Pekka Marttinen

According to our database1, Pekka Marttinen authored at least 31 papers between 2004 and 2020.

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Bibliography

2020
Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks.
CoRR, 2020

A Survey on Knowledge Graphs: Representation, Acquisition and Applications.
CoRR, 2020

2019
A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation.
PLoS Computational Biology, 2019

Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation.
CoRR, 2019

Errors-in-variables Modeling of Personalized Treatment-Response Trajectories.
CoRR, 2019

Parallel Gaussian process surrogate method to accelerate likelihood-free inference.
CoRR, 2019

Recovering Pairwise Interactions Using Neural Networks.
CoRR, 2019

Modelling G×E with historical weather information improves genomic prediction in new environments.
Bioinform., 2019

Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention.
Proceedings of the Machine Learning for Health Workshop, 2019

2018
ELFI: Engine for Likelihood-Free Inference.
J. Mach. Learn. Res., 2018

A Bayesian model of acquisition and clearance of bacterial colonization.
CoRR, 2018

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.
Bioinform., 2018

Bacmeta: simulator for genomic evolution in bacterial metapopulations.
Bioinform., 2018

2017
Speciation trajectories in recombining bacterial species.
PLoS Computational Biology, 2017

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.
CoRR, 2017

biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements.
Bioinform., 2017

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

2016
Multiple Output Regression with Latent Noise.
J. Mach. Learn. Res., 2016

metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis.
Bioinform., 2016

2014
Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.
Bioinform., 2014

2013
Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.
CoRR, 2013

2010
Efficient Bayesian approach for multilocus association mapping including gene-gene interactions.
BMC Bioinform., 2010

2009
Bayesian Clustering of Fuzzy Feature Vectors Using a Quasi-Likelihood Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Bayesian learning of graphical vector autoregressions with unequal lag-lengths.
Mach. Learn., 2009

Robust extraction of functional signals from gene set analysis using a generalized threshold free scoring function.
BMC Bioinform., 2009

Bayesian clustering and feature selection for cancer tissue samples.
BMC Bioinform., 2009

2008
Bayesian modeling of recombination events in bacterial populations.
BMC Bioinform., 2008

Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.
BMC Bioinform., 2008

2006
Bayesian Model Learning Based on Predictive Entropy.
Journal of Logic, Language and Information, 2006

Bayesian search of functionally divergent protein subgroups and their function specific residues.
Bioinform., 2006

2004
BAPS 2: enhanced possibilities for the analysis of genetic population structure.
Bioinform., 2004


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