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ORCIDAndrej Gisbrecht
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Books and Theses
- 2015
[b1]Andrej Gisbrecht:
Advances in dissimilarity-based data visualisation. Universität Bielefeld, 2015, pp. I-VIII, 1-153
Journal Articles
- 2018
- [j11]Frank-Michael Schleif
, Andrej Gisbrecht, Peter Tiño:
Supervised low rank indefinite kernel approximation using minimum enclosing balls. Neurocomputing 318: 213-226 (2018) - 2015
- [j10]Andrej Gisbrecht, Alexander Schulz, Barbara Hammer:
Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing 147: 71-82 (2015) - [j9]Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer:
Efficient approximations of robust soft learning vector quantization for non-vectorial data. Neurocomputing 147: 96-106 (2015) - [j8]Andrej Gisbrecht, Frank-Michael Schleif:
Metric and non-metric proximity transformations at linear costs. Neurocomputing 167: 643-657 (2015) - [j7]Alexander Schulz, Andrej Gisbrecht, Barbara Hammer:
Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Process. Lett. 42(1): 27-54 (2015) - [j6]Andrej Gisbrecht, Barbara Hammer:
Data visualization by nonlinear dimensionality reduction. WIREs Data Mining Knowl. Discov. 5(2): 51-73 (2015) - 2013
- [j5]Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer:
Visualizing the quality of dimensionality reduction. Neurocomputing 112: 109-123 (2013) - 2012
- [j4]Andrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer:
Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. 22(5) (2012) - [j3]Xibin Zhu, Andrej Gisbrecht, Frank-Michael Schleif, Barbara Hammer:
Approximation techniques for clustering dissimilarity data. Neurocomputing 90: 72-84 (2012) - 2011
- [j2]Andrej Gisbrecht, Barbara Hammer:
Relevance learning in generative topographic mapping. Neurocomputing 74(9): 1351-1358 (2011) - [j1]Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer:
Relational generative topographic mapping. Neurocomputing 74(9): 1359-1371 (2011)
Conference and Workshop Papers
- 2022
- [c27]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: 3382-3393 - 2015
- [c26]Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño:
Probabilistic Classification Vector Machine at large scale. ESANN 2015 - [c25]Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño:
Large Scale Indefinite Kernel Fisher Discriminant. SIMBAD 2015: 160-170 - 2014
- [c24]Alexander Schulz, Andrej Gisbrecht, Barbara Hammer:
Relevance Learning for Dimensionality Reduction. ESANN 2014 - 2013
- [c23]Andrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse:
Visualizing dependencies of spectral features using mutual information. ESANN 2013 - [c22]Barbara Hammer, Andrej Gisbrecht, Alexander Schulz:
Applications of Discriminative Dimensionality Reduction. ICPRAM 2013: 33-41 - [c21]Andrej Gisbrecht, Alexander Schulz, Barbara Hammer:
Discriminative Dimensionality Reduction for the Visualization of Classifiers. ICPRAM (Selected Papers) 2013: 39-56 - [c20]Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba:
Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples. IV 2013: 174-179 - [c19]Alexander Schulz, Andrej Gisbrecht, Barbara Hammer:
Using Nonlinear Dimensionality Reduction to Visualize Classifiers. IWANN (1) 2013: 59-68 - [c18]Frank-Michael Schleif, Andrej Gisbrecht:
Data Analysis of (Non-)Metric Proximities at Linear Costs. SIMBAD 2013: 59-74 - 2012
- [c17]Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer:
Out-of-sample kernel extensions for nonparametric dimensionality reduction. ESANN 2012 - [c16]Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse:
Relevance learning for time series inspection. ESANN 2012 - [c15]Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer:
Visualizing the quality of dimensionality reduction. ESANN 2012 - [c14]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: 531-539 - [c13]Frank-Michael Schleif, Xibin Zhu, Andrej Gisbrecht, Barbara Hammer:
Fast approximated relational and kernel clustering. ICPR 2012: 1229-1232 - [c12]Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer:
Discriminative Dimensionality Reduction Mappings. IDA 2012: 126-138 - [c11]Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer:
Linear basis-function t-SNE for fast nonlinear dimensionality reduction. IJCNN 2012: 1-8 - [c10]Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer:
Relevance learning for short high-dimensional time series in the life sciences. IJCNN 2012: 1-8 - [c9]Barbara Hammer, Andrej Gisbrecht, Alexander Schulz:
How to Visualize Large Data Sets? WSOM 2012: 1-12 - [c8]Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer:
Efficient Approximations of Kernel Robust Soft LVQ. WSOM 2012: 183-192 - 2011
- [c7]Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu:
Accelerating kernel clustering for biomedical data analysis. CIBCB 2011: 154-161 - [c6]Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer:
Accelerating Kernel Neural Gas. ICANN (1) 2011: 150-158 - [c5]Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer:
Linear Time Heuristics for Topographic Mapping of Dissimilarity Data. IDEAL 2011: 25-33 - [c4]Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu:
Topographic Mapping of Dissimilarity Data. WSOM 2011: 1-15 - 2010
- [c3]Andrej Gisbrecht, Barbara Hammer:
Relevance learning in generative topographic maps. ESANN 2010 - [c2]Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer:
Relational Generative Topographic Map. ESANN 2010 - [c1]Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer:
Visualizing Dissimilarity Data Using Generative Topographic Mapping. KI 2010: 227-237
Parts in Books or Collections
- 2014
- [p1]Andrej Gisbrecht:
Innovationen für die distanzbasierte Datenvisualisierung. Ausgezeichnete Informatikdissertationen 2014: 81-90
Informal and Other Publications
- 2016
- [i3]Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño:
Probabilistic classifiers with low rank indefinite kernels. CoRR abs/1604.02264 (2016) - 2014
- [i2]Andrej Gisbrecht, Frank-Michael Schleif:
Metric and non-metric proximity transformations at linear costs. CoRR abs/1411.1646 (2014) - 2011
- [i1]Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer:
Supervised learning of short and high-dimensional temporal sequences for life science measurements. CoRR abs/1110.2416 (2011)
Coauthor Index
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