Joachim Diederich
Title
Cited by
Cited by
Year
Survey and critique of techniques for extracting rules from trained artificial neural networks
R Andrews, J Diederich, AB Tickle
Knowledge-based systems 8 (6), 373-389, 1995
14211995
The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks
AB Tickle, R Andrews, M Golea, J Diederich
IEEE Transactions on Neural Networks 9 (6), 1057-1068, 1998
5291998
Authorship attribution with support vector machines
J Diederich, J Kindermann, E Leopold, G Paass
Applied intelligence 19 (1-2), 109-123, 2003
4572003
KRITON: a knowledge-acquisition tool for expert systems
J Diederich, I Ruhmann, M May
International Journal of Man-Machine Studies 26 (1), 29-40, 1987
1721987
Eclectic rule-extraction from support vector machines
N Barakat, J Diederich
International Journal of Computational Intelligence 2 (1), 59-62, 2005
1482005
Rule extraction from support vector machines: An introduction
J Diederich
Rule extraction from support vector machines, 3-31, 2008
1012008
Towards melodic extension using genetic algorithms
MW Towsey, AR Brown, SK Wright, J Diederich
Educational Technology & Society 4 (2), 54-65, 2001
992001
Learning-based rule-extraction from support vector machines
N Barakat, J Diederich
not found, 2004
742004
Artificial neural networks: Concept learning
J Diederich
IEEE Press, 1990
701990
A framework for comparison of process in algorithmic music systems
R Wooller, A Brown, E Miranda, J Diederich
Generative Arts Practice:, 109-124, 2005
582005
Rule-Neg: Extracting Rules from Trained ANN by Step-wise Negation
E Pop, R Hayward, J Diederich
Neurocomputing Research Centre, School of Computing Science, Queensland …, 1994
561994
Explanation and artificial neural networks
J Diederich
International Journal of Man-Machine Studies 37 (3), 335-355, 1992
561992
Cluster analysis reveals risk factors for repeated suicide attempts in a multi-ethnic Asian population
C Choo, J Diederich, I Song, R Ho
Asian journal of psychiatry 8, 38-42, 2014
512014
DEDEC: decision detection by rule extraction from neural networks
AB Tickle, M Orlowski, J Diederich
QUT NRC, 1994
481994
Ex-ray: Data mining and mental health
J Diederich, A Al-Ajmi, P Yellowlees
Applied Soft Computing 7 (3), 923-928, 2007
472007
DEDEC: A methodology for extracting rules from trained artificial neural networks
AB Tickle, M Orlowski, J Diederich
Neurocomputing Research Centre, Queensland University of Technology, 1996
471996
Connectionist recruitment learning
J Diederich
Artificial neural networks: concept learning, 63-68, 1990
441990
Limiting human perception for image sequences
AJ Maeder, J Diederich, E Niebur
Human Vision and Electronic Imaging 2657, 330-337, 1996
351996
Knowledge extraction and recurrent neural networks: An analysis of an Elman network trained on a natural language learning task
I Schellhammer, J Diederich, M Towsey, C Brugman
New Methods in Language Processing and Computational Natural Language Learning, 1998
331998
Steps towards knowledge-intensive connectionist learning
J Diederich
Advances in connectionist and neural computation theory 1, 1991
331991
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Articles 1–20