Andrej Gisbrecht

According to our database, Andrej Gisbrecht authored at least 42 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Graph Representation and Embedding for Semiconductor Manufacturing Fab States.

Benedikt Schulz, Christoph Jacobi, Andrej Gisbrecht, Angelidis Evangelos, Chew Wye Chan, Boon Ping Gan

Proceedings of the Winter Simulation Conference, 2022

2018

Supervised low rank indefinite kernel approximation using minimum enclosing balls.

Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño

Neurocomputing, 2018

2016

Probabilistic classifiers with low rank indefinite kernels.

Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño

CoRR, 2016

2015

Data visualization by nonlinear dimensionality reduction.

Andrej Gisbrecht, Barbara Hammer

WIREs Data Mining Knowl. Discov., 2015

Using Discriminative Dimensionality Reduction to Visualize Classifiers.

Alexander Schulz, Andrej Gisbrecht, Barbara Hammer

Neural Process. Lett., 2015

Efficient approximations of robust soft learning vector quantization for non-vectorial data.

Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer

Neurocomputing, 2015

Parametric nonlinear dimensionality reduction using kernel t-SNE.

Andrej Gisbrecht, Alexander Schulz, Barbara Hammer

Neurocomputing, 2015

Metric and non-metric proximity transformations at linear costs.

Andrej Gisbrecht, Frank-Michael Schleif

Neurocomputing, 2015

Large Scale Indefinite Kernel Fisher Discriminant.

Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño

Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Probabilistic Classification Vector Machine at large scale.

Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Advances in dissimilarity-based data visualisation.

Andrej Gisbrecht

PhD thesis, 2015

2014

Innovationen für die distanzbasierte Datenvisualisierung.

Andrej Gisbrecht

Proceedings of the Ausgezeichnete Informatikdissertationen 2014, 2014

Relevance Learning for Dimensionality Reduction.

Alexander Schulz, Andrej Gisbrecht, Barbara Hammer

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Visualizing the quality of dimensionality reduction.

Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer

Neurocomputing, 2013

Data Analysis of (Non-)Metric Proximities at Linear Costs.

Frank-Michael Schleif, Andrej Gisbrecht

Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Using Nonlinear Dimensionality Reduction to Visualize Classifiers.

Alexander Schulz, Andrej Gisbrecht, Barbara Hammer

Proceedings of the Advances in Computational Intelligence, 2013

Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples.

Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba

Proceedings of the 17th International Conference on Information Visualisation, 2013

Applications of Discriminative Dimensionality Reduction.

Barbara Hammer, Andrej Gisbrecht, Alexander Schulz

Proceedings of the ICPRAM 2013, 2013

Discriminative Dimensionality Reduction for the Visualization of Classifiers.

Andrej Gisbrecht, Alexander Schulz, Barbara Hammer

Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Visualizing dependencies of spectral features using mutual information.

Andrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Approximation techniques for clustering dissimilarity data.

Xibin Zhu, Andrej Gisbrecht, Frank-Michael Schleif, Barbara Hammer

Neurocomputing, 2012

Linear Time Relational Prototype Based Learning.

Andrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer

Int. J. Neural Syst., 2012

Efficient Approximations of Kernel Robust Soft LVQ.

Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

How to Visualize Large Data Sets?

Barbara Hammer, Andrej Gisbrecht, Alexander Schulz

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Relevance learning for short high-dimensional time series in the life sciences.

Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Linear basis-function t-SNE for fast nonlinear dimensionality reduction.

Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Discriminative Dimensionality Reduction Mappings.

Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Fast approximated relational and kernel clustering.

Frank-Michael Schleif, Xibin Zhu, Andrej Gisbrecht, Barbara Hammer

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning Relevant Time Points for Time-Series Data in the Life Sciences.

Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Dürr, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Visualizing the quality of dimensionality reduction.

Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Relevance learning for time series inspection.

Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Out-of-sample kernel extensions for nonparametric dimensionality reduction.

Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Relational generative topographic mapping.

Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer

Neurocomputing, 2011

Relevance learning in generative topographic mapping.

Andrej Gisbrecht, Barbara Hammer

Neurocomputing, 2011

Supervised learning of short and high-dimensional temporal sequences for life science measurements

Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer

CoRR, 2011

Topographic Mapping of Dissimilarity Data.

Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Linear Time Heuristics for Topographic Mapping of Dissimilarity Data.

Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Accelerating Kernel Neural Gas.

Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Accelerating kernel clustering for biomedical data analysis.

Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011

2010

Visualizing Dissimilarity Data Using Generative Topographic Mapping.

Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

Relational Generative Topographic Map.

Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Relevance learning in generative topographic maps.

Andrej Gisbrecht, Barbara Hammer

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010