Vasileios Maroulas

According to our database1, Vasileios Maroulas authored at least 28 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
A Bayesian Framework for Persistent Homology.
SIAM J. Math. Data Sci., 2020

Bayesian Topological Learning for Classifying the Structure of Biological Networks.
CoRR, 2020

A stable cardinality distance for topological classification.
Adv. Data Anal. Classif., 2020

2019
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams.
J. Mach. Learn. Res., 2019

Bayesian Topological Learning for Brain State Classification.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Probability Matrices.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Improved distributed particle filters for tracking in a wireless sensor network.
Comput. Stat. Data Anal., 2018

Signal classification with a point process distance on the space of persistence diagrams.
Adv. Data Anal. Classif., 2018

2017
Adaptive Meshfree Backward SDE Filter.
SIAM J. Sci. Comput., 2017

A Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion.
SIAM J. Imaging Sci., 2017

2016
Decentralized sparsity-based multi-source association and state tracking.
Signal Process., 2016

Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets.
EURASIP J. Adv. Signal Process., 2016

Sparsity based multi-target tracking using mobile sensors.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Topological learning for acoustic signal identification.
Proceedings of the 19th International Conference on Information Fusion, 2016

A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking.
Proceedings of the 19th International Conference on Information Fusion, 2016

On least-squares estimation for partially observed jump-diffusion processes.
Proceedings of the 2016 American Control Conference, 2016

2015
Distributed spatio-temporal association and tracking of multiple targets using multiple sensors.
IEEE Trans. Aerosp. Electron. Syst., 2015

Dynamic Data Driven Sensor Network Selection and Tracking.
Proceedings of the International Conference on Computational Science, 2015

Distributed spatio-temporal multi-target association and tracking.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A learning drift homotopy particle filter.
Proceedings of the 18th International Conference on Information Fusion, 2015

A multiobjective optimization framework for stochastic control of complex systems.
Proceedings of the American Control Conference, 2015

2014
Probability Matrices.
Encyclopedia of Social Network Analysis and Mining, 2014

Joint sensors-sources association and tracking.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Drift homotopy particle filter for non-Gaussian multi-target tracking.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Distributed principal components analysis in sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Drift homotopy methods for a non-Gaussian filter.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Improved particle filters for multi-target tracking.
J. Comput. Phys., 2012

2009
A sequential procedure for simultaneous detection and state estimation of Markov signals.
Proceedings of the IEEE International Symposium on Information Theory, 2009


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