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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]Mark Kibanov, Martin Becker, Juergen Mueller, Martin Atzmueller, Andreas Hotho, Gerd Stumme:
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data. CoRR abs/1801.01453 (2018) - 2017
- [c100]Martin Atzmueller:
Declarative Aspects in Explicative Data Mining for Computational Sensemaking. DECLARE 2017: 97-114 - [c99]Martin Atzmueller, Naveed Hayat, Andreas Schmidt, Benjamin Klöpper:
Explanation-aware feature selection using symbolic time series abstraction: Approaches and experiences in a petro-chemical production context. INDIN 2017: 799-804 - [c98]Martin Atzmueller, Eric Sternberg:
Mixed-Initiative Feature Engineering Using Knowledge Graphs. K-CAP 2017: 45:1-45:4 - [c97]Daniel Knoell, Martin Atzmueller, Constantin Rieder, Klaus-Peter Scherer:
A Scalable Framework for Data-Driven Ontology Evaluation. WM 2017: 97-106 - [p9]Sidharta Gautama, Martin Atzmueller, Vassilis Kostakos, Dominique Gillis, Simo Hosio:
Observing Human Activity Through Sensing. Participatory Sensing, Opinions and Collective Awareness 2017: 47-68 - [p8]Martin Atzmueller, Martin Becker, Juergen Mueller:
Collective Sensing Platforms. Participatory Sensing, Opinions and Collective Awareness 2017: 115-133 - [p7]Martin Atzmueller, Martin Becker, Andrea Molino, Juergen Mueller, Jan Peters, Alina Sîrbu:
Applications for Environmental Sensing in EveryAware. Participatory Sensing, Opinions and Collective Awareness 2017: 135-155 - [p6]Sidharta Gautama, Martin Atzmueller, Vassilis Kostakos, Dominique Gillis, Simo Hosio:
Erratum to: Observing Human Activity Through Sensing. Participatory Sensing, Opinions and Collective Awareness 2017 - [p5]Martin Atzmueller:
Descriptive Community Detection. Formal Concept Analysis of Social Networks 2017: 41-58 - 2016
- [j20]Florian Lemmerich, Martin Atzmueller, Frank Puppe:
Fast exhaustive subgroup discovery with numerical target concepts. Data Min. Knowl. Discov. 30(3): 711-762 (2016) - [j19]Martin Atzmueller, Stephan Doerfel, Folke Mitzlaff:
Description-oriented community detection using exhaustive subgroup discovery. Inf. Sci. 329: 965-984 (2016) - [c96]Martin Atzmueller, Tom Hanika, Gerd Stumme, Richard Schaller, Bernd Ludwig:
Social event network analysis: Structure, preferences, and reality. ASONAM 2016: 613-620 - [c95]Martin Atzmueller:
Detecting community patterns capturing exceptional link trails. ASONAM 2016: 757-764 - [c94]Martin Atzmüller:
Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media. Solving Large Scale Learning Tasks 2016: 184-207 - [c93]Martin Atzmueller, Lisa Thiele, Gerd Stumme, Simone Kauffeld:
Analyzing group interaction and dynamics on socio-behavioral networks of face-to-face proximity. UbiComp Adjunct 2016: 1231-1238 - [c92]Martin Atzmueller, Björn Fries, Naveed Hayat:
Sensing, processing and analytics: augmenting the Ubicon platform for anticipatory ubiquitous computing. UbiComp Adjunct 2016: 1239-1246 - [c91]Benjamin Klöpper, Marcel Dix, Lukas Schorer, Ann Ampofo, Martin Atzmueller, David Arnu, Ralf Klinkenberg:
Defining software architectures for big data enabled operator support systems. INDIN 2016: 1288-1292 - [c90]Daniel Knöll, Martin Atzmueller, Constantin Rieder, Klaus-Peter Scherer:
BISHOP - Big Data Driven Self-Learning Support for High-performance Ontology Population. LWDA 2016: 157-164 - [c89]Martin Atzmueller, Andreas Schmidt, David Arnu:
Sequential Modeling and Structural Anomaly Analytics in Industrial Production Environments. LWDA 2016: 283-290 - [c88]Martin Atzmueller, Andreas Schmidt, Benjamin Klöpper, David Arnu:
HypGraphs: An Approach for Analysis and Assessment of Graph-Based and Sequential Hypotheses. NFMCP@PKDD/ECML 2016: 231-247 - [c87]Martin Atzmueller:
Local Exceptionality Detection on Social Interaction Networks. ECML/PKDD (3) 2016: 298-302 - [c86]Martin Atzmueller:
Community detection: from plain to attributed complex networks. WebSci 2016: 9 - [c85]Stefan Bloemheuvel, Martin Atzmueller, Marie Postma:
Stratification-Oriented Analysis of Community Structure in Networks of Face-to-Face Proximity. MSM@WWW,MUSE@PKDD/ECML 2016: 28-43 - [c84]Sebastiaan Merino, Martin Atzmueller:
Multimodal Behavioral Mobility Pattern Mining and Analysis Using Topic Modeling on GPS Data. MSM@WWW,MUSE@PKDD/ECML 2016: 68-88 - [c83]Martin Atzmueller, Andreas Schmidt, Mark Kibanov:
DASHTrails: An Approach for Modeling and Analysis of Distribution-Adapted Sequential Hypotheses and Trails. WWW (Companion Volume) 2016: 553-558 - [e11]Martin Atzmueller, Alvin Chin, Frederik Janssen, Immanuel Schweizer, Christoph Trattner:
Big Data Analytics in the Social and Ubiquitous Context - 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers. Lecture Notes in Computer Science 9546, Springer 2016, ISBN 978-3-319-29008-9 [contents] - 2015
- [j18]Martin Atzmueller:
Subgroup discovery. WIREs Data Mining Knowl. Discov. 5(1): 35-49 (2015) - [c82]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. ASONAM 2015: 697-704 - [c81]Martin Atzmueller:
Subgroup and Community Analytics on Attributed Graphs. SNAFCA@ICFCA 2015 - [c80]Daniel Knoell, Constantin Rieder, Martin Atzmueller, Klaus-Peter Scherer:
Subgroup Discovery as a Method for Generating Test Ontologies. LWA 2015: 239-246 - [c79]Martin Atzmueller, Mark Kibanov, Naveed Hayat, Matthias Trojahn, Dennis Kroll:
Adaptive Class Association Rule Mining for Human Activity Recognition. MUSE@PKDD/ECML 2015: 19-34 - [e10]Martin Atzmueller, Florian Lemmerich:
Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) co-located with the 26th European Conference on Machine Learning / 19th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 7, 2015. CEUR Workshop Proceedings 1521, CEUR-WS.org 2015 [contents] - [e9]Martin Atzmueller, Alvin Chin, Christoph Scholz, Christoph Trattner:
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. Lecture Notes in Computer Science 8940, Springer 2015, ISBN 978-3-319-14722-2 [contents] - 2014
- [j17]Mark Kibanov, Martin Atzmueller, Christoph Scholz, Gerd Stumme:
Temporal evolution of contacts and communities in networks of face-to-face human interactions. Sci. China Inf. Sci. 57(3): 1-17 (2014) - [j16]Martin Atzmueller:
Data Mining on Social Interaction Networks. J. Data Min. Digit. Humanit. 2014 (2014) - [j15]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 Rev. Hypermedia Multim. 20(1): 53-77 (2014) - [j14]Folke Mitzlaff, Martin Atzmüller, Andreas Hotho, Gerd Stumme:
The social distributional hypothesis: a pragmatic proxy for homophily in online social networks. Soc. Netw. Anal. Min. 4(1): 216 (2014) - [j13]Christoph Scholz, Martin Atzmueller, Mark Kibanov, Gerd Stumme:
Predictability of evolving contacts and triadic closure in human face-to-face proximity networks. Soc. Netw. Anal. Min. 4(1): 217 (2014) - [c78]Christoph Scholz, Jens Illig, Martin Atzmueller, Gerd Stumme:
On the predictability of talk attendance at academic conferences. HT 2014: 279-284 - [c77]Bjoern Elmar Macek, Martin Atzmüller, Gerd Stumme:
Predicting the stability of user interaction ties in Twitter. I-KNOW 2014: 9:1-9:8 - [c76]Christoph Scholz, Martin Atzmueller, Gerd Stumme:
Unsupervised and Hybrid Approaches for On-line RFID Localization with Mixed Context Knowledge. ISMIS 2014: 244-253 - [c75]Christoph Scholz, Jens Illig, Martin Atzmüller, Gerd Stumme:
On the Predictability of Talk Attendance at Academic Conferences. LWA 2014: 162-163 - [c74]Martin Atzmueller, Andreas Ernst, Friedrich Krebs, Christoph Scholz, Gerd Stumme:
Formation and Temporal Evolution of Social Groups During Coffee Breaks. MSM/MUSE/SenseML 2014: 90-108 - [c73]Martin Atzmueller:
Analyzing and Grounding Social Interaction in Online and Offline Networks. ECML/PKDD (3) 2014: 485-488 - [c72]Martin Atzmueller, Andreas Ernst, Friedrich Krebs, Christoph Scholz, Gerd Stumme:
On the evolution of social groups during coffee breaks. WWW (Companion Volume) 2014: 631-636 - [c71]Christoph Scholz, Martin Atzmueller, Gerd Stumme:
On the predictability of recurring links in networks of face-to-face proximity. WWW (Companion Volume) 2014: 637-642 - [p4]Christoph Scholz, Bjoern Elmar Macek, Martin Atzmueller, Stephan Doerfel, Gerd Stumme:
Mining Social Links for Ubiquitous Knowledge Engineering. Socio-technical Design of Ubiquitous Computing Systems 2014: 109-129 - [p3]Martin Atzmueller, Kay Behrenbruch, Axel Hoffmann, Mark Kibanov, Bjoern Elmar Macek, Christoph Scholz, Hendrik Skistims, Matthias Söllner, Gerd Stumme:
Connect-U: A System for Enhancing Social Networking. Socio-technical Design of Ubiquitous Computing Systems 2014: 261-275 - [e8]Su Yang, Kristina Lerman, James She, Martin Atzmueller:
Proceedings of the 2014 International Conference on Social Computing, Beijing, China, August 04 - 07, 2014. ACM 2014, ISBN 978-1-4503-2888-3 [contents] - [i4]Christoph Scholz, Jens Illig, Martin Atzmueller, Gerd Stumme:
On the Predictability of Talk Attendance at Academic Conferences. CoRR abs/1407.0613 (2014) - [i3]Christoph Scholz, Martin Atzmueller, Gerd Stumme:
Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity. CoRR abs/1407.2161 (2014) - 2013
- [j12]Martin Atzmueller, Florian Lemmerich:
Exploratory pattern mining on social media using geo-references and social tagging information. Int. J. Web Sci. 2(1/2): 80-112 (2013) - [c70]Christoph Scholz, Martin Atzmueller, Mark Kibanov, Gerd Stumme:
How do people link?: analysis of contact structures in human face-to-face proximity networks. ASONAM 2013: 356-363 - [c69]Bjoern Elmar Macek, Martin Atzmueller:
Visualizing the impact of time series data for predicting user interactions. ASONAM 2013: 1477-1478 - [c68]Folke Mitzlaff, Martin Atzmueller, Gerd Stumme, Andreas Hotho:
Semantics of User Interaction in Social Media. CompleNet 2013: 13-25 - [c67]Mark Kibanov, Martin Atzmueller, Christoph Scholz, Gerd Stumme:
On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity. GreenCom/iThings/CPScom 2013: 993-1000 - [c66]Martin Atzmueller, Katy Hilgenberg:
Towards capturing social interactions with SDCF: an extensible framework for mobile sensing and ubiquitous data collection. MSM 2013: 6:1-6:4 - [c65]Christoph Scholz, Martin Atzmueller, Alain Barrat, Ciro Cattuto, Gerd Stumme:
New Insights and Methods For Predicting Face-To-Face Contacts. ICWSM 2013 - [c64]Mark Kibanov, Martin Atzmueller, Christoph Scholz, Gerd Stumme:
Evolution of Contacts and Communities in Networks of Face-to-Face Proximity. LWA 2013: 107-108 - [c63]Folke Mitzlaff, Martin Atzmueller, Gerd Stumme, Andreas Hotho:
On the Semantics of User Interaction in Social Media. LWA 2013: 109-112 - [c62]Martin Atzmueller, Juergen Mueller, Martin Becker:
Exploratory Subgroup Analytics on Ubiquitous Data. MSM/MUSE 2013: 1-20 - [c61]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 (Workshops) 2013: 415-424 - [e7]Martin Atzmueller, Alvin Chin, Christoph Trattner:
Proceedings of the 4th International Workshop on Modeling Social Media, MSM '13, Paris, France, May 1, 2013. ACM 2013, ISBN 978-1-4503-2007-8 [contents] - [e6]Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho:
Ubiquitous Social Media Analysis - Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers. Lecture Notes in Computer Science 8329, Springer 2013, ISBN 978-3-642-45391-5 [contents] - [i2]Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme:
User-Relatedness and Community Structure in Social Interaction Networks. CoRR abs/1309.3888 (2013) - [i1]Martin Atzmueller:
Data Mining on Social Interaction Networks. CoRR abs/1312.6675 (2013) - 2012
- [j11]Martin Atzmueller:
Mining Social Media. Inform. Spektrum 35(2): 132-135 (2012) - [j10]Martin Atzmueller:
Hypertext 2012: linking people, data, resources and stories. SIGWEB Newsl. 2012(Autumn): 1:1-1:5 (2012) - [j9]Martin Atzmueller:
Mining social media: key players, sentiments, and communities. WIREs Data Mining Knowl. Discov. 2(5): 411-419 (2012) - [c60]Martin Atzmueller, Martin Becker, Stephan Doerfel, Andreas Hotho, Mark Kibanov, Bjoern Elmar Macek, Folke Mitzlaff, Juergen Mueller, Christoph Scholz, Gerd Stumme:
Ubicon: Observing Physical and Social Activities. GreenCom 2012: 317-324 - [c59]Kay Behrenbruch, Martin Atzmüller, Christoph Evers, Ludger Schmidt, Gerd Stumme, Kurt Geihs:
A Personality Based Design Approach Using Subgroup Discovery. HCSE 2012: 259-266 - [c58]Martin Atzmueller:
Onto collective intelligence in social media: exemplary applications and perspectives. MSM 2012: 33-34 - [c57]Bjoern Elmar Macek, Christoph Scholz, Martin Atzmueller, Gerd Stumme:
Anatomy of a conference. HT 2012: 245-254 - [c56]Dietmar Seipel, Philipp Neubeck, Stefan Köhler, Martin Atzmueller:
Mining Complex Event Patterns in Computer Networks. NFMCP 2012: 33-48 - [c55]Florian Lemmerich, Martin Becker, Martin Atzmueller:
Generic Pattern Trees for Exhaustive Exceptional Model Mining. ECML/PKDD (2) 2012: 277-292 - [c54]Martin Atzmueller, Florian Lemmerich:
VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics. ECML/PKDD (2) 2012: 842-845 - [c53]Christoph Scholz, Martin Atzmueller, Gerd Stumme:
On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties. SocialCom/PASSAT 2012: 312-321 - [p2]Martin Atzmueller, Stephanie Beer, Frank Puppe:
Data Mining, Validation, and Collaborative Knowledge Capture. Collaboration and the Semantic Web 2012: 149-167 - [e5]Alvin Chin, Martin Atzmueller, Denis Helic:
Proceedings of the 3rd international workshop on Modeling social media, MSM 2012, Milwaukee, WI, USA, June 25, 2012. ACM 2012, ISBN 978-1-4503-1402-2 [contents] - [e4]Martin Atzmueller, Alvin Chin, Denis Helic, Andreas Hotho:
Modeling and Mining Ubiquitous Social Media - International Workshops MSM 2011, Boston, MA, USA, October 9, 2011, and MUSE 2011, Athens, Greece, September 5, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7472, Springer 2012, ISBN 978-3-642-33683-6 [contents] - 2011
- [j8]Martin Atzmüller, Dominik Benz, Stephan Doerfel, Andreas Hotho, Robert Jäschke, Bjoern Elmar Macek, Folke Mitzlaff, Christoph Scholz, Gerd Stumme:
Enhancing Social Interactions at Conferences. it Inf. Technol. 53(3): 101-107 (2011) - [c52]Martin Atzmueller:
Analysis of communities in social media. SMUC 2011: 35-36 - [c51]Martin Atzmueller, Folke Mitzlaff:
Efficient Descriptive Community Mining. FLAIRS 2011 - [c50]Martin Atzmueller, Florian Lemmerich:
VIKAMINE - A Rich-Client Environment for Intelligent Pattern Mining and Subgroup Discovery. LWA 2011: 43-44 - [c49]Martin Atzmueller, Stephan Doerfel, Folke Mitzlaff, Gerd Stumme:
Face-to-Face Contacts during LWA 2010 Communities, Roles, and Key Players. LWA 2011: 45 - [c48]Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, Gerd Stumme:
Resource-Aware On-line RFID Localization Using Proximity Data. ECML/PKDD (3) 2011: 129-144 - [c47]Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme:
Towards Mining Semantic Maturity in Social Bookmarking Systems. SDoW@ISWC 2011 - [c46]Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff, Gerd Stumme:
Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles. MSM/MUSE 2011: 21-39 - [c45]Florian Lemmerich, Martin Atzmueller:
Describing Locations Using Tags and Images: Explorative Pattern Mining in Social Media. MSM/MUSE 2011: 77-96 - [c44]Bjoern Elmar Macek, Martin Atzmueller, Gerd Stumme:
Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers. SocialCom/PASSAT 2011: 250-257 - [c43]Florian Lemmerich, Martin Atzmueller:
Modeling Location-Based Profiles of Social Image Media Using Explorative Pattern Mining. SocialCom/PASSAT 2011: 1356-1363 - [e3]Martin Atzmüller, Andreas Hotho, Markus Strohmaier, Alvin Chin:
Analysis of Social Media and Ubiquitous Data - International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6904, Springer 2011, ISBN 978-3-642-23598-6 [contents] - 2010
- [j7]Christian H. Weiß, Martin Atzmüller:
EWMA control charts for monitoring binary processes with applications to medical diagnosis data. Qual. Reliab. Eng. Int. 26(8): 795-805 (2010) - [c42]Martin Atzmueller, Thomas Roth-Berghofer:
Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining. ExaCt 2010: 1-12 - [c41]Florian Lemmerich, Mathias Rohlfs, Martin Atzmüller:
Fast Discovery of Relevant Subgroup Patterns. FLAIRS 2010 - [c40]Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme:
Community Assessment Using Evidence Networks. MSM/MUSE 2010: 79-98 - [c39]Martin Atzmueller, Thomas Roth-Berghofer:
The Mining and Analysis Continuum of Explaining Uncovered. SGAI Conf. 2010: 273-278 - [e2]Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme:
LWA 2010 - Lernen, Wissen & Adaptivität, Workshop Proceedings, Kassel, 4.-6. Oktober 2010. 2010 [contents]
2000 – 2009
- 2009
- [j6]Martin Atzmüller, Frank Puppe, Hans-Peter Buscher:
A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery. Int. J. Artif. Intell. Tools 18(1): 81-98 (2009) - [c38]Martin Atzmueller, Grzegorz J. Nalepa:
A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture. FLAIRS 2009 - [c37]Martin Atzmüller, Frank Puppe, Stephanie Beer:
A Data Warehouse-Based Approach for Quality Management, Analysis and Evaluation of Intelligent Systems using Subgroup Mining. FLAIRS 2009 - [c36]Martin Atzmüller, Florian Lemmerich:
Fast Subgroup Discovery for Continuous Target Concepts. ISMIS 2009: 35-44 - [c35]Peter Klügl, Martin Atzmueller, Frank Puppe:
Meta-level Information Extraction. KI 2009: 233-240 - [c34]Martin Atzmueller, Florian Lemmerich, Frank Puppe:
Fast and Effective Subgroup Mining for Continuous Target Variables. LWA 2009: KDML:1-8 - [c33]Peter Kluegl, Martin Atzmueller, Tobias Hermann, Frank Puppe:
A Framework for Semi-Automatic Development of Rule-based Information Extraction Applications. LWA 2009: KDML:56-59 - [c32]Peter Kluegl, Martin Atzmueller, Frank Puppe:
Meta-Level Information Extraction. LWA 2009: KDML:60-63 - [p1]Martin Atzmueller, Frank Puppe:
A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery. Knowledge Discovery Enhanced with Semantic and Social Information 2009: 19-36 - 2008
- [j5]Martin Atzmüller, Frank Puppe:
A case-based approach for characterization and analysis of subgroup patterns. Appl. Intell. 28(3): 210-221 (2008) - [c31]Frank Puppe, Martin Atzmüller, Georg Buscher, Matthias Hüttig, Hardi Luehrs, Hans-Peter Buscher:
Application and Evaluation of a Medical Knowledge System in Sonography (SONOCONSULT). ECAI 2008: 683-687 - [c30]Martin Atzmüller, Frank Puppe:
Semi-Automatic Refinement and Assessment of Subgroup Patterns. FLAIRS 2008: 323-328 - [c29]Martin Atzmüller, Florian Lemmerich:
A Methodological Approach for the Effective Modeling of Bayesian Networks. KI 2008: 160-168 - [c28]Peter Klügl, Martin Atzmüller, Frank Puppe:
Test-Driven Development of Complex Information Extraction Systems using TextMarker. KESE 2008 - [c27]Martin Atzmüller, Peter Klügl, Frank Puppe:
Rule-Based Information Extraction for Structured Data Acquisition using TextMarker. LWA 2008: 1-7 - [c26]Florian Lemmerich, Martin Atzmüller:
Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology. LWA 2008: 69-76 - [c25]Peter Klügl, Martin Atzmüller, Frank Puppe:
Integrating the Rule-Based IE Component TextMarker into UIMA. LWA 2008: 73-77 - [e1]Joachim Baumeister, Martin Atzmüller:
LWA 2008 - Workshop-Woche: Lernen, Wissen & Adaptivität, Würzburg, Deutschland, 6.-8. Oktober 2008, Proceedings. Technical Report 448, Department of Computer Science, University of Würzburg, Germany 2008 [contents] - 2007
- [j4]Martin Atzmüller:
Knowledge-Intensive Subgroup Mining. Künstliche Intell. 21(2): 53-54 (2007) - [c24]Martin Atzmüller, Joachim Baumeister, Frank Puppe:
Pattern-Constrained Test Case Generation. FLAIRS 2007: 518-523 - [c23]Martin Atzmüller, Frank Puppe, Hans-Peter Buscher:
Onto Confounding-Aware Subgroup Discovery. ICTAI (2) 2007: 163-170 - [c22]Martin Atzmüller, Peter Klügl, Joachim Baumeister, Frank Puppe:
Rapid knowledge capture using subgroup discovery with incremental refinement. K-CAP 2007: 31-38 - [c21]Martin Atzmüller:
Experience Management with Task-Configurations and Task-Patterns for Descriptive Data Mining. KESE 2007 - [c20]Martin Atzmüller, Frank Puppe:
Towards Confounding-Aware Subgroup Discovery. LWA 2007: 87-93 - [c19]Martin Atzmüller, Frank Puppe:
Causal Subgroup Analysis for Detecting Confounding. INAP/WLP 2007: 136-148 - [c18]Martin Atzmüller, Dietmar Seipel:
Using Declarative Specifications of Domain Knowledge for Descriptive Data Mining. INAP/WLP 2007: 149-164 - 2006
- [b1]Martin Atzmüller:
Knowledge-intensive subgroup mining: techniques for automatic and interactive discovery. Julius Maximilians University Würzburg, Germany, Aka 2006, ISBN 978-3-89838-307-3, pp. 1-214 - [j3]Martin Atzmüller, Joachim Baumeister, Frank Puppe:
Semi-automatic learning of simple diagnostic scores utilizing complexity measures. Artif. Intell. Medicine 37(1): 19-30 (2006) - [j2]Martin Atzmüller, Joachim Baumeister, Mario Goller, Frank Puppe:
A Datagenerator for Evaluating Machine Learning Methods. Künstliche Intell. 20(3): 57-63 (2006) - [c17]Martin Atzmüller, Frank Puppe:
A Methodological View on Knowledge-Intensive Subgroup Discovery. EKAW 2006: 318-325 - [c16]Martin Atzmüller, Joachim Baumeister, Frank Puppe:
Introspective Subgroup Analysis for Interactive Knowledge Refinement. FLAIRS 2006: 402-407 - [c15]Joachim Baumeister, Martin Atzmüller, Peter Klügl, Frank Puppe:
Conservative and Creative Strategies for the Refinement of Scoring Rules. FLAIRS 2006: 408-413 - [c14]Martin Atzmüller:
Case-Based Characterization and Analysis of Subgroup Patterns. LWA 2006: 237-244 - [c13]Martin Atzmüller, Frank Puppe:
SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery. PKDD 2006: 6-17 - 2005
- [j1]Martin Atzmüller, Frank Puppe:
Semi-Automatic Visual Subgroup Mining using VIKAMINE. J. Univers. Comput. Sci. 11(11): 1752-1765 (2005) - [c12]Martin Atzmüller, Joachim Baumeister, Achim Hemsing, Ernst-Jürgen Richter, Frank Puppe:
Subgroup Mining for Interactive Knowledge Refinement. AIME 2005: 453-462 - [c11]Martin Atzmüller, Frank Puppe, Hans-Peter Buscher:
Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery. IJCAI 2005: 647-652 - [c10]Martin Atzmüller, Joachim Baumeister, Frank Puppe:
Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement. Leipziger Informatik-Tage 2005: 101-106 - [c9]Frank Puppe, Georg Buscher, Martin Atzmüller, Matthias Hüttig, Hans-Peter Buscher:
Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult). Wissensmanagement 2005: 299-304 - [c8]Frank Puppe, Georg Buscher, Martin Atzmüller, Matthias Hüttig, Hans-Peter Buscher:
Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult). Wissensmanagement (LNCS Volume) 2005: 319-329 - 2004
- [c7]Martin Atzmüller, Joachim Baumeister, Frank Puppe, Wenqi Shi, John A. Barnden:
Case-Based Approaches for Diagnosing Multiple Disorders. FLAIRS 2004: 154-159 - [c6]Wenqi Shi, John A. Barnden, Martin Atzmüller, Joachim Baumeister:
An Intelligent Diagnosis System Handling Multiple Disorders. Intelligent Information Processing 2004: 421-430 - [c5]Martin Atzmüller, Frank Puppe, Hans-Peter Buscher:
Towards Knowledge-Intensive Subgroup Discovery. LWA 2004: 111-117 - [c4]Martin Atzmüller, Joachim Baumeister, Frank Puppe:
Quality Measures and Semi-automatic Mining of Diagnostic Rule Bases. INAP/WLP 2004: 65-78 - 2003
- [c3]Martin Atzmüller, Joachim Baumeister, Frank Puppe:
Inductive Learning of Simple Diagnostic Scores. ISMDA 2003: 23-30 - [c2]Martin Atzmüller, Joachim Baumeister, Frank Puppe:
Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults. Wissensmanagement 2003: 275-276 - 2002
- [c1]Joachim Baumeister, Martin Atzmüller, Frank Puppe:
Inductive Learning for Case-Based Diagnosis with Multiple Faults. ECCBR 2002: 28-42
Coauthor Index
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last updated on 2024-12-10 21:42 CET by the dblp team
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