Marco Grzegorczyk
Orcid: 0000-0002-2604-9270
According to our database1,
Marco Grzegorczyk
authored at least 30 papers
between 2006 and 2024.
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Bibliography
2024
Int. J. Approx. Reason., 2024
Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2023
A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies.
BMC Bioinform., December, 2023
Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis.
Bioinform., October, 2023
Int. J. Approx. Reason., September, 2023
Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors.
Comput. Stat., June, 2023
2022
Bioinform., November, 2022
2021
BMC Bioinform., 2021
BMC Bioinform., 2021
2020
Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parameters.
Bioinform., 2020
2019
A new Bayesian multivariate exponentially weighted moving average control chart for phase II monitoring of multivariate multiple linear profiles.
Qual. Reliab. Eng. Int., 2019
Partially non-homogeneous dynamic Bayesian networks based on Bayesian regression models with partitioned design matrices.
Bioinform., 2019
Bioinform., 2019
2018
A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
2017
Comparative evaluation of various frequentist and Bayesian non-homogeneous Poisson counting models.
Comput. Stat., 2017
Comput. Stat., 2017
2016
A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points.
Mach. Learn., 2016
2014
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
2013
Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models.
Mach. Learn., 2013
2012
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
2011
Comput. Stat., 2011
Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes.
Bioinform., 2011
2010
2009
Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks.
Proceedings of the Pattern Recognition in Bioinformatics, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move.
Mach. Learn., 2008
Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler.
Bioinform., 2008
2006
Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
Bioinform., 2006