Incremental Learning with Support Vector Machines. - Stefan Rüping 001 (ICDM, 2001)

A Multistrategy Approach to the Classification of Phases in Business Cycles. - Katharina Morik; Stefan Rüping 001 (ECML, 2002)

Support Vector Machines in Relational Databases. - Stefan Rüping 001 (SVM, 2002)

Concept Drift and the Importance of Example. - Ralf Klinkenberg; Stefan Rüping 001 (Text Mining, 2003)

Support vector machines and learning about time. - Stefan Rüping 001; Katharina Morik (ICASSP (4), 2003)

Learning with Local Models. - Stefan Rüping 001 (Local Pattern Detection, 2004)

A Simple Method For Estimating Conditional Probabilities For SVMs. - Stefan Rüping 001 (LWA, 2004)

Robust Probabilistic Calibration. - Stefan Rüping 001 (ECML, 2006)

Grid-Based Knowledge Discovery in Clinico-Genomic Data. - Michael May 001; George Potamias; Stefan Rüping 001 (ISBMDA, 2006)

Learning interpretable models. - Stefan Rüping 001 (2006)

GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials. - Dennis Wegener; Thierry Sengstag; Stelios Sfakianakis; Stefan Rüping 001; Anthony Assi (eScience, 2007)

Extending Workflow Management for Knowledge Discovery in Clinico-Genomic Data. - Stefan Rüping 001; Stelios Sfakianakis; Manolis Tsiknakis (HealthGrid, 2007)

Knowledge Discovery Scientific Workflows in Clinico-Genomics. - George Potamias; Lefteris Koumakis; Alexandros Kanterakis; Stelios Sfakianakis; Anastasia Analyti; Vassilis Moustakis; Dimitris Kafetzopoulos; Stefan Rüping 001; Manolis Tsiknakis (ICTAI (1), 2007)

A Semantic Grid Services Architecture in Support of Efficient Knowledge Discovery from Multilevel Clinical and Genomic Datasets. - Manolis Tsiknakis; Stelios Sfakianakis; Stefan Rüping 001; Oswaldo Trelles; Thierry Siestang; Brecht Claerhout; Vassilis Virvilis (HEALTHINF (1), 2008)

Supporting Parallel R Code in Clinical Trials: A Grid-Based Approach. - Dennis Wegener; Thierry Sengstag; Stelios Sfakianakis; Stefan Rüping 001 (ISPA, 2008)

Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. - Natalja Punko; Stefan Rüping 001; Stefan Wrobel (LWA, 2008)

Tight Optimistic Estimates for Fast Subgroup Discovery. - Henrik Grosskreutz; Stefan Rüping 001; Stefan Wrobel (ECML/PKDD (1), 2008)

Procurement Fraud Discovery using Similarity Measure Learning. - Stefan Rüping 001; Natalja Punko; Björn Günter; Henrik Grosskreutz (Trans. Case Based Reason., 2008)

Workflows for Intelligent Monitoring using Proxy Services. - Stefan Rüping 001; Dennis Wegener; Stelios Sfakianakis; Thierry Sengstag (HealthGrid, 2009)

Metadata Extraction using Text Mining. - Shivani Seth; Stefan Rüping 001; Stefan Wrobel (HealthGrid, 2009)

Ranking interesting subgroups. - Stefan Rüping 001 (ICML, 2009)

Building a System for Advancing Clinico-Genomic Trials on Cancer. - Stelios Sfakianakis; Norbert M. Graf; Alexander Hoppe; Stefan Rüping 001; Dennis Wegener; Lefteris Koumakis; George Zacharioudakis (AIAI (Workshops), 2009)

On subgroup discovery in numerical domains. - Henrik Grosskreutz; Stefan Rüping 001 (Data Min. Knowl. Discov., 2009)

GridR: An R-based tool for scientific data analysis in grid environments. - Dennis Wegener; Thierry Sengstag; Stelios Sfakianakis; Stefan Rüping 001; Anthony Assi (Future Gener. Comput. Syst., 2009)

On Integrating Data Mining into Business Processes. - Dennis Wegener; Stefan Rüping 001 (BIS, 2010)

On Reusing Data Mining in Business Processes - A Pattern-Based Approach. - Dennis Wegener; Stefan Rüping 001 (Business Process Management Workshops, 2010)

SVM Classifier Estimation from Group Probabilities. - Stefan Rüping 001 (ICML, 2010)

Workflow Analysis using Graph Kernels. - Natalja Friesen; Stefan Rüping 001 (LWA, 2010)

Secure Top-k Subgroup Discovery. - Henrik Grosskreutz; Benedikt Lemmen; Stefan Rüping 001 (PSDML, 2010)

Mastering Data-Intensive Collaboration and Decision Making through a Cloud Infrastructure. - Nikos I. Karacapilidis; Stefan Rüping 001; Isabel Drost (ERCIM News, 2010)

Privacy-Preserving Data-Mining. - Henrik Grosskreutz; Benedikt Lemmen; Stefan Rüping 001 (Inform. Spektrum, 2010)

ACGT: Advancing Clinico-genomic trials on cancer - Four years of experience. - Luis Martín; Alberto Anguita; Norbert M. Graf; Manolis Tsiknakis; Mathias Brochhausen; Stefan Rüping 001; Anca I. D. Bucur; Stelios Sfakianakis; Thierry Sengstag; Francesca Buffa; Holger Stenzhorn (MIE, 2011)

Integration and reuse of data mining in business processes - a pattern-based approach. - Dennis Wegener; Stefan Rüping 001 (Int. J. Bus. Process. Integr. Manag., 2011)

The ACGT project in retrospect: Lessons learned and future outlook. - Anca I. D. Bucur; Stefan Rüping 001; Thierry Sengstag; Stelios Sfakianakis; Manolis Tsiknakis; Dennis Wegener (ICCS, 2011)

Secure Distributed Subgroup Discovery in Horizontally Partitioned Data. - Henrik Grosskreutz; Benedikt Lemmen; Stefan Rüping 001 (Trans. Data Priv., 2011)

Mastering data-intensive collaboration through the synergy of human and machine reasoning. - Nikos I. Karacapilidis; Lydia Lau; Charlotte P. Lee; Stefan Rüping 001 (CSCW (Companion), 2012)

Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment. - Nikos I. Karacapilidis; Stefan Rüping 001; Georgia Tsiliki; Manolis Tzagarakis (DATA, 2012)

Data Mining Based Collaborative Analysis of Microarray Data. - Georgia Tsiliki; Sophia Kossida; Natalja Friesen; Stefan Rüping 001; Manolis Tzagarakis; Nikos I. Karacapilidis (ICTAI, 2012)

An enhanced relevance criterion for more concise supervised pattern discovery. - Henrik Großkreutz; Daniel Paurat; Stefan Rüping 001 (KDD, 2012)

Improving the implementation of clinical decision support systems. - Stefan Rüping 001; Alberto Anguita; Anca I. D. Bucur; Traian Cristian Cirstea; Björn Jacobs; Antje Torge (EMBC, 2013)

Towards an environment for data mining based analysis processes in bioinformatics and personalized medicine. - Dennis Wegener; Simona Rossi; Francesca Buffa; Mauro Delorenzi; Stefan Rüping 001 (Netw. Model. Anal. Health Informatics Bioinform., 2013)

PMIR: A Personal Medical Information Recommender. - Haridimos Kondylakis; Lefteris Koumakis; Stefan Rüping 001; Eleni Kazantzaki; Kostas Marias; Manolis Tsiknakis (MIE, 2014)

A Data Mining Based Approach for Collaborative Analysis of Biomedical Data. - Georgia Tsiliki; Sophia Kossida; Natalja Friesen; Stefan Rüping 001; Manolis Tzagarakis; Nikos I. Karacapilidis (Int. J. Artif. Intell. Tools, 2014)

The Technologically Integrated Oncosimulator: Combining Multiscale Cancer Modeling With Information Technology in the In Silico Oncology Context. - Georgios S. Stamatakos; Dimitra D. Dionysiou; Aran Lunzer; Robert G. Belleman; Eleni A. Kolokotroni; Eleni Ch. Georgiadi; Marius Erdt; Juliusz Pukacki; Stefan Rüping 001; Stavroula G. Giatili; Alberto d'Onofrio; Stelios Sfakianakis; et al. (IEEE J. Biomed. Health Informatics, 2014)

E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time. - 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; et al. (Sensors, 2017)

Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie. - Dirk Hecker; Inga Döbel; Stefan Rüping 001; Velina Schmitz (Wirtschaftsinformatik Manag., 2017)

Making Efficient Use of a Domain Expert's Time in Relation Extraction. - Linara Adilova; Sven Giesselbach; Stefan Rüping 001 (CoRR, 2018)

Data Science in Healthcare: Benefits, Challenges and Opportunities. - Ziawasch Abedjan; Nozha Boujemaa; Stuart Campbell 002; Patricia Casla; Supriyo Chatterjea; Sergio Consoli; Cristóbal Costa Soria; Paul Czech; Marija Despenic; Chiara Garattini; Dirk Hamelinck; Adrienne Heinrich; et al. (Data Science for Healthcare, 2019)

Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic. - Birgit Kirsch; Zamira Niyazova; Michael Mock; Stefan Rüping 001 (PKDD/ECML Workshops (2), 2019)

Improving Word Embeddings Using Kernel PCA. - Vishwani Gupta; Sven Giesselbach; Stefan Rüping 001; Christian Bauckhage (RepL4NLP@ACL, 2019)

Grundlagen des Maschinellen Lernens. - Christian Bauckhage; Wolfgang Hübner 001; Ronny Hug; Gerhard Paaß; Stefan Rüping 001 (Handbuch der Künstlichen Intelligenz, 2020)

Visual Analytics in the Aviation and Maritime Domains. - Gennady L. Andrienko; Natalia V. Andrienko; Georg Fuchs; Stefan Rüping 001; Jose Manuel Cordero Garcia; David Scarlatti; George A. Vouros; Ricardo Herranz; Rodrigo Marcos (Big Data Analytics for Time-Critical Mobility Forecasting, 2020)

Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain. - Birgit Kirsch; Sven Giesselbach; Timothée Schmude; Malte Völkening; Frauke Rostalski; Stefan Rüping 001 (LWDA, 2020)

Aligning Subjective Ratings in Clinical Decision Making. - Annika Pick; Sebastian Ginzel; Stefan Rüping 001; Jil Sander; Ann Christina Foldenauer; Michaela Köhm (CoRR, 2020)

Approaching Neural Network Uncertainty Realism. - Joachim Sicking; Alexander Kister; Matthias Fahrland; Stefan Eickeler; Fabian Hüger; Stefan Rüping 001; Peter Schlicht; Tim Wirtz (CoRR, 2021)

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. - 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; et al. (CoRR, 2021)

A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning. - Katharina Beckh; Sebastian Müller; Stefan Rüping 001 (LWDA, 2022)

SKIE-SRL: Structured Key Information Extraction from Business Documents Using Statistical Relational Learning. - Birgit Kirsch; Xiang Yu; Nilesh Chakraborty; Niclas Doll; Sven Giesselbach; Stefan Rüping 001 (LOD (2), 2024)

Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. - Assaf Landschaft; Dario Antweiler; Sina Mackay; Sabine Kugler; Stefan Rüping 001; Stefan Wrobel; Timm Höres; Héctor Allende-Cid (Int. J. Medical Informatics, 2024)

The Anatomy of Evidence: An Investigation Into Explainable ICD Coding. - Katharina Beckh; Elisa Studeny; Sujan Sai Gannamaneni; Dario Antweiler; Stefan Rüping 001 (ACL (Findings), 2025)

PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction. - Birgit Kirsch; Héctor Allende-Cid; Stefan Rüping 001 (ACL (Findings), 2025)

A systematic review of long document summarization methods: Evaluation metrics and approaches. - Bady Gana; Héctor Allende-Cid; Stefan Rüping 001; Marcelo Becerra-Rozas; Juan Zamora (Neurocomputing, 2025)

Addressing a New Paradigm Shift in Data Science: An Empirical Study on Novel Project Characteristics for Foundation Model Projects. - Sven Giesselbach; Dennis Wegener; Lennard Helmer; Claudio Martens; Stefan Rüping 001 (IEEE Softw., 2025)