Peter Sykacek - researchr alias

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Viewing Publication 1 - 19 from 19

2020

Biased Against Race or Age?Peter Sykacek. IEEE Software, 37(4):22, 2020. [doi]

2012

Bayesian assignment of gene ontology terms to gene expression experimentsPeter Sykacek. bioinformatics, 28(18):603-610, 2012. [doi]

2011

An analysis of single amino acid repeats as use case for application specific background modelsPawel P. Labaj, Peter Sykacek, David P. Kreil. bmcbi, 12:173, 2011. [doi]

The impact of quantitative optimization of hybridization conditions on gene expression analysisPeter Sykacek, David P. Kreil, Lisa A. Meadows, Richard P. Auburn, Bettina Fischer, Steven Russell, Gos Micklem. bmcbi, 12:73, 2011. [doi]

2004

Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluationPeter Sykacek, Stephen J. Roberts, Maria Stokes. tbe, 51(5):719-727, 2004. [doi]

2003

Gene ranking using bootstrapped P-valuesS. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr. sigkdd, 5(2):16-22, 2003. [doi]

Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic SignalsIead Rezek, Stephen J. Roberts, Peter Sykacek. aistats 2003: [doi]

2002

An Automatic, Continuous and Probabilistic Sleep Stager Based on a Hidden Markov ModelArthur Flexer, Georg Dorffner, Peter Sykacek, Iead Rezek. aai, 16(3):199-207, 2002. [doi]

Improving Biosignal Processing through Modeling Uncertainty: Bayes vs. Non-Bayes in Sleep StagingPeter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer. aai, 16(5):395-421, 2002. [doi]

Adaptive Classification by Variational Kalman FilteringPeter Sykacek, Stephen J. Roberts. nips 2003: 737-744 [doi]

2001

A Probabilistic Approach to High-Resolution Sleep AnalysisPeter Sykacek, Stephen J. Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner. icann 2001: 617-624 [doi]

Bayesian time series classificationPeter Sykacek, Stephen J. Roberts. nips 2001: 937-944 [doi]

2000

Modelling Uncertainty in Biomedical Applications of Neural NetworksGeorg Dorffner, Peter Sykacek, Christian Schittenkopf. annimab 2000: 18-25 [doi]

Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep StagerArthur Flexer, Peter Sykacek, Georg Dorffner, Iead Rezek. ijcnn 2000: 627-631 [doi]

1999

On Input Selection with Reversible Jump Markov Chain Monte Carlo SamplingPeter Sykacek. nips 2000: 638-644 [doi]

1998

Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert SpaceNello Cristianini, John Shawe-Taylor, Peter Sykacek. icml 1998: 109-117

Outliers and Bayesian InferencePeter Sykacek. nc 1998: 973-978

1997

Experiences with Bayesian Learning in a Real World ApplicationPeter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer. nips 1998: 964-970

Equivalent error bars for neural network classifiers trained by Bayesian inferencePeter Sykacek. esann 1997:

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