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ORCIDMartin Atzmüller
Martin Atzmueller
Person information
- affiliation: Tilburg University, The Netherlands
- affiliation (former): University of Kassel, Department of Electrical Engineering and Computer Science
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2020 – today
- 2022
[c139]Dan Hudson
, Travis J. Wiltshire, Martin Atzmueller:
Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. IWINAC (1) 2022: 34-44- [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 Conference 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 - [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]Jop 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