WSOM+ 2019: 13TH INTERNATIONAL WORKSHOP ON SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION, CLUSTERING AND DATA VISUALIZATION

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Abadi, Fthi	Prototype-based classifiers in the presence of concept drift: A modelling framework
Ajouni, Naim	Robust Adaptive SOMs Challenges in a Varied Datasets Analytics
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Bai, Zefeng	Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
Barreto, Guilherme	LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison Approximate Linear Dependence as a Design Method for Kernel Prototype-based Classifiers
Bernard, Yann	Novelty detection with self-organizing maps for autonomous extraction of salient tracking features
Biehl, Michael	Prototype-based classifiers in the presence of concept drift: A modelling framework
Blazewicz, Jacek	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization
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Camara, Gilberto	Self-Organizing Maps in Earth Observation Data Cubes Analysis
Cavalcante, Charles	LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison
Clapp, Tod	A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
Coelho, David	Approximate Linear Dependence as a Design Method for Kernel Prototype-based Classifiers
Cottrell, Marie	Detection of abnormal flights using fickel instances in SOM maps
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de Dios Alija, Teresa	Competencies in higher education: a feature analysis with self-organizing maps
Drchal, Jan	Autoencoders Covering Space As A Life-Long Classifier
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Eitel, Chad	A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
Elend, Lars	Self-Organizing Maps with Convolutional Layers
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Faigl, Jan	Incremental Traversability Assessment Learning using Growing Neural Gas Algorithm Autoencoders Covering Space As A Life-Long Classifier
Faure, Cynthia	Detection of abnormal flights using fickel instances in SOM maps
Ferreira, Karine Reis	Self-Organizing Maps in Earth Observation Data Cubes Analysis
Fix, Jérémy	Look and feel what and how recurrent self-organizing maps learn
Fleer, Sascha	Solving a tool-based interaction task using deep reinforcement learning with visual attention
Frezza-Buet, Hervé	Look and feel what and how recurrent self-organizing maps learn
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García Tejedor, Álvaro José	Competencies in higher education: a feature analysis with self-organizing maps
Geweniger, Tina	Variants of Fuzzy Neural Gas
Gibert, Karina	Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors
Girau, Bernard	Cellular Self-Organising Maps - CSOM Novelty detection with self-organizing maps for autonomous extraction of salient tracking features
Gutowska, Kaja	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization
Göpfert, Christina	Prototype-based classifiers in the presence of concept drift: A modelling framework
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Hameed, Alaa Ali	Robust Adaptive SOMs Challenges in a Varied Datasets Analytics
Hammer, Barbara	Prototype-based classifiers in the presence of concept drift: A modelling framework
Hanene, Azzag	Soft Subspace Topological Clustering over Evolving Data Stream
Haughton, Dominique	Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
Heusinger, Moritz	Passive Concept Drift handling via Momentum Based Robust Soft Learning Vector Quantization
Holdijk, Lars	Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
Hueber, Nicolas	Novelty detection with self-organizing maps for autonomous extraction of salient tracking features
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Jain, Nitin	Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
Jansen, Camden	Progressive clustering and characterization of increasingly higher dimensional datasets with Living Self-Organizing Maps
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Kaden, Marika	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization Investigation of Activation Functions for Generalized Learning Vector Quantization
Karlik, Bekir	Robust Adaptive SOMs Challenges in a Varied Datasets Analytics
Karna, Ashutosh	Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors
Kasezawa, Nobuhiko	Simultaneous display of front and back sides of spherical SOM for health data analysis
Kirby, Michael	Subspace Quantization on the Grassmannian Self-Organizing Mappings on the Flag Manifold A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
Kramer, Oliver	Self-Organizing Maps with Convolutional Layers
Kudła, Mateusz	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization
Kvinge, Henry	A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
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Lacaille, Jérôme	Detection of abnormal flights using fickel instances in SOM maps
Lamirel, Jean-Charles	When clustering the multiscalar fingerprint of the city reveals its segregation patterns
Lisboa, Paulo	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
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Ma, Xiaofeng	Self-Organizing Mappings on the Flag Manifold
Martín Sanz, Noemy	Competencies in higher education: a feature analysis with self-organizing maps
Medeiros, Cláudio	LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison
Merenyi, Erzsebet	A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering
Mohammed, Ghesmoune	Soft Subspace Topological Clustering over Evolving Data Stream
Mohammed Oualid, Attaoui	Soft Subspace Topological Clustering over Evolving Data Stream
Mortazavi, Ali	Progressive clustering and characterization of increasingly higher dimensional datasets with Living Self-Organizing Maps
Mustapha, Lebbah	Soft Subspace Topological Clustering over Evolving Data Stream
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Nabil, Keskes	Soft Subspace Topological Clustering over Evolving Data Stream
Nebel, David	Investigation of Activation Functions for Generalized Learning Vector Quantization
Niina, Gen	Simultaneous display of front and back sides of spherical SOM for health data analysis
Nogales, Alberto	Competencies in higher education: a feature analysis with self-organizing maps
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Ohkita, Masaaki	Simultaneous display of front and back sides of spherical SOM for health data analysis
Olier, Ivan	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
Olteanu, Madalina	When clustering the multiscalar fingerprint of the city reveals its segregation patterns Detection of abnormal flights using fickel instances in SOM maps
Ortega-Martorell, Sandra	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
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Peterson, Chris	Subspace Quantization on the Grassmannian Self-Organizing Mappings on the Flag Manifold
Peterson, Chris	A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
Picoli, Michelle	Self-Organizing Maps in Earth Observation Data Cubes Analysis
Prágr, Miloš	Incremental Traversability Assessment Learning using Growing Neural Gas Algorithm
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Raab, Christoph	Passive Concept Drift handling via Momentum Based Robust Soft Learning Vector Quantization
Ramachandran, Sowmya	SOM-Based Anomaly Detection & Localization for Space Subsystems
Ravichandran, Jensun	Investigation of Activation Functions for Generalized Learning Vector Quantization
Rea, Marc	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI
Rees, Maike	Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
Riley, Patrick	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
Ritter, Helge	Solving a tool-based interaction task using deep reinforcement learning with visual attention
Rodríguez-Bazaga, Adrián	Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets
Rosengarten, Maia	SOM-Based Anomaly Detection & Localization for Space Subsystems
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Santos, Lorena Alves	Self-Organizing Maps in Earth Observation Data Cubes Analysis
Saralajew, Sascha	Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
Schleif, Frank-Michael	Passive Concept Drift handling via Momentum Based Robust Soft Learning Vector Quantization
Sousa, Diego	LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison
Srivastava, Meenal	Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
Stiverson, Shannon	Subspace Quantization on the Grassmannian
Szadkowski, Rudolf	Autoencoders Covering Space As A Life-Long Classifier
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Taylor, Josh	A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering
Tokutaka, Heizo	Simultaneous display of front and back sides of spherical SOM for health data analysis
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Upegui, Andres	Cellular Self-Organising Maps - CSOM
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Vellido, Alfredo	Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets
Villmann, Andrea	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization Investigation of Activation Functions for Generalized Learning Vector Quantization
Villmann, Thomas	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization Variants of Fuzzy Neural Gas Investigation of Activation Functions for Generalized Learning Vector Quantization Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
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Wang, Ying	Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
Wasik, Szymon	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization

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