Erzsébet Merényi

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 11

Top Topics

Kohonen Self Organizing Map

Stopping Criterion

Machine Learning

Top Venues

Neural Comput. Appl.

Astroinformatics

Publications

Luis Sanchez, Erzsébet Merényi, Christopher D. Tunnell
SOM-based Classification and a Novel Stopping Criterion for Astroparticle Applications. ESANN (2023)
Joshua Taylor, Erzsébet Merényi
Automating t-SNE parameterization with prototype-based learning of manifold connectivity. Neurocomputing 507 (2022)
Joshua Taylor, Erzsébet Merényi
DM-pruning CADJ graphs for SOM clustering. Neural Comput. Appl. 34 (1) (2022)
Joshua Taylor, Erzsébet Merényi
A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity. ESANN (2021)
Erzsébet Merényi, Joshua Taylor
Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data. Neural Comput. Appl. 32 (24) (2020)
Joshua Taylor, Erzsébet Merényi
A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering. WSOM+ (2019)
Patrick O'Driscoll, Erzsébet Merényi, Robert G. Grossman
Using spatial characteristics to aid automation of SOM segmentation of functional image data. WSOM (2017)
Erzsébet Merényi, Joshua Taylor
SOM-empowered graph segmentation for fast automatic clustering of large and complex data. WSOM (2017)
Patrick O'Driscoll, Erzsébet Merényi, Christof Karmonik, Robert G. Grossman
The Effect of SOM Size and Similarity Measure on Identification of Functional and Anatomical Regions in fMRI Data. WSOM (2016)
Erzsébet Merényi, Joshua Taylor, Andrea Isella
Deep data: discovery and visualization Application to hyperspectral ALMA imagery. Astroinformatics (2016)
Erzsébet Merényi, Joshua Taylor, Andrea Isella
Mining complex hyperspectral ALMA cubes for structure with neural machine learning. SSCI (2016)
Devis Tuia, Erzsébet Merényi, Xiuping Jia, Manuel Graña Romay
Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (4) (2014)
Patrick O'Driscoll, Erzsébet Merényi, Christof Karmonik, Robert G. Grossman
SOM and MCODE methods of defining functional clusters in MRI of the brain. EMBC (2014)
Erzsébet Merényi
The Sky Is Not the Limit. WSOM (2014)
Erzsébet Merényi, William H. Farrand, James V. Taranik, Timothy B. Minor
Classification of hyperspectral imagery with neural networks: comparison to conventional tools. EURASIP J. Adv. Signal Process. 2014 (2014)
Jan Lachmair, Erzsébet Merényi, Mario Porrmann, Ulrich Rückert
A reconfigurable neuroprocessor for self-organizing feature maps. Neurocomputing 112 (2013)
Brian D. Bue, Erzsébet Merényi
An Adaptive Similarity Measure for Classification of Hyperspectral Signatures. IEEE Geosci. Remote. Sens. Lett. 10 (2) (2013)
Ulrich Rückert, Erzsébet Merényi
Parallel neural hardware: the time is right. ESANN (2012)
Thomas Villmann, Erzsébet Merényi, William H. Farrand
Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps. ESANN (2012)
Jan Lachmair, Erzsébet Merényi, Mario Porrmann, Ulrich Rückert
gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps. ESANN (2012)
Kadim Tasdemir, Erzsébet Merényi
A Validity Index for Prototype-Based Clustering of Data Sets With Complex Cluster Structures. IEEE Trans. Syst. Man Cybern. Part B 41 (4) (2011)
Brian D. Bue, Erzsébet Merényi, Beáta Csathó
An evaluation of class knowledge transfer from synthetic to real hyperspectral imagery. WHISPERS (2011)
Michael Biehl, Barbara Hammer, Erzsébet Merényi, Alessandro Sperduti, Thomas Villmann
Learning in the context of very high dimensional data (Dagstuhl Seminar 11341). Dagstuhl Reports 1 (8) (2011)
Brian D. Bue, Erzsébet Merényi
Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data. WHISPERS (2010)
Lili Zhang, Erzsébet Merényi
Learning Multiple Latent Variables with Self-Organizing Maps. GrC (2010)
Brian D. Bue, Erzsébet Merényi, Beáta Csathó
Automated Labeling of Materials in Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 48 (11) (2010)
Brian D. Bue, Erzsébet Merényi, Beáta Csathó
Automated labeling of segmented hyperspectral imagery via spectral matching. WHISPERS (2009)
Kadim Tasdemir, Erzsébet Merényi
Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps. IEEE Trans. Neural Networks 20 (4) (2009)
Michael J. Mendenhall, Erzsébet Merényi
On the evaluation of synthetic hyperspectral imagery. WHISPERS (2009)
Erzsébet Merényi, Kadim Tasdemir, Lili Zhang
Learning Highly Structured Manifolds: Harnessing the Power of SOMs. Similarity-Based Clustering (2009)
Bei Xie, Tamal Bose, Erzsébet Merényi
A novel scheme for the compression and classification of hyperspectral images. WHISPERS (2009)
Jose Andres Gonzalez, Michael J. Mendenhall, Erzsébet Merényi
Minimum Surface Bhattacharyya feature selection. WHISPERS (2009)
Lili Zhang, Erzsébet Merényi, William M. Grundy, Eliot F. Young
An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra. WSOM (2009)
Thomas Villmann, Erzsébet Merényi, Udo Seiffert
Machine learning approches and pattern recognition for spectral data. ESANN (2008)
Kadim Tasdemir, Erzsébet Merényi
Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization. Discovery Science (2008)
Michael J. Mendenhall, Erzsébet Merényi
Relevance-Based Feature Extraction for Hyperspectral Images. IEEE Trans. Neural Networks 19 (4) (2008)
Michael Biehl, Erzsébet Merényi, Fabrice Rossi
Advances in computational intelligence and learning. Neurocomputing 70 (7-9) (2007)
Erzsébet Merényi, Abha Jain, Thomas Villmann
Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data. IEEE Trans. Neural Networks 18 (3) (2007)
Erzsébet Merényi, Lili Zhang, Kadim Tasdemir
Min(d)ing the small details: discovery of critical knowledge through precision manifold learning, and application to onboard decision support. SoSE (2007)
Thomas Villmann, Frank-Michael Schleif, Erzsébet Merényi, Barbara Hammer
Fuzzy Labeled Self-Organizing Map for Classification of Spectra. IWANN (2007)
Kadim Tasdemir, Erzsébet Merényi
Data topology visualization for the Self-Organizing Map. ESANN (2006)
Lili Zhang, Erzsébet Merényi
Weighted differential topographic function: a refinement of topographic function. ESANN (2006)
Erzsébet Merényi, Abha Jain
Forbidden magnification? II. ESANN (2004)
Abha Jain, Erzsébet Merényi
Forbidden Magnification? I. ESANN (2004)
Erzsébet Merényi, William H. Farrand, Philip Tracadas
Mapping Surface Materials on Mars from Mars Pathfinder Spectral Images with HYPEREYE. ITCC (2) (2004)
Thomas Villmann, Erzsébet Merényi, Barbara Hammer
Neural maps in remote sensing image analysis. Neural Networks 16 (3-4) (2003)
Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. ICANN (2002)
Erzsébet Merényi
The challenges in spectral image analysis: an introduction, and review of ANN approaches. ESANN (1999)
Jörg Bruske, Erzsébet Merényi
Estimating the intrinsic dimensionality of hyperspectral images. ESANN (1999)
Erzsébet Merényi
Self-organizing ANNs for planetary surface composition research. ESANN (1998)
Erzsébet Merényi, Scott A. Starks, Karen Villaverde
Hyper-Spectral Satellite Images: Interval Methods May Be Helpful. Reliab. Comput. 4 (4) (1998)