Dominik Fisch

According to our database1, Dominik Fisch authored at least 18 papers between 2009 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
Reducing Failure Analysis Time: An Industrial Evaluation.
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track, 2017

2016
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers.
Inf. Sci., 2016

Impact of crossover and mutation on reproduction in evolutionary test model learning.
Proceedings of the 14th IEEE International Symposium on Intelligent Systems and Informatics, 2016

2014
Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications.
IEEE Trans. Knowl. Data Eng., 2014

2013
A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques.
Proceedings of the ARCS 2013, 2013

2012
Intelligente technische Systeme mit der Fähigkeit zum kollaborativen Wissenserwerb.
PhD thesis, 2012

Techniques for knowledge acquisition in dynamically changing environments.
ACM Trans. Auton. Adapt. Syst., 2012

Learning from others: Exchange of classification rules in intelligent distributed systems.
Artif. Intell., 2012

2011
SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis.
IEEE Trans. Knowl. Data Eng., 2011

In Your Interest - Objective Interestingness Measures for a Generative Classifier.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

Collaborative Learning by Knowledge Exchange.
Proceedings of the Organic Computing - A Paradigm Shift for Complex Systems, 2011

Divergence Measures as a Generalised Approach to Quantitative Emergence.
Proceedings of the Organic Computing - A Paradigm Shift for Complex Systems, 2011

2010
So near and yet so far: New insight into properties of some well-known classifier paradigms.
Inf. Sci., 2010

On the versatility of radial basis function neural networks: A case study in the field of intrusion detection.
Inf. Sci., 2010

Quantitative Emergence -- A Refined Approach Based on Divergence Measures.
Proceedings of the Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2010

Novelty-Aware Attack Recognition - Intrusion Detection with Organic Computing Techniques.
Proceedings of the Distributed, Parallel and Biologically Inspired Systems, 2010

2009
Training of radial basis function classifiers with resilient propagation and variational Bayesian inference.
Proceedings of the International Joint Conference on Neural Networks, 2009

Learning by Teaching versus Learning by Doing: Knowledge Exchange in Organic Agent Systems.
Proceedings of the IEEE Symposium on Intelligent Agents, IA 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009, 2009


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