Abstract is missing.
- Motivated self-organizationNicolas P. Rougier, Yann Boniface. 9-12 [doi]
- Fault tolerance of self organizing mapsCésar Torres-Huitzil, Oleksandr V. Popovych, Bernard Girau. 13-20 [doi]
- An evolutionary building algorithm for Deep Neural NetworksRyad A. Zemouri. 21-27 [doi]
- Visualizing data sets on the Grassmannian using self-organizing mappingsMichael Kirby, Chris Peterson. 28-33 [doi]
- SOM-empowered graph segmentation for fast automatic clustering of large and complex dataErzsébet Merényi, Joshua Taylor. 34-42 [doi]
- Self-organizing maps as a tool for segmentation of Magnetic Resonance Imaging (MRI) of relapsing-remitting multiple sclerosisPaulo Afonso Mei, Cleyton de Carvalho Carneiro, Michelle Chaves Kuroda, Stephen J. Fraser, Li Li Min, Fabiano Reis. 43-49 [doi]
- Pairwise elastic self-organizing mapsPitoyo Hartono, Yuto Take. 50-56 [doi]
- Using SOMbrero to examine the economic convergence of European countries from 2001-2013Joel I. Deichmann, Abdolreza Eshghi, Dominique Haughton, Mingfei Li. 57-62 [doi]
- Imputation of reactive silica and available alumina in bauxites by self-organizing mapsCleyton 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. 63-68 [doi]
- Fusion of deep learning architectures, multilayer feedforward networks and learning vector quantizers for deep classification learningThomas Villmann, Michael Biehl, Andrea Villmann, Sascha Saralajew. 69-76 [doi]
- Credible visualizations for planar projectionsAlfred Ultsch, Michael C. Thrun. 77-81 [doi]
- Applying the significance degree by SOM to image analysis of fundus using the filter bankNobuo Matsuda, Heizo Tokutaka, Hideaki Sato, Fumiaki Tajima, Reiji Kawata. 82-87 [doi]
- Using self-organizing maps for clustering anc labelling aircraft engine data phasesCynthia Faure, Madalina Olteanu, Jean-Marc Bardet, Jérôme Lacaille. 96-103 [doi]
- Using spatial characteristics to aid automation of SOM segmentation of functional image dataPatrick O'Driscoll, Erzsébet Merényi, Robert G. Grossman. 98-95 [doi]
- Stochastic self-organizing map variants with the R package SOMbreroNathalie Villa-Vialaneix. 104-110 [doi]
- Application of self organizing map to identify nocturnal epileptic seizuresBarbara Pisano, Alessandra Fanni, César Alexandre Teixeira, António Dourado. 111-117 [doi]
- Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMsDavid N. Coelho, Guilherme A. Barreto, Cláudio M. S. Medeiros. 118-124 [doi]
- Self-organizing map for orienteering problem with dubins vehicleJan Faigl. 125-132 [doi]
- An energy-based SOM model not requiring periodic boundary conditionsAlexander Gepperth. 133-138 [doi]
- Prototypes and matrix relevance learning in complex fourier spaceMichiel Straat, Marika Kaden, Matthias Gay, Thomas Villmann, Alexander Lampe, Udo Seiffert, Michael Biehl, Friedrich Melchert. 139-144 [doi]
- Adaptive basis functions for prototype-based classification of functional dataGabriele Bani, Udo Seiffert, Michael Biehl, Friedrich Melchert. 145-152 [doi]
- Incremental learning with self-organizing mapsAlexander Gepperth, Cem Karaoguz. 153-160 [doi]
- Self-organizing maps with supervised layerLudovic Platon, Farida Zehraoui, Fariza Tahi. 161-168 [doi]
- Improving individual predictions using social networks assortativityDounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex Sandy Pentland, Michel Verleysen, Yves-Alexandre de Montjoye. 169-176 [doi]
- Multidimensional urban segregation: An exploratory case studyMarie Cottrell, Madalina Olteanu, Julien Randon-Furling, Aurélien Hazan. 177-183 [doi]
- Metaheuristic optimization for automatic clustering of customer-oriented supply chain dataCésar Lincoln C. Mattos, Guilherme A. Barreto, Dennis Horstkemper, Bernd Hellingrath. 184-191 [doi]
- Small sets of random Fourier features by kernelized Matrix LVQFrank-Michael Schleif. 192-196 [doi]
- Empirical evaluation of gradient methods for matrix learning vector quantizationMichael LeKander, Michael Biehl, Harm de Vries. 197-204 [doi]
- Probabilistic extension and reject options for pairwise LVQJohannes Brinkrolf, Barbara Hammer. 205-212 [doi]
- Spectral regularization in generalized matrix learning vector quantizationDavid Nova, Pablo A. Estévez. 213-219 [doi]
- Data dependent evaluation of dissimilarities in nearest prototype vector quantizers regarding their discriminating abilitiesMarika Kaden, David Nebel, Friedrich Melchert, Andreas Backhaus, Udo Seiffert, Thomas Villmann. 220-226 [doi]
- Nonlinear dynamic identification using supervised neural gas algorithmIván Machón González, Hilario López García. 227-233 [doi]
- Relational and median variants of Possibilistic Fuzzy C-MeansTina Geweniger, Thomas Villmann. 234-240 [doi]
- A strategy for time series prediction using Segment Growing Neural GasJorge R. Vergara, Pablo A. Estévez. 241-248 [doi]
- Rademacher complexity of margin multi-category classifiersYann Guermeur. 249-254 [doi]