Barbara Hammer et al- Self-Organizing Maps for Time Series

Katharina Tluk v. Toschanowitz, Barbara Hammer and Helge Ritter- Mapping the Design Space of Reinforcement Learning Problems – a Case Study

Thomas Villmann, Frank-Michael Schleif and Barbara Hammer- Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning

Marie Cottrell et al- Batch neural gas

Michael Biehl, Anarta Ghosh and Barbara Hammer- Dynamics and generalization ability of LVQ algorithms

Barbara Hammer, Alexander Hasenfuss and Thomas Villmann- Magnification control for batch neural gas

Anarta Ghosh, Michael Biehl and Barbara Hammer- Dynamical analysis of LVQ type learning rules

Michael Biehl, Anarta Ghosh and Barbara Hammer- Learning Vector Quantization: The Dynamics of Winner-Takes-All Algorithms

Anarta Ghosh, Michael Biehl and Barbara Hammer- Performance Analysis of LVQ Algorithms: A Statistical Physics Approach

Marc Strickert and Barbara Hammer- Self-Organizing Context Learning

Marie Cottrell, Barbara Hammer, Alexander Hasenfuß and Thomas Villmann- Batch and median neural gas

Marc Strickert et al- Generalized Relevance LVQ (GRLVQ) with Correlation Measures for Gene Expression Analysis

Barbara Hammer, Alessio Micheli and Alessandro Sperduti- Universal Approximation Capability of Cascade Correlation for Structures

Marc Strickert and Barbara Hammer- Neural Gas for Sequences

Barbara Hammer, Frank-Michael Schleif and Thomas Villmann- On the generalization ability of prototype-based classifiers with local relevance determination

Marc Strickert and Barbara Hammer- Merge SOM for temporal data

Barbara Hammer et al- Recursive self-organizing network models

Robert Odorico- Learning Vector Quantization with Training Count (LVQTC)

Marc Strickert, Barbara Hammer and Sebastian Blohm- Unsupervised Recursive Sequence Processing

P.A. Estevez, R. Hernandez, C.A. Perez and C.M. Held- Gamma-filter self-organising neural networks for unsupervised sequence processing