Andrej Gisbrecht

44 papers B 12C 4Misc 3Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	Misc	`conf`	A Standard Framework for AI-Driven Optimizations in Various Complex Domains. WSC Tobias Bosse, Evangelos Angelidis, Feifei Zhang, Chew Wye Chan, Boon Ping Gan, Matthias Werner, Andrej Gisbrecht
2022	Misc	`conf`	Graph Representation and Embedding for Semiconductor Manufacturing Fab States. WSC Benedikt Schulz, Christoph Jacobi, Andrej Gisbrecht, Evangelos Angelidis, Chew Wye Chan, Boon Ping Gan
2018	J	`jnl`	Supervised low rank indefinite kernel approximation using minimum enclosing balls. Neurocomputing Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño
2016	J	`jnl`	Probabilistic classifiers with low rank indefinite kernels. CoRR Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño
2015	—	`—`	Advances in dissimilarity-based data visualisation. Andrej Gisbrecht
2015	J	`jnl`	Data visualization by nonlinear dimensionality reduction. WIREs Data Mining Knowl. Discov. Andrej Gisbrecht, Barbara Hammer
2015	J	`jnl`	Efficient approximations of robust soft learning vector quantization for non-vectorial data. Neurocomputing Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
2015	—	`conf`	Large Scale Indefinite Kernel Fisher Discriminant. SIMBAD Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño
2015	J	`jnl`	Metric and non-metric proximity transformations at linear costs. Neurocomputing Andrej Gisbrecht, Frank-Michael Schleif
2015	J	`jnl`	Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
2015	B	`conf`	Probabilistic Classification Vector Machine at large scale. ESANN Frank-Michael Schleif, Andrej Gisbrecht, Peter Tiño
2015	J	`jnl`	Using Discriminative Dimensionality Reduction to Visualize Classifiers. Neural Process. Lett. Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2014	—	`ch.`	Innovationen für die distanzbasierte Datenvisualisierung. Ausgezeichnete Informatikdissertationen Andrej Gisbrecht
2014	J	`jnl`	Metric and non-metric proximity transformations at linear costs. CoRR Andrej Gisbrecht, Frank-Michael Schleif
2014	B	`conf`	Relevance Learning for Dimensionality Reduction. ESANN Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2013	C	`conf`	Applications of Discriminative Dimensionality Reduction. ICPRAM Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
2013	—	`conf`	Data Analysis of (Non-)Metric Proximities at Linear Costs. SIMBAD Frank-Michael Schleif, Andrej Gisbrecht
2013	—	`conf`	Discriminative Dimensionality Reduction for the Visualization of Classifiers. ICPRAM (Selected Papers) Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
2013	C	`conf`	Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples. IV Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba
2013	—	`conf`	Using Nonlinear Dimensionality Reduction to Visualize Classifiers. IWANN (1) Alexander Schulz, Andrej Gisbrecht, Barbara Hammer
2013	B	`conf`	Visualizing dependencies of spectral features using mutual information. ESANN Andrej Gisbrecht, Yoan Miché, Barbara Hammer, Amaury Lendasse
2013	J	`jnl`	Visualizing the quality of dimensionality reduction. Neurocomputing Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Barbara Hammer
2012	J	`jnl`	Approximation techniques for clustering dissimilarity data. Neurocomputing Xibin Zhu, Andrej Gisbrecht, Frank-Michael Schleif, Barbara Hammer
2012	B	`conf`	Discriminative Dimensionality Reduction Mappings. IDA Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer
2012	—	`conf`	Efficient Approximations of Kernel Robust Soft LVQ. WSOM Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
2012	B	`conf`	Fast approximated relational and kernel clustering. ICPR Frank-Michael Schleif, Xibin Zhu, Andrej Gisbrecht, Barbara Hammer
2012	—	`conf`	How to Visualize Large Data Sets? WSOM Barbara Hammer, Andrej Gisbrecht, Alexander Schulz
2012	—	`conf`	Learning Relevant Time Points for Time-Series Data in the Life Sciences. ICANN (2) Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Dürr, Barbara Hammer
2012	J	`jnl`	Linear Time Relational Prototype Based Learning. Int. J. Neural Syst. Andrej Gisbrecht, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2012	B	`conf`	Linear basis-function t-SNE for fast nonlinear dimensionality reduction. IJCNN Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2012	B	`conf`	Out-of-sample kernel extensions for nonparametric dimensionality reduction. ESANN Andrej Gisbrecht, Wouter Lueks, Bassam Mokbel, Barbara Hammer
2012	B	`conf`	Relevance learning for short high-dimensional time series in the life sciences. IJCNN Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2012	B	`conf`	Relevance learning for time series inspection. ESANN Andrej Gisbrecht, Dusan Sovilj, Barbara Hammer, Amaury Lendasse
2012	B	`conf`	Visualizing the quality of dimensionality reduction. ESANN Bassam Mokbel, Wouter Lueks, Andrej Gisbrecht, Michael Biehl, Barbara Hammer
2011	—	`conf`	Accelerating Kernel Neural Gas. ICANN (1) Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2011	C	`conf`	Accelerating kernel clustering for biomedical data analysis. CIBCB Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu
2011	C	`conf`	Linear Time Heuristics for Topographic Mapping of Dissimilarity Data. IDEAL Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2011	J	`jnl`	Relational generative topographic mapping. Neurocomputing Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2011	J	`jnl`	Relevance learning in generative topographic mapping. Neurocomputing Andrej Gisbrecht, Barbara Hammer
2011	J	`jnl`	Supervised learning of short and high-dimensional temporal sequences for life science measurements CoRR Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2011	—	`conf`	Topographic Mapping of Dissimilarity Data. WSOM Barbara Hammer, Andrej Gisbrecht, Alexander Hasenfuss, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2010	B	`conf`	Relational Generative Topographic Map. ESANN Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
2010	B	`conf`	Relevance learning in generative topographic maps. ESANN Andrej Gisbrecht, Barbara Hammer
2010	Misc	`conf`	Visualizing Dissimilarity Data Using Generative Topographic Mapping. KI Andrej Gisbrecht, Bassam Mokbel, Alexander Hasenfuss, Barbara Hammer