List of works - Barbara Hammer

A General Framework for Dimensionality-Reducing Data Visualization Mapping

A general framework for unsupervised processing of structured data

Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data

scientific article published in March 2010

Adaptive relevance matrices in learning vector quantization

scientific article published in December 2009

Batch and median neural gas.

scientific article published on 19 June 2006

Best of both, Structured and Unstructured Sparsity in Neural Networks

scientific article published on 04 May 2023

Cancer informatics by prototype networks in mass spectrometry.

scientific article

Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods.

scientific article

Comparison of relevance learning vector quantization with other metric adaptive classification methods.

scientific article

Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning

scientific article published on 25 March 2019

Dimensionality reduction mappings

scientific article published in April 2011

Distance learning in discriminative vector quantization

scientific article published in October 2009

Efficient Kernelized prototype based classification

scientific article published in December 2011

Functional relevance learning in generalized learning vector quantization

scientific article published in August 2012

Fuzzy classification by fuzzy labeled neural gas.

scientific article published on 3 July 2006

Generalized relevance learning vector quantization.

scientific article published in October 2002

Hyperparameter learning in probabilistic prototype-based models

scientific article published in March 2010

Learning dynamics and robustness of vector quantization and neural gas

scientific article published in March 2008

Learning vector quantization for (dis-)similarities

Learning vector quantization: The dynamics of winner-takes-all algorithms

scientific article published in March 2006

Limited Rank Matrix Learning, discriminative dimension reduction and visualization.

scientific article published on 17 October 2011

Linear time relational prototype based learning

scientific article published on 29 August 2012

Local matrix learning in clustering and applications for manifold visualization

scientific article

Neighbor embedding XOM for dimension reduction and visualization

scientific article published in April 2011

Neural maps in remote sensing image analysis

scientific article published in April 2003

Odor recognition in robotics applications by discriminative time-series modeling

scientific article published on 8 January 2015

On the Generalization Ability of GRLVQ Networks

Performance analysis of LVQ algorithms: a statistical physics approach.

scientific article published on 16 June 2006

Preface: Intelligent interactive data visualization

scholarly article by Barbara Hammer et al published 13 April 2013 in Data Mining and Knowledge Discovery

Prototype-based models in machine learning

scientific article

Recursive self-organizing network models.

scientific article

Regularization in matrix relevance learning.

scientific article

Reservoir Memory Machines as Neural Computers

scientific article published in 2022

Special issue on neural networks and kernel methods for structured domains.

scientific article published on 22 September 2005

Statistical Mechanics of On-Line Learning Under Concept Drift

scientific article published on 10 October 2018

Topographic mapping of large dissimilarity data sets

scientific article

Universal Approximation Capability of Cascade Correlation for Structures

Window-based example selection in learning vector quantization.

scientific article published in November 2010

acdc - Automated Contamination Detection and Confidence estimation for single-cell genome data.

scientific article

flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometry.

scientific article published on 15 February 2018

List of works by Barbara Hammer

A General Framework for Dimensionality-Reducing Data Visualization Mapping

A general framework for unsupervised processing of structured data

Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data

Adaptive relevance matrices in learning vector quantization

Batch and median neural gas.

Best of both, Structured and Unstructured Sparsity in Neural Networks

Cancer informatics by prototype networks in mass spectrometry.

Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods.

Comparison of relevance learning vector quantization with other metric adaptive classification methods.

Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning

Dimensionality reduction mappings

Distance learning in discriminative vector quantization

Efficient Kernelized prototype based classification

Functional relevance learning in generalized learning vector quantization

Fuzzy classification by fuzzy labeled neural gas.

Generalized relevance learning vector quantization.

Hyperparameter learning in probabilistic prototype-based models

Learning dynamics and robustness of vector quantization and neural gas

Learning vector quantization for (dis-)similarities

Learning vector quantization: The dynamics of winner-takes-all algorithms

Limited Rank Matrix Learning, discriminative dimension reduction and visualization.

Linear time relational prototype based learning

Local matrix learning in clustering and applications for manifold visualization

Neighbor embedding XOM for dimension reduction and visualization

Neural maps in remote sensing image analysis

Odor recognition in robotics applications by discriminative time-series modeling

On the Generalization Ability of GRLVQ Networks

Performance analysis of LVQ algorithms: a statistical physics approach.

Preface: Intelligent interactive data visualization

Prototype-based models in machine learning

Recursive self-organizing network models.

Regularization in matrix relevance learning.

Reservoir Memory Machines as Neural Computers

Special issue on neural networks and kernel methods for structured domains.

Statistical Mechanics of On-Line Learning Under Concept Drift

Topographic mapping of large dissimilarity data sets

Universal Approximation Capability of Cascade Correlation for Structures

Window-based example selection in learning vector quantization.

acdc - Automated Contamination Detection and Confidence estimation for single-cell genome data.

flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometry.