Stefan Rüping

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 9

Top Venues

CoRR

LWDA

Wirtschaftsinformatik Manag.

MIE

Technical University of Dortmund, Germany (PHD)

Education History

Technical University of Dortmund, Germany

PHD

Publications

Katharina Beckh, Sebastian Müller, Stefan Rüping
A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning. LWDA (2022)
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 (2021)
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)
Annika Pick, Sebastian Ginzel, Stefan Rüping, Jil Sander, Ann Christina Foldenauer, Michaela Köhm
Aligning Subjective Ratings in Clinical Decision Making. CoRR (2020)
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)
Vishwani Gupta, Sven Giesselbach, Stefan Rüping, Christian Bauckhage
Improving Word Embeddings Using Kernel PCA. RepL4NLP@ACL (2019)
Linara Adilova, Sven Giesselbach, Stefan Rüping
Making Efficient Use of a Domain Expert's Time in Relation Extraction. CoRR (2018)
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) (2017)
Dirk Hecker, Inga Döbel, Stefan Rüping, Velina Schmitz
Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie. Wirtschaftsinformatik Manag. 9 (5) (2017)
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)
Haridimos Kondylakis, Lefteris Koumakis, Stefan Rüping, Eleni Kazantzaki, Kostas Marias, Manolis Tsiknakis
PMIR: A Personal Medical Information Recommender. MIE (2014)
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) (2014)
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)
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) (2013)
Nikos I. Karacapilidis, Lydia Lau, Charlotte Lee, Stefan Rüping
Mastering data-intensive collaboration through the synergy of human and machine reasoning. CSCW (Companion) (2012)
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)
Henrik Großkreutz, Daniel Paurat, Stefan Rüping
An enhanced relevance criterion for more concise supervised pattern discovery. KDD (2012)
Georgia Tsiliki, Sophia Kossida, Natalja Friesen, Stefan Rüping, Manolis Tzagarakis, Nikos I. Karacapilidis
Data Mining Based Collaborative Analysis of Microarray Data. ICTAI (2012)
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)
Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping
Secure Distributed Subgroup Discovery in Horizontally Partitioned Data. Trans. Data Priv. 4 (3) (2011)
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) (2011)
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)
Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping
Secure Top-k Subgroup Discovery. PSDML (2010)
Stefan Rüping
SVM Classifier Estimation from Group Probabilities. LWA (2010)
Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping
Privacy-Preserving Data-Mining. Inform. Spektrum 33 (4) (2010)
Dennis Wegener, Stefan Rüping
On Reusing Data Mining in Business Processes - A Pattern-Based Approach. Business Process Management Workshops (2010)
Stefan Rüping
SVM Classifier Estimation from Group Probabilities. ICML (2010)
Nikos I. Karacapilidis, Stefan Rüping, Isabel Drost
Mastering Data-Intensive Collaboration and Decision Making through a Cloud Infrastructure. ERCIM News 2010 (83) (2010)
Dennis Wegener, Stefan Rüping
On Integrating Data Mining into Business Processes. BIS (2010)
Natalja Friesen, Stefan Rüping
Workflow Analysis using Graph Kernels. LWA (2010)
Henrik Grosskreutz, Stefan Rüping
On subgroup discovery in numerical domains. Data Min. Knowl. Discov. 19 (2) (2009)
Stefan Rüping
Ranking interesting subgroups. ICML (2009)
Shivani Seth, Stefan Rüping, Stefan Wrobel
Metadata Extraction using Text Mining. HealthGrid (2009)
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) (2009)
Henrik Grosskreutz, Stefan Rüping
On Subgroup Discovery in Numerical Domains. ECML/PKDD (1) (2009)
Stefan Rüping, Dennis Wegener, Stelios Sfakianakis, Thierry Sengstag
Workflows for Intelligent Monitoring using Proxy Services. HealthGrid (2009)
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)
Natalja Punko, Stefan Rüping, Stefan Wrobel
Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. LWA (2008)
Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz
Procurement Fraud Discovery using Similarity Measure Learning. ICDM (Posters and Workshops) (2008)
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)
Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping
Supporting Parallel R Code in Clinical Trials: A Grid-Based Approach. ISPA (2008)
Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz
Procurement Fraud Discovery using Similarity Measure Learning. Trans. Case Based Reason. 1 (1) (2008)
Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel
Tight Optimistic Estimates for Fast Subgroup Discovery. ECML/PKDD (1) (2008)
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)
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)
Stefan Rüping, Stelios Sfakianakis, Manolis Tsiknakis
Extending Workflow Management for Knowledge Discovery in Clinico-Genomic Data. HealthGrid (2007)
Michael May, George Potamias, Stefan Rüping
Grid-Based Knowledge Discovery in Clinico-Genomic Data. ISBMDA (2006)
Stefan Rüping
Robust Probabilistic Calibration. ECML (2006)
Stefan Rüping
A Simple Method For Estimating Conditional Probabilities For SVMs. LWA (2004)
Stefan Rüping
Learning with Local Models. Local Pattern Detection (2004)
Stefan Rüping, Katharina Morik
Support vector machines and learning about time. ICASSP (4) (2003)
Stefan Rüping
Support Vector Machines in Relational Databases. GI Jahrestagung (2002)
Katharina Morik, Stefan Rüping
A Multistrategy Approach to the Classification of Phases in Business Cycles. ECML (2002)
Stefan Rüping
Support Vector Machines in Relational Databases. SVM (2002)
Stefan Rüping
Incremental Learning with Support Vector Machines. ICDM (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefan Rüping