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Stefan Rüping
Stefan Rüping
Verified email at iais.fraunhofer.de - Homepage
Title
Cited by
Cited by
Year
Incremental learning with support vector machines
S Ruping
Proceedings 2001 IEEE international conference on data mining, 641-642, 2001
3342001
A review of machine learning for the optimization of production processes
D Weichert, P Link, A Stoll, S Rüping, S Ihlenfeldt, S Wrobel
The International Journal of Advanced Manufacturing Technology 104 (5), 1889 …, 2019
2502019
SVM classifier estimation from group probabilities
S Rueping
Proceedings of the 27th international conference on machine learning (ICML …, 2010
1562010
mySVM-manual
S Ruping
http://www-ai. cs. uni-dortmund. de/SOFTWARE/MYSVM/, 2000
1512000
SVM kernels for time series analysis
S Rüping
Technical report, 2001
1502001
Learning interpretable models
S Rüping
1382006
On subgroup discovery in numerical domains
H Grosskreutz, S Rüping
Data mining and knowledge discovery 19, 210-226, 2009
1332009
Tight optimistic estimates for fast subgroup discovery
H Grosskreutz, S Rüping, S Wrobel
Joint European conference on machine learning and knowledge discovery in …, 2008
1322008
E2mc: Improving emergency management service practice through social media and crowdsourcing analysis in near real time
C Havas, B Resch, C Francalanci, B Pernici, G Scalia, ...
Sensors 17 (12), 2766, 2017
832017
Advanced sensing and human activity recognition in early intervention and rehabilitation of elderly people
L Schrader, A Vargas Toro, S Konietzny, S Rüping, B Schäpers, ...
Journal of Population Ageing 13, 139-165, 2020
752020
Concept Drift and the Importance of Example.
R Klinkenberg, S Rüping
Text mining, 55-78, 2003
672003
Inspect, understand, overcome: A survey of practical methods for ai safety
S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ...
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
532022
Support vector machines and learning about time
S Ruping, K Morik
2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003
462003
Maschinelles Lernen. Eine Analyse zu Kompetenzen, Forschung und Anwendung
I Döbel, M Leis, M Molina Vogelsang, J Welz, D Neustroev, H Petzka, ...
Fraunhofer-Gesellschaft, 2018
452018
Data science in healthcare: Benefits, challenges and opportunities
Z Abedjan, N Boujemaa, S Campbell, P Casla, S Chatterjea, S Consoli, ...
Data Science for Healthcare: Methodologies and Applications, 3-38, 2019
432019
Big data in medizin und gesundheitswesen
S Rüping
Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz 58 (8), 794-798, 2015
43*2015
Maschinelles Lernen. Eine Analyse zu Kompetenzen
I Döbel, M Leis, MM Vogelsang, D Neustroev, H Petzka, A Riemer, ...
Forschung und Anwendung, 2018
402018
A simple method for estimating conditional probabilities for svms
S Rüping
Technical report, 2004
392004
GridR: An R-based grid-enabled tool for data analysis in ACGT clinico-genomics trials
D Wegener, T Sengstag, S Sfakianakis, S Ruping, A Assi
Third IEEE International Conference on e-Science and Grid Computing (e …, 2007
352007
On integrating data mining into business processes
D Wegener, S Rüping
Business Information Systems: 13th International Conference, BIS 2010 …, 2010
342010
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