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Publication search results
found 286 matches
- 2020
- Alfredo Vellido, Karina Gibert, Cecilio Angulo, José David Martín-Guerrero:
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. Advances in Intelligent Systems and Computing 976, Springer 2020, ISBN 978-3-030-19641-7 [contents] - 2019
- Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune:
Soft Subspace Topological Clustering over Evolving Data Stream. WSOM+ 2019: 225-230 - Zefeng Bai, Nitin Jain, Ying Wang, Dominique Haughton:
Using SOM-Based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms. WSOM+ 2019: 90-99 - Adrián Bazaga, Alfredo Vellido:
Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets. WSOM+ 2019: 314-323 - Yann Bernard, Nicolas Hueber, Bernard Girau:
Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking Features. WSOM+ 2019: 100-109 - Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer:
Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework. WSOM+ 2019: 210-221 - David N. Coelho, Guilherme A. Barreto:
Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers. WSOM+ 2019: 241-250 - Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu:
Detection of Abnormal Flights Using Fickle Instances in SOM Maps. WSOM+ 2019: 120-129 - Lars Elend, Oliver Kramer:
Self-Organizing Maps with Convolutional Layers. WSOM+ 2019: 23-32 - Jan Faigl, Milos Prágr:
Incremental Traversability Assessment Learning Using Growing Neural Gas Algorithm. WSOM+ 2019: 166-176 - Jérémy Fix, Hervé Frezza-Buet:
Look and Feel What and How Recurrent Self-Organizing Maps Learn. WSOM+ 2019: 3-12 - Sascha Fleer, Helge J. Ritter:
Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual Attention. WSOM+ 2019: 231-240 - Tina Geweniger, Thomas Villmann:
Variants of Fuzzy Neural Gas. WSOM+ 2019: 261-270 - Bernard Girau, Andres Upegui:
Cellular Self-Organising Maps - CSOM. WSOM+ 2019: 33-43 - Alaa Ali Hameed, Naim Ajlouni, Bekir Karlik:
Robust Adaptive SOMs Challenges in a Varied Datasets Analytics. WSOM+ 2019: 110-119 - Moritz Heusinger, Christoph Raab, Frank-Michael Schleif:
Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization. WSOM+ 2019: 200-209 - Camden Jansen, Ali Mortazavi:
Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps. WSOM+ 2019: 285-293 - Ashutosh Karna, Karina Gibert:
Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors. WSOM+ 2019: 150-159 - 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: 160-165 - Xiaofeng Ma, Michael Kirby, Chris Peterson:
Self-Organizing Mappings on the Flag Manifold. WSOM+ 2019: 13-22 - Gen Niina, Heizo Tokutaka, Masaaki Ohkita, Nobuhiko Kasezawa:
Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis. WSOM+ 2019: 334-339 - 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: 80-89 - Madalina Olteanu, Jean-Charles Lamirel:
When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns. WSOM+ 2019: 140-149 - 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: 294-303 - Maia Rosengarten, Sowmya Ramachandran:
SOM-Based Anomaly Detection and Localization for Space Subsystems. WSOM+ 2019: 57-69 - Lorena A. Santos, Karine Reis Ferreira, Michelle Cristina Araújo Picoli, Gilberto Câmara:
Self-Organizing Maps in Earth Observation Data Cubes Analysis. WSOM+ 2019: 70-79 - Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann:
Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks. WSOM+ 2019: 189-199 - 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: 130-139 - 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: 304-313 - Shannon Stiverson, Michael Kirby, Chris Peterson:
Subspace Quantization on the Grassmannian. WSOM+ 2019: 251-260
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