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Advances in artificial neural networks, machine learning and computational intelligence
(2022)
Oneto, Luca
;
Navarin, Nicolò
;
Schleif, Frank-Michael
Domain adversarial tangent subspace alignment for explainable domain adaptation
(2022)
Raab, Christoph
;
Röder, Manuel
;
Schleif, Frank-Michael
Data-Driven Supervised Learning for Life Science Data
(2020)
Münch, Maximilian
;
Raab, Christoph
;
Biehl, Michael
;
Schleif, Frank-Michael
Sparsification of core set models in non-metric supervised learning
(2020)
Schleif, Frank-Michael
;
Raab, Christoph
;
Tiño, Peter
Reactive Soft Prototype Computing for Concept Drift Streams
(2020)
Raab, Christoph
;
Heusinger, Moritz
;
Schleif, Frank-Michael
Transfer learning extensions for the probabilistic classification vector machine
(2020)
Raab, Christoph
;
Schleif, Frank-Michael
Recent trends in computational intelligence in life sciences
(2011)
Seiffert, Udo
;
Schleif, Frank-Michael
;
Zühlke, Dietlind
Neural Maps and Learning Vector Quantization - Theory and Applications
(2009)
Schleif, Frank-Michael
;
Villmann, Thomas
Sparse representation of data
(2010)
Villmann, Thomas
;
Schleif, Frank-Michael
;
Hammer, Barbara
Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS
(2007)
Villmann, Thomas
;
Strickert, Marc
;
Brüß, Cornelia
;
Schleif, Frank-Michael
;
Seiffert, Udo
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization
(2011)
Bunte, Kerstin
;
Schleif, Frank-Michael
;
Haase, Sven
;
Villmann, Thomas
Generalized matrix learning vector quantizer for the analysis of spectral data
(2008)
Schneider, Petra
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Biehl, Michael
Divergence based Learning Vector Quantization
(2010)
Mwebaze, Ernest
;
Schneider, Petra
;
Schleif, Frank-Michael
;
Haase, Sven
;
Villmann, Thomas
;
Biehl, Michael
Learning vector quantization for heterogeneous structured data
(2010)
Zühlke, Dietlind
;
Schleif, Frank-Michael
;
Geweniger, Tina
;
Haase, Sven
;
Villmann, Thomas
Multivariate class labeling in Robust Soft LVQ
(2011)
Schneider, Petra
;
Geweniger, Tina
;
Schleif, Frank-Michael
;
Biehl, Michael
;
Villmann, Thomas
Metric adaptation for supervised attribute rating
(2008)
Strickert, Marc
;
Schleif, Frank-Michael
;
Villmann, Thomas
Margin based Active Learning for LVQ Networks
(2006)
Schleif, Frank-Michael
;
Hammer, Barbara
;
Villmann, Thomas
Fuzzy image segmentation with Fuzzy Labelled Neural Gas
(2006)
Brüß, Cornelia
;
Bollenbeck, Felix
;
Schleif, Frank-Michael
;
Weschke, Winfriede
;
Villmann, Thomas
;
Seiffert, Udo
Fast approximated relational and kernel clustering
(2012)
Schleif, Frank-Michael
;
Zhu, Xibin
;
Gisbrecht, Andrej
;
Hammer, Barbara
Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy
(2008)
Schleif, Frank-Michael
;
Ongyerth, Matthias
;
Villmann, Thomas
Intuitive Clustering of Biological Data
(2007)
Hammer, Barbara
;
Hasenfuss, Alexander
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Strickert, Marc
;
Seiffert, Udo
Accelerating kernel clustering for biomedical data analysis
(2011)
Gisbrecht, Andrej
;
Hammer, Barbara
;
Schleif, Frank-Michael
;
Zhu, Xibin
Transfer learning for the probabilistic classification vector machine
(2018)
Raab, Christoph
;
Schleif, Frank-Michael
Structure Preserving Encoding of Non-euclidean Similarity Data
(2020)
Münch, Maximilian
;
Raab, Christoph
;
Biehl, Michael
;
Schleif, Frank-Michael
Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes
(2007)
Hasenfuss, Alexander
;
Hammer, Barbara
;
Schleif, Frank-Michael
;
Villmann, Thomas
Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps
(2007)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
Prototype Based Classification Using Information Theoretic Learning
(2006)
Villmann, Thomas
;
Hammer, Barbara
;
Schleif, Frank-Michael
;
Geweniger, Tina
;
Fischer, Tom
;
Cottrell, Marie
Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data
(2004)
Schleif, Frank-Michael
;
Clauss, U.
;
Villmann, Thomas
;
Hammer, Barbara
Sparsification of Indefinite Learning Models
(2018)
Schleif, Frank-Michael
;
Raab, Christoph
;
Tiño, Peter
Low-Rank Kernel Space Representations in Prototype Learning
(2016)
Bunte, Kerstin
;
Kaden, Marika
;
Schleif, Frank-Michael
Device-Free Passive Human Counting with Bluetooth Low Energy Beacons
(2019)
Münch, Maximilian
;
Schleif, Frank-Michael
Classification in Non-stationary Environments Using Coresets over Sliding Windows
(2021)
Heusinger, Moritz
;
Schleif, Frank-Michael
A Streaming Approach to the Core Vector Machine
(2023)
Heusinger, Moritz
;
Schleif, Frank-Michael
Indefinite Support Vector Regression
(2017)
Schleif, Frank-Michael
Random Projection in the Presence of Concept Drift in Supervised Environments
(2020)
Heusinger, Moritz
;
Schleif, Frank-Michael
Encoding of Indefinite Proximity Data: A Structure Preserving Perspective
(2020)
Münch, Maximilian
;
Raab, Christoph
;
Schleif, Frank-Michael
Large Scale Indefinite Kernel Fisher Discriminant
(2015)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
;
Tiño, Peter
Data Analysis of (Non-)Metric Proximities at Linear Costs
(2013)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
Supervised Batch Neural Gas
(2006)
Hammer, Barbara
;
Hasenfuss, Alexander
;
Schleif, Frank-Michael
;
Villmann, Thomas
Sparse Transfer Classification for Text Documents
(2018)
Raab, Christoph
;
Schleif, Frank-Michael
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes
(2006)
Villmann, Thomas
;
Seiffert, Udo
;
Schleif, Frank-Michael
;
Brüß, Cornelia
;
Geweniger, Tina
;
Hammer, Barbara
Discriminative Fast Soft Competitive Learning
(2014)
Schleif, Frank-Michael
Hierarchical PCA Using Tree-SOM for the Identification of Bacteria
(2009)
Simmuteit, Stephan
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Kostrzewa, Markus
Probabilistic Prototype Classification Using t-norms
(2014)
Geweniger, Tina
;
Schleif, Frank-Michael
;
Villmann, Thomas
Topographic Mapping of Dissimilarity Data
(2011)
Hammer, Barbara
;
Gisbrecht, Andrej
;
Hasenfuss, Alexander
;
Mokbel, Bassam
;
Schleif, Frank-Michael
;
Zhu, Xibin
Prototype-Based Classification of Dissimilarity Data
(2011)
Hammer, Barbara
;
Mokbel, Bassam
;
Schleif, Frank-Michael
;
Zhu, Xibin
Relational Extensions of Learning Vector Quantization
(2011)
Hammer, Barbara
;
Schleif, Frank-Michael
;
Zhu, Xibin
Low-Rank Subspace Override for Unsupervised Domain Adaptation
(2020)
Raab, Christoph
;
Schleif, Frank-Michael
Fuzzy Labeled Self-Organizing Map for Classification of Spectra
(2007)
Villmann, Thomas
;
Schleif, Frank-Michael
;
Merényi, Erzsébet
;
Hammer, Barbara
Generalized Derivative Based Kernelized Learning Vector Quantization
(2010)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
;
Schneider, Petra
;
Biehl, Michael
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