Christian Schittenkopf

Affiliations:
  • QSCM GmbH & Co KG, Vienna, Austria
  • Austrian Research Institute for Artificial Intelligence, Vienna, Austria (former)
  • Technical University Munich, Germany (former)


According to our database1, Christian Schittenkopf authored at least 14 papers between 1996 and 2001.

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

Timeline

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Bibliography

2001
Financial volatility trading using recurrent neural networks.
IEEE Trans. Neural Networks, 2001

Risk-neutral density extraction from option prices: improved pricing with mixture density networks.
IEEE Trans. Neural Networks, 2001

Volatility Trading ia Temporal Pattern Recognition in Quantised Financial Time Series.
Pattern Anal. Appl., 2001

2000
The profitability of trading volatility using real-valued and symbolic models.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

Modelling Uncertainty in Biomedical Applications of Neural Networks.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999
Fat tails and non-linearity in volatility models: what is more important?
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

1998
Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics.
Proceedings of the Hybrid Neural Systems, 1998

1997
Dynamische Übertragung von Information in nichtlinearen Systemen.
PhD thesis, 1997

Two Strategies to Avoid Overfitting in Feedforward Networks.
Neural Networks, 1997

Finit Automata-Models for the Investigation of Dynamical Systems.
Inf. Process. Lett., 1997

Nonlinear Modelling of the Daily Heart Rhythm.
Proceedings of the Artificial Neural Networks, 1997

Detecting non-linear dynamics in financial time series.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

A Nonlinear Markovian Characterization of Time Series Using Neural Networks.
Proceedings of the Foundations of Computer Science: Potential - Theory, 1997

1996
An Information Theoretic Measure for the Classification of Time Series.
Proceedings of the Artificial Neural Networks, 1996


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