WSOM+

Publications

volume 976, 2020

Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019 WSOM+ 976 (2020)

2019

Moritz Heusinger, Christoph Raab, Frank-Michael Schleif
Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization. WSOM+ (2019)
Lars Elend, Oliver Kramer
Self-Organizing Maps with Convolutional Layers. WSOM+ (2019)
Jérémy Fix, Hervé Frezza-Buet
Look and Feel What and How Recurrent Self-Organizing Maps Learn. WSOM+ (2019)
Diego P. Sousa, Guilherme A. Barreto, Charles C. Cavalcante, Cláudio M. S. Medeiros
LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison. WSOM+ (2019)
Shannon Stiverson, Michael Kirby, Chris Peterson
Subspace Quantization on the Grassmannian. WSOM+ (2019)
Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu
Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ (2019)
Patrick Riley, Iván Olier, Marc Rea, Paulo Lisboa, Sandra Ortega-Martorell
A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. WSOM+ (2019)
David N. Coelho, Guilherme A. Barreto
Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers. WSOM+ (2019)
Meenal Srivastava, Iván Olier, Patrick Riley, Paulo Lisboa, Sandra Ortega-Martorell
Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer. WSOM+ (2019)
Sascha Fleer, Helge J. Ritter
Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual Attention. WSOM+ (2019)
Camden Jansen, Ali Mortazavi
Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps. WSOM+ (2019)
Gen Niina, Heizo Tokutaka, Masaaki Ohkita, Nobuhiko Kasezawa
Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis. WSOM+ (2019)
Xiaofeng Ma, Michael Kirby, Chris Peterson
Self-Organizing Mappings on the Flag Manifold. WSOM+ (2019)
Yann Bernard, Nicolas Hueber, Bernard Girau
Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking Features. WSOM+ (2019)
Rudolf J. Szadkowski, Jan Drchal, Jan Faigl
Autoencoders Covering Space as a Life-Long Classifier. WSOM+ (2019)
Zefeng Bai, Nitin Jain, Ying Wang, Dominique Haughton
Using SOM-Based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms. WSOM+ (2019)
Henry Kvinge, Michael Kirby, Chris Peterson, Chad Eitel, Tod Clapp
A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data. WSOM+ (2019)
Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer
Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework. WSOM+ (2019)
Madalina Olteanu, Jean-Charles Lamirel
When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns. WSOM+ (2019)
Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann
Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks. WSOM+ (2019)
Thomas Villmann, Marika Kaden, Szymon Wasik, Mateusz Kudla, Kaja Gutowska, Andrea Villmann, Jacek Blazewicz
Searching for the Origins of Life - Detecting RNA Life Signatures Using Learning Vector Quantization. WSOM+ (2019)
Alaa Ali Hameed, Naim Ajlouni, Bekir Karlik
Robust Adaptive SOMs Challenges in a Varied Datasets Analytics. WSOM+ (2019)
Maia Rosengarten, Sowmya Ramachandran
SOM-Based Anomaly Detection and Localization for Space Subsystems. WSOM+ (2019)
Bernard Girau, Andres Upegui
Cellular Self-Organising Maps - CSOM. WSOM+ (2019)
Adrián Bazaga, Alfredo Vellido
Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets. WSOM+ (2019)
Jan Faigl, Milos Prágr
Incremental Traversability Assessment Learning Using Growing Neural Gas Algorithm. WSOM+ (2019)
Lorena A. Santos, Karine Reis Ferreira, Michelle Cristina Araújo Picoli, Gilberto Câmara
Self-Organizing Maps in Earth Observation Data Cubes Analysis. WSOM+ (2019)
Joshua Taylor, Erzsébet Merényi
A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering. WSOM+ (2019)
Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
Soft Subspace Topological Clustering over Evolving Data Stream. WSOM+ (2019)
Tina Geweniger, Thomas Villmann
Variants of Fuzzy Neural Gas. WSOM+ (2019)
Ashutosh Karna, Karina Gibert
Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors. WSOM+ (2019)
Thomas Villmann, Jensun Ravichandran, Andrea Villmann, David Nebel, Marika Kaden
Investigation of Activation Functions for Generalized Learning Vector Quantization. WSOM+ (2019)
Alberto Nogales, Álvaro José García-Tejedor, Noemy Martín Sanz, Teresa de Dios Alija
Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps. WSOM+ (2019)