Martin Atzmüller

Orcid: 0000-0002-2480-6901

Affiliations:
  • Osnabrück University, Germany
  • Tilburg University, The Netherlands (former)
  • University of Kassel, Department of Electrical Engineering and Computer Science (former)


According to our database1, Martin Atzmüller authored at least 222 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study.
Int. J. Data Sci. Anal., October, 2024

Explainable and interpretable machine learning and data mining.
Data Min. Knowl. Discov., September, 2024

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches.
Int. J. Data Sci. Anal., August, 2024

An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications.
CoRR, 2024

Improving Nonlinear Projection Heads using Pretrained Autoencoder Embeddings.
CoRR, 2024

Simplicial complexes in network intrusion profiling.
CoRR, 2024

Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Mapping Trees Outside Forests Using Semantic Segmentation.
Proceedings of the IGARSS 2024, 2024

Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters.
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Inf. Fusion, December, 2023

Graph neural networks for multivariate time series regression with application to seismic data.
Int. J. Data Sci. Anal., September, 2023

"Want to come play with me?" Outlier subgroup discovery on spatio-temporal interactions.
Expert Syst. J. Knowl. Eng., June, 2023

Methods for explaining Top-N recommendations through subgroup discovery.
Data Min. Knowl. Discov., March, 2023

Multi-Level Analysis of Learning Management Systems' User Acceptance Exemplified in Two System Case Studies.
Data, March, 2023

Extracting Interpretable Local and Global Representations from Attention on Time Series.
CoRR, 2023

Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification.
Proceedings of the Lernen, 2023

Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets.
Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain.
Proceedings of the 12th Knowledge Capture Conference 2023, 2023

Spatial Change Detection Using Automotive Radar.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Active-learning-driven deep interactive segmentation for cost-effective labeling of crop-weed image data.
Proceedings of the 43. GIL-Jahrestagung, 2023

Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Making Time Series Embeddings More Interpretable in Deep Learning - Extracting Higher-Level Features via Symbolic Approximation Representations.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis.
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

Post-mining on Association Rule Bases.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Subgroup Discovery with SD4Py.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Performance Evaluation of GNSS Position Augmentation Methods for Autonomous Vehicles in Urban Environments.
Sensors, 2022

Multivariate Time Series Regression with Graph Neural Networks.
CoRR, 2022

Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs.
Proceedings of the LWDA 2022 Workshops: FGWM, 2022

Towards Visual Explanations for Document Table Detection using Coarse Localization Maps.
Proceedings of the LWDA 2022 Workshops: FGWM, 2022

Multi-Perspective Anomaly Detection on Bipartite Multi-Layer Social Interaction Networks.
Proceedings of the Joint Proceedings of Workshops, 2022

Visualization Methods for Exploratory Subgroup Discovery on Time Series Data.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Assessing the Influence of Time on Features for the Prediction of User Dropout.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

Towards Tabular Data Extraction From Richly-Structured Documents Using Supervised and Weakly-Supervised Learning.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview.
Proceedings of the EICC 2022: European Interdisciplinary Cybersecurity Conference, Barcelona, Spain, June 15, 2022

Predicting User Dropout from Their Online Learning Behavior.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
Applying ASP for Knowledge-Based Link Prediction With Explanation Generation in Feature-Rich Networks.
IEEE Trans. Netw. Sci. Eng., 2021

Semantic Data Mining in Ubiquitous Sensing: A Survey.
Sensors, 2021

Mining communities and their descriptions on attributed graphs: a survey.
Data Min. Knowl. Discov., 2021

Local Exceptionality Detection in Time Series Using Subgroup Discovery.
CoRR, 2021

A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring.
Appl. Netw. Sci., 2021

Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Abstracting Local Transformer Attention for Enhancing Interpretability on Time Series Data.
Proceedings of the LWDA 2021 Workshops: FGWM, 2021

A Hybrid Information Extraction Approach using Transfer Learning on Richly-Structured Documents.
Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Examining Team Interaction using Dynamic Complexity and Network Visualizations.
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021

Show Me What You're Looking For Visualizing Abstracted Transformer Attention for Enhancing Their Local Interpretability on Time Series Data.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Interpretable Machine Learning: A brief survey from the predictive maintenance perspective.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data.
Proceedings of the Discovery Science - 24th International Conference, 2021

2020
Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations.
CoRR, 2020

Sequential Exceptional Pattern Discovery Using Pattern-Growth: An Extensible Framework for Interpretable Machine Learning on Sequential Data.
Proceedings of the First International Workshop on Explainable and Interpretable Machine Learning (XI-ML 2020) co-located with the 43rd German Conference on Artificial Intelligence (KI 2020), 2020

An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Why Should I Trust This Item? Explaining the Recommendations of any Model.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Graph Signal Processing on Complex Networks for Structural Health Monitoring.
Proceedings of the Complex Networks & Their Applications IX, 2020

Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization.
Proceedings of the 7th International Conference on Control, 2020

A Conceptual View on the Design and Properties of Explainable AI Systems for Legal Settings.
Proceedings of the AI Approaches to the Complexity of Legal Systems XI-XII, 2020

2019
Social studies of scholarly life with sensor-based ethnographic observations.
Scientometrics, 2019

Predicting trading interactions in an online marketplace through location-based and online social networks.
Inf. Retr. J., 2019

Applying Answer Set Programming for Knowledge-Based Link Prediction on Social Interaction Networks.
Frontiers Big Data, 2019

Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks.
CoRR, 2019

Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations.
CoRR, 2019

Feature-rich networks: going beyond complex network topologies.
Appl. Netw. Sci., 2019

MinerLSD: efficient mining of local patterns on attributed networks.
Appl. Netw. Sci., 2019

Modeling and Mining Feature-Rich Networks.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Onto Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction Networks.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Finding Maximal Non-redundant Association Rules in Tennis Data.
Proceedings of the Declarative Programming and Knowledge Management, 2019

Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context.
Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, 2019

Behavioral Analysis on Socio-Spatial Interaction Networks concerning User Preferences, Interactions and their Perception.
Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, 2019

Mining Exceptional Social Behaviour.
Proceedings of the Progress in Artificial Intelligence, 2019

A Framework for Human-Centered Exploration of Complex Event Log Graphs.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs.
Proceedings of the Business Process Management Workshops, 2019

A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis.
Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

Towards Multimodal Characterization of Dialogic Moments on Social Group Face-to-Face Interaction.
Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), 2019

Towards Socio-Technical Design of Explicative Systems: Transparent, Interpretable and Explainable Analytics and Its Perspectives in Social Interaction Contexts information.
Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), 2019

2018
Community Detection and Analysis on Attributed Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Homophily at Academic Conferences.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

International Workshop on Mining Attributed Networks (MATNET 2018) Chairs' Welcome.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

International Workshop on Modeling Social Media (MSM 2018) Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Adaptive kNN using expected accuracy for classification of geo-spatial data.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

On Requirements and Design Criteria for Explainability in Legal AI.
Proceedings of the EXplainable AI in Law Workshop co-located with the 31st International Conference on Legal Knowledge and Information Systems, 2018

Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Identifying Exceptional Descriptions of People Using Topic Modeling and Subgroup Discovery.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Mining Attributed Interaction Networks on Industrial Event Logs.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

MinerLSD: Efficient Local Pattern Mining on Attributed Graphs.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Compositional Subgroup Discovery on Attributed Social Interaction Networks.
Proceedings of the Discovery Science - 21st International Conference, 2018

Towards Estimating Collective Motor Behavior: Aware of Self vs. Aware of the Other.
Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018), 2018

Towards Estimating Happiness using Social Sensing: Perspectives on Organizational Social Network Analysis.
Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018), 2018

2017
Descriptive Community Detection.
Proceedings of the Formal Concept Analysis of Social Networks, 2017

A Scalable Framework for Data-Driven Ontology Evaluation.
Proceedings of the Tagungsband der 9. Konferenz Professionelles Wissensmanagement (Professional Knowledge Management), 2017

Mixed-Initiative Feature Engineering Using Knowledge Graphs.
Proceedings of the Knowledge Capture Conference, 2017

Explanation-aware feature selection using symbolic time series abstraction: Approaches and experiences in a petro-chemical production context.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Declarative Aspects in Explicative Data Mining for Computational Sensemaking.
Proceedings of the Declarative Programming and Knowledge Management, 2017

Observing Human Activity Through Sensing.
Proceedings of the Participatory Sensing, Opinions and Collective Awareness, 2017

Erratum to: Observing Human Activity Through Sensing.
Proceedings of the Participatory Sensing, Opinions and Collective Awareness, 2017

Applications for Environmental Sensing in EveryAware.
Proceedings of the Participatory Sensing, Opinions and Collective Awareness, 2017

Collective Sensing Platforms.
Proceedings of the Participatory Sensing, Opinions and Collective Awareness, 2017

2016
Description-oriented community detection using exhaustive subgroup discovery.
Inf. Sci., 2016

Fast exhaustive subgroup discovery with numerical target concepts.
Data Min. Knowl. Discov., 2016

Multimodal Behavioral Mobility Pattern Mining and Analysis Using Topic Modeling on GPS Data.
Proceedings of the Behavioral Analytics in Social and Ubiquitous Environments, 2016

Stratification-Oriented Analysis of Community Structure in Networks of Face-to-Face Proximity.
Proceedings of the Behavioral Analytics in Social and Ubiquitous Environments, 2016

DASHTrails: An Approach for Modeling and Analysis of Distribution-Adapted Sequential Hypotheses and Trails.
Proceedings of the 25th International Conference on World Wide Web, 2016

Community detection: from plain to attributed complex networks.
Proceedings of the 8th ACM Conference on Web Science, 2016

HypGraphs: An Approach for Analysis and Assessment of Graph-Based and Sequential Hypotheses.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

Local Exceptionality Detection on Social Interaction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

BISHOP - Big Data Driven Self-Learning Support for High-performance Ontology Population.
Proceedings of the Conference "Lernen, 2016

Sequential Modeling and Structural Anomaly Analytics in Industrial Production Environments.
Proceedings of the Conference "Lernen, 2016

Defining software architectures for big data enabled operator support systems.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Analyzing group interaction and dynamics on socio-behavioral networks of face-to-face proximity.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Sensing, processing and analytics: augmenting the Ubicon platform for anticipatory ubiquitous computing.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

Social event network analysis: Structure, preferences, and reality.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Detecting community patterns capturing exceptional link trails.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Subgroup discovery.
WIREs Data Mining Knowl. Discov., 2015

Adaptive Class Association Rule Mining for Human Activity Recognition.
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), 2015

Subgroup Discovery as a Method for Generating Test Ontologies.
Proceedings of the LWA 2015 Workshops: KDML, 2015

Subgroup and Community Analytics on Attributed Graphs.
Proceedings of the Workshop on Social Network Analysis using Formal Concept Analysis in conjunction with the 13th International Conference on Formal Concept Analysis (ICFCA 2015), 2015

Is Web Content a Good Proxy for Real-Life Interaction?: A Case Study Considering Online and Offline Interactions of Computer Scientists.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
The social distributional hypothesis: a pragmatic proxy for homophily in online social networks.
Soc. Netw. Anal. Min., 2014

Predictability of evolving contacts and triadic closure in human face-to-face proximity networks.
Soc. Netw. Anal. Min., 2014

Ubicon and its applications for ubiquitous social computing.
New Rev. Hypermedia Multim., 2014

Data Mining on Social Interaction Networks.
J. Data Min. Digit. Humanit., 2014

Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity.
CoRR, 2014

Temporal evolution of contacts and communities in networks of face-to-face human interactions.
Sci. China Inf. Sci., 2014

On the predictability of recurring links in networks of face-to-face proximity.
Proceedings of the 23rd International World Wide Web Conference, 2014

On the evolution of social groups during coffee breaks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Formation and Temporal Evolution of Social Groups During Coffee Breaks.
Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

Analyzing and Grounding Social Interaction in Online and Offline Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

On the Predictability of Talk Attendance at Academic Conferences.
Proceedings of the 16th LWA Workshops: KDML, 2014

Unsupervised and Hybrid Approaches for On-line RFID Localization with Mixed Context Knowledge.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Predicting the stability of user interaction ties in Twitter.
Proceedings of the 14th International Conference on Knowledge Management and Data-driven Business, 2014

Connect-U: A System for Enhancing Social Networking.
Proceedings of the Socio-technical Design of Ubiquitous Computing Systems, 2014

Mining Social Links for Ubiquitous Knowledge Engineering.
Proceedings of the Socio-technical Design of Ubiquitous Computing Systems, 2014

2013
Exploratory pattern mining on social media using geo-references and social tagging information.
Int. J. Web Sci., 2013

User-Relatedness and Community Structure in Social Interaction Networks.
CoRR, 2013

How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned.
Proceedings of the Software Engineering 2013 - Workshopband (inkl. Doktorandensymposium), Fachtagung des GI-Fachbereichs Softwaretechnik, 26. Februar, 2013

Exploratory Subgroup Analytics on Ubiquitous Data.
Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013

New Insights and Methods For Predicting Face-To-Face Contacts.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Towards capturing social interactions with SDCF: an extensible framework for mobile sensing and ubiquitous data collection.
Proceedings of the 4th International Workshop on Modeling Social Media, 2013

On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

Semantics of User Interaction in Social Media.
Proceedings of the Complex Networks IV, 2013

How do people link?: analysis of contact structures in human face-to-face proximity networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Visualizing the impact of time series data for predicting user interactions.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Mining social media: key players, sentiments, and communities.
WIREs Data Mining Knowl. Discov., 2012

Hypertext 2012: linking people, data, resources and stories.
SIGWEB Newsl., 2012

Mining Social Media.
Inform. Spektrum, 2012

On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties.
Proceedings of the 2012 International Conference on Privacy, 2012

Mining Complex Event Patterns in Computer Networks.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Generic Pattern Trees for Exhaustive Exceptional Model Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Anatomy of a conference.
Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 2012

Onto collective intelligence in social media: exemplary applications and perspectives.
Proceedings of the 3rd international workshop on Modeling social media, 2012

A Personality Based Design Approach Using Subgroup Discovery.
Proceedings of the Human-Centered Software Engineering - 4th International Conference, 2012

Ubicon: Observing Physical and Social Activities.
Proceedings of the 2012 IEEE International Conference on Green Computing and Communications, 2012

Data Mining, Validation, and Collaborative Knowledge Capture.
Proceedings of the Collaboration and the Semantic Web, 2012

2011
Enhancing Social Interactions at Conferences.
it Inf. Technol., 2011

Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Describing Locations Using Tags and Images: Explorative Pattern Mining in Social Media.
Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Modeling Location-Based Profiles of Social Image Media Using Explorative Pattern Mining.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles.
Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Towards Mining Semantic Maturity in Social Bookmarking Systems.
Proceedings of the 4th International Workshop on Social Data on the Web, 2011

Resource-Aware On-line RFID Localization Using Proximity Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

VIKAMINE - A Rich-Client Environment for Intelligent Pattern Mining and Subgroup Discovery.
Proceedings of the Report of the symposium "Lernen, 2011

Face-to-Face Contacts during LWA 2010 Communities, Roles, and Key Players.
Proceedings of the Report of the symposium "Lernen, 2011

Efficient Descriptive Community Mining.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Analysis of communities in social media.
Proceedings of the 3rd International CIKM Workshop on Search and Mining User-Generated Contents, 2011

2010
EWMA control charts for monitoring binary processes with applications to medical diagnosis data.
Qual. Reliab. Eng. Int., 2010

The Mining and Analysis Continuum of Explaining Uncovered.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Community Assessment Using Evidence Networks.
Proceedings of the Analysis of Social Media and Ubiquitous Data, 2010

Fast Discovery of Relevant Subgroup Patterns.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining.
Proceedings of the Explanation-aware Computing, 2010

2009
A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery.
Proceedings of the Knowledge Discovery Enhanced with Semantic and Social Information, 2009

A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery.
Int. J. Artif. Intell. Tools, 2009

A Framework for Semi-Automatic Development of Rule-based Information Extraction Applications.
Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

Fast and Effective Subgroup Mining for Continuous Target Variables.
Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

Meta-level Information Extraction.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Fast Subgroup Discovery for Continuous Target Concepts.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

A Data Warehouse-Based Approach for Quality Management, Analysis and Evaluation of Intelligent Systems using Subgroup Mining.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

2008
A case-based approach for characterization and analysis of subgroup patterns.
Appl. Intell., 2008

Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology.
Proceedings of the LWA 2008, 2008

Integrating the Rule-Based IE Component TextMarker into UIMA.
Proceedings of the LWA 2008, 2008

Rule-Based Information Extraction for Structured Data Acquisition using TextMarker.
Proceedings of the LWA 2008, 2008

Test-Driven Development of Complex Information Extraction Systems using TextMarker.
Proceedings of the 4th Workshop on Knowledge Engineering and Software Engineering (KESE-2008) at the 31st German Conference on Artificial Intelligence, 2008

A Methodological Approach for the Effective Modeling of Bayesian Networks.
Proceedings of the KI 2008: Advances in Artificial Intelligence, 2008

Semi-Automatic Refinement and Assessment of Subgroup Patterns.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Application and Evaluation of a Medical Knowledge System in Sonography (SONOCONSULT).
Proceedings of the ECAI 2008, 2008

2007
Knowledge-Intensive Subgroup Mining.
Künstliche Intell., 2007

Using Declarative Specifications of Domain Knowledge for Descriptive Data Mining.
Proceedings of the Applications of Declarative Programming and Knowledge Management, 2007

Causal Subgroup Analysis for Detecting Confounding.
Proceedings of the Applications of Declarative Programming and Knowledge Management, 2007

Towards Confounding-Aware Subgroup Discovery.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

Experience Management with Task-Configurations and Task-Patterns for Descriptive Data Mining.
Proceedings of the 3rd Workshop on Knowledge Engineering and Software Engineering (KESE 2007) at the 30th German Conference on Artificial Intelligence (KI-2007), 2007

Rapid knowledge capture using subgroup discovery with incremental refinement.
Proceedings of the 4th International Conference on Knowledge Capture (K-CAP 2007), 2007

Onto Confounding-Aware Subgroup Discovery.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Pattern-Constrained Test Case Generation.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006
Knowledge-intensive subgroup mining: techniques for automatic and interactive discovery.
PhD thesis, 2006

A Datagenerator for Evaluating Machine Learning Methods.
Künstliche Intell., 2006

Semi-automatic learning of simple diagnostic scores utilizing complexity measures.
Artif. Intell. Medicine, 2006

SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Case-Based Characterization and Analysis of Subgroup Patterns.
Proceedings of the LWA 2006: Lernen - Wissensentdeckung - Adaptivität, Hildesheim, Deutschland, October 9th-11th 2006, joint workshop event of several interest groups of the German Society for Informatics (GI) - 14th Workshop on Adaptivity and User Modeling in Interactive Systems (ABIS 2006) - Workshop Information Retrieval 2006 of the Special Interest Group Information Retrieval (FGIR 2006) - Workshop on Knowledge and Experience Management (FGWM 2006), 2006

Conservative and Creative Strategies for the Refinement of Scoring Rules.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

Introspective Subgroup Analysis for Interactive Knowledge Refinement.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

A Methodological View on Knowledge-Intensive Subgroup Discovery.
Proceedings of the Managing Knowledge in a World of Networks, 2006

2005
Semi-Automatic Visual Subgroup Mining using VIKAMINE.
J. Univers. Comput. Sci., 2005

Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult).
Proceedings of the WM 2005: Professional Knowledge Management - Experiences and Visions, Contributions to the 3rd Conference Professional Knowledge Management, 2005

Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement.
Proceedings of the Marktplatz Internet: von E-Learning bis E-Payment, 2005

Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Subgroup Mining for Interactive Knowledge Refinement.
Proceedings of the Artificial Intelligence in Medicine, 2005

2004
Quality Measures and Semi-automatic Mining of Diagnostic Rule Bases.
Proceedings of the Applications of Declarative Programming and Knowledge Management, 2004

Towards Knowledge-Intensive Subgroup Discovery.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

An Intelligent Diagnosis System Handling Multiple Disorders.
Proceedings of the Intelligent Information Processing II, 2004

Case-Based Approaches for Diagnosing Multiple Disorders.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003
Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults.
Proceedings of the WM 2003: Professionelles Wissensmanagement, 2003

Inductive Learning of Simple Diagnostic Scores.
Proceedings of the Medical Data Analysis, 4th International Symposium, 2003

2002
Inductive Learning for Case-Based Diagnosis with Multiple Faults.
Proceedings of the Advances in Case-Based Reasoning, 6th European Conference, 2002


  Loading...