Erzsébet Merényi

Orcid: 0000-0001-8705-6186

Affiliations:
  • Rice University, Houston, USA


According to our database1, Erzsébet Merényi authored at least 50 papers between 1998 and 2022.

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

Timeline

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Bibliography

2022
DM-pruning CADJ graphs for SOM clustering.
Neural Comput. Appl., 2022

Automating t-SNE parameterization with prototype-based learning of manifold connectivity.
Neurocomputing, 2022

2021
A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data.
Neural Comput. Appl., 2020

2019
A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

2017
Using spatial characteristics to aid automation of SOM segmentation of functional image data.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

SOM-empowered graph segmentation for fast automatic clustering of large and complex data.
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

2016
The Effect of SOM Size and Similarity Measure on Identification of Functional and Anatomical Regions in fMRI Data.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Mining complex hyperspectral ALMA cubes for structure with neural machine learning.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Deep data: discovery and visualization Application to hyperspectral ALMA imagery.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

2014
Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Classification of hyperspectral imagery with neural networks: comparison to conventional tools.
EURASIP J. Adv. Signal Process., 2014

The Sky Is Not the Limit.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

SOM and MCODE methods of defining functional clusters in MRI of the brain.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
An Adaptive Similarity Measure for Classification of Hyperspectral Signatures.
IEEE Geosci. Remote. Sens. Lett., 2013

A reconfigurable neuroprocessor for self-organizing feature maps.
Neurocomputing, 2013

2012
Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Parallel neural hardware: the time is right.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
A Validity Index for Prototype-Based Clustering of Data Sets With Complex Cluster Structures.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Learning in the context of very high dimensional data (Dagstuhl Seminar 11341).
Dagstuhl Reports, 2011

An evaluation of class knowledge transfer from synthetic to real hyperspectral imagery.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2010
Automated Labeling of Materials in Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2010

Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Learning Multiple Latent Variables with Self-Organizing Maps.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps.
IEEE Trans. Neural Networks, 2009

An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

A novel scheme for the compression and classification of hyperspectral images.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

On the evaluation of synthetic hyperspectral imagery.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Minimum Surface Bhattacharyya feature selection.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Automated labeling of segmented hyperspectral imagery via spectral matching.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Learning Highly Structured Manifolds: Harnessing the Power of SOMs.
Proceedings of the Similarity-Based Clustering, 2009

2008
Relevance-Based Feature Extraction for Hyperspectral Images.
IEEE Trans. Neural Networks, 2008

Machine learning approches and pattern recognition for spectral data.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization.
Proceedings of the Discovery Science, 11th International Conference, 2008

2007
Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data.
IEEE Trans. Neural Networks, 2007

Advances in computational intelligence and learning.
Neurocomputing, 2007

Min(d)ing the small details: discovery of critical knowledge through precision manifold learning, and application to onboard decision support.
Proceedings of the 2nd IEEE International Conference on System of Systems Engineering, 2007

Fuzzy Labeled Self-Organizing Map for Classification of Spectra.
Proceedings of the Computational and Ambient Intelligence, 2007

2006
Weighted differential topographic function: a refinement of topographic function.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Data topology visualization for the Self-Organizing Map.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2004
Mapping Surface Materials on Mars from Mars Pathfinder Spectral Images with HYPEREYE.
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

Forbidden magnification? II.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Forbidden Magnification? I.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Neural maps in remote sensing image analysis.
Neural Networks, 2003

2002
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit.
Proceedings of the Artificial Neural Networks, 2002

1999
The challenges in spectral image analysis: an introduction, and review of ANN approaches.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

Estimating the intrinsic dimensionality of hyperspectral images.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
Hyper-Spectral Satellite Images: Interval Methods May Be Helpful.
Reliab. Comput., 1998

Self-organizing ANNs for planetary surface composition research.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998


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