Peter Sykacek

Publication Activity (10 Years)

Years Active: 1997-2020
Publications (10 Years): 1

Top Topics

Microarray Data Analysis

Differentially Expressed

Gene Expression

Top Venues

Publications

Peter Sykacek
Biased Against Race or Age? IEEE Softw. 37 (4) (2020)
Peter Sykacek
Bayesian assignment of gene ontology terms to gene expression experiments. Bioinform. 28 (18) (2012)
Peter Sykacek, David P. Kreil, Lisa A. Meadows, Richard P. Auburn, Bettina Fischer, Steven Russell, Gos Micklem
The impact of quantitative optimization of hybridization conditions on gene expression analysis. BMC Bioinform. 12 (2011)
Pawel P. Labaj, Peter Sykacek, David P. Kreil
An analysis of single amino acid repeats as use case for application specific background models. BMC Bioinform. 12 (2011)
Alexandra Posekany, K. Felsenstein, Peter Sykacek
Biological assessment of robust noise models in microarray data analysis. Bioinform. 27 (6) (2011)
Peter Sykacek, R. Clarkson, Cristin G. Print, R. A. Furlong, Gos Micklem
Bayesian modelling of shared gene function. Bioinform. 23 (15) (2007)
Peter Sykacek, R. A. Furlong, Gos Micklem
A friendly statistics package for microarray analysis. Bioinform. 21 (21) (2005)
Peter Sykacek, Stephen J. Roberts, Maria Stokes
Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation. IEEE Trans. Biomed. Eng. 51 (5) (2004)
Iead Rezek, Stephen J. Roberts, Peter Sykacek
Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals. AISTATS (2003)
S. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr
Gene ranking using bootstrapped P-values. SIGKDD Explor. 5 (2) (2003)
Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer
Improving Biosignal Processing through Modeling Uncertainty: Bayes vs. Non-Bayes in Sleep Staging. Appl. Artif. Intell. 16 (5) (2002)
Peter Sykacek, Stephen J. Roberts
Adaptive Classification by Variational Kalman Filtering. NIPS (2002)
Arthur Flexer, Georg Dorffner, Peter Sykacek, Iead Rezek
An Automatic, Continuous and Probabilistic Sleep Stager Based on a Hidden Markov Model. Appl. Artif. Intell. 16 (3) (2002)
Peter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner
A Probabilistic Approach to High-Resolution Sleep Analysis. ICANN (2001)
Peter Sykacek, Stephen J. Roberts
Bayesian time series classification. NIPS (2001)
Georg Dorffner, Peter Sykacek, Christian Schittenkopf
Modelling Uncertainty in Biomedical Applications of Neural Networks. ANNIMAB (2000)
Arthur Flexer, Peter Sykacek, Georg Dorffner, Iead Rezek
Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager. IJCNN (3) (2000)
Peter Sykacek
On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling. NIPS (1999)
Peter Sykacek
Outliers and Bayesian Inference. NC (1998)
Nello Cristianini, John Shawe-Taylor, Peter Sykacek
Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. ICML (1998)
Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer
Experiences with Bayesian Learning in a Real World Application. NIPS (1997)
Peter Sykacek
Equivalent error bars for neural network classifiers trained by Bayesian inference. ESANN (1997)