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ORCIDStefan Rüping 0001
Person information
- affiliation: Frauenhofer IAIA, Sankt Augustin, Germany
- affiliation (PhD 2006): TU Dortmund, Germany
- not to be confused with: Stefan Rüping 0002
Other persons with the same name
- Stefan Rüping — disambiguation page
- Stefan Rüping 0002 — TU Dortmund, Germany
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Books and Theses
- 2006
[b1]Stefan Rüping:
Learning interpretable models. Technical University of Dortmund, Germany, 2006, pp. 1-209
Journal Articles
- 2017
- [j11]Clemens Havas
, Bernd Resch, Chiara Francalanci, Barbara Pernici, Gabriele Scalia, Jose Luis Fernandez-Marquez, Tim Van Achte, Gunter Zeug, Maria Rosa (Rosy) Mondardini, Domenico Grandoni, Birgit Kirsch, Milan Kalas, Valerio Lorini, Stefan Rüping:
E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time. Sensors 17(12): 2766 (2017) - [j10]Dirk Hecker, Inga Döbel, Stefan Rüping, Velina Schmitz:
Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie. Wirtschaftsinformatik Manag. 9(5): 26-35 (2017) - 2014
- [j9]Georgia Tsiliki, Sophia Kossida, Natalja Friesen, Stefan Rüping, Manolis Tzagarakis, Nikos I. Karacapilidis:
A Data Mining Based Approach for Collaborative Analysis of Biomedical Data. Int. J. Artif. Intell. Tools 23(4) (2014) - [j8]Georgios S. Stamatakos, Dimitra D. Dionysiou, Aran Lunzer, Robert G. Belleman, Eleni A. Kolokotroni, Eleni Ch. Georgiadi, Marius Erdt, Juliusz Pukacki, Stefan Rüping, Stavroula G. Giatili, Alberto d'Onofrio, Stelios Sfakianakis, Kostas Marias, Christine Desmedt, Manolis Tsiknakis, Norbert M. Graf:
The Technologically Integrated Oncosimulator: Combining Multiscale Cancer Modeling With Information Technology in the In Silico Oncology Context. IEEE J. Biomed. Health Informatics 18(3): 840-854 (2014) - 2013
- [j7]Dennis Wegener, Simona Rossi, Francesca Buffa, Mauro Delorenzi, Stefan Rüping:
Towards an environment for data mining based analysis processes in bioinformatics and personalized medicine. Netw. Model. Anal. Health Informatics Bioinform. 2(1): 29-44 (2013) - 2011
- [j6]Dennis Wegener, Stefan Rüping:
Integration and reuse of data mining in business processes - a pattern-based approach. Int. J. Bus. Process. Integr. Manag. 5(3): 218-228 (2011) - [j5]Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping:
Secure Distributed Subgroup Discovery in Horizontally Partitioned Data. Trans. Data Priv. 4(3): 147-165 (2011) - 2010
- [j4]Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping:
Privacy-Preserving Data-Mining. Inform. Spektrum 33(4): 380-383 (2010) - 2009
- [j3]Henrik Grosskreutz, Stefan Rüping:
On subgroup discovery in numerical domains. Data Min. Knowl. Discov. 19(2): 210-226 (2009) - [j2]Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping, Anthony Assi:
GridR: An R-based tool for scientific data analysis in grid environments. Future Gener. Comput. Syst. 25(4): 481-488 (2009) - 2008
- [j1]Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz:
Procurement Fraud Discovery using Similarity Measure Learning. Trans. Case Based Reason. 1(1): 37-46 (2008)
Conference and Workshop Papers
- 2022
- [c40]Katharina Beckh, Sebastian Müller, Stefan Rüping:
A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning. LWDA 2022: 13-20 - 2020
- [c39]Birgit Kirsch, Sven Giesselbach, Timothée Schmude, Malte Völkening, Frauke Rostalski, Stefan Rüping:
Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain. LWDA 2020: 76-87 - 2019
- [c38]Birgit Kirsch, Zamira Niyazova, Michael Mock, Stefan Rüping:
Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic. PKDD/ECML Workshops (2) 2019: 63-78 - [c37]Vishwani Gupta, Sven Giesselbach, Stefan Rüping, Christian Bauckhage:
Improving Word Embeddings Using Kernel PCA. RepL4NLP@ACL 2019: 200-208 - 2014
- [c36]Haridimos Kondylakis, Lefteris Koumakis, Stefan Rüping, Eleni Kazantzaki, Kostas Marias, Manolis Tsiknakis:
PMIR: A Personal Medical Information Recommender. MIE 2014: 1193 - 2013
- [c35]Stefan Rüping, Alberto Anguita, Anca I. D. Bucur, Traian Cristian Cirstea, Björn Jacobs, Antje Torge:
Improving the implementation of clinical decision support systems. EMBC 2013: 3214-3217 - 2012
- [c34]Nikos I. Karacapilidis, Lydia Lau, Charlotte Lee, Stefan Rüping:
Mastering data-intensive collaboration through the synergy of human and machine reasoning. CSCW (Companion) 2012: 21-22 - [c33]Nikos I. Karacapilidis, Stefan Rüping, Georgia Tsiliki, Manolis Tzagarakis:
Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment. DATA 2012: 141-146 - [c32]Georgia Tsiliki, Sophia Kossida, Natalja Friesen, Stefan Rüping, Manolis Tzagarakis, Nikos I. Karacapilidis:
Data Mining Based Collaborative Analysis of Microarray Data. ICTAI 2012: 682-689 - [c31]Henrik Großkreutz, Daniel Paurat, Stefan Rüping:
An enhanced relevance criterion for more concise supervised pattern discovery. KDD 2012: 1442-1450 - 2011
- [c30]Luis Martín, Alberto Anguita, Norbert M. Graf, Manolis Tsiknakis, Mathias Brochhausen, Stefan Rüping, Anca I. D. Bucur, Stelios Sfakianakis, Thierry Sengstag, Francesca Buffa, Holger Stenzhorn:
ACGT: Advancing Clinico-genomic trials on cancer - Four years of experience. MIE 2011: 734-738 - [c29]Anca I. D. Bucur, Stefan Rüping, Thierry Sengstag, Stelios Sfakianakis, Manolis Tsiknakis, Dennis Wegener:
The ACGT project in retrospect: Lessons learned and future outlook. ICCS 2011: 1119-1128 - 2010
- [c28]Dennis Wegener, Stefan Rüping:
On Integrating Data Mining into Business Processes. BIS 2010: 183-194 - [c27]Dennis Wegener, Stefan Rüping:
On Reusing Data Mining in Business Processes - A Pattern-Based Approach. Business Process Management Workshops 2010: 264-276 - [c26]Stefan Rüping:
SVM Classifier Estimation from Group Probabilities. ICML 2010: 911-918 - [c25]Natalja Friesen, Stefan Rüping:
Workflow Analysis using Graph Kernels. LWA 2010: 59-66 - [c24]Stefan Rüping:
SVM Classifier Estimation from Group Probabilities. LWA 2010: 129-135 - [c23]Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping:
Secure Top-k Subgroup Discovery. PSDML 2010: 36-49 - 2009
- [c22]Shivani Seth, Stefan Rüping, Stefan Wrobel:
Metadata Extraction using Text Mining. HealthGrid 2009: 95-104 - [c21]Stefan Rüping, Dennis Wegener, Stelios Sfakianakis, Thierry Sengstag:
Workflows for Intelligent Monitoring using Proxy Services. HealthGrid 2009: 277-282 - [c20]Stefan Rüping:
Ranking interesting subgroups. ICML 2009: 913-920 - [c19]Stelios Sfakianakis, Norbert M. Graf, Alexander Hoppe, Stefan Rüping, Dennis Wegener, Lefteris Koumakis, George Zacharioudakis:
Building a System for Advancing Clinico-Genomic Trials on Cancer. AIAI Workshops 2009: 36-47 - [c18]Henrik Grosskreutz, Stefan Rüping:
On Subgroup Discovery in Numerical Domains. ECML/PKDD (1) 2009: 30 - 2008
- [c17]Manolis Tsiknakis, Stelios Sfakianakis, Stefan Rüping, Oswaldo Trelles, Thierry Siestang, Brecht Claerhout, Vassilis Virvilis:
A Semantic Grid Services Architecture in Support of Efficient Knowledge Discovery from Multilevel Clinical and Genomic Datasets. HEALTHINF (1) 2008: 279-287 - [c16]Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz:
Procurement Fraud Discovery using Similarity Measure Learning. ICDM (Posters and Workshops) 2008: 55-64 - [c15]Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping:
Supporting Parallel R Code in Clinical Trials: A Grid-Based Approach. ISPA 2008: 823-828 - [c14]Natalja Punko, Stefan Rüping, Stefan Wrobel:
Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. LWA 2008: 84-86 - [c13]Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel:
Tight Optimistic Estimates for Fast Subgroup Discovery. ECML/PKDD (1) 2008: 440-456 - 2007
- [c12]Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping, Anthony Assi:
GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials. eScience 2007: 228-235 - [c11]Stefan Rüping, Stelios Sfakianakis, Manolis Tsiknakis:
Extending Workflow Management for Knowledge Discovery in Clinico-Genomic Data. HealthGrid 2007: 184-193 - [c10]George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Stelios Sfakianakis, Anastasia Analyti, Vassilis Moustakis, Dimitris Kafetzopoulos, Stefan Rüping, Manolis Tsiknakis:
Knowledge Discovery Scientific Workflows in Clinico-Genomics. ICTAI (1) 2007: 91-95 - 2006
- [c9]Stefan Rüping:
Robust Probabilistic Calibration. ECML 2006: 743-750 - [c8]Michael May, George Potamias, Stefan Rüping:
Grid-Based Knowledge Discovery in Clinico-Genomic Data. ISBMDA 2006: 219-230 - 2004
- [c7]Stefan Rüping:
Learning with Local Models. Local Pattern Detection 2004: 153-170 - [c6]Stefan Rüping:
A Simple Method For Estimating Conditional Probabilities For SVMs. LWA 2004: 206-210 - 2003
- [c5]Stefan Rüping, Katharina Morik:
Support vector machines and learning about time. ICASSP (4) 2003: 864-867 - 2002
- [c4]Katharina Morik, Stefan Rüping:
A Multistrategy Approach to the Classification of Phases in Business Cycles. ECML 2002: 307-318 - [c3]Stefan Rüping:
Support Vector Machines in Relational Databases. GI Jahrestagung 2002: 799-804 - [c2]Stefan Rüping:
Support Vector Machines in Relational Databases. SVM 2002: 310-320 - 2001
- [c1]Stefan Rüping:
Incremental Learning with Support Vector Machines. ICDM 2001: 641-642
Parts in Books or Collections
- 2020
- [p4]Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß, Stefan Rüping:
Grundlagen des Maschinellen Lernens. Handbuch der Künstlichen Intelligenz 2020: 429-508 - [p3]Gennady L. Andrienko, Natalia V. Andrienko, Georg Fuchs, Stefan Rüping, Jose Manuel Cordero Garcia, David Scarlatti, George A. Vouros, Ricardo Herranz, Rodrigo Marcos:
Visual Analytics in the Aviation and Maritime Domains. Big Data Analytics for Time-Critical Mobility Forecasting 2020: 59-84 - 2019
- [p2]Ziawasch Abedjan, Nozha Boujemaa, Stuart Campbell, Patricia Casla, Supriyo Chatterjea, Sergio Consoli, Cristóbal Costa Soria, Paul Czech, Marija Despenic, Chiara Garattini, Dirk Hamelinck, Adrienne Heinrich, Wessel Kraaij, Jacek Kustra, Aizea Lojo, Marga Martin Sanchez, Miguel Angel Mayer, Matteo Melideo, Ernestina Menasalvas, Frank Møller Aarestrup, Elvira Narro Artigot, Milan Petkovic, Diego Reforgiato Recupero, Alejandro Rodríguez González, Gisele Roesems Kerremans, Roland Roller, Mário Romão, Stefan Rüping, Felix Sasaki, Wouter Spek, Nenad Stojanovic, Jack Thoms, Andrejs Vasiljevs, Wilfried Verachtert, Roel Wuyts:
Data Science in Healthcare: Benefits, Challenges and Opportunities. Data Science for Healthcare 2019: 3-38 - 2003
- [p1]Ralf Klinkenberg, Stefan Rüping:
Concept Drift and the Importance of Example. Text Mining 2003: 55-78
Informal and Other Publications
- 2021
- [i5]Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz:
Approaching Neural Network Uncertainty Realism. CoRR abs/2101.02974 (2021) - [i4]Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle:
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR abs/2104.14235 (2021) - 2020
- [i3]Annika Pick, Sebastian Ginzel, Stefan Rüping, Jil Sander, Ann Christina Foldenauer, Michaela Köhm:
Aligning Subjective Ratings in Clinical Decision Making. CoRR abs/2009.06403 (2020) - 2018
- [i2]Linara Adilova, Sven Giesselbach, Stefan Rüping:
Making Efficient Use of a Domain Expert's Time in Relation Extraction. CoRR abs/1807.04687 (2018) - 2010
- [i1]Nikos I. Karacapilidis, Stefan Rüping, Isabel Drost:
Mastering Data-Intensive Collaboration and Decision Making through a Cloud Infrastructure. ERCIM News 2010(83): 49 (2010)
Coauthor Index
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