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ORCIDMartin Atzmüller
Martin Atzmueller
Person information
- affiliation: Osnabrück University, Germany
- affiliation (former): Tilburg University, The Netherlands
- affiliation (former): University of Kassel, Department of Electrical Engineering and Computer Science
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2020 – today
- 2024
[j38]Martin Atzmueller, Johannes Fürnkranz, Tomás Kliegr, Ute Schmid:
Explainable and interpretable machine learning and data mining. Data Min. Knowl. Discov. 38(5): 2571-2595 (2024)- [j37]Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller:
Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches. Int. J. Data Sci. Anal. 18(2): 157-174 (2024) - [j36]Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller:
Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study. Int. J. Data Sci. Anal. 18(4): 423-444 (2024) - [c168]Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller:
Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters. ICDEW 2024: 91-95 - [c167]Moritz Lucas, Viacheslav Barkov, Ralf Pecenka, Martin Atzmueller, Björn Waske:
Mapping Trees Outside Forests Using Semantic Segmentation. IGARSS 2024: 4435-4438 - [c166]Arnab Ghosh Chowdhury, David Massanés, Steffen Meinert, Martin Atzmueller:
A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives. IWINAC 2024: 496-506 - [c165]Timo Markert, Sebastian Matich, Daniel Neykov, Jonas Pfannes, Andreas Theissler, Martin Atzmueller:
Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation. RO-MAN 2024: 1761-1767 - [e21]Slawomir Nowaczyk
, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I. Communications in Computer and Information Science 1947, Springer 2024, ISBN 978-3-031-50395-5 [contents] - [e20]Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II. Communications in Computer and Information Science 1948, Springer 2024, ISBN 978-3-031-50484-6 [contents] - [i16]Mandala von Westenholz, Martin Atzmueller, Tim Römer:
Simplicial complexes in network intrusion profiling. CoRR abs/2408.09788 (2024) - [i15]Andreas Schliebitz, Heiko Tapken, Martin Atzmueller:
Improving Nonlinear Projection Heads using Pretrained Autoencoder Embeddings. CoRR abs/2408.14514 (2024) - [i14]Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, Martin Atzmueller:
An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications. CoRR abs/2409.11985 (2024) - 2023
- [j35]Parisa Shayan, Roberto Rondinelli, Menno van Zaanen, Martin Atzmueller:
Multi-Level Analysis of Learning Management Systems' User Acceptance Exemplified in Two System Case Studies. Data 8(3): 45 (2023) - [j34]Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller:
Methods for explaining Top-N recommendations through subgroup discovery. Data Min. Knowl. Discov. 37(2): 833-872 (2023) - [j33]Carolina Centeio Jorge, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Rosaldo J. F. Rossetti, Cláudio Rebelo de Sá:
"Want to come play with me?" Outlier subgroup discovery on spatio-temporal interactions. Expert Syst. J. Knowl. Eng. 40(5) (2023) - [j32]Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller:
Graph neural networks for multivariate time series regression with application to seismic data. Int. J. Data Sci. Anal. 16(3): 317-332 (2023) - [j31]J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [c164]Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller:
Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study. DSAA 2023: 1-2 - [c163]Maciej Szelazek, Dan Hudson, Szymon Bobek, Grzegorz J. Nalepa, Martin Atzmueller:
Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery. DSAA 2023: 1-11 - [c162]Dietmar Seipel, Marcel Waleska, Daniel Weidner, Sven Rausch, Martin Atzmueller:
Post-mining on Association Rule Bases. ECAI Workshops (2) 2023: 23-35 - [c161]Dan Hudson, Martin Atzmueller:
Subgroup Discovery with SD4Py. ECAI Workshops (1) 2023: 338-348 - [c160]Martin Atzmueller, Sophia Sylvester, Rushed Kanawati:
Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis. EICC 2023: 153-158 - [c159]Leonid Schwenke, Martin Atzmueller:
Making Time Series Embeddings More Interpretable in Deep Learning - Extracting Higher-Level Features via Symbolic Approximation Representations. FLAIRS 2023 - [c158]Leonid Schwenke, Stefan Bloemheuvel, Martin Atzmueller:
Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach. FLAIRS 2023 - [c157]Freddy Sikouonmeu, Martin Atzmueller:
Active-learning-driven deep interactive segmentation for cost-effective labeling of crop-weed image data. GIL Jahrestagung 2023: 507-512 - [c156]Dan Hudson, Ruud J. R. Den Hartigh, L. Rens A. Meerhoff, Martin Atzmueller:
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data. ICDM (Workshops) 2023: 949-957 - [c155]Timo Markert, Elias Hoerner, Sebastian Matich, Andreas Theissler, Martin Atzmueller:
Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach. ICMLA 2023: 1045-1051 - [c154]Martin ben Ahmed, Niklas Wilming, Martin Atzmueller:
Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries. INDIN 2023: 1-8 - [c153]Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian Schmid, Martin Atzmueller, Andreas Theissler:
Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data. INDIN 2023: 1-7 - [c152]Harihara Bharathy Swaminathan, Aron Sommer, Andreas Becker, Martin Atzmueller:
Spatial Change Detection Using Automotive Radar. ITSC 2023: 4066-4071 - [c151]Tim Bohne, Anne-Kathrin Patricia Windler, Martin Atzmueller:
A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain. K-CAP 2023: 35-43 - [c150]Eric Lanfer, Sophia Sylvester, Nils Aschenbruck, Martin Atzmueller:
Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets. LCN 2023: 1-4 - [c149]Andreas Schliebitz, Heiko Tapken, Martin Atzmueller:
Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification. LWDA 2023: 399-413 - [i13]Leonid Schwenke, Martin Atzmueller:
Extracting Interpretable Local and Global Representations from Attention on Time Series. CoRR abs/2312.11466 (2023) - 2022
- [j30]Harihara Bharathy Swaminathan, Aron Sommer, Andreas Becker, Martin Atzmueller:
Performance Evaluation of GNSS Position Augmentation Methods for Autonomous Vehicles in Urban Environments. Sensors 22(21): 8419 (2022) - [c148]Parisa Shayan, Menno van Zaanen, Martin Atzmueller:
Predicting User Dropout from Their Online Learning Behavior. DS 2022: 243-252 - [c147]Martin Atzmueller, Rushed Kanawati:
Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview. EICC 2022: 49-52 - [c146]Arnab Ghosh Chowdhury, Martin ben Ahmed, Martin Atzmueller:
Towards Tabular Data Extraction From Richly-Structured Documents Using Supervised and Weakly-Supervised Learning. ETFA 2022: 1-4 - [c145]Timo Markert, Sebastian Matich, Daniel Neykov, Markus Muenig, Andreas Theissler, Martin Atzmueller:
Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations. ETFA 2022: 1-4 - [c144]Parisa Shayan, Martin Atzmueller, Menno van Zaanen:
Assessing the Influence of Time on Features for the Prediction of User Dropout. ICTAI 2022: 1022-1027 - [c143]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 - [c142]Dan Hudson, Travis J. Wiltshire, Martin Atzmueller:
Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. IWINAC (1) 2022: 34-44 - [c141]Asep Maulana, Martin Atzmueller:
Multi-Perspective Anomaly Detection on Bipartite Multi-Layer Social Interaction Networks. KI (Workshops) 2022 - [c140]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 - [c139]Arnab Ghosh Chowdhury, Martin Atzmueller:
Towards Visual Explanations for Document Table Detection using Coarse Localization Maps. LWDA 2022: 161-172 - [e19]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] - [i12]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
- [j29]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) - [j28]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) - [j27]Grzegorz J. Nalepa, Szymon Bobek, Krzysztof Kutt, Martin Atzmueller:
Semantic Data Mining in Ubiquitous Sensing: A Survey. Sensors 21(13): 4322 (2021) - [j26]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) - [c138]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 - [c137]Leonid Schwenke, Martin Atzmueller:
Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data. DSAA 2021: 1-12 - [c136]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 - [c135]Simon Vollert, Martin Atzmueller, Andreas Theissler:
Interpretable Machine Learning: A brief survey from the predictive maintenance perspective. ETFA 2021: 1-8 - [c134]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 - [c133]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 - [c132]Arnab Ghosh Chowdhury, Nils Schut, Martin Atzmüller:
A Hybrid Information Extraction Approach using Transfer Learning on Richly-Structured Documents. LWDA 2021: 13-25 - [c131]Leonid Schwenke, Martin Atzmueller:
Abstracting Local Transformer Attention for Enhancing Interpretability on Time Series Data. LWDA 2021: 205-218 - [c130]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 - [e18]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] - [e17]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] - [i11]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) - [i10]Dan Hudson, Travis J. Wiltshire, Martin Atzmueller:
Local Exceptionality Detection in Time Series Using Subgroup Discovery. CoRR abs/2108.11751 (2021) - 2020
- [c129]Martijn van Otterlo, Martin Atzmueller:
A Conceptual View on the Design and Properties of Explainable AI Systems for Legal Settings. AICOL 2020: 143-153 - [c128]Asep Maulana, Martin Atzmueller:
Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization. CoDIT 2020: 633-638 - [c127]Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller:
Graph Signal Processing on Complex Networks for Structural Health Monitoring. COMPLEX NETWORKS (1) 2020: 249-261 - [c126]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 - [c125]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 - [c124]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 - [e16]Martin Atzmüller, Michele Coscia, Rokia Missaoui:
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, The Hague, Netherlands, December 7-10, 2020. IEEE 2020, ISBN 978-1-7281-1056-1 [contents] - [e15]Grzegorz J. Nalepa, Martin Atzmueller, Michal Araszkiewicz, Paulo Novais:
Proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), Madrid, Spain, December 11, 2019. CEUR Workshop Proceedings 2681, CEUR-WS.org 2020 [contents] - [i9]Travis J. Wiltshire, Dan Hudson, Philia Lijdsman, Stijn Wever, Martin Atzmueller:
Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations. CoRR abs/2009.04445 (2020)
2010 – 2019
- 2019
- [j25]Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron, Alessandra Sala:
Feature-rich networks: going beyond complex network topologies. Appl. Netw. Sci. 4(1): 4:1-4:13 (2019) - [j24]Martin Atzmueller, Henry Soldano, Guillaume Santini, Dominique Bouthinon:
MinerLSD: efficient mining of local patterns on attributed networks. Appl. Netw. Sci. 4(1): 43:1-43:33 (2019) - [j23]Çiçek Güven, Martin Atzmueller:
Applying Answer Set Programming for Knowledge-Based Link Prediction on Social Interaction Networks. Frontiers Big Data 2: 15 (2019) - [j22]Lukas Eberhard, Christoph Trattner, Martin Atzmueller:
Predicting trading interactions in an online marketplace through location-based and online social networks. Inf. Retr. J. 22(1-2): 55-92 (2019) - [j21]Mark Kibanov, Raphael Heiko Heiberger, Simone Rödder, Martin Atzmueller, Gerd Stumme:
Social studies of scholarly life with sensor-based ethnographic observations. Scientometrics 119(3): 1387-1428 (2019) - [c123]Martin Atzmueller:
Towards Socio-Technical Design of Explicative Systems: Transparent, Interpretable and Explainable Analytics and Its Perspectives in Social Interaction Contexts information. AfCAI 2019 - [c122]Ngoc N. T. Doan, Andrius Penkauskas, Ecaterina Grigoriev, Lisa E. Rombout, Paris Mavromoustakos Blom, Maryam Alimardani, Martin Atzmueller:
Towards Multimodal Characterization of Dialogic Moments on Social Group Face-to-Face Interaction. AfCAI 2019 - [c121]Erica Ramirez, Markus Wimmer, Martin Atzmueller:
A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis. KR4HC/ProHealth/TEAAM@AIME 2019: 132-147 - [c120]Stefan Bloemheuvel, Benjamin Klöpper, Martin Atzmüller:
Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs. Business Process Management Workshops 2019: 417-429 - [c119]Martin Atzmueller, Stefan Bloemheuvel, Benjamin Klöpper:
A Framework for Human-Centered Exploration of Complex Event Log Graphs. DS 2019: 335-350 - [c118]Carolina Centeio Jorge, Martin Atzmueller, Behzad Momahed Heravi, Jenny L. Gibson, Cláudio Rebelo de Sá, Rosaldo J. F. Rossetti:
Mining Exceptional Social Behaviour. EPIA (2) 2019: 460-472 - [c117]Parisa Shayan, Roberto Rondinelli, Menno van Zaanen, Martin Atzmueller:
Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context. ABIS@HT 2019: 7-13 - [c116]Martin Atzmueller, Çiçek Güven, Spyroula Masiala, Rick Mackenbach, Parisa Shayan, Werner Liebregts:
Behavioral Analysis on Socio-Spatial Interaction Networks concerning User Preferences, Interactions and their Perception. ABIS@HT 2019: 15-17 - [c115]Daniel Weidner, Martin Atzmueller, Dietmar Seipel:
Finding Maximal Non-redundant Association Rules in Tennis Data. DECLARE 2019: 59-78 - [c114]Martin Atzmueller:
Onto Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction Networks. WWW (Companion Volume) 2019: 1047-1050 - [c113]Rushed Kanawati, Martin Atzmueller:
Modeling and Mining Feature-Rich Networks. WWW (Companion Volume) 2019: 1306-1307 - [e14]Martin Atzmueller, Wouter Duivesteijn:
Artificial Intelligence - 30th Benelux Conference, BNAIC 2018, 's-Hertogenbosch, The Netherlands, November 8-9, 2018, Revised Selected Papers. Communications in Computer and Information Science 1021, Springer 2019, ISBN 978-3-030-31977-9 [contents] - [e13]Grzegorz J. Nalepa, Martin Atzmueller, Michal Araszkiewicz, Paulo Novais:
Proceedings of the EXplainable AI in Law Workshop co-located with the 31st International Conference on Legal Knowledge and Information Systems, XAILA@JURIX 2018, Groningen, The Netherlands, December 12, 2018. CEUR Workshop Proceedings 2381, CEUR-WS.org 2019 [contents] - [e12]Martin Atzmueller, Alvin Chin, Florian Lemmerich, Christoph Trattner:
Behavioral Analytics in Social and Ubiquitous Environments - 6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, Porto, Portugal, September 7, 2015; 6th International Workshop on Modeling Social Media, MSM 2015, Florence, Italy, May 19, 2015; 7th International Workshop on Modeling Social Media, MSM 2016, Montreal, QC, Canada, April 12, 2016; Revised Selected Papers. Lecture Notes in Computer Science 11406, Springer 2019, ISBN 978-3-030-33906-7 [contents] - [i8]Daniel Weidner, Martin Atzmueller, Dietmar Seipel:
Finding Maximal Non-Redundant Association Rules in Tennis Data. CoRR abs/1909.00985 (2019) - [i7]Martin Atzmueller, Çiçek Güven, Dietmar Seipel:
Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations. CoRR abs/1909.03404 (2019) - [i6]Spyroula Masiala, Willem Huijbers, Martin Atzmueller:
Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks. CoRR abs/1909.03428 (2019) - 2018
- [c112]Martin Atzmueller, Daan Kolkman, Werner Liebregts, Arjan Haring:
Towards Estimating Happiness using Social Sensing: Perspectives on Organizational Social Network Analysis. AfCAI 2018 - [c111]Lisa E. Rombout, Martin Atzmüller, Marie Postma-Nilsenová:
Towards Estimating Collective Motor Behavior: Aware of Self vs. Aware of the Other. AfCAI 2018 - [c110]Martin Atzmueller:
Compositional Subgroup Discovery on Attributed Social Interaction Networks. DS 2018: 259-275 - [c109]Martin Atzmueller, Henry Soldano, Guillaume Santini, Dominique Bouthinon:
MinerLSD: Efficient Local Pattern Mining on Attributed Graphs. ICDM Workshops 2018: 219-228 - [c108]Martin Atzmueller, Benjamin Klöpper:
Mining Attributed Interaction Networks on Industrial Event Logs. IDEAL (2) 2018: 94-102 - [c107]Eric Sternberg, Martin Atzmueller:
Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context. ISMIS 2018: 67-77 - [c106]Andrew T. Hendrickson, Jason Wang, Martin Atzmueller:
Identifying Exceptional Descriptions of People Using Topic Modeling and Subgroup Discovery. ISMIS 2018: 454-462 - [c105]Martijn van Otterlo, Martin Atzmueller:
On Requirements and Design Criteria for Explainability in Legal AI. XAILA@JURIX 2018: 29-32 - [c104]Mark Kibanov, Martin Becker, Juergen Mueller, Martin Atzmueller, Andreas Hotho, Gerd Stumme:
Adaptive kNN using expected accuracy for classification of geo-spatial data. SAC 2018: 857-865 - [c103]Martin Atzmueller, Florian Lemmerich:
Homophily at Academic Conferences. WWW (Companion Volume) 2018: 109-110 - [c102]Martin Atzmueller, Sabrina Gaito, Roberto Interdonato, Rushed Kanawati, Christine Largeron, Matteo Magnani, Alessandra Sala:
International Workshop on Mining Attributed Networks (MATNET 2018) Chairs' Welcome. WWW (Companion Volume) 2018: 1231-1233 - [c101]Martin Atzmueller, Alvin Chin, Christoph Trattner:
International Workshop on Modeling Social Media (MSM 2018) Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1307-1308 - [r1]Martin Atzmueller:
Community Detection and Analysis on Attributed Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i5]