Nikolaos Gianniotis

According to our database1, Nikolaos Gianniotis authored at least 17 papers between 2007 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Mixed Variational Inference.
Proceedings of the International Joint Conference on Neural Networks, 2019

2017
Linear Dimensionality Reduction for Time Series.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Approximate variational inference based on a finite sample of Gaussian latent variables.
Pattern Anal. Appl., 2016

Model-coupled autoencoder for time series visualisation.
Neurocomputing, 2016

A spectral model for multimodal redshift estimation.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Autoencoding time series for visualisation.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Manifold aligned ground motion prediction equations for regional datasets.
Comput. Geosci., 2014

2013
Visualisation of high-dimensional data using an ensemble of neural networks.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

Interpretable magnification factors for topographic maps of high dimensional and structured data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Autoencoding Ground Motion Data for Visualisation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2009
Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model.
Proceedings of the Artificial Neural Networks, 2009

Visualization of Structured Data via Generative Probabilistic Modeling.
Proceedings of the Similarity-Based Clustering, 2009

2008
Visualisation of structured data through generative probabilistic modeling.
PhD thesis, 2008

Visualization of Tree-Structured Data Through Generative Topographic Mapping.
IEEE Trans. Neural Networks, 2008

2007
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling.
Proceedings of the IJCAI 2007, 2007

Visualisation of tree-structured data through generative probabilistic modelling.
Proceedings of the ESANN 2007, 2007


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