Dominik Fisch

Publication Activity (10 Years)

Years Active: 2009-2017
Publications (10 Years): 4

Top Venues

CoRR

Artif. Intell.

ICSE-SEIP

ARCS Workshops

University of Kassel (PHD)

Education History

University of Kassel

PHD

Publications

Mojdeh Golagha, Alexander Pretschner, Dominik Fisch, Roman Nagy
Reducing Failure Analysis Time: An Industrial Evaluation. ICSE-SEIP (2017)
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers. Inf. Sci. (2016)
Michal Sroka, Dominik Fisch, Roman Nagy
Impact of crossover and mutation on reproduction in evolutionary test model learning. SISY (2016)
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. CoRR (2016)
Dominik Fisch, Edgar Kalkowski, Bernhard Sick
Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications. IEEE Trans. Knowl. Data Eng. 26 (3) (2014)
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)
Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
Learning from others: Exchange of classification rules in intelligent distributed systems. Artif. Intell. 187 (2012)
Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
Techniques for knowledge acquisition in dynamically changing environments. ACM Trans. Auton. Adapt. Syst. 7 (1) (2012)
Dominik Fisch, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
In Your Interest - Objective Interestingness Measures for a Generative Classifier. ICAART (1) (2011)
Dominik Fisch, Thiemo Gruber, Bernhard Sick
SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis. IEEE Trans. Knowl. Data Eng. 23 (5) (2011)
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) (2010)
Dominik Fisch, Ferdinand Kastl, Bernhard Sick
Novelty-Aware Attack Recognition - Intrusion Detection with Organic Computing Techniques. DIPES/BICC (2010)
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) (2010)
Dominik Fisch, Martin Jänicke, Bernhard Sick, Christian Müller-Schloer
Quantitative Emergence -- A Refined Approach Based on Divergence Measures. SASO (2010)
Dominik Fisch, Bernhard Sick
Training of radial basis function classifiers with resilient propagation and variational Bayesian inference. IJCNN (2009)
Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
Learning by Teaching versus Learning by Doing: Knowledge Exchange in Organic Agent Systems. IEEE IA (2009)

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Publication Activity (10 Years)

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Dominik Fisch