Peter Sykacek

22 papers A* 1A 1B 1C 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2020 J jnl
Biased Against Race or Age?
IEEE Softw.
Peter Sykacek
2012 J jnl
Bayesian assignment of gene ontology terms to gene expression experiments.
Bioinform.
Peter Sykacek
2011 J jnl
An analysis of single amino acid repeats as use case for application specific background models.
BMC Bioinform.
Pawel P. Labaj, Peter Sykacek, David P. Kreil
2011 J jnl
Biological assessment of robust noise models in microarray data analysis.
Bioinform.
Alexandra Posekany, K. Felsenstein, Peter Sykacek
2011 J jnl
The impact of quantitative optimization of hybridization conditions on gene expression analysis.
BMC Bioinform.
Peter Sykacek, David P. Kreil, Lisa A. Meadows, Richard P. Auburn, Bettina Fischer, Steven Russell, Gos Micklem
2007 J jnl
Bayesian modelling of shared gene function.
Bioinform.
Peter Sykacek, R. Clarkson, Cristin G. Print, R. A. Furlong, Gos Micklem
2005 J jnl
A friendly statistics package for microarray analysis.
Bioinform.
Peter Sykacek, R. A. Furlong, Gos Micklem
2004 J jnl
Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation.
IEEE Trans. Biomed. Eng.
Peter Sykacek, Stephen J. Roberts, Maria Stokes
2003 A conf
Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals.
AISTATS
Iead Rezek, Stephen J. Roberts, Peter Sykacek
2003 J jnl
Gene ranking using bootstrapped P-values.
SIGKDD Explor.
S. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr
2002 — conf
Adaptive Classification by Variational Kalman Filtering.
NIPS
Peter Sykacek, Stephen J. Roberts
2002 J jnl
An Automatic, Continuous and Probabilistic Sleep Stager Based on a Hidden Markov Model.
Appl. Artif. Intell.
Arthur Flexer, Georg Dorffner, Peter Sykacek, Iead Rezek
2002 J jnl
Improving Biosignal Processing through Modeling Uncertainty: Bayes vs. Non-Bayes in Sleep Staging.
Appl. Artif. Intell.
Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer
2001 C conf
A Probabilistic Approach to High-Resolution Sleep Analysis.
ICANN
Peter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner
2001 — conf
Bayesian time series classification.
NIPS
Peter Sykacek, Stephen J. Roberts
2000 — conf
Modelling Uncertainty in Biomedical Applications of Neural Networks.
ANNIMAB
Georg Dorffner, Peter Sykacek, Christian Schittenkopf
2000 — conf
Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager.
IJCNN (3)
Arthur Flexer, Peter Sykacek, Georg Dorffner, Iead Rezek
1999 — conf
On Input Selection with Reversible Jump Markov Chain Monte Carlo Sampling.
NIPS
Peter Sykacek
1998 A* conf
Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space.
ICML
Nello Cristianini, John Shawe-Taylor, Peter Sykacek
1998 — conf
Outliers and Bayesian Inference.
NC
Peter Sykacek
1997 B conf
Equivalent error bars for neural network classifiers trained by Bayesian inference.
ESANN
Peter Sykacek
1997 — conf
Experiences with Bayesian Learning in a Real World Application.
NIPS
Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer