan Hudson , Travis J. Wiltshire , Martin Atzmueller : Local Exceptionality Detection in Time Series Using Subgroup Discovery. CoRR abs/2108.11751 (2021 )2020 share record
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Martijn van Otterlo , Martin Atzmueller : A Conceptual View on the Design and Properties of Explainable AI Systems for Legal Settings. AICOL 2020 : 143-153 share record
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Asep Maulana , Martin Atzmueller : Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization. CoDIT 2020 : 633-638 export record
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conf/complexnetworks/BloemheuvelHA20 share record
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Stefan Bloemheuvel , Jurgen van den Hoogen , Martin Atzmueller : Graph Signal Processing on Complex Networks for Structural Health Monitoring. COMPLEX NETWORKS (1) 2020 : 249-261 export record
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conf/dsaa/LonjarretRPAA20 share record
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Corentin Lonjarret , Céline Robardet , Marc Plantevit , Roch Auburtin , Martin Atzmueller : Why Should I Trust This Item? Explaining the Recommendations of any Model. DSAA 2020 : 526-535 share record
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Jurgen O. D. van den Hoogen , Stefan Bloemheuvel , Martin Atzmueller : An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis. ICDM (Workshops) 2020 : 275-283 share record
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Dennis Mollenhauer , Martin Atzmueller : Sequential Exceptional Pattern Discovery Using Pattern-Growth: An Extensible Framework for Interpretable Machine Learning on Sequential Data. XI-ML@KI 2020