Peter Sykacek

According to our database, Peter Sykacek authored at least 22 papers between 1997 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2020

Biased Against Race or Age?

Peter Sykacek

IEEE Softw., 2020

2012

Bayesian assignment of gene ontology terms to gene expression experiments.

Peter Sykacek

Bioinform., 2012

2011

The impact of quantitative optimization of hybridization conditions on gene expression analysis.

Peter Sykacek, David P. Kreil, Lisa A. Meadows, Richard P. Auburn, Bettina Fischer, Steven Russell, Gos Micklem

BMC Bioinform., 2011

An analysis of single amino acid repeats as use case for application specific background models.

Pawel P. Labaj, Peter Sykacek, David P. Kreil

BMC Bioinform., 2011

Biological assessment of robust noise models in microarray data analysis.

Alexandra Posekany, K. Felsenstein, Peter Sykacek

Bioinform., 2011

2007

Bayesian modelling of shared gene function.

Peter Sykacek, R. Clarkson, Cristin G. Print, R. A. Furlong, Gos Micklem

Bioinform., 2007

2005

A friendly statistics package for microarray analysis.

Peter Sykacek, R. A. Furlong, Gos Micklem

Bioinform., 2005

2004

Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation.

Peter Sykacek, Stephen J. Roberts, Maria Stokes

IEEE Trans. Biomed. Eng., 2004

2003

Gene ranking using bootstrapped P-values.

S. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr

SIGKDD Explor., 2003

Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals.

Iead Rezek, Stephen J. Roberts, Peter Sykacek

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Improving Biosignal Processing through Modeling Uncertainty: Bayes vs. Non-Bayes in Sleep Staging.

Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer

Appl. Artif. Intell., 2002

An Automatic, Continuous and Probabilistic Sleep Stager Based on a Hidden Markov Model.

Arthur Flexer, Georg Dorffner, Peter Sykacek, Iead Rezek

Appl. Artif. Intell., 2002

Adaptive Classification by Variational Kalman Filtering.

Peter Sykacek, Stephen J. Roberts

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Bayesian time series classification.

Peter Sykacek, Stephen J. Roberts

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A Probabilistic Approach to High-Resolution Sleep Analysis.

Peter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner

Proceedings of the Artificial Neural Networks, 2001

2000

Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager.

Arthur Flexer, Peter Sykacek, Georg Dorffner, Iead Rezek

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Modelling Uncertainty in Biomedical Applications of Neural Networks.

Georg Dorffner, Peter Sykacek, Christian Schittenkopf

Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999

On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling.

Peter Sykacek

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Outliers and Bayesian Inference.

Peter Sykacek

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space.

Nello Cristianini, John Shawe-Taylor, Peter Sykacek

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

1997

Experiences with Bayesian Learning in a Real World Application.

Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Equivalent error bars for neural network classifiers trained by Bayesian inference.

Peter Sykacek

Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997