Inductive Learning for Case-Based Diagnosis with Multiple Faults. - Joachim Baumeister; Martin Atzmüller; Frank Puppe (ECCBR, 2002)

Inductive Learning of Simple Diagnostic Scores. - Martin Atzmüller; Joachim Baumeister; Frank Puppe (ISMDA, 2003)

Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults. - Martin Atzmüller; Joachim Baumeister; Frank Puppe (Wissensmanagement, 2003)

Case-Based Approaches for Diagnosing Multiple Disorders. - Martin Atzmüller; Joachim Baumeister; Frank Puppe; Wenqi Shi; John A. Barnden (FLAIRS, 2004)

An Intelligent Diagnosis System Handling Multiple Disorders. - Wenqi Shi; John A. Barnden; Martin Atzmüller; Joachim Baumeister (IIP, 2004)

Towards Knowledge-Intensive Subgroup Discovery. - Martin Atzmüller; Frank Puppe; Hans-Peter Buscher (LWA, 2004)

Quality Measures and Semi-automatic Mining of Diagnostic Rule Bases. - Martin Atzmüller; Joachim Baumeister; Frank Puppe (INAP/WLP, 2004)

Subgroup Mining for Interactive Knowledge Refinement. - Martin Atzmüller; Joachim Baumeister; Achim Hemsing; Ernst-Jürgen Richter; Frank Puppe (AIME, 2005)

Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery. - Martin Atzmüller; Frank Puppe; Hans-Peter Buscher (IJCAI, 2005)

Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement. - Martin Atzmüller; Joachim Baumeister; Frank Puppe (Leipziger Informatik-Tage, 2005)

Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult). - Frank Puppe; Georg Buscher; Martin Atzmüller; Matthias Hüttig; Hans-Peter Buscher (Wissensmanagement, 2005)

Semi-Automatic Visual Subgroup Mining using VIKAMINE. - Martin Atzmüller; Frank Puppe (J. Univers. Comput. Sci., 2005)

A Methodological View on Knowledge-Intensive Subgroup Discovery. - Martin Atzmüller; Frank Puppe (EKAW, 2006)

Introspective Subgroup Analysis for Interactive Knowledge Refinement. - Martin Atzmüller; Joachim Baumeister; Frank Puppe (FLAIRS, 2006)

Conservative and Creative Strategies for the Refinement of Scoring Rules. - Joachim Baumeister; Martin Atzmüller; Peter Klügl; Frank Puppe (FLAIRS, 2006)

Case-Based Characterization and Analysis of Subgroup Patterns. - Martin Atzmüller (LWA, 2006)

SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery. - Martin Atzmüller; Frank Puppe (PKDD, 2006)

Semi-automatic learning of simple diagnostic scores utilizing complexity measures. - Martin Atzmüller; Joachim Baumeister; Frank Puppe (Artif. Intell. Medicine, 2006)

A Datagenerator for Evaluating Machine Learning Methods. - Martin Atzmüller; Joachim Baumeister; Mario Goller; Frank Puppe (Künstliche Intell., 2006)

Knowledge-intensive subgroup mining: techniques for automatic and interactive discovery. - Martin Atzmüller (Aka, 2006)

Pattern-Constrained Test Case Generation. - Martin Atzmüller; Joachim Baumeister; Frank Puppe (FLAIRS, 2007)

Onto Confounding-Aware Subgroup Discovery. - Martin Atzmüller; Frank Puppe; Hans-Peter Buscher (ICTAI (2), 2007)

Rapid knowledge capture using subgroup discovery with incremental refinement. - Martin Atzmüller; Peter Klügl; Joachim Baumeister; Frank Puppe (K-CAP, 2007)

Experience Management with Task-Configurations and Task-Patterns for Descriptive Data Mining. - Martin Atzmüller (KESE, 2007)

Towards Confounding-Aware Subgroup Discovery. - Martin Atzmüller; Frank Puppe (LWA, 2007)

Causal Subgroup Analysis for Detecting Confounding. - Martin Atzmüller; Frank Puppe (INAP/WLP, 2007)

Using Declarative Specifications of Domain Knowledge for Descriptive Data Mining. - Martin Atzmüller; Dietmar Seipel (INAP/WLP, 2007)

Knowledge-Intensive Subgroup Mining. - Martin Atzmüller (Künstliche Intell., 2007)

Application and Evaluation of a Medical Knowledge System in Sonography (SONOCONSULT). - Frank Puppe; Martin Atzmüller; Georg Buscher; Matthias Hüttig; Hardi Luehrs; Hans-Peter Buscher (ECAI, 2008)

Semi-Automatic Refinement and Assessment of Subgroup Patterns. - Martin Atzmüller; Frank Puppe (FLAIRS, 2008)

A Methodological Approach for the Effective Modeling of Bayesian Networks. - Martin Atzmüller; Florian Lemmerich (KI, 2008)

Test-Driven Development of Complex Information Extraction Systems using TextMarker. - Peter Klügl; Martin Atzmüller; Frank Puppe (KESE, 2008)

Rule-Based Information Extraction for Structured Data Acquisition using TextMarker. - Martin Atzmüller; Peter Klügl; Frank Puppe (LWA, 2008)

Integrating the Rule-Based IE Component TextMarker into UIMA. - Peter Klügl; Martin Atzmüller; Frank Puppe (LWA, 2008)

Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology. - Florian Lemmerich; Martin Atzmüller (LWA, 2008)

A case-based approach for characterization and analysis of subgroup patterns. - Martin Atzmüller; Frank Puppe (Appl. Intell., 2008)

A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture. - Martin Atzmueller; Grzegorz J. Nalepa (FLAIRS, 2009)

A Data Warehouse-Based Approach for Quality Management, Analysis and Evaluation of Intelligent Systems using Subgroup Mining. - Martin Atzmüller; Frank Puppe; Stephanie Beer (FLAIRS, 2009)

Fast Subgroup Discovery for Continuous Target Concepts. - Martin Atzmüller; Florian Lemmerich (ISMIS, 2009)

Meta-level Information Extraction. - Peter Klügl; Martin Atzmueller; Frank Puppe (KI, 2009)

Fast and Effective Subgroup Mining for Continuous Target Variables. - Martin Atzmueller; Florian Lemmerich; Frank Puppe (LWA, 2009)

A Framework for Semi-Automatic Development of Rule-based Information Extraction Applications. - Peter Kluegl; Martin Atzmueller; Tobias Hermann; Frank Puppe (LWA, 2009)

A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery. - Martin Atzmüller; Frank Puppe; Hans-Peter Buscher (Int. J. Artif. Intell. Tools, 2009)

A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery. - Martin Atzmueller; Frank Puppe (Knowledge Discovery Enhanced with Semantic and Social Information, 2009)

Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining. - Martin Atzmueller; Thomas Roth-Berghofer (ExaCt, 2010)

Fast Discovery of Relevant Subgroup Patterns. - Florian Lemmerich; Mathias Rohlfs; Martin Atzmüller (FLAIRS, 2010)

Community Assessment Using Evidence Networks. - Folke Mitzlaff; Martin Atzmueller; Dominik Benz; Andreas Hotho; Gerd Stumme (MSM/MUSE, 2010)

The Mining and Analysis Continuum of Explaining Uncovered. - Martin Atzmueller; Thomas Roth-Berghofer (SGAI Conf., 2010)

EWMA control charts for monitoring binary processes with applications to medical diagnosis data. - Christian H. Weiß; Martin Atzmüller (Qual. Reliab. Eng. Int., 2010)

Analysis of communities in social media. - Martin Atzmueller (SMUC, 2011)

Efficient Descriptive Community Mining. - Martin Atzmueller; Folke Mitzlaff (FLAIRS, 2011)

Face-to-Face Contacts during LWA 2010 Communities, Roles, and Key Players. - Martin Atzmueller; Stephan Doerfel; Folke Mitzlaff; Gerd Stumme (LWA, 2011)

VIKAMINE - A Rich-Client Environment for Intelligent Pattern Mining and Subgroup Discovery. - Martin Atzmueller; Florian Lemmerich (LWA, 2011)

Resource-Aware On-line RFID Localization Using Proximity Data. - Christoph Scholz 001; Stephan Doerfel; Martin Atzmueller; Andreas Hotho; Gerd Stumme (ECML/PKDD (3), 2011)

Towards Mining Semantic Maturity in Social Bookmarking Systems. - Martin Atzmueller; Dominik Benz; Andreas Hotho; Gerd Stumme (SDoW@ISWC, 2011)

Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles. - Martin Atzmueller; Stephan Doerfel; Andreas Hotho; Folke Mitzlaff; Gerd Stumme (MSM/MUSE, 2011)

Modeling Location-Based Profiles of Social Image Media Using Explorative Pattern Mining. - Florian Lemmerich; Martin Atzmueller (SocialCom/PASSAT, 2011)

Describing Locations Using Tags and Images: Explorative Pattern Mining in Social Media. - Florian Lemmerich; Martin Atzmueller (MSM/MUSE, 2011)

Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers. - Bjoern Elmar Macek; Martin Atzmueller; Gerd Stumme (SocialCom/PASSAT, 2011)

Enhancing Social Interactions at Conferences. - Martin Atzmüller; Dominik Benz; Stephan Doerfel; Andreas Hotho; Robert Jäschke; Bjoern Elmar Macek; Folke Mitzlaff; Christoph Scholz 001; Gerd Stumme (it Inf. Technol., 2011)

Data Mining, Validation, and Collaborative Knowledge Capture. - Martin Atzmueller; Stephanie Beer; Frank Puppe (Collaboration and the Semantic Web, 2012)

Ubicon: Observing Physical and Social Activities. - Martin Atzmueller; Martin Becker 003; Stephan Doerfel; Andreas Hotho; Mark Kibanov; Bjoern Elmar Macek; Folke Mitzlaff; Juergen Mueller; Christoph Scholz 001; Gerd Stumme (GreenCom, 2012)

A Personality Based Design Approach Using Subgroup Discovery. - Kay Behrenbruch; Martin Atzmüller; Christoph Evers; Ludger Schmidt; Gerd Stumme; Kurt Geihs (HCSE, 2012)

Onto collective intelligence in social media: exemplary applications and perspectives. - Martin Atzmueller (MSM, 2012)

Anatomy of a conference. - Bjoern Elmar Macek; Christoph Scholz 001; Martin Atzmueller; Gerd Stumme (HT, 2012)

VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics. - Martin Atzmueller; Florian Lemmerich (ECML/PKDD (2), 2012)

Generic Pattern Trees for Exhaustive Exceptional Model Mining. - Florian Lemmerich; Martin Becker 003; Martin Atzmueller (ECML/PKDD (2), 2012)

Mining Complex Event Patterns in Computer Networks. - Dietmar Seipel; Philipp Neubeck; Stefan Köhler 002; Martin Atzmueller (NFMCP, 2012)

On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties. - Christoph Scholz 001; Martin Atzmueller; Gerd Stumme (SocialCom/PASSAT, 2012)

Mining Social Media. - Martin Atzmueller (Inform. Spektrum, 2012)

Hypertext 2012: linking people, data, resources and stories. - Martin Atzmueller (SIGWEB Newsl., 2012)

Mining social media: key players, sentiments, and communities. - Martin Atzmueller (WIREs Data Mining Knowl. Discov., 2012)

Visualizing the impact of time series data for predicting user interactions. - Bjoern Elmar Macek; Martin Atzmueller (ASONAM, 2013)

How do people link?: analysis of contact structures in human face-to-face proximity networks. - Christoph Scholz 001; Martin Atzmueller; Mark Kibanov; Gerd Stumme (ASONAM, 2013)

Semantics of User Interaction in Social Media. - Folke Mitzlaff; Martin Atzmueller; Gerd Stumme; Andreas Hotho (CompleNet, 2013)

On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity. - Mark Kibanov; Martin Atzmueller; Christoph Scholz 001; Gerd Stumme (GreenCom/iThings/CPScom, 2013)

Towards capturing social interactions with SDCF: an extensible framework for mobile sensing and ubiquitous data collection. - Martin Atzmueller; Katy Hilgenberg (MSM, 2013)

New Insights and Methods For Predicting Face-To-Face Contacts. - Christoph Scholz 001; Martin Atzmueller; Alain Barrat; Ciro Cattuto; Gerd Stumme (ICWSM, 2013)

Exploratory Subgroup Analytics on Ubiquitous Data. - Martin Atzmueller; Juergen Mueller; Martin Becker 003 (MSM/MUSE, 2013)

How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned. - Mark Kibanov; Dominik J. Erdmann; Martin Atzmueller (Software Engineering (Workshops), 2013)

User-Relatedness and Community Structure in Social Interaction Networks. - Folke Mitzlaff; Martin Atzmueller; Dominik Benz; Andreas Hotho; Gerd Stumme (CoRR, 2013)

Exploratory pattern mining on social media using geo-references and social tagging information. - Martin Atzmueller; Florian Lemmerich (Int. J. Web Sci., 2013)

Mining Social Links for Ubiquitous Knowledge Engineering. - Christoph Scholz 001; Bjoern Elmar Macek; Martin Atzmueller; Stephan Doerfel; Gerd Stumme (Socio-technical Design of Ubiquitous Computing Systems, 2014)

Connect-U: A System for Enhancing Social Networking. - Martin Atzmueller; Kay Behrenbruch; Axel Hoffmann; Mark Kibanov; Bjoern Elmar Macek; Christoph Scholz 001; Hendrik Skistims; Matthias Söllner 001; Gerd Stumme (Socio-technical Design of Ubiquitous Computing Systems, 2014)

Predicting the stability of user interaction ties in Twitter. - Bjoern Elmar Macek; Martin Atzmüller; Gerd Stumme (I-KNOW, 2014)

Unsupervised and Hybrid Approaches for On-line RFID Localization with Mixed Context Knowledge. - Christoph Scholz 001; Martin Atzmueller; Gerd Stumme (ISMIS, 2014)

On the Predictability of Talk Attendance at Academic Conferences. - Christoph Scholz 001; Jens Illig; Martin Atzmüller; Gerd Stumme (LWA, 2014)

Analyzing and Grounding Social Interaction in Online and Offline Networks. - Martin Atzmueller (ECML/PKDD (3), 2014)

Formation and Temporal Evolution of Social Groups During Coffee Breaks. - Martin Atzmueller; Andreas Ernst; Friedrich Krebs; Christoph Scholz 001; Gerd Stumme (MSM/MUSE/SenseML, 2014)

On the evolution of social groups during coffee breaks. - Martin Atzmueller; Andreas Ernst; Friedrich Krebs; Christoph Scholz 001; Gerd Stumme (WWW (Companion Volume), 2014)

On the predictability of recurring links in networks of face-to-face proximity. - Christoph Scholz 001; Martin Atzmueller; Gerd Stumme (WWW (Companion Volume), 2014)

Temporal evolution of contacts and communities in networks of face-to-face human interactions. - Mark Kibanov; Martin Atzmueller; Christoph Scholz 001; Gerd Stumme (Sci. China Inf. Sci., 2014)

Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity. - Christoph Scholz 001; Martin Atzmueller; Gerd Stumme (CoRR, 2014)

Data Mining on Social Interaction Networks. - Martin Atzmueller (J. Data Min. Digit. Humanit., 2014)

Ubicon and its applications for ubiquitous social computing. - Martin Atzmueller; Martin Becker 003; Mark Kibanov; Christoph Scholz 001; Stephan Doerfel; Andreas Hotho; Bjoern Elmar Macek; Folke Mitzlaff; Juergen Mueller; Gerd Stumme (New Rev. Hypermedia Multim., 2014)

Predictability of evolving contacts and triadic closure in human face-to-face proximity networks. - Christoph Scholz 001; Martin Atzmueller; Mark Kibanov; Gerd Stumme (Soc. Netw. Anal. Min., 2014)

The social distributional hypothesis: a pragmatic proxy for homophily in online social networks. - Folke Mitzlaff; Martin Atzmüller; Andreas Hotho; Gerd Stumme (Soc. Netw. Anal. Min., 2014)

Is Web Content a Good Proxy for Real-Life Interaction?: A Case Study Considering Online and Offline Interactions of Computer Scientists. - Mark Kibanov; Martin Atzmueller; Jens Illig; Christoph Scholz 001; Alain Barrat; Ciro Cattuto; Gerd Stumme (ASONAM, 2015)

Subgroup and Community Analytics on Attributed Graphs. - Martin Atzmueller (SNAFCA@ICFCA, 2015)

Subgroup Discovery as a Method for Generating Test Ontologies. - Daniel Knoell; Constantin Rieder; Martin Atzmueller; Klaus-Peter Scherer (LWA, 2015)

Adaptive Class Association Rule Mining for Human Activity Recognition. - Martin Atzmueller; Mark Kibanov; Naveed Hayat; Matthias Trojahn; Dennis Kroll (MUSE@PKDD/ECML, 2015)

Subgroup discovery. - Martin Atzmueller (WIREs Data Mining Knowl. Discov., 2015)

Detecting community patterns capturing exceptional link trails. - Martin Atzmueller (ASONAM, 2016)

Social event network analysis: Structure, preferences, and reality. - Martin Atzmueller; Tom Hanika; Gerd Stumme; Richard Schaller; Bernd Ludwig (ASONAM, 2016)

Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media. - Martin Atzmüller (Solving Large Scale Learning Tasks, 2016)

Sensing, processing and analytics: augmenting the Ubicon platform for anticipatory ubiquitous computing. - Martin Atzmueller; Björn Fries; Naveed Hayat (UbiComp Adjunct, 2016)

Analyzing group interaction and dynamics on socio-behavioral networks of face-to-face proximity. - Martin Atzmueller; Lisa Thiele; Gerd Stumme; Simone Kauffeld (UbiComp Adjunct, 2016)

Defining software architectures for big data enabled operator support systems. - Benjamin Klöpper; Marcel Dix; Lukas Schorer; Ann Ampofo; Martin Atzmueller; David Arnu; Ralf Klinkenberg (INDIN, 2016)

Sequential Modeling and Structural Anomaly Analytics in Industrial Production Environments. - Martin Atzmueller; Andreas Schmidt 001; David Arnu (LWDA, 2016)

BISHOP - Big Data Driven Self-Learning Support for High-performance Ontology Population. - Daniel Knöll; Martin Atzmueller; Constantin Rieder; Klaus-Peter Scherer (LWDA, 2016)

Local Exceptionality Detection on Social Interaction Networks. - Martin Atzmueller (ECML/PKDD (3), 2016)

HypGraphs: An Approach for Analysis and Assessment of Graph-Based and Sequential Hypotheses. - Martin Atzmueller; Andreas Schmidt 001; Benjamin Klöpper; David Arnu (NFMCP@PKDD/ECML, 2016)

Community detection: from plain to attributed complex networks. - Martin Atzmueller (WebSci, 2016)

DASHTrails: An Approach for Modeling and Analysis of Distribution-Adapted Sequential Hypotheses and Trails. - Martin Atzmueller; Andreas Schmidt 001; Mark Kibanov (WWW (Companion Volume), 2016)

Stratification-Oriented Analysis of Community Structure in Networks of Face-to-Face Proximity. - Stefan Bloemheuvel; Martin Atzmueller; Marie Postma (MSM@WWW,MUSE@PKDD/ECML, 2016)

Multimodal Behavioral Mobility Pattern Mining and Analysis Using Topic Modeling on GPS Data. - Sebastiaan Merino; Martin Atzmueller (MSM@WWW,MUSE@PKDD/ECML, 2016)

Fast exhaustive subgroup discovery with numerical target concepts. - Florian Lemmerich; Martin Atzmueller; Frank Puppe (Data Min. Knowl. Discov., 2016)

Description-oriented community detection using exhaustive subgroup discovery. - Martin Atzmueller; Stephan Doerfel; Folke Mitzlaff (Inf. Sci., 2016)

Collective Sensing Platforms. - Martin Atzmueller; Martin Becker 003; Juergen Mueller (Participatory Sensing, Opinions and Collective Awareness, 2017)

Applications for Environmental Sensing in EveryAware. - Martin Atzmueller; Martin Becker 003; Andrea Molino; Juergen Mueller; Jan Peters 002; Alina Sîrbu (Participatory Sensing, Opinions and Collective Awareness, 2017)

Erratum to: Observing Human Activity Through Sensing. - Sidharta Gautama; Martin Atzmueller; Vassilis Kostakos; Dominique Gillis; Simo Hosio (Participatory Sensing, Opinions and Collective Awareness, 2017)

Observing Human Activity Through Sensing. - Sidharta Gautama; Martin Atzmueller; Vassilis Kostakos; Dominique Gillis; Simo Hosio (Participatory Sensing, Opinions and Collective Awareness, 2017)

Declarative Aspects in Explicative Data Mining for Computational Sensemaking. - Martin Atzmueller (DECLARE, 2017)

Explanation-aware feature selection using symbolic time series abstraction: Approaches and experiences in a petro-chemical production context. - Martin Atzmueller; Naveed Hayat; Andreas Schmidt 001; Benjamin Klöpper (INDIN, 2017)

Mixed-Initiative Feature Engineering Using Knowledge Graphs. - Martin Atzmueller; Eric Sternberg (K-CAP, 2017)

A Scalable Framework for Data-Driven Ontology Evaluation. - Daniel Knoell; Martin Atzmueller; Constantin Rieder; Klaus-Peter Scherer (WM, 2017)

Descriptive Community Detection. - Martin Atzmueller (Formal Concept Analysis of Social Networks, 2017)

Towards Estimating Happiness using Social Sensing: Perspectives on Organizational Social Network Analysis. - Martin Atzmueller; Daan Kolkman; Werner Liebregts; Arjan Haring (AfCAI, 2018)

Towards Estimating Collective Motor Behavior: Aware of Self vs. Aware of the Other. - Lisa E. Rombout; Martin Atzmüller; Marie Postma-Nilsenová (AfCAI, 2018)

Compositional Subgroup Discovery on Attributed Social Interaction Networks. - Martin Atzmueller (DS, 2018)

MinerLSD: Efficient Local Pattern Mining on Attributed Graphs. - Martin Atzmueller; Henry Soldano; Guillaume Santini; Dominique Bouthinon (ICDM Workshops, 2018)

Mining Attributed Interaction Networks on Industrial Event Logs. - Martin Atzmueller; Benjamin Klöpper (IDEAL (2), 2018)

Identifying Exceptional Descriptions of People Using Topic Modeling and Subgroup Discovery. - Andrew T. Hendrickson; Jason Wang; Martin Atzmueller (ISMIS, 2018)

Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context. - Eric Sternberg; Martin Atzmueller (ISMIS, 2018)

On Requirements and Design Criteria for Explainability in Legal AI. - Martijn van Otterlo; Martin Atzmueller (XAILA@JURIX, 2018)

Adaptive kNN using expected accuracy for classification of geo-spatial data. - Mark Kibanov; Martin Becker 003; Juergen Mueller; Martin Atzmueller; Andreas Hotho; Gerd Stumme (SAC, 2018)

International Workshop on Modeling Social Media (MSM 2018) Chairs' Welcome & Organization. - Martin Atzmueller; Alvin Chin; Christoph Trattner (WWW (Companion Volume), 2018)

International Workshop on Mining Attributed Networks (MATNET 2018) Chairs' Welcome. - Martin Atzmueller; Sabrina Gaito; Roberto Interdonato; Rushed Kanawati; Christine Largeron; Matteo Magnani; Alessandra Sala (WWW (Companion Volume), 2018)

Homophily at Academic Conferences. - Martin Atzmueller; Florian Lemmerich (WWW (Companion Volume), 2018)

Community Detection and Analysis on Attributed Social Networks. - Martin Atzmueller (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

Towards Socio-Technical Design of Explicative Systems: Transparent, Interpretable and Explainable Analytics and Its Perspectives in Social Interaction Contexts information. - Martin Atzmueller (AfCAI, 2019)

Towards Multimodal Characterization of Dialogic Moments on Social Group Face-to-Face Interaction. - Ngoc N. T. Doan; Andrius Penkauskas; Ecaterina Grigoriev; Lisa E. Rombout; Paris Mavromoustakos Blom; Maryam Alimardani; Martin Atzmueller (AfCAI, 2019)

A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis. - Erica Ramirez; Markus Wimmer; Martin Atzmueller (KR4HC/ProHealth/TEAAM@AIME, 2019)

Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs. - Stefan Bloemheuvel; Benjamin Klöpper; Martin Atzmüller (Business Process Management Workshops, 2019)

A Framework for Human-Centered Exploration of Complex Event Log Graphs. - Martin Atzmueller; Stefan Bloemheuvel; Benjamin Klöpper (DS, 2019)

Mining Exceptional Social Behaviour. - Carolina Centeio Jorge; Martin Atzmueller; Behzad Momahed Heravi; Jenny L. Gibson; Cláudio Rebelo de Sá; Rosaldo J. F. Rossetti (EPIA (2), 2019)

Behavioral Analysis on Socio-Spatial Interaction Networks concerning User Preferences, Interactions and their Perception. - Martin Atzmueller; Çiçek Güven; Spyroula Masiala; Rick Mackenbach; Parisa Shayan; Werner Liebregts (ABIS@HT, 2019)

Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context. - Parisa Shayan; Roberto Rondinelli; Menno van Zaanen; Martin Atzmueller (ABIS@HT, 2019)

Finding Maximal Non-redundant Association Rules in Tennis Data. - Daniel Weidner; Martin Atzmueller; Dietmar Seipel (DECLARE, 2019)

Onto Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction Networks. - Martin Atzmueller (WWW (Companion Volume), 2019)

Modeling and Mining Feature-Rich Networks. - Rushed Kanawati; Martin Atzmueller (WWW (Companion Volume), 2019)

MinerLSD: efficient mining of local patterns on attributed networks. - Martin Atzmueller; Henry Soldano; Guillaume Santini; Dominique Bouthinon (Appl. Netw. Sci., 2019)

Feature-rich networks: going beyond complex network topologies. - Roberto Interdonato; Martin Atzmueller; Sabrina Gaito; Rushed Kanawati; Christine Largeron; Alessandra Sala (Appl. Netw. Sci., 2019)

Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations. - Martin Atzmueller; Çiçek Güven; Dietmar Seipel (CoRR, 2019)

Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks. - Spyroula Masiala; Willem Huijbers; Martin Atzmueller (CoRR, 2019)

Applying Answer Set Programming for Knowledge-Based Link Prediction on Social Interaction Networks. - Çiçek Güven; Martin Atzmueller (Frontiers Big Data, 2019)

Predicting trading interactions in an online marketplace through location-based and online social networks. - Lukas Eberhard; Christoph Trattner; Martin Atzmueller (Inf. Retr. J., 2019)

Social studies of scholarly life with sensor-based ethnographic observations. - Mark Kibanov; Raphael Heiko Heiberger; Simone Rödder; Martin Atzmueller; Gerd Stumme (Scientometrics, 2019)

A Conceptual View on the Design and Properties of Explainable AI Systems for Legal Settings. - Martijn van Otterlo; Martin Atzmueller (AICOL, 2020)

Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization. - Asep Maulana; Martin Atzmueller (CoDIT, 2020)

Graph Signal Processing on Complex Networks for Structural Health Monitoring. - Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller (COMPLEX NETWORKS (1), 2020)

Why Should I Trust This Item? Explaining the Recommendations of any Model. - Corentin Lonjarret; Céline Robardet; Marc Plantevit; Roch Auburtin; Martin Atzmueller (DSAA, 2020)

An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis. - Jurgen O. D. van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller (ICDM (Workshops), 2020)

Sequential Exceptional Pattern Discovery Using Pattern-Growth: An Extensible Framework for Interpretable Machine Learning on Sequential Data. - Dennis Mollenhauer; Martin Atzmueller (XI-ML@KI, 2020)

Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations. - Travis J. Wiltshire; Dan Hudson; Philia Lijdsman; Stijn Wever; Martin Atzmueller (CoRR, 2020)

Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data. - Dan Hudson; Travis J. Wiltshire; Martin Atzmueller (DS, 2021)

Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data. - Leonid Schwenke; Martin Atzmueller (DSAA, 2021)

Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation. - Timo Markert; Sebastian Matich; Elias Hoerner; Andreas Theissler; Martin Atzmueller (ETFA, 2021)

Interpretable Machine Learning: A brief survey from the predictive maintenance perspective. - Simon Vollert; Martin Atzmueller; Andreas Theissler (ETFA, 2021)

Show Me What You're Looking For Visualizing Abstracted Transformer Attention for Enhancing Their Local Interpretability on Time Series Data. - Leonid Schwenke; Martin Atzmueller (FLAIRS, 2021)

Examining Team Interaction using Dynamic Complexity and Network Visualizations. - Travis J. Wiltshire; Dan Hudson; Max Belitsky; Philia Lijdsman; Stijn Wever; Martin Atzmueller (ICHMS, 2021)

A Hybrid Information Extraction Approach using Transfer Learning on Richly-Structured Documents. - Arnab Ghosh Chowdhury; Nils Schut; Martin Atzmüller (LWDA, 2021)

Abstracting Local Transformer Attention for Enhancing Interpretability on Time Series Data. - Leonid Schwenke; Martin Atzmueller (LWDA, 2021)

Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information. - Ngoc N. T. Doan; Dan Hudson; Travis J. Wiltshire; Philia Lijdsman; Stijn Wever; Martin Atzmueller (UMAP (Adjunct Publication), 2021)

A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring. - Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller (Appl. Netw. Sci., 2021)

Local Exceptionality Detection in Time Series Using Subgroup Discovery. - Dan Hudson; Travis J. Wiltshire; Martin Atzmueller (CoRR, 2021)

Mining communities and their descriptions on attributed graphs: a survey. - Martin Atzmueller; Stephan Günnemann; Albrecht Zimmermann (Data Min. Knowl. Discov., 2021)

Semantic Data Mining in Ubiquitous Sensing: A Survey. - Grzegorz J. Nalepa; Szymon Bobek; Krzysztof Kutt; Martin Atzmueller (Sensors, 2021)

Applying ASP for Knowledge-Based Link Prediction With Explanation Generation in Feature-Rich Networks. - Çiçek Güven; Dietmar Seipel; Martin Atzmueller (IEEE Trans. Netw. Sci. Eng., 2021)

Predicting User Dropout from Their Online Learning Behavior. - Parisa Shayan; Menno van Zaanen; Martin Atzmueller (DS, 2022)

Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview. - Martin Atzmueller; Rushed Kanawati (EICC, 2022)

Towards Tabular Data Extraction From Richly-Structured Documents Using Supervised and Weakly-Supervised Learning. - Arnab Ghosh Chowdhury; Martin ben Ahmed; Martin Atzmueller (ETFA, 2022)

Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations. - Timo Markert; Sebastian Matich; Daniel Neykov; Markus Muenig; Andreas Theissler; Martin Atzmueller (ETFA, 2022)

Assessing the Influence of Time on Features for the Prediction of User Dropout. - Parisa Shayan; Martin Atzmueller; Menno van Zaanen (ICTAI, 2022)

Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task. - Timo Markert; Sebastian Matich; Elias Hoerner; Jonas Pfannes; Andreas Theissler; Martin Atzmueller (IROS, 2022)

Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. - Dan Hudson; Travis J. Wiltshire; Martin Atzmueller (IWINAC (1), 2022)

Multi-Perspective Anomaly Detection on Bipartite Multi-Layer Social Interaction Networks. - Asep Maulana; Martin Atzmueller (KI (Workshops), 2022)

Towards Visual Explanations for Document Table Detection using Coarse Localization Maps. - Arnab Ghosh Chowdhury; Martin Atzmueller (LWDA, 2022)

Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs. - Jurgen O. D. van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller (LWDA, 2022)

Multivariate Time Series Regression with Graph Neural Networks. - Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller (CoRR, 2022)

Performance Evaluation of GNSS Position Augmentation Methods for Autonomous Vehicles in Urban Environments. - Harihara Bharathy Swaminathan; Aron Sommer; Andreas Becker; Martin Atzmueller (Sensors, 2022)

Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery. - Maciej Szelazek; Dan Hudson; Szymon Bobek; Grzegorz J. Nalepa; Martin Atzmueller (DSAA, 2023)

Subgroup Discovery with SD4Py. - Dan Hudson; Martin Atzmueller (ECAI Workshops (1), 2023)

Post-mining on Association Rule Bases. - Dietmar Seipel; Marcel Waleska; Daniel Weidner; Sven Rausch; Martin Atzmueller (ECAI Workshops (2), 2023)

Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis. - Martin Atzmueller; Sophia Sylvester; Rushed Kanawati (EICC, 2023)

Making Time Series Embeddings More Interpretable in Deep Learning - Extracting Higher-Level Features via Symbolic Approximation Representations. - Leonid Schwenke; Martin Atzmueller (FLAIRS, 2023)

Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach. - Leonid Schwenke; Stefan Bloemheuvel; Martin Atzmueller (FLAIRS, 2023)

Active-learning-driven deep interactive segmentation for cost-effective labeling of crop-weed image data. - Freddy Sikouonmeu; Martin Atzmueller (GIL Jahrestagung, 2023)

Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data. - Dan Hudson; Ruud J. R. Den Hartigh; L. Rens A. Meerhoff; Martin Atzmueller (ICDM (Workshops), 2023)

Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach. - Timo Markert; Elias Hoerner; Sebastian Matich; Andreas Theissler; Martin Atzmueller (ICMLA, 2023)

Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries. - Martin ben Ahmed; Niklas Wilming; Martin Atzmueller (INDIN, 2023)

Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data. - Felix Gerschner; Jonas Paul; Lukas Schmid; Nico Barthel; Victor Gouromichos; Florian Schmid; Martin Atzmueller; Andreas Theissler (INDIN, 2023)

Spatial Change Detection Using Automotive Radar. - Harihara Bharathy Swaminathan; Aron Sommer; Andreas Becker; Martin Atzmueller (ITSC, 2023)

A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain. - Tim Bohne; Anne-Kathrin Patricia Windler; Martin Atzmueller (K-CAP, 2023)

Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets. - Eric Lanfer; Sophia Sylvester; Nils Aschenbruck; Martin Atzmueller (LCN, 2023)

Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification. - Andreas Schliebitz; Heiko Tapken; Martin Atzmueller (LWDA, 2023)

Constructing Neural Forms for Hard-Constraint PINNs with Complex Dirichlet Boundaries. - Frank Ehebrecht; Toni Scharle; Martin Atzmueller (PKDD/ECML Workshops (3), 2023)

Extracting Interpretable Local and Global Representations from Attention on Time Series. - Leonid Schwenke; Martin Atzmueller (CoRR, 2023)

Multi-Level Analysis of Learning Management Systems' User Acceptance Exemplified in Two System Case Studies. - Parisa Shayan; Roberto Rondinelli; Menno van Zaanen; Martin Atzmueller (Data, 2023)

Methods for explaining Top-N recommendations through subgroup discovery. - Mouloud Iferroudjene; Corentin Lonjarret; Céline Robardet; Marc Plantevit; Martin Atzmueller (Data Min. Knowl. Discov., 2023)

"Want to come play with me?" Outlier subgroup discovery on spatio-temporal interactions. - Carolina Centeio Jorge; Martin Atzmueller; Behzad Momahed Heravi; Jenny L. Gibson; Rosaldo J. F. Rossetti; Cláudio Rebelo de Sá (Expert Syst. J. Knowl. Eng., 2023)

Graph neural networks for multivariate time series regression with application to seismic data. - Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller (Int. J. Data Sci. Anal., 2023)

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. - 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; et al. (Inf. Fusion, 2023)

Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters. - Jurgen van den Hoogen; Dan Hudson; Martin Atzmueller (ICDEW, 2024)

An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications. - Viacheslav Barkov; Jonas Schmidinger; Robin Gebbers; Martin Atzmueller (ICMLA, 2024)

Graph Signal Processing Unearths the Best Locations for Soil Moisture Sensors. - Jurgen van den Hoogen; Dan Hudson; Martin Atzmueller (ICMLA, 2024)

Mapping Trees Outside Forests Using Semantic Segmentation. - Moritz Lucas; Viacheslav Barkov; Ralf Pecenka; Martin Atzmueller; Björn Waske (IGARSS, 2024)

A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives. - Arnab Ghosh Chowdhury; David Massanés; Steffen Meinert; Martin Atzmueller (IWINAC, 2024)

Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation. - Timo Markert; Sebastian Matich; Daniel Neykov; Jonas Pfannes; Andreas Theissler; Martin Atzmueller (RO-MAN, 2024)

Simplicial complexes in network intrusion profiling. - Mandala von Westenholz; Martin Atzmueller; Tim Römer (CoRR, 2024)

Improving Nonlinear Projection Heads using Pretrained Autoencoder Embeddings. - Andreas Schliebitz; Heiko Tapken; Martin Atzmueller (CoRR, 2024)

Tailoring the Hyperparameters of a Wide-Kernel Convolutional Neural Network to Fit Different Bearing Fault Vibration Datasets. - Dan Hudson; Jurgen van den Hoogen; Martin Atzmueller (CoRR, 2024)

Online Knowledge Integration for 3D Semantic Mapping: A Survey. - Felix Igelbrink; Marian Renz; Martin Günther; Piper Powell; Lennart Niecksch; Oscar Lima; Martin Atzmueller; Joachim Hertzberg (CoRR, 2024)

Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis. - Martin Atzmueller; Tim Bohne; Patricia Windler (CoRR, 2024)

Saliency Methods are Encoders: Analysing Logical Relations Towards Interpretation. - Leonid Schwenke; Martin Atzmueller (CoRR, 2024)

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches. - Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller (Int. J. Data Sci. Anal., 2024)

Explainable and interpretable machine learning and data mining. - Martin Atzmueller; Johannes Fürnkranz; Tomás Kliegr; Ute Schmid (Data Min. Knowl. Discov., 2024)

Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study. - Jurgen van den Hoogen; Dan Hudson; Stefan Bloemheuvel; Martin Atzmueller (Int. J. Data Sci. Anal., 2024)

Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps. - Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller (IEEE Access, 2025)

Saliency Maps are Ambiguous: Analysis of Logical Relations on First and Second Order Attributions. - Leonid Schwenke; Martin Atzmueller (CoRR, 2025)

Precision Liming Soil Datasets (LimeSoDa) Zenodo Repository. - Jonas Schmidinger; Sebastian Vogel; Viacheslav Barkov; A.-D. Pham; Robin Gebbers; Hamed Tavakoli; José Correa; Tibério Tavares Rezende; Patrick Filippi; Edward J. Jones; V. Lukas; Eric Bönecke; et al. (Zenodo, 2025)

LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping. - Jonas Schmidinger; Sebastian Vogel; Viacheslav Barkov; A.-D. Pham; Robin Gebbers; Hamed Tavakoli; José Correa; Tibério Tavares Rezende; Patrick Filippi; Edward J. Jones; V. Lukas; Eric Bönecke; et al. (CoRR, 2025)

PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology. - Anh-Duy Pham; Olivier Basole Kashongwe; Martin Atzmueller; Tim Römer (CoRR, 2025)

Comprehensive Evaluation of Prototype Neural Networks. - Philipp Schlinge; Steffen Meinert; Martin Atzmueller (CoRR, 2025)

Acting and Planning with Hierarchical Operational Models on a Mobile Robot: A Study with RAE+UPOM. - Oscar Lima; Marc Vinci; Sunandita Patra; Sebastian Stock 001; Joachim Hertzberg; Martin Atzmueller; Malik Ghallab; Dana S. Nau; Paolo Traverso (CoRR, 2025)

Modern Neural Networks for Small Tabular Datasets: The New Default for Field-Scale Digital Soil Mapping? - Viacheslav Barkov; Jonas Schmidinger; Robin Gebbers; Martin Atzmueller (CoRR, 2025)

Simplicial complexes in network intrusion profiling: pattern construction through simplicial centralities. - Mandala von Westenholz; Martin Atzmueller; Tim Römer (Appl. Netw. Sci., 2025)