Andrej Gisbrecht

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 3

Top Venues

Neurocomputing

ESANN

CoRR

SIMBAD

Universität Bielefeld (PHD)

Education History

Universität Bielefeld

PHD

Publications

Benedikt Schulz, Christoph Jacobi, Andrej Gisbrecht, Angelidis Evangelos, Chew Wye Chan, Boon Ping Gan
Graph Representation and Embedding for Semiconductor Manufacturing Fab States. WSC (2022)
Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño
Supervised low rank indefinite kernel approximation using minimum enclosing balls. Neurocomputing 318 (2018)
Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño
Probabilistic classifiers with low rank indefinite kernels. CoRR (2016)
Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño
Probabilistic Classification Vector Machine at large scale. ESANN (2015)
Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing 147 (2015)
Andrej Gisbrecht, Frank-Michael Schleif
Metric and non-metric proximity transformations at linear costs. Neurocomputing 167 (2015)
Andrej Gisbrecht, Barbara Hammer
Data visualization by nonlinear dimensionality reduction. WIREs Data Mining Knowl. Discov. 5 (2) (2015)
Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
Efficient approximations of robust soft learning vector quantization for non-vectorial data. Neurocomputing 147 (2015)
Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Process. Lett. 42 (1) (2015)
Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño
Large Scale Indefinite Kernel Fisher Discriminant. SIMBAD (2015)
Andrej Gisbrecht
Innovationen für die distanzbasierte Datenvisualisierung. Ausgezeichnete Informatikdissertationen (2014)
Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
Relevance Learning for Dimensionality Reduction. ESANN (2014)
Andrej Gisbrecht, Frank-Michael Schleif
Metric and non-metric proximity transformations at linear costs. CoRR (2014)
Frank-Michael Schleif, Andrej Gisbrecht
Data Analysis of (Non-)Metric Proximities at Linear Costs. SIMBAD (2013)
Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
Applications of Discriminative Dimensionality Reduction. ICPRAM (2013)
Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba
Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples. IV (2013)
Andrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse
Visualizing dependencies of spectral features using mutual information. ESANN (2013)
Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
Using Nonlinear Dimensionality Reduction to Visualize Classifiers. IWANN (1) (2013)
Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer
Visualizing the quality of dimensionality reduction. Neurocomputing 112 (2013)
Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
Discriminative Dimensionality Reduction for the Visualization of Classifiers. ICPRAM (Selected Papers) (2013)
Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer
Visualizing the quality of dimensionality reduction. ESANN (2012)
Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse
Relevance learning for time series inspection. ESANN (2012)
Xibin Zhu, Andrej Gisbrecht, Frank-Michael Schleif, Barbara Hammer
Approximation techniques for clustering dissimilarity data. Neurocomputing 90 (2012)
Andrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. 22 (5) (2012)
Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
Linear basis-function t-SNE for fast nonlinear dimensionality reduction. IJCNN (2012)
Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Dürr, Barbara Hammer
Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2) (2012)
Frank-Michael Schleif, Xibin Zhu, Andrej Gisbrecht, Barbara Hammer
Fast approximated relational and kernel clustering. ICPR (2012)
Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer
Out-of-sample kernel extensions for nonparametric dimensionality reduction. ESANN (2012)
Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
Relevance learning for short high-dimensional time series in the life sciences. IJCNN (2012)
Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
How to Visualize Large Data Sets? WSOM (2012)
Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
Efficient Approximations of Kernel Robust Soft LVQ. WSOM (2012)
Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer
Discriminative Dimensionality Reduction Mappings. IDA (2012)
Andrej Gisbrecht, Barbara Hammer
Relevance learning in generative topographic mapping. Neurocomputing 74 (9) (2011)
Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
Relational generative topographic mapping. Neurocomputing 74 (9) (2011)
Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
Topographic Mapping of Dissimilarity Data. WSOM (2011)
Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
Accelerating Kernel Neural Gas. ICANN (1) (2011)
Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
Supervised learning of short and high-dimensional temporal sequences for life science measurements CoRR (2011)
Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
Linear Time Heuristics for Topographic Mapping of Dissimilarity Data. IDEAL (2011)
Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu
Accelerating kernel clustering for biomedical data analysis. CIBCB (2011)
Andrej Gisbrecht, Barbara Hammer
Relevance learning in generative topographic maps. ESANN (2010)
Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
Relational Generative Topographic Map. ESANN (2010)
Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer
Visualizing Dissimilarity Data Using Generative Topographic Mapping. KI (2010)

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Publication Activity (10 Years)

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Andrej Gisbrecht