WSOM

Keyphrases

Publications

2017

Alexander Gepperth
An energy-based SOM model not requiring periodic boundary conditions. WSOM (2017)
Michiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert
Prototypes and matrix relevance learning in complex fourier space. WSOM (2017)
Yann Guermeur
Rademacher complexity of margin multi-category classifiers. WSOM (2017)
Michael Kirby, Chris Peterson
Visualizing data sets on the Grassmannian using self-organizing mappings. WSOM (2017)
Nobuo Matsuda, Heizo Tokutaka, Hideaki Sato, Fumiaki Tajima, Reiji Kawata
Applying the significance degree by SOM to image analysis of fundus using the filter bank. WSOM (2017)
Jorge R. Vergara, Pablo A. Estévez
A strategy for time series prediction using Segment Growing Neural Gas. WSOM (2017)
Erzsébet Merényi, Joshua Taylor
SOM-empowered graph segmentation for fast automatic clustering of large and complex data. WSOM (2017)
César Torres-Huitzil, Oleksandr V. Popovych, Bernard Girau
Fault tolerance of self organizing maps. WSOM (2017)
David N. Coelho, Guilherme A. Barreto, Cláudio M. S. Medeiros
Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs. WSOM (2017)
Joel I. Deichmann, Abdolreza Eshghi, Dominique Haughton, Mingfei Li
Using SOMbrero to examine the economic convergence of European countries from 2001-2013. WSOM (2017)
David Nova, Pablo A. Estévez
Spectral regularization in generalized matrix learning vector quantization. WSOM (2017)
Nicolas P. Rougier, Yann Boniface
Motivated self-organization. WSOM (2017)
Marie Cottrell, Madalina Olteanu, Julien Randon-Furling, Aurélien Hazan
Multidimensional urban segregation: An exploratory case study. WSOM (2017)
Pitoyo Hartono, Yuto Take
Pairwise elastic self-organizing maps. WSOM (2017)
Jan Faigl
Self-organizing map for orienteering problem with dubins vehicle. WSOM (2017)
Cynthia Faure, Madalina Olteanu, Jean-Marc Bardet, Jérôme Lacaille
Using self-organizing maps for clustering anc labelling aircraft engine data phases. WSOM (2017)
Ryad A. Zemouri
An evolutionary building algorithm for Deep Neural Networks. WSOM (2017)
Tina Geweniger, Thomas Villmann
Relational and median variants of Possibilistic Fuzzy C-Means. WSOM (2017)
César Lincoln C. Mattos, Guilherme A. Barreto, Dennis Horstkemper, Bernd Hellingrath
Metaheuristic optimization for automatic clustering of customer-oriented supply chain data. WSOM (2017)
Ludovic Platon, Farida Zehraoui, Fariza Tahi
Self-organizing maps with supervised layer. WSOM (2017)
Thomas Villmann, Michael Biehl, Andrea Villmann, Sascha Saralajew
Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learning. WSOM (2017)
Marika Kaden, David Nebel, Friedrich Melchert, Andreas Backhaus, Udo Seiffert, Thomas Villmann
Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilities. WSOM (2017)
Iván Machón González, Hilario López García
Nonlinear dynamic identification using supervised neural gas algorithm. WSOM (2017)
Cleyton de Carvalho Carneiro, Dayana Niazabeth Del Valle Silva Yanez, Carina Ulsen, Stephen J. Fraser, Juliana Livi Antoniassi, Simone P. A. Paz, Romulo Simoes Angelica, Henrique Kahn
Imputation of reactive silica and available alumina in bauxites by self-organizing maps. WSOM (2017)
Gabriele Bani, Udo Seiffert, Michael Biehl, Friedrich Melchert
Adaptive basis functions for prototype-based classification of functional data. WSOM (2017)
Johannes Brinkrolf, Barbara Hammer
Probabilistic extension and reject options for pairwise LVQ. WSOM (2017)
Patrick O'Driscoll, Erzsébet Merényi, Robert G. Grossman
Using spatial characteristics to aid automation of SOM segmentation of functional image data. WSOM (2017)
Frank-Michael Schleif
Small sets of random Fourier features by kernelized Matrix LVQ. WSOM (2017)
Michael LeKander, Michael Biehl, Harm de Vries
Empirical evaluation of gradient methods for matrix learning vector quantization. WSOM (2017)
Alexander Gepperth, Cem Karaoguz
Incremental learning with self-organizing maps. WSOM (2017)
Paulo Afonso Mei, Cleyton de Carvalho Carneiro, Michelle Chaves Kuroda, Stephen J. Fraser, Li Li Min, Fabiano Reis
Self-organizing maps as a tool for segmentation of Magnetic Resonance Imaging (MRI) of relapsing-remitting multiple sclerosis. WSOM (2017)
Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex 'Sandy' Pentland, Michel Verleysen, Yves-Alexandre de Montjoye
Improving individual predictions using social networks assortativity. WSOM (2017)
12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017 WSOM (2017)
Barbara Pisano, Alessandra Fanni, César Alexandre Teixeira, António Dourado
Application of self organizing map to identify nocturnal epileptic seizures. WSOM (2017)
Alfred Ultsch, Michael C. Thrun
Credible visualizations for planar projections. WSOM (2017)
Nathalie Villa-Vialaneix
Stochastic self-organizing map variants with the R package SOMbrero. WSOM (2017)

2016

volume 428, 2016

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 428 (2016)