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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
- 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, J. J. Martinez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, A. Pereira, Pedro Pinacho Davidson, M. A. Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, J. Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios 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. Inf. Fusion 100: 101945 (2023) - [c154]Martin Atzmueller, Sophia Sylvester, Rushed Kanawati:
Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis. EICC 2023: 153-158 - [c153]Leonid Schwenke, Martin Atzmueller:
Making Time Series Embeddings More Interpretable in Deep Learning - Extracting Higher-Level Features via Symbolic Approximation Representations. FLAIRS 2023 - [c152]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 - [c151]Freddy Sikouonmeu, Martin Atzmueller:
Active-learning-driven deep interactive segmentation for cost-effective labeling of crop-weed image data. GIL Jahrestagung 2023: 507-512 - [c150]Martin ben Ahmed, Niklas Wilming, Martin Atzmueller:
Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries. INDIN 2023: 1-8 - [c149]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 - 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]