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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
White Box Classification of Dissimilarity Data
(2012)
Hammer, Barbara
;
Mokbel, Bassam
;
Schleif, Frank-Michael
;
Zhu, Xibin
The Mathematics of Divergence Based Online Learning in Vector Quantization
(2010)
Villmann, Thomas
;
Haase, Sven
;
Schleif, Frank-Michael
;
Hammer, Barbara
;
Biehl, Michael
Linear Time Heuristics for Topographic Mapping of Dissimilarity Data
(2011)
Gisbrecht, Andrej
;
Schleif, Frank-Michael
;
Zhu, Xibin
;
Hammer, Barbara
Sparse Prototype Representation by Core Sets
(2013)
Schleif, Frank-Michael
;
Zhu, Xibin
;
Hammer, Barbara
Accelerating Kernel Neural Gas
(2011)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
;
Hammer, Barbara
Patch Processing for Relational Learning Vector Quantization
(2012)
Zhu, Xibin
;
Schleif, Frank-Michael
;
Hammer, Barbara
Learning Relevant Time Points for Time-Series Data in the Life Sciences
(2012)
Schleif, Frank-Michael
;
Mokbel, Bassam
;
Gisbrecht, Andrej
;
Theunissen, Leslie
;
Dürr, Volker
;
Hammer, Barbara
Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data
(2009)
Strickert, Marc
;
Keilwagen, Jens
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Biehl, Michael
Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization
(2019)
Heusinger, Moritz
;
Raab, Christoph
;
Schleif, Frank-Michael
Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra
(2007)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Hammer, Barbara
A Conformal Classifier for Dissimilarity Data
(2012)
Schleif, Frank-Michael
;
Zhu, Xibin
;
Hammer, Barbara
Complex-Valued Embeddings of Generic Proximity Data
(2020)
Münch, Maximilian
;
Straat, Michiel
;
Biehl, Michael
;
Schleif, Frank-Michael
Secure Semi-supervised Vector Quantization for Dissimilarity Data
(2013)
Zhu, Xibin
;
Schleif, Frank-Michael
;
Hammer, Barbara
Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation
(2016)
Schleif, Frank-Michael
;
Kabán, Ata
;
Tiño, Peter
Semi-Supervised Vector Quantization for proximity data
(2013)
Zhu, Xibin
;
Schleif, Frank-Michael
;
Hammer, Barbara
Adaptive learning for complex-valued data
(2012)
Bunte, Kerstin
;
Schleif, Frank-Michael
;
Biehl, Michael
Proximity learning for non-standard big data
(2014)
Schleif, Frank-Michael
Globular Cluster Detection in the Gaia Survey
(2018)
Mohammadi, Mohammad
;
Peletier, Reynier
;
Schleif, Frank-Michael
;
Petkov, Nicolai
;
Bunte, Kerstin
Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets
(2019)
Bifet, Albert
;
Hammer, Barbara
;
Schleif, Frank-Michael
Recent trends in learning of structured and non-standard data
(2014)
Schleif, Frank-Michael
;
Tiño, Peter
;
Villmann, Thomas
Reactive Soft Prototype Computing for frequent reoccurring Concept Drift
(2019)
Raab, Christoph
;
Heusinger, Moritz
;
Schleif, Frank-Michael
Domain Invariant Representations with Deep Spectral Alignment
(2020)
Raab, Christoph
;
Meier, Peter
;
Schleif, Frank-Michael
Probabilistic Classification Vector Machine at large scale
(2015)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
;
Tiño, Peter
Learning in indefinite proximity spaces - recent trends
(2016)
Schleif, Frank-Michael
;
Tiño, Peter
;
Liang, Yingyu
Advances in pre-processing and model generation for mass spectrometric data analysis
(2007)
Schleif, Frank-Michael
Towards a device-free passive presence detection system with Bluetooth Low Energy beacons
(2019)
Münch, Maximilian
;
Huffstadt, Karsten
;
Schleif, Frank-Michael
Random Projection in supervised non-stationary environments
(2020)
Heusinger, Moritz
;
Schleif, Frank-Michael
Statistical Classification and Visualization of MALDI-Imaging Data
(2007)
Gerhard, Marc
;
Deininger, Soren-Oliver
;
Schleif, Frank-Michael
Reactive Concept Drift Detection Using Coresets Over Sliding Windows
(2020)
Heusinger, Moritz
;
Schleif, Frank-Michael
Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018)
(2019)
Oneto, Luca
;
Bunte, Kerstin
;
Schleif, Frank-Michael
Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification
(2022)
Münch, Maximilian
;
Raab, Christoph
;
Heilig, Simon
;
Röder, Manuel
;
Schleif, Frank-Michael
Scalable embedding of multiple perspectives for indefinite life-science data analysis
(2021)
Münch, Maximilian
;
Heilig, Simon
;
Väth, Philipp
;
Schleif, Frank-Michael
Multi-perspective embedding for non-metric time series classification
(2021)
Münch, Maximilian
;
Heilig, Simon
;
Schleif, Frank-Michael
Federated Learning - Methods, Applications and beyond
(2021)
Heusinger, Moritz
;
Raab, Christoph
;
Rossi, Fabrice
;
Schleif, Frank-Michael
Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation
(2021)
Raab, Christoph
;
Saralajew, Sascha
;
Schleif, Frank-Michael
Association Learning in SOMs for Fuzzy-Classification
(2007)
Villmann, Thomas
;
Schleif, Frank-Michael
;
van der Werff, Martijn
;
Deelder, André M.
;
Tollenaar, Rob A. E. M.
Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure
(2009)
Simmuteit, Stephan
;
Schleif, Frank-Michael
;
Villmann, Thomas
;
Elssner, Thomas
Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks
(2020)
Raab, Christoph
;
Väth, Philipp
;
Meier, Peter
;
Schleif, Frank-Michael
Divergence Based Online Learning in Vector Quantization
(2010)
Villmann, Thomas
;
Haase, Sven
;
Schleif, Frank-Michael
;
Hammer, Barbara
Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning
(2005)
Villmann, Thomas
;
Schleif, Frank-Michael
;
Hammer, Barbara
High Dimensional Matrix Relevance Learning
(2014)
Schleif, Frank-Michael
;
Villmann, Thomas
;
Zhu, Xibin
Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers
(2020)
Heusinger, Moritz
;
Raab, Christoph
;
Schleif, Frank-Michael
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels
(2022)
Heilig, Simon
;
Münch, Maximilian
;
Schleif, Frank-Michael
Globular cluster detection in the GAIA survey
(2019)
Mohammadi, Mohammad
;
Petkov, Nicolai
;
Bunte, Kerstin
;
Peletier, Reynier F.
;
Schleif, Frank-Michael
Supervised low rank indefinite kernel approximation using minimum enclosing balls
(2018)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
;
Tiño, Peter
Odor recognition in robotics applications by discriminative time-series modeling
(2016)
Schleif, Frank-Michael
;
Hammer, Barbara
;
Gonzalez Monroy, Javier
;
González Jiménez, Javier
;
Blanco-Claraco, José-Luis
;
Biehl, Michael
;
Petkov, Nicolai
Small sets of random Fourier features by kernelized Matrix LVQ
(2017)
Schleif, Frank-Michael
Indefinite Core Vector Machine
(2017)
Schleif, Frank-Michael
;
Tiño, Peter
Stationarity of Matrix Relevance LVQ
(2015)
Biehl, Michael
;
Hammer, Barbara
;
Schleif, Frank-Michael
;
Schneider, Petra
;
Villmann, Thomas
Incremental probabilistic classification vector machine with linear costs
(2015)
Schleif, Frank-Michael
;
Chen, H.
;
Tiño, Peter
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