Equivalent error bars for neural network classifiers trained by Bayesian inference. - Peter Sykacek (ESANN, 1997)

Experiences with Bayesian Learning in a Real World Application. - Peter Sykacek; Georg Dorffner; Peter Rappelsberger; Josef Zeitlhofer (NIPS, 1997)

Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. - Nello Cristianini; John Shawe-Taylor; Peter Sykacek (ICML, 1998)

Outliers and Bayesian Inference. - Peter Sykacek (NC, 1998)

On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling. - Peter Sykacek (NIPS, 1999)

Modelling Uncertainty in Biomedical Applications of Neural Networks. - Georg Dorffner; Peter Sykacek; Christian Schittenkopf (ANNIMAB, 2000)

Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager. - Arthur Flexer; Peter Sykacek; Georg Dorffner; Iead Rezek (IJCNN (3), 2000)

A Probabilistic Approach to High-Resolution Sleep Analysis. - Peter Sykacek; Stephen J. Roberts; Iead Rezek; Arthur Flexer; Georg Dorffner (ICANN, 2001)

Bayesian time series classification. - Peter Sykacek; Stephen J. Roberts (NIPS, 2001)

Adaptive Classification by Variational Kalman Filtering. - Peter Sykacek; Stephen J. Roberts (NIPS, 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)

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)

Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals. - Iead Rezek; Stephen J. Roberts; Peter Sykacek (AISTATS, 2003)

Gene ranking using bootstrapped P-values. - S. N. Mukherjee; Stephen J. Roberts; Peter Sykacek; Sarah J. Gurr (SIGKDD Explor., 2003)

Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation. - Peter Sykacek; Stephen J. Roberts; Maria Stokes (IEEE Trans. Biomed. Eng., 2004)

A friendly statistics package for microarray analysis. - Peter Sykacek; R. A. Furlong; Gos Micklem (Bioinform., 2005)

Bayesian modelling of shared gene function. - Peter Sykacek; R. Clarkson; Cristin G. Print; R. A. Furlong; Gos Micklem (Bioinform., 2007)

Biological assessment of robust noise models in microarray data analysis. - Alexandra Posekany; K. Felsenstein; Peter Sykacek (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)

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)

Bayesian assignment of gene ontology terms to gene expression experiments. - Peter Sykacek (Bioinform., 2012)

Biased Against Race or Age? - Peter Sykacek (IEEE Softw., 2020)