Erzsébet Merényi

52 papers B 14C 1Misc 2Journal 16Unranked 18

Year	Rank	Type	Title / Venue / Authors
2023	B	`conf`	SOM-based Classification and a Novel Stopping Criterion for Astroparticle Applications. ESANN Luis Sanchez, Erzsébet Merényi, Christopher D. Tunnell
2022	J	`jnl`	Automating t-SNE parameterization with prototype-based learning of manifold connectivity. Neurocomputing Joshua Taylor, Erzsébet Merényi
2022	J	`jnl`	DM-pruning CADJ graphs for SOM clustering. Neural Comput. Appl. Joshua Taylor, Erzsébet Merényi
2021	B	`conf`	A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity. ESANN Joshua Taylor, Erzsébet Merényi
2020	J	`jnl`	Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data. Neural Comput. Appl. Erzsébet Merényi, Joshua Taylor
2019	—	`conf`	A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering. WSOM+ Joshua Taylor, Erzsébet Merényi
2017	—	`conf`	SOM-empowered graph segmentation for fast automatic clustering of large and complex data. WSOM Erzsébet Merényi, Joshua Taylor
2017	—	`conf`	Using spatial characteristics to aid automation of SOM segmentation of functional image data. WSOM Patrick O'Driscoll, Erzsébet Merényi, Robert G. Grossman
2016	—	`ed.`	Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 WSOM Erzsébet Merényi, Michael J. Mendenhall, Patrick O'Driscoll
2016	—	`conf`	Deep data: discovery and visualization Application to hyperspectral ALMA imagery. Astroinformatics Erzsébet Merényi, Joshua Taylor, Andrea Isella
2016	—	`conf`	Mining complex hyperspectral ALMA cubes for structure with neural machine learning. SSCI Erzsébet Merényi, Joshua Taylor, Andrea Isella
2016	—	`conf`	The Effect of SOM Size and Similarity Measure on Identification of Functional and Anatomical Regions in fMRI Data. WSOM Patrick O'Driscoll, Erzsébet Merényi, Christof Karmonik, Robert G. Grossman
2014	J	`jnl`	Classification of hyperspectral imagery with neural networks: comparison to conventional tools. EURASIP J. Adv. Signal Process. Erzsébet Merényi, William H. Farrand, James V. Taranik, Timothy B. Minor
2014	J	`jnl`	Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Devis Tuia, Erzsébet Merényi, Xiuping Jia, Manuel Graña Romay
2014	—	`conf`	SOM and MCODE methods of defining functional clusters in MRI of the brain. EMBC Patrick O'Driscoll, Erzsébet Merényi, Christof Karmonik, Robert G. Grossman
2014	—	`conf`	The Sky Is Not the Limit. WSOM Erzsébet Merényi
2013	J	`jnl`	A reconfigurable neuroprocessor for self-organizing feature maps. Neurocomputing Jan Lachmair, Erzsébet Merényi, Mario Porrmann, Ulrich Rückert
2013	J	`jnl`	An Adaptive Similarity Measure for Classification of Hyperspectral Signatures. IEEE Geosci. Remote. Sens. Lett. Brian D. Bue, Erzsébet Merényi
2012	B	`conf`	Parallel neural hardware: the time is right. ESANN Ulrich Rückert, Erzsébet Merényi
2012	B	`conf`	Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps. ESANN Thomas Villmann, Erzsébet Merényi, William H. Farrand
2012	B	`conf`	gNBXe - a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps. ESANN Jan Lachmair, Erzsébet Merényi, Mario Porrmann, Ulrich Rückert
2011	J	`jnl`	A Validity Index for Prototype-Based Clustering of Data Sets With Complex Cluster Structures. IEEE Trans. Syst. Man Cybern. Part B Kadim Tasdemir, Erzsébet Merényi
2011	—	`conf`	An evaluation of class knowledge transfer from synthetic to real hyperspectral imagery. WHISPERS Brian D. Bue, Erzsébet Merényi, Beáta Csathó
2011	J	`jnl`	Learning in the context of very high dimensional data (Dagstuhl Seminar 11341). Dagstuhl Reports Michael Biehl, Barbara Hammer, Erzsébet Merényi, Alessandro Sperduti, Thomas Villmann
2010	J	`jnl`	Automated Labeling of Materials in Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. Brian D. Bue, Erzsébet Merényi, Beáta Csathó
2010	Misc	`conf`	Learning Multiple Latent Variables with Self-Organizing Maps. GrC Lili Zhang, Erzsébet Merényi
2010	—	`conf`	Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data. WHISPERS Brian D. Bue, Erzsébet Merényi
2009	—	`conf`	A novel scheme for the compression and classification of hyperspectral images. WHISPERS Bei Xie, Tamal Bose, Erzsébet Merényi
2009	—	`conf`	An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra. WSOM Lili Zhang, Erzsébet Merényi, William M. Grundy, Eliot F. Young
2009	—	`conf`	Automated labeling of segmented hyperspectral imagery via spectral matching. WHISPERS Brian D. Bue, Erzsébet Merényi, Beáta Csathó
2009	J	`jnl`	Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps. IEEE Trans. Neural Networks Kadim Tasdemir, Erzsébet Merényi
2009	—	`conf`	Learning Highly Structured Manifolds: Harnessing the Power of SOMs. Similarity-Based Clustering Erzsébet Merényi, Kadim Tasdemir, Lili Zhang
2009	—	`conf`	Minimum Surface Bhattacharyya feature selection. WHISPERS Jose Andres Gonzalez, Michael J. Mendenhall, Erzsébet Merényi
2009	—	`conf`	On the evaluation of synthetic hyperspectral imagery. WHISPERS Michael J. Mendenhall, Erzsébet Merényi
2008	B	`conf`	Cluster Analysis in Remote Sensing Spectral Imagery through Graph Representation and Advanced SOM Visualization. Discovery Science Kadim Tasdemir, Erzsébet Merényi
2008	B	`conf`	Machine learning approches and pattern recognition for spectral data. ESANN Thomas Villmann, Erzsébet Merényi, Udo Seiffert
2008	J	`jnl`	Relevance-Based Feature Extraction for Hyperspectral Images. IEEE Trans. Neural Networks Michael J. Mendenhall, Erzsébet Merényi
2007	J	`jnl`	Advances in computational intelligence and learning. Neurocomputing Michael Biehl, Erzsébet Merényi, Fabrice Rossi
2007	J	`jnl`	Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data. IEEE Trans. Neural Networks Erzsébet Merényi, Abha Jain, Thomas Villmann
2007	Misc	`conf`	Fuzzy Labeled Self-Organizing Map for Classification of Spectra. IWANN Thomas Villmann, Frank-Michael Schleif, Erzsébet Merényi, Barbara Hammer
2007	—	`conf`	Min(d)ing the small details: discovery of critical knowledge through precision manifold learning, and application to onboard decision support. SoSE Erzsébet Merényi, Lili Zhang, Kadim Tasdemir
2006	B	`conf`	Data topology visualization for the Self-Organizing Map. ESANN Kadim Tasdemir, Erzsébet Merényi
2006	B	`conf`	Weighted differential topographic function: a refinement of topographic function. ESANN Lili Zhang, Erzsébet Merényi
2004	B	`conf`	Forbidden Magnification? I. ESANN Abha Jain, Erzsébet Merényi
2004	B	`conf`	Forbidden magnification? II. ESANN Erzsébet Merényi, Abha Jain
2004	—	`conf`	Mapping Surface Materials on Mars from Mars Pathfinder Spectral Images with HYPEREYE. ITCC (2) Erzsébet Merényi, William H. Farrand, Philip Tracadas
2003	J	`jnl`	Neural maps in remote sensing image analysis. Neural Networks Thomas Villmann, Erzsébet Merényi, Barbara Hammer
2002	C	`conf`	Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. ICANN Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi
1999	B	`conf`	Estimating the intrinsic dimensionality of hyperspectral images. ESANN Jörg Bruske, Erzsébet Merényi
1999	B	`conf`	The challenges in spectral image analysis: an introduction, and review of ANN approaches. ESANN Erzsébet Merényi
1998	J	`jnl`	Hyper-Spectral Satellite Images: Interval Methods May Be Helpful. Reliab. Comput. Erzsébet Merényi, Scott A. Starks, Karen Villaverde
1998	B	`conf`	Self-organizing ANNs for planetary surface composition research. ESANN Erzsébet Merényi