Publications

2026

• Felix Igelbrink, Lennart Niecksch, Marian Renz, Martin Günther, Martin Atzmueller
  "LIEREx: Language-Image Embeddings for Robotic Exploration"
  KI-Künstliche Intelligenz
  2026.
  doi.org/10.1007/s13218-026-00902-6
• David Massanés, Martin Atzmueller
  "Time series feature extraction and crop type classification on spatiotemporal soil sensor network data"
  46. GIL-Jahrestagung, Datenräume in der Land-, Forst- und Ernährungswirtschaft
  pp. 104--115, 2026.
  doi.org/10.18420/giljt2026_08
• Marian Renz, Martin Günther, Felix Igelbrink, Oscar Lima, Martin Atzmueller
  "ExPrIS: Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data"
  KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e. V. (KI)
  2026.
  doi.org/10.1007/s13218-026-00901-7
• Alessandro Umbrico, Sebastian Stock, Martin Atzmueller, Amedeo Cesta, Elisa Foderaro, Joachim Hertzberg, Oscar Lima, Juan Carlos Saborío, Marc Vinci, Nicola Pedrocchi, Andrea Orlandini
  "Towards Reconfigurability of Plan-Based Controllers Through Metacognition"
  Social Robotics + AI : 17th International Conference, ICSR+AI 2025, Naples, Italy, September 10–12, 2025, Proceedings, Part II
  2026.
  doi.org/10.1007/978-981-95-2382-5_42
• Xiao, Alina Griesel, Wei, Martin Atzmueller
  "Improving transparency in machine learning for agriculture: a case study on mushroom classification using CNN and Grad-CAM"
  46. GIL-Jahrestagung, Datenräume in der Land-, Forst- und Ernährungswirtschaft
  pp. 176-187, 2026.

2025

• Arnab Ghosh Chowdhury, Amos Smith, Martin Atzmueller
  "Enhancing Convolutional Block Attention with Self-Attention on Agricultural Image Classification"
  2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)
  pp. 402-407, 2025.
  doi.org/10.1109/ICTAI66417.2025.00060
• Lena Herrmann, Alina Griesel, Carmen Moßner, Jan-Philipp Schwarze, Martin Atzmueller
  "From Laboratory State into Production: Automating Hyperspectral Image Classification through MLOps"
  Proceedings 2025 IEEE 37th International Conference on Tools with Artificial Intelligence ICTAI 2025 : International Conference on Tools with Artificial Intelligence (AAAI SSS-2025), November 3-5, Athen, Greece
  2025.
• Oscar Lima, Marc Vinci, Sunandita Patra, Sebastian Stock, Joachim Hertzberg, Martin Atzmueller, Malik Ghallab, Dana Nau, Paolo Traverso
  "Acting and Planning with Hierarchical Operational Models on a Mobile Robot: A Study with RAE+UPOM"
  2025 European Conference on Mobile Robots (ECMR) : Proceedings : September 2-5, 2025, Padua, Italy
  2025.
  doi.org/10.1109/ECMR65884.2025.11162965
• Steffen Meinert, Philipp Schlinge, Nils Strodthoff, Martin Atzmueller
  "ProtoMask: Segmentation-Guided Prototype Learning"
  2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)
  pp. 881--888, 2025.
  doi.org/10.1109/ICTAI66417.2025.00128
• Marian Renz, Felix Igelbrink, Martin Atzmueller
  "Integrating prior observations for incremental 3D scene graph prediction"
  International conference on machine learning and applications
  2025.
  doi.org/10.48550/arXiv.2509.11895
• Juan Carlos Saborío Morales, Marc Vinci, Oscar Lima, Sebastian Stock, Lennart Niecksch, Martin Günther, Alexander Sung, Joachim Hertzberg, Martin Atzmueller
  "Uncertainty-Resilient Active Intention Recognition for Robotic Assistants"
  2025 European Conference on Mobile Robots (ECMR) : Proceedings : September 2-5, 2025, Padua, Italy
  2025.
  doi.org/10.1109/ECMR65884.2025.11163230
• Philipp Schlinge, Steffen Meinert, Martin Atzmueller
  "Comprehensive Evaluation of Prototype Neural Networks"
  KI - Künstliche Intelligenz
  2025.
  doi.org/10.1007/s13218-025-00900-0
• Amos Smith, Nael Jaber, Leif Christensen, Martin Atzmueller
  "BLENDgänger: Generating Synthetic MBES Data for Underwater UXO Perception Tasks"
  OCEANS 2025 - Great Lakes
  pp. 1-9, 2025.
  doi.org/10.23919/OCEANS59106.2025.11245155
• Tim Hildebrandt, Xiao Wei
  "Artificial Intelligence’s Influence on Political Systems: A Systems-Theoretical Analysis"
  Ethics in the Age of AI: Navigating Politics and Security
  pp. 96, 2025.
• Xiao Wei, Tim Hildebrandt
  "Computer vision for public policy: Technological foundations, practical use cases, and ethical considerations"
  AI and the Future of Democracy
  pp. 104--125, 2025.

2024

• "Artificial Intelligence. ECAI 2023 International Workshops"
  2024.
  doi.org/10.1007/978-3-031-50396-2
• Dan Hudson, Martin Atzmueller
  "Subgroup Discovery with SD4Py"
  Artificial Intelligence. ECAI 2023 International Workshops
  2024.
  doi.org/10.1007/978-3-031-50396-2_19
• Moritz Lucas, Viacheslav Barkov, Ralf Pecenka, Martin Atzmueller, Björn Waske
  "Mapping Trees Outside Forests Using Semantic Segmentation"
  IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium : Proceedings : 7-12 July, 2024, Athens, Greece
  2024.
  doi.org/10.1109/IGARSS53475.2024.10641035
• Dietmar Seipel, Marcel Waleska, Daniel Weidner, Sven Rausch, Martin Atzmueller
  "Post–mining on Association Rule Bases"
  Artificial Intelligence. ECAI 2023 International Workshops
  2024.
  doi.org/10.1007/978-3-031-50485-3_2

2023

• Martin Ben Ahmed, Niklas Wilming, Martin Atzmueller
  "Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries"
  IEEE International Conference on Industrial Informatics (INDIN)
  2023.
  doi.org/10.1109/INDIN51400.2023.10218172
• Martin Atzmueller, Sophia Sylvester, Rushed Kanawati
  "Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis"
  ACM International Conference Proceeding Series
  2023.
  doi.org/10.1145/3590777.3590803
• Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller
  "Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches"
  INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
  2023.
  doi.org/10.1007/s41060-023-00452-2
• Tim Bohne, Anne-Kathrin Patricia Windler, Martin Atzmueller
  "A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain"
  2023.
  doi.org/10.1145/3587259.3627546
• 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"
  IEEE International Conference on Industrial Informatics (INDIN)
  2023.
  doi.org/10.1109/INDIN51400.2023.10217859
• J.M. Górriz, I. Álvarez-Illán, A. Álvarez-Marquina, J.E. Arco, M. Atzmueller, F. Ballarini, E. Barakova, G. Bologna, P. Bonomini, G. Castellanos-Dominguez, D. Castillo-Barnes, S.B. Cho, R. Contreras, J.M. Cuadra, E. Domínguez, F. Domínguez-Mateos, R.J. Duro, D. Elizondo, A. Fernández-Caballero, E. Fernandez-Jover, M.A. Formoso, N.J. Gallego-Molina, J. Gamazo, J. García González, J. Garcia-Rodriguez, C. Garre, J. Garrigós, A. Gómez-Rodellar, P. Gómez-Vilda, M. Graña, B. Guerrero-Rodriguez, S.C.F. Hendrikse, C. Jimenez-Mesa, M. Jodra-Chuan, V. Julian, G. Kotz, K. Kutt, M. Leming, J. {de Lope}, B. Macas, V. Marrero-Aguiar, J.J. Martinez, F.J. Martinez-Murcia, R. Martínez-Tomás, J. Mekyska, G.J. Nalepa, P. Novais, D. Orellana, A. Ortiz, D. Palacios-Alonso, J. Palma, A. Pereira, P. Pinacho-Davidson, M.A. Pinninghoff, M. Ponticorvo, A. Psarrou, J. Ramírez, M. Rincón, V. Rodellar-Biarge, I. Rodríguez-Rodríguez, P.H.M.P. Roelofsma, J. Santos, D. Salas-Gonzalez, P. Salcedo-Lagos, F. Segovia, A. Shoeibi, M. Silva, D. Simic, J. Suckling, J. Treur, A. Tsanas, R. Varela, S.H. Wang, W. Wang, Y.D. Zhang, H. Zhu, Z. Zhu, J.M. Ferrández-Vicente
  "Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends"
  Information Fusion
  vol. 100, pp. 101945, 2023.
  doi.org/10.1016/j.inffus.2023.101945
• Marina Hoehne, Sharvari Raut, Martin Atzmueller, Barbara Sturm
  "Explainable AI Methods for Multimodal Data in the Circular Bioeconomy (Abstract)"
  Presented at the Circular Bioeconomy Systems (CBS) Day, ASABE Annual International Meeting (AIM)
  2023.
• Jurgen van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller
  "Advanced Analytics on Complex Industrial Data"
  2023.
  doi.org/10.1007/978-3-031-19554-9_9
• Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller
  "Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study"
  10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023
  pp. 1--2, 2023.
  doi.org/10.1109/DSAA60987.2023.10302625
• Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller
  "Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study"
  International Journal of Data Science and Analytics
  2023.
  doi.org/10.1007/s41060-023-00440-6
• Dan Hudson, Ruud JR Den Hartigh, L Rens A Meerhoff, Martin Atzmueller
  "Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data"
  2023 IEEE International Conference on Data Mining Workshops (ICDMW)
  pp. 949--957, 2023.
• Dan Hudson, Ruud. J. R. Hartigh, L. Rens A. Meerhoff, Martin Atzmueller
  "Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data"
  2023 IEEE International Conference on Data Mining Workshops (ICDMW)
  2023.
  doi.org/10.1109/ICDMW60847.2023.00126
• Dan Hudson, Martin Atzmueller
  "Subgroup Discovery with sd4Py"
  European Conference on Artificial Intelligence
  pp. 338--348, 2023.
• Mouloud Iferroudjene, Corentin Lonjarret, Celine Robardet, Marc Plantevit, Martin Atzmueller
  "Methods for Explaining Top-N Recommendations Through Subgroup Discovery"
  Data Mining and Knowledge Discovery
  vol. 37, pp. 833-872, 2023.
• Mouloud Iferroudjene, Corentin Lonjarret, Celine Robardet, Marc Plantevit, Martin Atzmueller
  "Methods for explaining Top-N recommendations through subgroup discovery"
  Data Mining and Knowledge Discovery
  2023.
  doi.org/10.1007/s10618-022-00897-2
• Eric Lanfer, Sophia Sylvester, Nils Aschenbruck, Martin Atzmueller
  "Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets"
  Proceedings of the 48th IEEE Conference on Local Computer Networks : LCN 2023 : October 1-5, 2023, Daytona Beach, Florida, USA
  2023.
  doi.org/10.1109/LCN58197.2023.10223401
• Andreas Schliebitz, Heiko Tapken, Martin Atzmueller
  "Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification"
  Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023
  vol. 3630, pp. 399--413, 2023.
• Benjamin Schoene, Sophia Sylvester, Merle Sagehorn, Thomas Gruber, Martin Atzmueller
  "SHAP VALUE BASED ERP ANALYSIS (SHERPA): INCREASING THE SENSITIVITY OF EEG SIGNALS WITH EXPLAINABLE AI METHODS"
  PSYCHOPHYSIOLOGY
  2023.
• Leonid Schwenke, Martin Atzmueller
  "Extracting Interpretable Local and Global Representations from Attention on Time Series"
  arXiv preprint arXiv:2312.11466
  2023.
• 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"
  Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
  2023.
  doi.org/10.32473/flairs.36.133109
• Leonid Schwenke, Martin Atzmueller
  "Making Time Series Embeddings More Interpretable in Deep Learning: Extracting Higher-Level Features via Symbolic Approximation Representations"
  Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
  2023.
  doi.org/10.32473/flairs.36.133107
• Dietmar Seipel, Marcel Waleska, Daniel Weidner, Sven Rausch, Martin Atzmueller
  "Post--mining on Association Rule Bases"
  European Conference on Artificial Intelligence
  pp. 23--35, 2023.
• 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
  2023.
  doi.org/10.3390/data8030045
• Freddy Sikouonmeu, Martin Atzmueller
  "Active-learning-driven deep interactive segmentation for cost-effective labeling of crop-weed image data"
  Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
  2023.
• Maciej Szelążek, Dan Hudson, Szymon Bobek, Grzegorz J. Nalepa, Martin Atzmueller
  "Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery"
  2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)
  pp. 1-11, 2023.
  doi.org/10.1109/DSAA60987.2023.10302465

2022

• Martin Atzmueller, Rushed Kanawati
  "Explainability in Cyber-Security using Complex Network Analysis: A Brief Methodological Overview"
  Proc. European Interdisciplinary Cybersecurity Conference (EICC)
  2022.
• Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller
  "Multivariate Time Series Regression with Graph Neural Networks"
  CoRR
  vol. abs/2201.00818, 2022.
  doi.org/10.48550/arxiv.2201.00818
• Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovi{\'c}, Alberto Michelini, Martin Atzmueller
  "Rapid prediction of ground shaking intensity with Graph Neural Networks"
  Proceedings of the Third European Conference on Earthquake Engineering and Seismology -- 3ECEES
  2022.
• Dan Hudson, Travis J. Wiltshire, Martin Atzmueller
  "Visualization Methods for Exploratory Subgroup Discovery on Time Series Data"
  Proc. International Work-Conference on the Interplay between Natural and Artificial Computation
  2022.
• Dan Hudson, Travis J. Wiltshire, Martin Atzmueller
  "multiSyncPy: A Python Package for Assessing Multivariate Coordination Dynamics"
  Behavior Research Methods
  pp. 1--31, 2022.
• Parisa Shayan, Menno van Zaanen, Martin Atzmueller
  "Predicting User Dropout from their Online Learning Behavior"
  Proc. International Conference on Discovery Science
  2022.

2021

• Martin Atzmueller, Grzegorz J. Nalepa, Szymon Bobek, Nada Lavrac (ed.)
  "Proceedings of the Workshop on Semantic Data Mining (SEDAMI) 2021 co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), Montreal-themed virtual reality, August 20, 2021 (Virtual Workshop)"
  vol. 3032, 2021.
• Martin Atzmueller, Grzegorz J Nalepa, Szymon Bobek, Nada Lavrac
  "Semantic Data Mining: A Brief Outline"
  Proceedings of the International Workshop on Semantic Data Mining (SEDAMI 2021), co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)
  vol. 3032, pp. 1--5, 2021.
• 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
  vol. abs/2105.05316, 2021.
  doi.org/10.48550/arxiv.2105.05316
• Carolina Centeio Jorge, Martin Atzmueller, Behzad M Heravi, Jenny L Gibson, Rosaldo JF Rossetti, Cláudio Rebelo de Sá
  "“Want to come play with me?” Outlier subgroup discovery on spatio-temporal interactions"
  Expert Systems
  2021.
• Arnab Ghosh Chowdhury, Nils Schut, Martin Atzmüller
  "A Hybrid Information Extraction Approach using Transfer Learning on Richly-Structured Documents"
  Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021
  vol. 2993, pp. 13--25, 2021.
• Ngoc Doan, Dan Hudson, Travis 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"
  Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP'21 Adjunct), Utrecht, Netherlands, June 21-25, 2021
  2021.
• Cicek Guven, Dietmar Seipel, Martin Atzmueller
  "Applying ASP for Knowledge-Based Link Prediction with Explanation Generation in Feature Rich Networks"
  IEEE Transactions on Network Science and Engineering
  vol. 8, no. 2, pp. 1305--1315, 2021.
• Dan Hudson, Travis Wiltshire, Martin Atzmueller
  "Comparing Methods to Quantify Multivariate Synchrony with multiSyncPy, using Simulated Noise, Kuramoto Oscillators and Human Movement Data (Abstract)"
  Proc. Conference on Complex Systems 2021
  2021.
• Dan Hudson, Leonid Schwenke, Stefan Bloemheuvel, Arnab Ghosh Chowdhury, Nils Schut, Martin Atzmueller
  "Knowledge-Augmented Induction of Complex Networks on Supply--Demand--Material Data"
  Proceedings of the International Workshop on Semantic Data Mining (SEDAMI 2021), co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)
  vol. 3032, pp. 1--5, 2021.
• Dan Hudson, Travis J. Wiltshire, Martin Atzmueller
  "Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data"
  Discovery Science
  pp. 435--445, 2021.
  doi.org/10.1007/978-3-030-88942-5_34
• Dan Hudson, Travis J Wiltshire, Martin Atzmueller
  "Local Exceptionality Detection in Time Series Using Subgroup Discovery"
  arXiv preprint arXiv:2108.11751
  2021.
• Dan Hudson, Travis J Wiltshire, Martin Atzmueller
  "Multivariate Coordination Dynamics"
  2021.
• Timo Markert, Andreas Theissler, Martin Atzmueller
  "Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation"
  Proc. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
  2021.
• Jan Schoenke, Nils Aschenbruck, Roberto Interdonato, Rushed Kanawati, Ann-Christin Meisener, Francois Thierart, Guillaume Vial, Martin Atzmueller
  "Gaia-AgStream: An Explainable AI Platform for Mining Complex Data Streams in Agriculture"
  Proc. International Conference on Smart and Sustainable Agriculture (SSA)
  2021.
• Leonid Schwenke, Martin Atzmueller
  "Abstracting Local Transformer Attention for Enhancing Interpretability on Time Series Data"
  Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021
  vol. 2993, pp. 205--218, 2021.
• Dietmar Seipel, Martin Atzmueller
  "Declarative Knowledge Discovery in Databases via Meta--Learning--Towards Advanced Analytics"
  Proceedings of the International Workshop on Semantic Data Mining (SEDAMI 2021), co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)
  vol. 3032, pp. 1--5, 2021.
• Simon Vollert, Martin Atzmueller, Andreas Theissler
  "Interpretable Machine Learning: A Brief Survey From the Predictive Maintenance Perspective"
  Proc. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
  2021.
• Travis J. Wiltshire, Dan Hudson, Max Belitsky, Philia Lijdsman, Stijn Wever, Martin Atzmueller
  "Examining Team Interaction using Dynamic Complexity and Network Visualizations"
  2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS)
  pp. 1--6, 2021.
  doi.org/10.1109/ICHMS53169.2021.9582454

2020

• Martin Atzmueller, {\c{C}}içek Güven, Parisa Shayan, Spyroula Masiala, Rick Mackenbach, Werner Liebregts
  "Behavioral Link Analytics on Heterogeneous Human Interaction Networks"
  International Journal of Transdisciplinary Artificial Intelligence
  vol. 2, no. 1, 2020.
• Martin Atzmüller, Michele Coscia, Rokia Missaoui (ed.)
  "IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, The Hague, Netherlands, December 7-10, 2020"
  2020.
  doi.org/10.1109/ASONAM49781.2020
• Martin Atzmueller, Tomas Kliegr, Ute Schmid (ed.)
  "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)."
  vol. 2796, 2020.
• Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller
  "Complex Network Modeling of Supply and Demand Data: An Application Case in the Plastics Recycling Industry (Abstract)"
  Presented at the INSNA Sunbelt XL International Social Network Conference
  2020.
• Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller
  "Graph Signal Processing on Complex Networks for Structural Health Monitoring"
  Proc. International Conference on Complex Networks and Their Applications
  pp. 249--261, 2020.
• Jurgen van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller
  "An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis"
  Proc. 2020 IEEE International Conference on Data Mining Workshops (ICDMW)
  2020.
• Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller
  "Why Should I Trust This Item? Explaining the Recommendations of any Model"
  Proc. IEEE International Conference on Data Science and Advanced Analytics (DSAA)
  pp. 526--535, 2020.
• Asep Maulana, Martin Atzmueller
  "Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization"
  Proc. 7th International Conference on Control, Decision and Information Technologies (CoDIT)
  vol. 1, pp. 633--638, 2020.
  doi.org/10.1109/CoDIT49905.2020.9263819
• Dennis Mollenhauer, Martin Atzmueller
  "Sequential Exceptional Pattern Discovery Using Pattern-Growth: An Extensible Framework for Interpretable Machine Learning on Sequential Data"
  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)
  vol. 2796, 2020.
• Grzegorz J. Nalepa, Martin Atzmueller, Michal Araszkiewicz, Paulo Novais (ed.)
  "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"
  vol. 2681, 2020.

2019

• Martin Atzmueller, Wouter Duivesteijn (ed.)
  "Artificial Intelligence"
  BNAIC Postproceedings 2018
  vol. 11406, 2019.
• Martin Atzmueller, Cicek G\"uven, Spyroula Masiala, Rick Mackenbach, Parisa Shayan, Werner Liebregts
  "Behavioral Analysis on Socio-Spatial Interaction Networks concerning User Preferences, Interactions and their Perception"
  Proc. ABIS 2019/ACM Hypertext 2019
  2019.
• Martin Atzmueller, Alvin Chin, Florian Lemmerich, Christoph Trattner (ed.)
  "Big Data Analytics in the Social and Ubiquitous Context"
  MSM/MUSE Postproceedings 2015/2016
  vol. 11406, 2019.
• Martin Atzmueller, Stefan Bloemheuvel, Benjamin Kloepper and
  "A Framework for Human-Centered Exploration of Complex Event Log Graphs"
  Proc. International Conference on Discovery Science (DS 2019)
  2019.
• Martin Atzmueller, Henry Soldano, Guillaume Santini, Dominique Bouthinon
  "MinerLSD: Efficient Mining of Local Patterns on Attributed Networks"
  Applied Network Science
  vol. 4, no. 43, 2019.
• Martin Atzmueller
  "Onto Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction Networks"
  Proc. WWW 2019 (Companion)
  2019.
• Martin Atzmueller, Cicek Guven
  "A Multi-Perspective View on Model-Based Exceptional Link Analysis on Complex Interaction Networks "
  2019.
• Martin Atzmueller, Cicek G\"uven, Parisa Shayan, Spyroula Masiala, Rick Mackenbach, Werner Liebregts
  "Observing and Modeling User Behavior on Socio-Spatial Interaction Networks: Conformance, Exceptions, and Anomalies"
  Proc. IEEE International Conference on Transdisciplinary Artificial Intelligence
  2019.
• Martin Atzmueller, {\c{C}}içek Güven, Dietmar Seipel
  "Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations"
  CoRR
  vol. abs/1909.03404, 2019.
  doi.org/10.48550/arxiv.1909.03404
• Martin Atzmueller
  "Towards Socio-Technical Design of Explicative Systems: Transparent, Interpretable and Explainable Analytics and its Perspectives in Social Interaction Contexts "
  Proc. Workshop on Affective Computing and Context Awareness in Ambient Intelligence
  2019.
• Stefan Bloemheuvel, Benjamin Kloepper, Jurgen van den Hoogen, Martin Atzmueller
  "Enhancing Sequential Pattern Mining Explainability with Markov Chain Probabilities"
  Proc. Dutch-Belgian Database Day
  2019.
• Stefan Bloemheuvel, Benjamin Kloepper, Martin Atzmueller
  "Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs"
  Proc. Workshop on Methods for Interpretation of Industrial Event Logs, International Conference on Business Process Management
  2019.
• Stefan Bloemheuvel, Martin Atzmueller, Marie Postma
  "Stratification-Oriented Analysis of Community Structure in Networks of Face-to-Face Proximity"
  Behavioral Analytics in Social and Ubiquitous Environments
  vol. 11406, 2019.
• Carolina Centeio-Jorge, Martin Atzmueller, Behzad M. Heravi, Jenny L. Gibson, Cláudio Rebelo de Sá, Rosaldo Rossetti
  "Mining Exceptional Social Behaviour"
  Proc. EPIA Conference on Artificial Intelligence
  2019.
• 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"
  Proc. Workshop on Affective Computing and Context Awareness in Ambient Intelligence
  2019.
• Ngoc N. T. Doan, Andrius Penkauskas, Ecaterina Grigoriev, Lisa E. Rombout, Paris Mavromoustakos-Blom, Martin Atzmueller, Maryam Alimardani
  "Towards Multimodal Analysis of Dialogic Moments in Storytelling-based Discourse"
  Proc. Student Research Conference 2019
  2019.
• Lukas Eberhard, Christoph Trattner, Martin Atzmueller
  "Predicting Trading Interactions in an Online Marketplace through Location-Based and Online Social Networks"
  Information Retrieval Journal
  vol. 22, no. 2, 2019.
• Cicek Guven, Martin Atzmueller
  "Applying Answer Set Programming for Knowledge-Based Link Prediction on Social Interaction Networks"
  Frontiers in Big Data
  2019.
• Jurgen van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller
  "The Di-Plast Data Science Toolkit – Enabling a Smart Data-Driven Digital Circular Economy for the Plastics Industry"
  Proc. Dutch-Belgian Database Day
  2019.
• Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron, Alessandra Sala
  "Feature-Rich Networks: Going Beyond Complex Network Topologies"
  Applied Network Science
  vol. 4, no. 4, 2019.
• Rushed Kanawati, Martin Atzmueller
  "Modeling and Mining Feature-Rich Networks"
  Proc. WWW 2019 (Companion)
  2019.
• Mark Kibanov, Raphael Heiberger, Simone Roedder, Martin Atzmueller, Gerd Stumme
  "Social Studies of Scholarly Live with Sensor-based Ethnographic Observations"
  Scientometrics
  vol. 119, no. 3, pp. 1387-1428, 2019.
• Werner Liebregts, Pourya Darnihamedani, Eric Postma, Martin Atzmueller
  "The Promise of Social Signal Processing for Research on Decision Making in Entrepreneurial Contexts"
  Small Business Economics. Special Issue on Big Data and Artificial Intelligence
  2019.
• Spyroula Masiala, Willem Huijbers, Martin Atzmueller
  "Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks"
  CoRR
  vol. abs/1909.03428, 2019.
• Sebastiaan Merino, Martin Atzmueller
  "Multimodal Behavioral Mobility Pattern Mining and Analysis using Topic Modeling on GPS Data"
  Behavioral Analytics in Social and Ubiquitous Environments
  vol. 11406, 2019.
• Grzegorz J. Nalepa, Martin Atzmueller, Michal Araszkiewicz, Paulo Novais (ed.)
  "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"
  vol. 2381, 2019.
• 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"
  Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems
  vol. 11979, pp. 132--147, 2019.
• 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"
  Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26-29, 2019, Revised Selected Papers
  vol. 11979, pp. 132--147, 2019.
  doi.org/10.1007/978-3-030-37446-4_11
• Roberto Rondinelli, Giancarlo Ragozini, Martin Atzmueller
  "Looking for Best Descriptors to Map Networks via Subgroup Discovery. First Results From a Simulation Study"
  2019.
• Parisa Shayan, Roberto Rondinelli, Menno van Zaanen, Martin Atzmueller
  "Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context"
  Proc. ABIS 2019/ACM Hypertext 2019
  2019.
• Benjamin Kloepper Stefan Bloemheuvel, Martin Atzmueller
  "Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs"
  Accepted Resubmission/Poster at LWDA 2019 (KDML)
  2019.
• Daniel Weidner, Martin Atzmueller, Dietmar Seipel
  "Finding Maximal Non-redundant Association Rules in Tennis Data"
  Declarative Programming and Knowledge Management - Conference on Declarative Programming, DECLARE 2019, Unifying INAP, WLP, and WFLP, Cottbus, Germany, September 9-12, 2019, Revised Selected Papers
  vol. 12057, pp. 59--78, 2019.
  doi.org/10.1007/978-3-030-46714-2\_4

2018

• Martin Atzmueller, Lisa Thiele, Gerd Stumme, Simone Kauffeld
  "Analyzing Group Interaction on Networks of Face-to-Face Proximity using Wearable Sensors"
  Proc. IEEE International Conference on Future IoT Technologies
  2018.
• Martin Atzmueller
  "Compositional Subgroup Discovery on Attributed Social Interaction Networks"
  Proc. International Conference on Discovery Science
  2018.
• Martin Atzmueller
  "Declarative Aspects in Explicative Data Mining for Computational Sensemaking"
  Proc. International Conference on Declarative Programming
  pp. 97--114, 2018.
• Martin Atzmueller, Naveed Hayat, Matthias Trojahn, Dennis Kroll
  "Explicative Human Activity Recognition using Adaptive Association Rule-Based Classification"
  Proc. IEEE International Conference on Future IoT Technologies
  2018.
• Martin Atzmueller, Florian Lemmerich
  "Homophily at Academic Conferences"
  Proc. WWW 2018 (Companion)
  2018.
• Martin Atzmueller, Henry Soldano, Guillaume Santini, Dominique Bouthinon
  "MinerLSD: Efficient Local Pattern Mining on Attributed Graphs"
  Proc. 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
  2018.
• Martin Atzmueller, Benjamin Kloepper
  "Mining Attributed Interaction Networks on Industrial Event Logs"
  Proc. International Conference on Intelligent Data Engineering and Automated Learning
  2018.
• Martin Atzmueller, Alvin Chin, Christoph Trattner (ed.)
  "Proceedings MSM 2018: Workshop on Modeling Social Media - Applying Machine Learning and AI for Modeling Social Medi"
  2018.
• Martin Atzmueller, Daan Kolkman, Werner Liebregts, Arjan Haring
  "Towards Estimating Happiness using Social Sensing: Perspectives on Organizational Social Network Analysis"
  Proc. Workshop on Affective Computing and Context Awareness in Ambient Intelligence
  2018.
• Stefan Bloemheuvel, Martin Atzmueller, Marie Postma
  "Evolution of Contacts and Communities in Social Interaction Networks of Face-to-Face Proximity"
  Proc. BNAIC
  2018.
• Andrew Hendrickson, Jason Wang, Martin Atzmueller
  "Identifying Exceptional Descriptions of People using Topic Modeling and Subgroup Discovery"
  Proc. 24th International Symposium on Methodologies for Intelligent Systems (ISMIS)
  2018.
• Andrew Hendrickson, Jason Wang, Martin Atzmueller
  "Identifying Exceptional Descriptions of People using Topic Modeling and Subgroup Discovery (Extended Abstract, Resubmission)"
  Proc. BNAIC
  2018.
• Rushed Kanawati, Martin Atzmueller
  "Mining Attributed Networks"
  2018.
• Mark Kibanov, Martin Becker, J\"urgen M\"uller, Martin Atzmueller, Andreas Hotho, Gerd Stumme
  "Adaptive kNN Using Expected Accuracy for Classification of Geo-Spatial Data"
  Proc. 33rd ACM Symposium On Applied Computing
  2018.
• Werner Liebregts, Pourya Darnihamedani, Eric Postma, Martin Atzmueller
  "The Promise of Data Science Methods for Research on Entrepreneurial Decision Making: Detecting Social Signals during Human Interactions"
  IECER Conference 2018 -- Interdisciplinary European Conference on Entrepreneurship Research
  2018.
• Spyroula Masiala, Martin Atzmueller
  "First Perspectives on Explanation in Complex Network Analysis"
  Proc. BNAIC
  2018.
• Spyroula Masiala, Martin Atzmueller
  "Towards Explainable Complex Network Analysis"
  Proc. Dutch-Belgian Database Day
  2018.
• Sebastiaan Merino, Martin Atzmueller
  "Behavioral Topic Modeling on Naturalistic Driving Data"
  Proc. BNAIC
  2018.
• Grzegorz J. Nalepa, Martijn van Otterlo, Szymon Bobek, Martin Atzmueller
  "From Context Mediation to Declarative Values and Explainability"
  Proc. IJCAI/ECAI Workshop on Explainable Artificial Intelligence (XAI-18)
  2018.
• Martijn van Otterlo, Martin Atzmueller
  "On Requirements and Design Criteria for Explainability in Legal AI"
  Proc. Workshop on Explainable AI in Law (XAILA), co-located with 31st International Conference on Legal Knowledge and Information Systems (JURIX)
  2018.
• Lisa Rombout, Martin Atzmueller, Marie Postma
  "Towards Estimating Collective Motor Behavior: Aware of Self vs. Aware of the Other"
  Proc. Workshop on Affective Computing and Context Awareness in Ambient Intelligence
  2018.
• Eric Sternberg, Martin Atzmueller
  "Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context"
  Proc. 24th International Symposium on Methodologies for Intelligent Systems (ISMIS)
  2018.
• Lisa Thiele, Martin Atzmueller, Gerd Stumme, Simone Kauffeld
  "Frequently and/or Durable? The Predictive Impact of Initial Face-to-Face Contacts on the Formation and Evolution of Developmental Peer Network Relationships"
  Psychology
  2018.

2017

• Martin Atzmueller, David Arnu, Andreas Schmidt
  "Anomaly Detection and Structural Analysis in Industrial Production Environments"
  Proc. International Data Science Conference (IDSC 2017)
  2017.
• Martin Atzmueller, David Arnu, Andreas Schmidt
  "Anomaly Analytics and Structural Assessment in Process Industries"
  Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017)
  2017.
• Martin Atzmueller, Martin Becker, Andrea Molino, Juergen Mueller, Jan Peters, Alina Sirbu
  "Applications for Environmental Sensing in EveryAware"
  Participatory Sensing, Opinions and Collective Awareness
  2017.
• Martin Atzmueller, Martin Becker, Juergen Mueller
  "Collective Sensing Platforms"
  Participatory Sensing, Opinions and Collective Awareness
  2017.
• Martin Atzmueller
  "Community Detection and Analysis on Attributed Social Networks"
  Encyclopedia of Social Network Analysis and Mining
  2017.
• Martin Atzmueller, Lisa Thiele, Gerd Stumme, Simone Kauffeld
  "Contact Patterns, Group Interaction and Dynamics on Socio-Behavioral Multiplex Networks"
  Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017)
  2017.
• Martin Atzmueller
  "Descriptive Community Detection"
  Formal Concept Analysis in Social Network Analysis
  2017.
• Martin Atzmueller
  "Exceptional Model Mining in Ubiquitous and Social Environments"
  Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017)
  2017.
• Martin Atzmueller, Naveed Hayat, Andreas Schmidt, Benjamin Kl\"opper
  "Explanation-Aware Feature Selection using Symbolic Time Series Abstraction: Approaches and Experiences in a Petro-Chemical Production Context"
  Proc. IEEE International Conference on Industrial Informatics
  2017.
• Martin Atzmueller
  "Onto Explicative Data Mining: Exploratory, Interpretable and Explainable Analysis"
  Proc. Dutch-Belgian Database Day
  2017.
• Martin Atzmueller, Andreas Schmidt, Benjamin Kloepper, David Arnu
  "HypGraphs: An Approach for Analysis and Assessment of Graph-Based and Sequential Hypotheses"
  New Frontiers in Mining Complex Patterns. Postproceedings NFMCP 2016
  vol. 10312, 2017.
• Martin Atzmueller, Eric Sternberg
  "Mixed-Initiative Feature Engineering Using Knowledge Graphs"
  Proc. 9th International Conference on Knowledge Capture (K-CAP)
  2017.
• Martin Atzmueller, Alvin Chin, Christoph Trattner (ed.)
  "Proceedings MSM 2017: Workshop on Modeling Social Media - Machine Learning and AI for Modeling and Analyzing Social Media"
  2017.
• Jens Folmer, Iris Kirchen, Emanuel Trunzer, Birgit Vogel-Heuser, Thorsten Pötter, Markus Graube, Sebastian Heinze, Leon Urbas, Martin Atzmueller, David Arnu
  "Big and Smart Data – Challenges in the Process Industries"
  atp edition
  vol. 01-02, 2017.
• Sidharta Gautama, Martin Atzmueller, Vasillis Kostakos, Dominique Gillis, Simo Hosio
  "Observing Human Activity Through Sensing"
  Participatory Sensing, Opinions and Collective Awareness
  2017.
• Sebastian Heinze, Markus Graube, Luise Schegner, David Arnu, Ralf Klinkenberg, Andreas Schmidt, Martin Atzmueller, Benjamin Kloepper, Marcel Dix, Martin Hollender, M. Chioua, Hassan Al Mawla, Alexander Rehmer, Andreas Kroll, G. Stumme, Leon Urbas
  "Big Data in der Prozessindustrie: Fr\"uhzeitige Erkennung und Entscheidungsunterst\"utzung"
  Proc. Automation 2017
  2017.
• Rushed Kanawati, Martin Atzmueller
  "Mining Attributed Networks"
  2017.
• Daniel Knoell, Martin Atzmueller, Constantin Rieder, Klaus Peter Scherer
  "A Scalable Framework for Data-Driven Ontology Evaluation"
  Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017)
  2017.
• Lisa Thiele, Nils Christian Sauer, Martin Atzmueller, Simone Kauffeld
  "The Co-Evolution of Career Aspirations and Peer Relationships in Psychology Bachelor Students: A Longitudinal Social Network Study"
  Journal of Vocational Behavior
  2017.

2016

• Martin Atzmueller
  "Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media"
  Solving Large Scale Learning Tasks: Challenges and Algorithms. Festschrift in Honour of Prof. Dr. Katharina Morik
  vol. 9580, 2016.
• Martin Atzmueller, Lisa Thiele, Gerd Stumme, Simone Kauffeld
  "Analyzing Group Interaction and Dynamics on Socio-Behavioral Networks of Face-to-Face Proximity"
  Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication
  2016.
• Martin Atzmueller, Alvin Chin, Frederik Janssen, Immanuel Schweizer, Christoph Trattner (ed.)
  "Big Data Analytics in the Social and Ubiquitous Context"
  MSM/MUSE Postproceedings 2014
  vol. 9546, 2016.
• Martin Atzmueller, Dennis Mollenhauer, Andreas Schmidt
  "Big Data Analytics Using Local Exceptionality Detection"
  Enterprise Big Data Engineering, Analytics, and Management
  2016.
• Martin Atzmueller, Benjamin Kloepper, Hassan Al Mawla, Benjamin J\"aschke, Martin Hollender, Markus Graube, David Arnu, Andreas Schmidt, Sebastian Heinze, Lukas Schorer, Andreas Kroll, Gerd Stumme, Leon Urbas
  "Big Data Analytics for Proactive Industrial Decision Support"
  atp edition
  vol. 58, no. 9, 2016.
• Martin Atzmueller
  "Community Detection: From Plain to Attributed Complex Networks"
  Proc. ACM Web Science Conference
  2016.
• Martin Atzmueller, Andreas Schmidt, Mark Kibanov
  "DASHTrails: An Approach for Modeling and Analysis of Distribution-Adapted Sequential Hypotheses and Trails"
  Proc. WWW 2016 (Companion)
  2016.
• Martin Atzmueller, Stephan Doerfel, Folke Mitzlaff
  "Description-Oriented Community Detection using Exhaustive Subgroup Discovery"
  Information Sciences
  vol. 329, pp. 965--984, 2016.
• Martin Atzmueller
  "Detecting Community Patterns Capturing Exceptional Link Trails"
  Proc. IEEE/ACM ASONAM
  2016.
• "Enterprise Big Data Engineering, Analytics and Management"
  2016.
• Martin Atzmueller, Andreas Ernst, Friedrich Krebs, Christoph Scholz, Gerd Stumme
  "Formation and Temporal Evolution of Social Groups During Coffee Breaks"
  Postproceedings of the International Workshops MUSE \& SenseML 2014, Nancy, France, and MSM 2014, Seoul, Korea
  2016.
• Martin Atzmueller, Andreas Schmidt, Benjamin Kloepper, David Arnu
  "HypGraphs: An Approach for Modeling and Comparing Graph-Based and Sequential Hypotheses"
  Proc. ECML-PKDD Workshop on New Frontiers in Mining Complex Patterns (NFMCP)
  2016.
• Martin Atzmueller
  "Local Exceptionality Detection on Social Interaction Networks"
  Proc. ECML-PKDD 2016: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  2016.
• Martin Atzmueller, Alvin Chin, Christoph Trattner (ed.)
  "Proceedings MSM 2016: Workshop on Modeling Social Media - Behavioral Analytics in Social Media, Big Data and the Web"
  2016.
• Martin Atzmueller, Björn Fries, Naveed Hayat
  "Sensing, Processing and Analytics - Augmenting the Ubicon Platform for Anticipatory Ubiquitous Computing"
  Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication
  2016.
• Martin Atzmueller, Andreas Schmidt, David Arnu
  "Sequential Modeling and Structural Anomaly Analytics in Industrial Production Environments"
  Proc. LWA 2016 (KDML Track)
  2016.
• Martin Atzmueller, Tom Hanika, Gerd Stumme, Richard Schaller, Bernd Ludwig
  "Social Event Network Analysis: Structure, Preferences, and Reality"
  Proc. IEEE/ACM ASONAM
  2016.
• Jörg Gebhardt, Thomas Froese, Andreas Krüger, Jörg Appel, Raphael Benner, Markus Hammer, Alexandra Altermann, Thomas Hochrein, Christoph Kugler, Phillip Jatzkowski, Yves-Simon Gloy, Marco Saggiomo, Rolf Roth, Inga Elixmann, Heiko Tapken, Wolfgang Weber, Martin Atzmueller, Jochen Garcke, Julia Pielmeier, Roland Rosen, Hasan Tercan
  "Statusreport: Chancen mit Big Data -- Best Practice"
  2016.
• Mark Kibanov, Martin Atzmueller, Jens Illig, Christoph Scholz, Alain Barrat, Ciro Cattuto, Gerd Stumme
  "Is Web Content a Good Proxy for Real-Life Interaction? A Case Study Considering Online and Offline Interactions of Computer Scientists (Extended Abstract, Resubmission)"
  Proc. LWA 2016 (KDML Track)
  2016.
• Benjamin Kl\"opper, Marcel Dix, Lukas Schorer, Ann Ampofo, Martin Atzmueller, David Arnu, Ralf Klinkenberg
  "Defining Software Architectures for Big Data Enabled Operator Support Systems"
  Proc. IEEE International Conference on Industrial Informatics
  2016.
• Daniel Knoell, Martin Atzmueller, Constantin Rieder, Klaus Peter Scherer
  "BISHOP – Big Data Driven Self-Learning Support for High-performance Ontology Population"
  Proc. LWA 2016 (FGWM Special Track)
  2016.
• Florian Lemmerich, Martin Atzmueller, Frank Puppe
  "Fast Exhaustive Subgroup Discovery with Numerical Target Concepts"
  Data Mining and Knowledge Discovery
  vol. 30, no. 3, pp. 711-762, 2016.
  doi.org/10.1007/s10618-015-0436-8
• Andreas Schmidt, Martin Atzmueller, Martin Hollender
  "Data Preparation for Big Data Analytics: Methods \& Experiences"
  Enterprise Big Data Engineering, Analytics, and Management
  2016.

2015

• Martin Atzmueller, Mark Kibanov, Naveed Hayat, Matthias Trojahn, Dennis Kroll
  "Adaptive Class Association Rule Mining for Human Activity Recognition"
  Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2015)
  2015.
• Martin Atzmueller, Mark Kibanov, Christoph Scholz, Juergen Mueller, Gerd Stumme
  "Conferator – A Ubiquitous System for Enhancing Social Networking at Conferences"
  Proc. UIS Workshop
  2015.
• Martin Atzmueller, Stephan Doerfel, Folke Mitzlaff
  "Fast Description-Oriented Community Detection using Subgroup Discovery (Extended Abstract, Resubmission)"
  Proc. LWA 2015 (KDML Track)
  2015.
• Martin Atzmueller, Juergen Mueller, Martin Becker
  "Mining, Modeling and Recommending 'Things' in Social Media"
  no. 8940, 2015.
• Martin Atzmueller, Alvin Chin, Christoph Scholz, Christoph Trattner (ed.)
  "Mining, Modeling and Recommending 'Things' in Social Media"
  4th International Workshops, MUSE 2013, Prague, Czech Republic, September 23, 2013, and MSM 2013, Paris, France, May 1, 2013, Revised Selected Papers
  vol. 8940, no. 1, 2015.
  doi.org/10.1007/978-3-319-14723-9
• Martin Atzmueller, Alvin Chin, Christoph Trattner (ed.)
  "Proceedings MSM 2015: Workshop on Modeling Social Media - Behavioral Analytics in Social Media, Big Data and the Web"
  2015.
• "Proceedings of the 2015 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015)"
  vol. 1521, 2015.
• Martin Atzmueller
  "Subgroup Discovery"
  WIREs Data Mining and Knowledge Discovery
  vol. 5, no. 1, pp. 35--49, 2015.
  doi.org/10.1002/widm.1144
• Martin Atzmueller
  "Subgroup and Community Analytics on Attributed Graphs"
  Proc. International Workshop on Social Network Analysis using Formal Concept Analysis (SNAFCA-2015)
  2015.
• Martin Atzmueller
  "Subgroup and Community Analytics"
  2015.
• Martin Atzmueller
  "Subgroup Discovery and Community Detection on Attributed Graphs"
  2015.
• Mark Kibanov, Martin Atzmueller, Jens Illig, Christoph Scholz, Alain Barrat, Ciro Cattuto, Gerd Stumme
  "Is Web Content a Good Proxy for Real-Life Interaction? A Case Study Considering Online and Offline Interactions of Computer Scientists"
  Proc. ASONAM
  2015.
• Daniel Knoell, Constantin Rieder, Martin Atzmueller, Klaus Peter Scherer
  "Towards Generating Test Ontologies using Subgroup Discovery"
  Proc. LWA 2015 (WM Special Track)
  2015.
• Andreas Schmidt, Martin Atzmueller, Gerd Stumme
  "The FEE Project: Introduction and First Insights"
  Proc. UIS Workshop
  2015.

2014

• Martin Atzmueller
  "Analyzing and Grounding Social Interaction in Online and Offline Networks"
  Proc. ECML/PKDD 2014: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  vol. 8726, pp. 485--488, 2014.
• Martin Atzmueller
  "Data Mining on Social Interaction Networks"
  Journal of Data Mining and Digital Humanities
  vol. 1, 2014.
• Martin Atzmueller, Harun Baraki, Kay Behrenbruch, Diana Comes, Christoph Evers, Axel Hoffmann, Holger Hoffmann, Silke Jandt, Mark Kibanov, Olga Kieselmann, Romy Kniewel, Immanuel K\"onig, Bj\"orn-Elmar Macek, Stefan Niemczyk, Christoph Scholz, Michaela Schuldt, Thomas Schulz, Hendrik Skistims, Matthias Söllner, Christian Voigtmann, Andreas Witsch, Julia Zirfas
  "Die VENUS-Entwicklungsmethode: Eine interdisziplinäre Methode für soziotechnische Softwaregestaltung"
  2014.
• Martin Atzmueller, Andreas Ernst, Friedrich Krebs, Christoph Scholz, Gerd Stumme
  "On the Evolution of Social Groups During Coffee Breaks"
  Proc. WWW 2014 (Companion)
  pp. 631--636, 2014.
• Martin Atzmueller, Lisa Thiele, Gerd Stumme, Simone Kauffeld
  "Evolution and Dynamics of Student Interaction on Networks of Face-to-Face Proximity"
  Proceedings of the 2014 International Smart University Workshop (SmartU 2014), London, UK
  2014.
• Martin Atzmueller
  "Mining Social Interaction -- Ubiquitous Sensors and Social Media"
  Proc. International Conference on Future RFID Technologies
  pp. 5--13, 2014.
• Martin Atzmueller, Alvin Chin, Christoph Trattner (ed.)
  "Proceedings MSM 2014: Workshop on Modeling Social Media - Mining Big Data in Social Media and the Web"
  2014.
• "Proceedings of the 2014 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2014)"
  2014.
• Martin Atzmueller
  "Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities"
  Mobile Social Networking: An Innovative Approach
  pp. 65--78, 2014.
• Martin Atzmueller, Kay Behrenbruch, Axel Hoffmann, Mark Kibanov, Bjoern-Elmar Macek, Christoph Scholz, Hendrik Skistims, Matthias Söllner, Gerd Stumme
  "Socio-technical Design of Ubiquitous Computing Systems"
  2014.
• Martin Atzmueller, Szymon Bobek, Mark Kibanov, Grzegorz J. Nalepa
  "Towards Context Detection in the Ambient Classroom using Wearable Sensors"
  Proceedings of the 2014 International Smart University Workshop (SmartU 2014), London, UK
  2014.
• Martin Atzmueller, Martin Becker, Mark Kibanov, Christoph Scholz, Stephan Doerfel, Andreas Hotho, Bjoern-Elmar Macek, Folke Mitzlaff, Juergen Mueller, Gerd Stumme
  "Ubicon and its Applications for Ubiquitous Social Computing"
  New Review of Hypermedia and Multimedia
  vol. 20, no. 1, pp. 53--77, 2014.
  doi.org/10.1080/13614568.2013.873488
• Martin Becker, Andreas Hotho, Juergen Mueller, Mark Kibanov, Martin Atzmueller, Gerd Stumme
  "Subjective vs. Objective Data: Bridging the Gap"
  2014.
• Carlos Castillo, Jill Freyne, Martin Atzmueller, Julita Vassileva, Maria Bielikova, Leo Ferres, David Garcia, Tudor Groza, Eelco Herder, Aidan Hogan, others
  "HT'14 late-breaking results and doctoral consortium-Preface"
  CEUR Workshop Proceedings
  vol. 1210, 2014.
• Mark Kibanov, Martin Atzmueller, Christoph Scholz, Gerd Stumme
  "Temporal Evolution of Contacts and Communities in Networks of Face-to-Face Human Interactions"
  Science China Information Sciences
  vol. 57, no. 3, pp. 1--17, 2014.
• Bjoern-Elmar Macek, Martin Atzmueller, Gerd Stumme
  "Predicting the Stability of User Interaction Ties in Twitter"
  Proc. I-KNOW 2014
  2014.
• Folke Mitzlaff, Martin Atzmueller, Andreas Hotho, Gerd Stumme
  "The Social Distributional Hypothesis"
  Journal of Social Network Analysis and Mining
  vol. 4, no. 216, pp. 1--14, 2014.
• Christoph Scholz, Martin Atzmueller, Gerd Stumme
  "Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity"
  CoRR
  vol. abs/1407.2161, 2014.
• Christoph Scholz, Martin Atzmueller, Gerd Stumme
  "On the Predictability of Recurring Links in Networks of Face-to-Face Proximity"
  Proc. WWW 2014 (Companion)
  2014.
• Christoph Scholz, Jens Illig, Martin Atzmueller, Gerd Stumme
  "On the Predictability of Talk Attendance at Academic Conferences"
  Proc. 25th ACM Conference on Hypertext and Social Media
  2014.
• Christoph Scholz, Martin Atzmueller, Mark Kibanov, Gerd Stumme
  "Predictability of Evolving Contacts and Triadic Closure in Human Face-to-Face Proximity Networks"
  Journal of Social Network Analysis and Mining
  vol. 4, no. 217, 2014.
• Christoph Scholz, Jens Illig, Martin Atzmueller, Gerd Stumme
  "On the Predictability of Talk Attendance at Academic Conferences (Extended Abstract, Resubmission)"
  Proc. LWA 2014 (KDML Track)
  2014.
• Christoph Scholz, Jens Illig, Martin Atzmueller, Gerd Stumme
  "On the Predictability of Talk Attendance at Academic Conferences (Extended Version)"
  CoRR
  vol. abs/1407.0613, 2014.
• Christoph Scholz, Bjoern-Elmar Macek, Martin Atzmueller, Stephan Doerfel, Gerd Stumme
  "Socio-technical Design of Ubiquitous Computing Systems"
  2014.
• Christoph Scholz, Martin Atzmueller, Gerd Stumme
  "Unsupervised and Hybrid Approaches for On-Line RFID Localization with Mixed Context Knowledge"
  Proc. 21st Intl. Symposium on Methodologies for Intelligent Systems
  2014.
• Lisa Thiele, Martin Atzmueller, Simone Kauffeld, Gerd Stumme
  "Subjective versus Objective Captured Social Networks: Comparing Standard Self-Report Questionnaire Data with Observational RFID Technology Data"
  Proc. Measuring Behavior
  2014.
• Su Yang, Kristina Lerman, James She, Martin Atzmueller (ed.)
  "Proceedings of the 2014 International Conference on Social Computing, Beijing, China, August 04 - 07, 2014"
  2014.

2013

• Martin Atzmueller
  "Community and Pattern Analytics in Social Networks"
  2013.
• Martin Atzmueller, Mark Kibanov, Christoph Scholz, Gerd Stumme
  "Conferator - a Social System for Conference and Contact Management"
  2013.
• Martin Atzmueller
  "Data Mining on Social Interaction Networks"
  2013.
• Martin Atzmueller, Florian Lemmerich
  "Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information"
  IJWS
  vol. 2, no. 1/2, pp. 80-112, 2013.
• Martin Atzmueller, Alvin Chin, Christoph Trattner (ed.)
  "Proceedings MSM 2013: Workshop on Modeling Social Media -- Mining, Modeling and Recommending 'Things' in Social Media"
  2013.
• "Proceedings of the 2013 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2013)"
  2013.
• Martin Atzmueller, Katy Hilgenberg
  "SDCF - A Sensor Data Collection Framework for Social and Ubiquitous Environments: Challenges and First Experiences in Sensor-based Social Networks (Abstract)"
  Proc. Sunbelt XXXIII: Annual Meeting of the International Network for Social Network Analysis
  2013.
• Martin Atzmueller, Juergen Mueller
  "Subgroup Analytics and Interactive Assessment on Ubiquitous Data"
  Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2013)
  2013.
• Martin Atzmueller, Katy Hilgenberg
  "Towards Capturing Social Interactions with SDCF: An Extensible Framework for Mobile Sensing and Ubiquitous Data Collection"
  Proc. 4th International Workshop on Modeling Social Media (MSM 2013), Hypertext 2013
  2013.
• Martin Atzmueller, Szymon Bobek, Mark Kibanov, Grzegorz J. Nalepa
  "Towards the Ambient Classroom: An Environment for Enhancing Collaborative Educational Processes"
  Proceedings of the 2013 International Smart University Workshop (SmartU 2013), CONTEXT 2013, Annecy, France
  pp. 1--12, 2013.
• Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho (ed.)
  "Ubiquitous Social Media Analysis"
  MSM/MUSE Postproceedings 2012
  vol. 8329, 2013.
• Mark Kibanov, Martin Atzmueller, Christoph Scholz, Gerd Stumme
  "On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity"
  Proc. IEEE CPSCom 2013
  2013.
• Mark Kibanov, Martin Atzmueller, Christoph Scholz, Gerd Stumme
  "Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission)"
  Proc. LWA 2013 (KDML Track)
  2013.
• Mark Kibanov, Dominik J. Erdmann, Martin Atzmueller
  "How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned"
  Software Engineering 2013 - Workshopband
  2013.
• Bj\"orn-Elmar Macek, Martin Atzmueller
  "Visualizing the Impact of Time Series Data for Predicting User Interactions"
  Proc. ASONAM 2013
  2013.
• Folke Mitzlaff, Martin Atzmueller, Gerd Stumme, Andreas Hotho
  "Semantics of User Interaction in Social Media"
  Complex Networks IV
  vol. 476, 2013.
  doi.org/10.1007/978-3-642-36844-8_2
• Folke Mitzlaff, Martin Atzmueller, Gerd Stumme, Andreas Hotho
  "On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)"
  Proc. LWA 2013 (KDML Track)
  2013.
• Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme
  "User-Relatedness and Community Structure in Social Interaction Networks"
  CoRR/abs
  vol. 1309.3888, 2013.
• "Proceedings of the 2013 International Smart University Workshop (SmartU 2013)"
  2013.
• Christoph Scholz, Martin Atzmueller, Mark Kibanov, Gerd Stumme
  "How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks"
  Proc. ASONAM 2013
  2013.
• Christoph Scholz, Martin Atzmueller, Alain Barrat, Ciro Cattuto, Gerd Stumme
  "New Insights and Methods For Predicting Face-To-Face Contacts"
  Proc. 7th Intl. AAAI Conference on Weblogs and Social Media
  2013.
• Thomas Schulz, Hendrik Skistims, Julia Zirfas, Martin Atzmueller, Christoph Scholz
  "Rechtliche Ausgestaltung sozialer Konferenzplattformen"
  ZD
  vol. 2, pp. 60--65, 2013.
• Dietmar Seipel, Stefan Köhler, Philipp Neubeck, Martin Atzmueller
  "Mining Complex Event Patterns in Computer Networks"
  Postproceedings of the 1st Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2012
  2013.

2012

• Martin Atzmueller
  "Onto Collective Intelligence in Social Media: Exemplary Applications and Perspectives"
  Proc. 3rd International Workshop on Modeling Social Media (MSM 2012), Hypertext 2012
  2012.
• Martin Atzmueller, Stephanie Beer, Frank Puppe
  "Data Mining, Validation and Collaborative Knowledge Capture"
  Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources
  2012.
• Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff, Gerd Stumme
  "Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles"
  Modeling and Mining Ubiquitous Social Media
  vol. 7472, 2012.
• Martin Atzmueller
  "Hypertext 2012: Linking People, Data, Resources and Stories"
  SIGWEB Newsl.
  no. Autumn, pp. 1:1--1:5, 2012.
• Martin Atzmueller
  "Mining Social Media"
  Informatik Spektrum
  vol. 35, no. 2, pp. 132 -- 135, 2012.
• Martin Atzmueller
  "Mining Social Media: Key Players, Sentiments, and Communities"
  WIREs Data Mining and Knowledge Discovery
  vol. 2, no. 5, pp. 411--419, 2012.
• Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho (ed.)
  "Modeling and Mining Ubiquitous Social Media"
  MSM/MUSE Postproceedings 2011
  vol. 7472, 2012.
• "Proceedings of the 2012 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2012)"
  2012.
• Martin Atzmueller, Martin Becker, Stephan Doerfel, Mark Kibanov, Andreas Hotho, Bj\"orn-Elmar Macek, Folke Mitzlaff, Juergen Mueller, Christoph Scholz, Gerd Stumme
  "Ubicon: Observing Social and Physical Activities"
  Proc. 4th IEEE Intl. Conf. on Cyber, Physical and Social Computing (CPSCom)
  pp. 317--324, 2012.
• Martin Atzmueller, Florian Lemmerich
  "VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics"
  Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  2012.
• Kay Behrenbruch, Martin Atzmueller, Christoph Evers, Ludger Schmidt, Gerd Stumme, Kurt Geihs
  "A Personality Based Design Approach Using Subgroup Discovery"
  Human-Centred Software Engineering
  vol. 7623, pp. 259--266, 2012.
• Alvin Chin, Martin Atzmueller, Denis Helic (ed.)
  "Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media"
  2012.
• Florian Lemmerich, Martin Atzmueller
  "Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media"
  Modeling and Mining Ubiquitous Social Media
  vol. 7472, 2012.
• Florian Lemmerich, Martin Becker, Martin Atzmueller
  "Generic Pattern Trees for Exhaustive Exceptional Model Mining"
  Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  2012.
• Bjoern-Elmar Macek, Christoph Scholz, Martin Atzmueller, Gerd Stumme
  "Anatomy of a Conference"
  Proc. 23rd ACM Conference on Hypertext and Social Media
  pp. 245-254, 2012.
• Christoph Scholz, Martin Atzmueller, Gerd Stumme
  "Analyzing the Predictability of Human Contacts: On Influence Factors and Stronger Ties (Extended Abstract)"
  Proc. LWA 2013 (KDML Track)
  2012.
• Christoph Scholz, Martin Atzmueller, Gerd Stumme
  "On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties"
  Proc. 4th ASE/IEEE International Conference on Social Computing (SocialCom)
  pp. 312--321, 2012.
• Dietmar Seipel, Philipp Neubeck, Stefan Köhler, Martin Atzmueller
  "Mining Complex Event Patterns in Computer Networks"
  Proc. ECML/PKDD Workshop on New Frontiers in Mining Complex Patterns
  2012.

2011

• Martin Atzmueller
  "Analysis of Communities in Social Media"
  Proc. 20th Intl. Conference on Information and Knowledge Management (CIKM 2011)
  2011.
• Martin Atzmueller, Andreas Hotho, Markus Strohmaier, Alvin Chin (ed.)
  "Analysis of Social Media and Ubiquitous Data"
  MSM/MUSE
  vol. 6904, 2011.
  doi.org/10.1007/978-3-642-23599-3
• Martin Atzmueller
  "Applied Natural Language Processing and Content Analysis: Advances in Identification, Investigation and Resolution"
  2011.
• Martin Atzmueller, Florian Lemmerich
  "Applied Descriptive Pattern Mining"
  2011.
• Martin Atzmueller, Folke Mitzlaff
  "Efficient Descriptive Community Mining"
  Proc. 24th International FLAIRS Conference
  pp. 459 -- 464, 2011.
• Martin Atzmueller, Dominik Benz, Stephan Doerfel, Andreas Hotho, Robert Jäschke, Bjoern Elmar Macek, Folke Mitzlaff, Christoph Scholz, Gerd Stumme
  "Enhancing Social Interactions at Conferences"
  it - Information Technology
  vol. 53, no. 3, pp. 101--107, 2011.
• Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff, Gerd Stumme
  "Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players"
  Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011
  2011.
• "Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)"
  2011.
• Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme
  "Towards Mining Semantic Maturity in Social Bookmarking Systems"
  Proc. Workshop Social Data on the Web, 10th Intl. Semantic Web Conference
  2011.
• Martin Atzmueller, Florian Lemmerich
  "\textscVikamine - A Rich-Client Environment for Intelligent Pattern Mining and Subgroup Discovery"
  Proc. LWA 2011 (KDML Track)
  2011.
• Kay Behrenbruch, Martin Atzmueller, Romy Kniewel, Sebastian Hoberg, Gerd Stumme, Ludger Schmidt
  "Gestaltung technisch-sozialer Vernetzung in der Arbeitsorganisation: Untersuchung zur Nutzerakzeptanz von RFID-Technologie"
  Proc. GfA-Frühjahrskongress 2011
  2011.
• Alvin Chin, Martin Atzmueller, Denis Helic (ed.)
  "Proceedings MSM 2011: Workshop on Modeling Social Media - User Interface Aspects"
  2011.
• Florian Lemmerich, Martin Atzmueller
  "Modeling Location-based Profiles of Social Image Media using Explorative Pattern Mining"
  Proc. IEEE Third International Conference on Social Computing (SocialCom)
  pp. 1356--1363, 2011.
• Bjoern-Elmar Macek, Martin Atzmueller, Gerd Stumme
  "Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers"
  Proc. IEEE Third International Conference on Social Computing (SocialCom)
  pp. 250--257, 2011.
• Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme
  "Community Assessment using Evidence Networks"
  Analysis of Social Media and Ubiquitous Data
  vol. 6904, 2011.
• Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, Gerd Stumme
  "Resource-Aware On-Line RFID Localization Using Proximity Data"
  Proc. ECML/PKDD 2011: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  pp. 129--144, 2011.

2010

• "The IWK2010 Workshops: DERIS2010 and EMDT2010. Proceedings of the IWK2010 Workshops: International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS2010) and the First International Workshop on Evolution Support for Model-Based Development and Testing (EMDT2010)"
  vol. 646, 2010.
• Martin Atzmueller, Thomas Roth-Berghofer
  "The Mining and Analysis Continuum of Explaining Uncovered"
  Proc. Research and Development in Intelligent Systems XXVII. SGAI 2010
  pp. 273--278, 2010.
• "Proc. Workshop on Knowledge Discovery and Machine Learning (KDML) 2010"
  2010.
• "Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivit\"at"
  2010.
• "Proceedings of the 2010 Workshop on Mining Ubiquitous and Social Environments (MUSE 2010)"
  2010.
• Martin Atzmueller, Thomas Roth-Berghofer
  "Ready for the MACE? The Mining and Analysis Continuum of Explaining Uncovered"
  no. RR-10-02, 2010.
• Martin Atzmueller, Thomas Roth-Berghofer
  "Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining"
  Proc. Workshop on Explanation-aware Computing ExaCt @ ECAI
  2010.
• Martin Atzmueller, Folke Mitzlaff
  "Towards Mining Descriptive Community Patterns"
  Workshop on Mining Patterns and Subgroups. Awarded with the Best Discovery Award
  2010.
• Martin Atzmueller, Stephanie Beer
  "Validation of Mixed-Structured Data Using Pattern Mining and Information Extraction"
  Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems
  2010.
• Benedikt Kaempgen, Florian Lemmerich, Martin Atzmueller
  "Decision-Maker-Aware Design of Descriptive Data Mining"
  Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems
  2010.
• Florian Lemmerich, Mathias Rohlfs, Martin Atzmueller
  "Fast Discovery of Relevant Subgroup Patterns"
  Proc. 23rd International FLAIRS Conference
  pp. 428--433, 2010.
• Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme
  "Community Assessment using Evidence Networks"
  Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2010)
  2010.
• Christian Weiss, Martin Atzmueller
  "EWMA Control Charts for Monitoring Binary Processes with Applications to Medical Diagnosis Data"
  Quality and Reliability Engineering
  vol. 26, no. 8, pp. 795--805, 2010.

2009

• Martin Atzmueller, Stephanie Beer, Frank Puppe
  "A Data Warehouse-Based Approach for Quality Management, Evaluation and Analysis of Intelligent Systems using Subgroup Mining"
  Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS)
  pp. 402--407, 2009.
• Martin Atzmueller, Florian Lemmerich, Jochen Reutelshoefer, Frank Puppe
  "An Extensible Architecture for Wiki-Enabled Semantic Data Mining"
  Technical Report
  vol. 463, 2009.
• Martin Atzmueller, Florian Lemmerich
  "Fast Subgroup Discovery for Continuous Target Concepts"
  Proc. 18th International Symposium on Methodologies for Intelligent Systems (ISMIS 2009)
  vol. 5722, pp. 1--15, 2009.
• Martin Atzmueller, Florian Lemmerich
  "Fast and Effective Subgroup Mining for Continuous Target Variables"
  Proc. LWA 2009 (Knowledge Discovery and Machine Learning Track)
  2009.
• Martin Atzmueller, Frank Puppe
  "Knowledge Discovery Enhanced with Semantic and Social Information"
  2009.
• Martin Atzmueller, Fabian Haupt, Stephanie Beer, Frank Puppe
  "Knowta: Wiki-Enabled Social Tagging for Collaborative Knowledge and Experience Management"
  Proc. International Workshop on Design, Evaluation and Refinement of Intelligent Systems
  vol. 545, pp. 1--12, 2009.
• Martin Atzmueller, Frank Puppe, Hans-Peter Buscher
  "A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery"
  International Journal on Artificial Intelligence Tools (IJAIT)
  vol. 18, no. 1, pp. 1 -- 18, 2009.
• Martin Atzmueller, Grzegorz J. Nalepa
  "A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture"
  Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS)
  pp. 414-419, 2009.
• Martin Atzmueller, Grzegorz J. Nalepa
  "Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping"
  Technical Report 458, Institute of Computer Science, University of Würzburg
  2009.
• Martin Atzmueller, Florian Lemmerich, Beate Krause, Andreas Hotho
  "Towards Understanding Spammers -- Discovering Local Patterns for Concept Characterization and Description"
  Proc. LeGo-09: From Local Patterns to Global Models, Workshop ECML PKDD 2009
  2009.
• Martin Atzmueller, Florian Lemmerich, Beate Krause, Andreas Hotho
  "Who are the Spammers? Understandable Local Patterns for Concept Description"
  Proc. 7th Conference on Computer Methods and Systems
  2009.
• Martin Atzmueller, Florian Lemmerich, Jochen Reutelshoefer, Frank Puppe
  "Wiki-Enabled Semantic Data Mining - Task Design, Evaluation and Refinement"
  Proc. International Workshop on Design, Evaluation and Refinement of Intelligent Systems
  vol. 545, 2009.
• Peter Kluegl, Martin Atzmueller, Frank Puppe
  "A Framework for Semi-Automatic Development of Rule-based Information Extraction Applications"
  Proc. LWA 2009 (Knowledge Discovery and Machine Learning Track)
  2009.
• Peter Kluegl, Martin Atzmueller, Frank Puppe
  "Meta-Level Information Extraction"
  The 32nd Annual Conference on Artificial Intelligence
  2009.
• Peter Kluegl, Martin Atzmueller, Frank Puppe
  "Meta-Level Information Extraction (Short Paper)"
  Proc. LWA 2009 (Knowledge Discovery and Machine Learning Track)
  2009.
• Peter Kluegl, Martin Atzmueller, Frank Puppe
  "TextMarker: A Tool for Rule-Based Information Extraction"
  Proc. Unstructured Information Management Architecture (UIMA) 2nd UIMA@GSCL Workshop, Conference of the GSCL (Gesellschaft für Sprachtechnologie und Computerlinguistik)
  2009.
• Florian Lemmerich, Martin Atzmueller
  "Incorporating Exceptions: Efficient Mining of $\epsilon$-Relevant Subgroup Patterns"
  Proc. LeGo-09: From Local Patterns to Global Models, Workshop at ECML PKDD 2009
  2009.

2008

• Martin Atzmueller, Frank Puppe
  "A Case-Based Approach for Characterization and Analysis of Subgroup Patterns"
  Journal of Applied Intelligence
  vol. 28, no. 3, pp. 210-221, 2008.
• Martin Atzmueller, Frank Puppe
  "Causal Subgroup Analysis for Detecting Confounding (Extended version)"
  Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management
  2008.
• Martin Atzmueller, Dietmar Seipel
  "Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining (Extended version)"
  Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management
  2008.
• Martin Atzmueller, Stephanie Beer, Alexander H\"ornlein, Ralf Melcher, Hardi L\"uhrs, Frank Puppe
  "Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain"
  Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems
  2008.
• Martin Atzmueller, Alexander H\"ornlein
  "Exploiting the Power of Social Tagging Systems: A Semantic Flickr Approach for Tutoring and Knowledge Management"
  Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems
  2008.
• "Proc. Workshop on Knowledge Discovery and Machine Learning (KDML) 2008"
  2008.
• Martin Atzmueller, Peter Kluegl, Frank Puppe
  "Rule-Based Information Extraction for Structured Data Acquisition using TextMarker"
  Proc. LWA 2008 (Knowledge Discovery and Machine Learning Track)
  pp. 1--7, 2008.
• Martin Atzmueller, Frank Puppe
  "Semi-Automatic Refinement and Assessment of Subgroup Patterns"
  Proc. 21th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2008)
  pp. 518--523, 2008.
• "Proceedings of the LWA 2008 - Lernen, Wissen, Adaptivit\"at"
  2008.
• Peter Kluegl, Martin Atzmueller
  "Integrating the Rule-Based IE Component TextMarker into UIMA"
  Proc. LWA 2008 (Information Retrieval Track)
  pp. 73--77, 2008.
• Peter Kluegl, Martin Atzmueller, Frank Puppe
  "Test-Driven Development of Complex Information Extraction Systems using TextMarker"
  Proc. 4th International Workshop on Knowledge Engineering and Software Engineering, 31th German Conference on Artificial Intelligence
  2008.
• Florian Lemmerich, Martin Atzmueller
  "Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology"
  Proc. LWA 2008 (Knowledge Discovery and Machine Learning Track)
  2008.
• {Martin Atzmueller, Florian Lemmerich}
  "A Methodological Approach for the Effective Modeling of Bayesian Networks"
  Proc. 31st Annual German Conference on Artificial Intelligence (KI 2008)
  pp. 160--168, 2008.
• Frank Puppe, Martin Atzmueller, Georg Buscher, Matthias Huettig, Hardi Lührs, Hans-Peter Buscher
  "Application and Evaluation of a Medical Knowledge-System in Sonography (SonoConsult)"
  Proc. 18th European Conference on Artificial Intelligence (ECAI 20008)
  pp. 683-687, 2008.

2007

• Martin Atzmueller, Frank Puppe
  "Causal Subgroup Analysis for Detecting Confounding"
  Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management (INAP 2007)
  2007.
• Martin Atzmueller, Frank Puppe, Hans-Peter Buscher
  "Onto Confounding-Aware Subgroup Discovery"
  Proc. 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007)
  pp. 163--170, 2007.
• Martin Atzmueller, Dietmar Seipel
  "Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining"
  Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management (INAP 2007)
  2007.
• Martin Atzmueller
  "Experience Management with Task-Configurations and Task-Patterns for Descriptive Data Mining"
  Proc. 3rd International Workshop on Knowledge Engineering and Software Engineering (KESE 2007), 30th German Conference on Artificial Intelligence (KI-2007)
  2007.
• Martin Atzmueller
  "Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery"
  vol. 307, 2007.
• Martin Atzmueller, Frank Puppe
  "A Knowledge-Intensive Approach for Semi-Automatic Causal Subgroup Discovery"
  Proc. Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery (PriCKL'07), at ECML PKDD 2007
  2007.
• Martin Atzmueller, Joachim Baumeister, Frank Puppe
  "Pattern-Constrained Test Case Generation"
  Proc. 20th International Florida Artificial Intelligence Research Society Conference (FLAIRS-2007)
  pp. 518--523, 2007.
• Martin Atzmueller, Joachim Baumeister, Peter Kl\"ugl, Frank Puppe
  "Rapid Knowledge Capture Using Subgroup Discovery with Incremental Refinement"
  Proc. 4th International Conference on Knowledge Capture (K-CAP 2007)
  pp. 31--38, 2007.
• Martin Atzmueller, Frank Puppe
  "Towards Confounding-Aware Subgroup Discovery"
  Proc. LWA 2007 (KDML Track)
  2007.

2006

• Martin Atzmueller, Frank Puppe
  "Case-Based Characterization and Analysis of Subgroup Patterns"
  Proc. LWA 2006 (KDML Track), Hildesheimer Informatik Berichte
  2006.
• Martin Atzmueller, Joachim Baumeister, Mario Goller, Frank Puppe
  "A Datagenerator for Evaluating Machine Learning Methods"
  K\"unstliche Intelligenz
  no. 03, pp. 57--63, 2006.
• Martin Atzmueller, Joachim Baumeister, Frank Puppe
  "Introspective Subgroup Analysis for Interactive Knowledge Refinement"
  Proc. 19th International Florida Artificial Intelligence Research Society Conference 2006 (FLAIRS-2006)
  pp. 402--407, 2006.
• Martin Atzmueller
  "Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery"
  2006.
• Martin Atzmueller, Frank Puppe
  "A Methodological View on Knowledge-Intensive Subgroup Discovery"
  Proc. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006)
  no. 4248, pp. 318--325, 2006.
• Martin Atzmueller, Frank Puppe
  "SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery."
  Proc. 10th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD 2006)
  pp. 6-17, 2006.
• Martin Atzmueller, Joachim Baumeister, Frank Puppe
  "Semi-Automatic Learning of Simple Diagnostic Scores Utilizing Complexity Measures"
  Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine
  vol. 37, no. 1, pp. 19--30, 2006.
• Joachim Baumeister, Martin Atzmueller, Peter Kluegl, Frank Puppe
  "Conservative and Creative Strategies for the Refinement of Scoring Rules"
  Proc. 19th Intl. Florida Artificial Intelligence Research Society Conference 2006 (FLAIRS-2006)
  pp. 408--413, 2006.

2005

• Martin Atzmueller, Joachim Baumeister, Frank Puppe
  "Quality Measures and Semi-Automatic Mining of Diagnostic Rule Bases (extended version)"
  Proc. 15th International Conference on Applications of Declarative Programming and Knowledge Management (INAP 2004)
  no. 3392, pp. 65--78, 2005.
• Martin Atzmueller, Frank Puppe
  "Semi-Automatic Visual Subgroup Mining using VIKAMINE"
  Journal of Universal Computer Science
  vol. 11, no. 11, pp. 1752--1765, 2005.
• Martin Atzmueller
  "Subgroup Discovery"
  K\"unstliche Intelligenz
  no. 4, pp. 52--53, 2005.
• Martin Atzmueller, Joachim Baumeister, Achim Hemsing, Ernst-J\"urgen Richter, Frank Puppe
  "Using Subgroup Mining for the Refinement of Knowledge Systems (Abstract)"
  Proceedings of the 29th Annual Conference of the German Classification Society (GfKl 2005)
  2005.
• Martin Atzmueller, Tobias Vogele, Frank Puppe
  "Visualization Techniques for Semi-Automatic Subgroup Mining (Abstract)"
  Proceedings of the 29th Annual Conference of the German Classification Society (GfKl 2005)
  2005.
• Matthias Holzer, Alexander Hörnlein, Martin Atzmueller, Rainer Singer, Stefan Schlott, Franz-Josef Leven, Frank Puppe, Martin R. Fischer
  "Interoperability of Case-Based Training Systems in Medicine: The CASEPORT Approach"
  Proc. 9th Workshop of the GMDS AG
  2005.
• Wenqi Shi, John A. Barnden, Martin Atzmueller, Joachim Baumeister
  "An Intelligent Diagnosis System Handling Multiple Disorders"
  pp. 421--430, 2005.

2004

• Martin Atzmueller, Wenqi Shi, Joachim Baumeister, Frank Puppe, John A. Barnden
  "Case-Based Approaches for Diagnosing Multiple Disorders"
  Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004)
  pp. 154--159, 2004.
• Matthias Holzer, Rainer Singer, Stefan Schlott, Alexander Hörnlein, Martin Atzmueller
  "Erfahrungen mit der Entwicklung des CASEPORT-Lernportals"
  Proc. 8th Workshop of the GMDS AG
  2004.

2003

• Martin Atzmueller, Joachim Baumeister, Frank Puppe
  "Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults"
  Proc. 2nd Conf. Professional Knowledge Management (WM)
  2003.
• Martin Atzmueller, Joachim Baumeister, Frank Puppe
  "Inductive Learning of Simple Diagnostic Scores"
  Medical Data Analysis, Proc. 4th Intl. Symposium on Medical Data Analysis (ISMDA 2003), LNCS 2868
  pp. 23-30, 2003.

2002

• Martin Atzmueller
  "Semi-Automatic Data Mining Methods for Improving Case-Based Reasoning"
  2002.
• Joachim Baumeister, Martin Atzmueller, Frank Puppe
  "Inductive Learning for Case-Based Diagnosis with Multiple Faults"
  Advances in Case-Based Reasoning
  vol. 2416, pp. 28-42, 2002.

n.d.

• Timo Markert, Sebastian Matich, Daniel Neykov, Markus Muenig, Andreas Theissler, Martin Atzmueller
  ""
• Christoph Scholz, Martin Atzmueller, Gerd Stumme
  "Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity"
  PLOS ONE
  2015 (accepted).