Stefan Rüping

70 papers A* 4B 1C 3Misc 1Journal 21Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	Graph Pattern Mining for Anomalous Business Partnerships. ICPRAM Moritz Luecke, Héctor Allende-Cid, Stefan Rüping
2025	J	`jnl`	A systematic review of long document summarization methods: Evaluation metrics and approaches. Neurocomputing Bady Gana, Héctor Allende-Cid, Stefan Rüping, Marcelo Becerra-Rozas, Juan Zamora
2025	J	`jnl`	Addressing a New Paradigm Shift in Data Science: An Empirical Study on Novel Project Characteristics for Foundation Model Projects. IEEE Softw. Sven Giesselbach, Dennis Wegener, Lennard Helmer, Claudio Martens, Stefan Rüping
2025	—	`conf`	PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction. ACL (Findings) Birgit Kirsch, Héctor Allende-Cid, Stefan Rüping
2025	—	`conf`	The Anatomy of Evidence: An Investigation Into Explainable ICD Coding. ACL (Findings) Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler, Stefan Rüping
2025	J	`jnl`	The Anatomy of Evidence: An Investigation Into Explainable ICD Coding. CoRR Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler, Stefan Rüping
2025	J	`jnl`	When Sufficient is not Enough: Utilizing the Rashomon Effect for Complete Evidence Extraction. CoRR Katharina Beckh, Stefan Rüping
2024	J	`jnl`	Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. Int. J. Medical Informatics Assaf Landschaft, Dario Antweiler, Sina Mackay, Sabine Kugler, Stefan Rüping, Stefan Wrobel, Timm Höres, Héctor Allende-Cid
2024	—	`conf`	SKIE-SRL: Structured Key Information Extraction from Business Documents Using Statistical Relational Learning. LOD (2) Birgit Kirsch, Xiang Yu, Nilesh Chakraborty, Niclas Doll, Sven Giesselbach, Stefan Rüping
2022	—	`conf`	A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning. LWDA Katharina Beckh, Sebastian Müller, Stefan Rüping
2021	J	`jnl`	Approaching Neural Network Uncertainty Realism. CoRR Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz
2021	J	`jnl`	Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR 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
2020	J	`jnl`	Aligning Subjective Ratings in Clinical Decision Making. CoRR Annika Pick, Sebastian Ginzel, Stefan Rüping, Jil Sander, Ann Christina Foldenauer, Michaela Köhm
2020	—	`ch.`	Grundlagen des Maschinellen Lernens. Handbuch der Künstlichen Intelligenz Christian Bauckhage, Wolfgang Hübner, Ronny Hug, Gerhard Paaß, Stefan Rüping
2020	—	`conf`	Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain. LWDA Birgit Kirsch, Sven Giesselbach, Timothée Schmude, Malte Völkening, Frauke Rostalski, Stefan Rüping
2020	—	`ch.`	Visual Analytics in the Aviation and Maritime Domains. Big Data Analytics for Time-Critical Mobility Forecasting Gennady L. Andrienko, Natalia V. Andrienko, Georg Fuchs, Stefan Rüping, Jose Manuel Cordero Garcia, David Scarlatti, George A. Vouros, Ricardo Herranz, Rodrigo Marcos
2019	—	`ch.`	Data Science in Healthcare: Benefits, Challenges and Opportunities. Data Science for Healthcare 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
2019	—	`conf`	Improving Word Embeddings Using Kernel PCA. RepL4NLP@ACL Vishwani Gupta, Sven Giesselbach, Stefan Rüping, Christian Bauckhage
2019	—	`conf`	Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic. PKDD/ECML Workshops (2) Birgit Kirsch, Zamira Niyazova, Michael Mock, Stefan Rüping
2018	J	`jnl`	Making Efficient Use of a Domain Expert's Time in Relation Extraction. CoRR Linara Adilova, Sven Giesselbach, Stefan Rüping
2017	J	`jnl`	E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time. Sensors 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
2017	J	`jnl`	Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie. Wirtschaftsinformatik Manag. Dirk Hecker, Inga Döbel, Stefan Rüping, Velina Schmitz
2014	J	`jnl`	A Data Mining Based Approach for Collaborative Analysis of Biomedical Data. Int. J. Artif. Intell. Tools Georgia Tsiliki, Sophia Kossida, Natalja Friesen, Stefan Rüping, Manolis Tzagarakis, Nikos I. Karacapilidis
2014	—	`conf`	PMIR: A Personal Medical Information Recommender. MIE Haridimos Kondylakis, Lefteris Koumakis, Stefan Rüping, Eleni Kazantzaki, Kostas Marias, Manolis Tsiknakis
2014	J	`jnl`	The Technologically Integrated Oncosimulator: Combining Multiscale Cancer Modeling With Information Technology in the In Silico Oncology Context. IEEE J. Biomed. Health Informatics 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
2013	—	`conf`	Improving the implementation of clinical decision support systems. EMBC Stefan Rüping, Alberto Anguita, Anca I. D. Bucur, Traian Cristian Cirstea, Björn Jacobs, Antje Torge
2013	J	`jnl`	Towards an environment for data mining based analysis processes in bioinformatics and personalized medicine. Netw. Model. Anal. Health Informatics Bioinform. Dennis Wegener, Simona Rossi, Francesca Buffa, Mauro Delorenzi, Stefan Rüping
2012	A*	`conf`	An enhanced relevance criterion for more concise supervised pattern discovery. KDD Henrik Großkreutz, Daniel Paurat, Stefan Rüping
2012	B	`conf`	Data Mining Based Collaborative Analysis of Microarray Data. ICTAI Georgia Tsiliki, Sophia Kossida, Natalja Friesen, Stefan Rüping, Manolis Tzagarakis, Nikos I. Karacapilidis
2012	—	`conf`	Mastering data-intensive collaboration through the synergy of human and machine reasoning. CSCW (Companion) Nikos I. Karacapilidis, Lydia Lau, Charlotte P. Lee, Stefan Rüping
2012	C	`conf`	Towards a Meaningful Analysis of Big Data - Enhancing Data Mining Techniques through a Collaborative Decision Making Environment. DATA Nikos I. Karacapilidis, Stefan Rüping, Georgia Tsiliki, Manolis Tzagarakis
2011	—	`conf`	ACGT: Advancing Clinico-genomic trials on cancer - Four years of experience. MIE 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
2011	J	`jnl`	Integration and reuse of data mining in business processes - a pattern-based approach. Int. J. Bus. Process. Integr. Manag. Dennis Wegener, Stefan Rüping
2011	J	`jnl`	Secure Distributed Subgroup Discovery in Horizontally Partitioned Data. Trans. Data Priv. Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping
2011	Misc	`conf`	The ACGT project in retrospect: Lessons learned and future outlook. ICCS Anca I. D. Bucur, Stefan Rüping, Thierry Sengstag, Stelios Sfakianakis, Manolis Tsiknakis, Dennis Wegener
2010	J	`jnl`	Mastering Data-Intensive Collaboration and Decision Making through a Cloud Infrastructure. ERCIM News Nikos I. Karacapilidis, Stefan Rüping, Isabel Drost
2010	—	`conf`	On Integrating Data Mining into Business Processes. BIS Dennis Wegener, Stefan Rüping
2010	—	`conf`	On Reusing Data Mining in Business Processes - A Pattern-Based Approach. Business Process Management Workshops Dennis Wegener, Stefan Rüping
2010	J	`jnl`	Privacy-Preserving Data-Mining. Inform. Spektrum Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping
2010	A*	`conf`	SVM Classifier Estimation from Group Probabilities. ICML Stefan Rüping
2010	—	`conf`	SVM Classifier Estimation from Group Probabilities. LWA Stefan Rüping
2010	—	`conf`	Secure Top-k Subgroup Discovery. PSDML Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping
2010	—	`conf`	Workflow Analysis using Graph Kernels. LWA Natalja Friesen, Stefan Rüping
2009	—	`conf`	Building a System for Advancing Clinico-Genomic Trials on Cancer. AIAI (Workshops) Stelios Sfakianakis, Norbert M. Graf, Alexander Hoppe, Stefan Rüping, Dennis Wegener, Lefteris Koumakis, George Zacharioudakis
2009	J	`jnl`	GridR: An R-based tool for scientific data analysis in grid environments. Future Gener. Comput. Syst. Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping, Anthony Assi
2009	—	`conf`	Metadata Extraction using Text Mining. HealthGrid Shivani Seth, Stefan Rüping, Stefan Wrobel
2009	—	`conf`	On Subgroup Discovery in Numerical Domains. ECML/PKDD (1) Henrik Grosskreutz, Stefan Rüping
2009	J	`jnl`	On subgroup discovery in numerical domains. Data Min. Knowl. Discov. Henrik Grosskreutz, Stefan Rüping
2009	A*	`conf`	Ranking interesting subgroups. ICML Stefan Rüping
2009	—	`conf`	Workflows for Intelligent Monitoring using Proxy Services. HealthGrid Stefan Rüping, Dennis Wegener, Stelios Sfakianakis, Thierry Sengstag
2008	—	`conf`	A Semantic Grid Services Architecture in Support of Efficient Knowledge Discovery from Multilevel Clinical and Genomic Datasets. HEALTHINF (1) Manolis Tsiknakis, Stelios Sfakianakis, Stefan Rüping, Oswaldo Trelles, Thierry Siestang, Brecht Claerhout, Vassilis Virvilis
2008	—	`conf`	Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes. LWA Natalja Punko, Stefan Rüping, Stefan Wrobel
2008	—	`conf`	Procurement Fraud Discovery using Similarity Measure Learning. ICDM (Posters and Workshops) Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz
2008	J	`jnl`	Procurement Fraud Discovery using Similarity Measure Learning. Trans. Case Based Reason. Stefan Rüping, Natalja Punko, Björn Günter, Henrik Grosskreutz
2008	C	`conf`	Supporting Parallel R Code in Clinical Trials: A Grid-Based Approach. ISPA Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping
2008	—	`conf`	Tight Optimistic Estimates for Fast Subgroup Discovery. ECML/PKDD (1) Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel
2007	—	`conf`	Extending Workflow Management for Knowledge Discovery in Clinico-Genomic Data. HealthGrid Stefan Rüping, Stelios Sfakianakis, Manolis Tsiknakis
2007	—	`conf`	GridR: An R-Based Grid-Enabled Tool for Data Analysis in ACGT Clinico-Genomics Trials. eScience Dennis Wegener, Thierry Sengstag, Stelios Sfakianakis, Stefan Rüping, Anthony Assi
2007	—	`conf`	Knowledge Discovery Scientific Workflows in Clinico-Genomics. ICTAI (1) George Potamias, Lefteris Koumakis, Alexandros Kanterakis, Stelios Sfakianakis, Anastasia Analyti, Vassilis Moustakis, Dimitris Kafetzopoulos, Stefan Rüping, Manolis Tsiknakis
2006	—	`conf`	Grid-Based Knowledge Discovery in Clinico-Genomic Data. ISBMDA Michael May, George Potamias, Stefan Rüping
2006	—	`—`	Learning interpretable models. Stefan Rüping
2006	—	`conf`	Robust Probabilistic Calibration. ECML Stefan Rüping
2004	—	`conf`	A Simple Method For Estimating Conditional Probabilities For SVMs. LWA Stefan Rüping
2004	—	`conf`	Learning with Local Models. Local Pattern Detection Stefan Rüping
2003	—	`ch.`	Concept Drift and the Importance of Example. Text Mining Ralf Klinkenberg, Stefan Rüping
2003	—	`conf`	Support vector machines and learning about time. ICASSP (4) Stefan Rüping, Katharina Morik
2002	—	`conf`	A Multistrategy Approach to the Classification of Phases in Business Cycles. ECML Katharina Morik, Stefan Rüping
2002	—	`conf`	Support Vector Machines in Relational Databases. GI Jahrestagung Stefan Rüping
2002	—	`conf`	Support Vector Machines in Relational Databases. SVM Stefan Rüping
2001	A*	`conf`	Incremental Learning with Support Vector Machines. ICDM Stefan Rüping