Stefan Rüping

According to our database1, Stefan Rüping authored at least 57 papers between 1993 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Making Efficient Use of a Domain Expert's Time in Relation Extraction.
CoRR, 2018

2017
Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie.
Wirtschaftsinformatik & Management, 2017

E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time.
Sensors, 2017

2014
The Technologically Integrated Oncosimulator: Combining Multiscale Cancer Modeling With Information Technology in the In Silico Oncology Context.
IEEE J. Biomedical and Health Informatics, 2014

A Data Mining Based Approach for Collaborative Analysis of Biomedical Data.
International Journal on Artificial Intelligence Tools, 2014

PMIR: A Personal Medical Information Recommender.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

2013
Towards an environment for data mining based analysis processes in bioinformatics and personalized medicine.
NetMAHIB, 2013

Improving the implementation of clinical decision support systems.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
An enhanced relevance criterion for more concise supervised pattern discovery.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Data Mining Based Collaborative Analysis of Microarray Data.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment.
Proceedings of the DATA 2012, 2012

Mastering data-intensive collaboration through the synergy of human and machine reasoning.
Proceedings of the CSCW '12 Computer Supported Cooperative Work, Seattle, WA, USA, February 11-15, 2012, 2012

2011
Secure Distributed Subgroup Discovery in Horizontally Partitioned Data.
Trans. Data Privacy, 2011

The ACGT project in retrospect: Lessons learned and future outlook.
Proceedings of the International Conference on Computational Science, 2011

Integration and reuse of data mining in business processes - a pattern-based approach.
IJBPIM, 2011

ACGT: Advancing Clinico-genomic trials on cancer - Four years of experience.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

2010
Privacy-Preserving Data-Mining.
Informatik Spektrum, 2010

Mastering Data-Intensive Collaboration and Decision Making through a Cloud Infrastructure.
ERCIM News, 2010

Secure Top-k Subgroup Discovery.
Proceedings of the Privacy and Security Issues in Data Mining and Machine Learning, 2010

SVM Classifier Estimation from Group Probabilities.
Proceedings of the LWA 2010, 2010

Workflow Analysis using Graph Kernels.
Proceedings of the LWA 2010, 2010

SVM Classifier Estimation from Group Probabilities.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

On Reusing Data Mining in Business Processes - A Pattern-Based Approach.
Proceedings of the Business Process Management Workshops, 2010

On Integrating Data Mining into Business Processes.
Proceedings of the Business Information Systems, 13th International Conference, 2010

2009
GridR: An R-based tool for scientific data analysis in grid environments.
Future Generation Comp. Syst., 2009

On subgroup discovery in numerical domains.
Data Min. Knowl. Discov., 2009

On Subgroup Discovery in Numerical Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Building a System for Advancing Clinico-Genomic Trials on Cancer.
Proceedings of the Workshops of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI-2009), 2009

Ranking interesting subgroups.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Metadata Extraction using Text Mining.
Proceedings of the Healthgrid Research, Innovation and Business Case - Proceedings of HealthGrid 2009, Berlin, Germany, 29 June, 2009

Workflows for Intelligent Monitoring using Proxy Services.
Proceedings of the Healthgrid Research, Innovation and Business Case - Proceedings of HealthGrid 2009, Berlin, Germany, 29 June, 2009

2008
Procurement Fraud Discovery using Similarity Measure Learning.
Tran. CBR, 2008

Tight Optimistic Estimates for Fast Subgroup Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes.
Proceedings of the LWA 2008, 2008

Benchmarking Domain Specific Processors: A Case Study of Evaluating a Smart Card Processor Design.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2008

Supporting Parallel R Code in Clinical Trials: A Grid-Based Approach.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008

Procurement Fraud Discovery using Similarity Measure Learning.
Proceedings of the Advances in Data Mining. 8th Industrial Conference, 2008

A Semantic Grid Services Architecture in Support of Efficient Knowledge Discovery from Multilevel Clinical and Genomic Datasets.
Proceedings of the First International Conference on Health Informatics, 2008

2007
Knowledge Discovery Scientific Workflows in Clinico-Genomics.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Extending Workflow Management for Knowledge Discovery in Clinico-Genomic Data.
Proceedings of the From Genes to Personalized HealthCare: Grid Solutions for the Life Sciences, 2007

GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials.
Proceedings of the Third International Conference on e-Science and Grid Computing, 2007

2006
Learning interpretable models.
PhD thesis, 2006

Grid-Based Knowledge Discovery in Clinico-Genomic Data.
Proceedings of the Biological and Medical Data Analysis, 7th International Symposium, 2006

Robust Probabilistic Calibration.
Proceedings of the Machine Learning: ECML 2006, 2006

2004
A Simple Method For Estimating Conditional Probabilities For SVMs.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Learning with Local Models.
Proceedings of the Local Pattern Detection, 2004

2003
Support vector machines and learning about time.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Concept Drift and the Importance of Example.
Text Mining, 2003

2002
Support Vector Machines in Relational Databases.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Support Vector Machines in Relational Databases.
Proceedings of the Informatik bewegt: Informatik 2002 - 32. Jahrestagung der Gesellschaft für Informatik e.v. (GI), 30. September, 2002

A Multistrategy Approach to the Classification of Phases in Business Cycles.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Incremental Learning with Support Vector Machines.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

1998
SOM accelerator system.
Neurocomputing, 1998

1997
A High Performance SOFM Hardware-System.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1995
VLSI-gerechte Umsetzung von selbstorganisierenden Karten und ihre Einbindung in ein Neuro-Fuzzy-Analysesystem.
PhD thesis, 1995

Neural networks-extraordinary variation.
IEEE Micro, 1995

1993
Hardware Design for Self-Organizing Feature Maps with Binary Input Vectors.
Proceedings of the New Trends in Neural Computation, 1993


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