Dominik Fisch

19 papers B 1Misc 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2017 — conf
Reducing Failure Analysis Time: An Industrial Evaluation.
ICSE-SEIP
Mojdeh Golagha, Alexander Pretschner, Dominik Fisch, Roman Nagy
2016 Misc conf
Impact of crossover and mutation on reproduction in evolutionary test model learning.
SISY
Michal Sroka, Dominik Fisch, Roman Nagy
2016 J jnl
Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers.
CoRR
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
2016 J jnl
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers.
Inf. Sci.
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
2014 J jnl
Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications.
IEEE Trans. Knowl. Data Eng.
Dominik Fisch, Edgar Kalkowski, Bernhard Sick
2013 — conf
A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques.
ARCS Workshops
Jörg Hähner, Stefan Rudolph, Sven Tomforde, Dominik Fisch, Bernhard Sick, Nils Kopal, Arno Wacker
2012 — —
Intelligente technische Systeme mit der Fähigkeit zum kollaborativen Wissenserwerb.
Dominik Fisch
2012 J jnl
Learning from others: Exchange of classification rules in intelligent distributed systems.
Artif. Intell.
Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
2012 J jnl
Techniques for knowledge acquisition in dynamically changing environments.
ACM Trans. Auton. Adapt. Syst.
Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
2011 — ch.
Collaborative Learning by Knowledge Exchange.
Organic Computing
Dominik Fisch, Edgar Kalkowski, Bernhard Sick
2011 — ch.
Divergence Measures as a Generalised Approach to Quantitative Emergence.
Organic Computing
Dominik Fisch, Martin Jänicke, Christian Müller-Schloer, Bernhard Sick
2011 — conf
In Your Interest - Objective Interestingness Measures for a Generative Classifier.
ICAART (1)
Dominik Fisch, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
2011 J jnl
SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis.
IEEE Trans. Knowl. Data Eng.
Dominik Fisch, Thiemo Gruber, Bernhard Sick
2010 — conf
Novelty-Aware Attack Recognition - Intrusion Detection with Organic Computing Techniques.
DIPES/BICC
Dominik Fisch, Ferdinand Kastl, Bernhard Sick
2010 J jnl
On the versatility of radial basis function neural networks: A case study in the field of intrusion detection.
Inf. Sci.
Dominik Fisch, Alexander Hofmann, Bernhard Sick
2010 — conf
Quantitative Emergence -- A Refined Approach Based on Divergence Measures.
SASO
Dominik Fisch, Martin Jänicke, Bernhard Sick, Christian Müller-Schloer
2010 J jnl
So near and yet so far: New insight into properties of some well-known classifier paradigms.
Inf. Sci.
Dominik Fisch, Bernhard Kühbeck, Bernhard Sick, Seppo J. Ovaska
2009 — conf
Learning by Teaching versus Learning by Doing: Knowledge Exchange in Organic Agent Systems.
IEEE IA
Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
2009 B conf
Training of radial basis function classifiers with resilient propagation and variational Bayesian inference.
IJCNN
Dominik Fisch, Bernhard Sick