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ORCIDDominik Fisch
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2010 – 2019
- 2017
[c8]Mojdeh Golagha, Alexander Pretschner, Dominik Fisch, Roman Nagy:
Reducing Failure Analysis Time: An Industrial Evaluation. ICSE-SEIP 2017: 293-302- 2016
- [j7]Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick
, Seppo J. Ovaska:
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers. Inf. Sci. 370-371: 476-496 (2016) - [c7]Michal Sroka, Dominik Fisch, Roman Nagy:
Impact of crossover and mutation on reproduction in evolutionary test model learning. SISY 2016: 39-44 - [i1]Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska:
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. CoRR abs/1605.06377 (2016) - 2014
- [j6]Dominik Fisch, Edgar Kalkowski, Bernhard Sick:
Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications. IEEE Trans. Knowl. Data Eng. 26(3): 652-666 (2014) - 2013
- [c6]Jörg Hähner, Stefan Rudolph, Sven Tomforde, Dominik Fisch, Bernhard Sick, Nils Kopal, Arno Wacker:
A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques. ARCS Workshops 2013 - 2012
- [b1]Dominik Fisch:
Intelligente technische Systeme mit der Fähigkeit zum kollaborativen Wissenserwerb. University of Kassel, 2012, ISBN 978-3-89958-577-3, pp. 1-244 - [j5]Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick:
Learning from others: Exchange of classification rules in intelligent distributed systems. Artif. Intell. 187: 90-114 (2012) - [j4]Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick:
Techniques for knowledge acquisition in dynamically changing environments. ACM Trans. Auton. Adapt. Syst. 7(1): 16:1-16:25 (2012) - 2011
- [j3]Dominik Fisch, Thiemo Gruber, Bernhard Sick:
SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis. IEEE Trans. Knowl. Data Eng. 23(5): 774-787 (2011) - [c5]Dominik Fisch, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska:
In Your Interest - Objective Interestingness Measures for a Generative Classifier. ICAART (1) 2011: 414-423 - [p2]Dominik Fisch, Martin Jänicke, Christian Müller-Schloer, Bernhard Sick:
Divergence Measures as a Generalised Approach to Quantitative Emergence. Organic Computing 2011: 53-66 - [p1]Dominik Fisch, Edgar Kalkowski, Bernhard Sick:
Collaborative Learning by Knowledge Exchange. Organic Computing 2011: 267-280 - 2010
- [j2]Dominik Fisch, Alexander Hofmann, Bernhard Sick:
On the versatility of radial basis function neural networks: A case study in the field of intrusion detection. Inf. Sci. 180(12): 2421-2439 (2010) - [j1]Dominik Fisch, Bernhard Kühbeck, Bernhard Sick, Seppo J. Ovaska:
So near and yet so far: New insight into properties of some well-known classifier paradigms. Inf. Sci. 180(18): 3381-3401 (2010) - [c4]Dominik Fisch, Ferdinand Kastl, Bernhard Sick:
Novelty-Aware Attack Recognition - Intrusion Detection with Organic Computing Techniques. DIPES/BICC 2010: 242-253 - [c3]Dominik Fisch, Martin Jänicke, Bernhard Sick, Christian Müller-Schloer:
Quantitative Emergence -- A Refined Approach Based on Divergence Measures. SASO 2010: 94-103
2000 – 2009
- 2009
- [c2]Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick:
Learning by Teaching versus Learning by Doing: Knowledge Exchange in Organic Agent Systems. IEEE IA 2009: 31-38 - [c1]Dominik Fisch, Bernhard Sick:
Training of radial basis function classifiers with resilient propagation and variational Bayesian inference. IJCNN 2009: 838-847
Coauthor Index
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