Skip to content
cs-conference-ranking.org

Frank-Michael Schleif

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

90

Venues

24

Active years

2004–2026

Best venue rank

A*

Where they publish

Papers

90 indexed papers, newest first.

YearVenueTitleAuthors
2026ESANNPolarizing Kernels: A Definite Approach to Clustering with Indefinite Similarities.Frank-Michael Schleif, Manuel Rder, Maximilian Mnch, Peter Preinesberger
2026VEHITSEfficient Learning and Prediction of Variable Travel Times for a Vehicle Category in Different Geographies.Fahad Rafique, Frank-Michael Schleif, Nitin Ahuja
2025EANNContextualized Segmentation of Milling Processes Using Discrete Rule-Based Pattern Recognition.Lukas Klehr, Bastian Engelmann, Frank-Michael Schleif, Daniel Regulin
2025ESANNMulticlass Adaptive Subspace Learning.Peter Preinesberger, Maximilian Mnch, Frank-Michael Schleif
2025ESANNResource-Aware Cooperation in Federated Learning.Manuel Rder, Fabian Geiger, Frank-Michael Schleif
2025IJCNNDriving Cooperation in Federated Learning via Evolutionary Game Theory.Manuel Rder, Fabian Geiger, Frank-Michael Schleif
2025IDEALOn the Use of Smooth-L1 Approximation in Echo State Networks for Sparse and Efficient Temporal Modeling.Gengcheng Lyu, Manuel Rder, Frank-Michael Schleif
2024ESANNMachine learning in distributed, federated and non-stationary environments - recent trends.Mirko Polato, Barbara Hammer, Frank-Michael Schleif
2024ESANNSparse Uncertainty-Informed Sampling from Federated Streaming Data.Manuel Rder, Frank-Michael Schleif
2024ICPRAMCrossing Domain Borders with Federated Few-Shot Adaptation.Manuel Rder, Maximilian Mnch, Christoph Raab, Frank-Michael Schleif
2023CIKMUnlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models.Maximilian Mnch, Manuel Rder, Frank-Michael Schleif
2023ESANNSparse Nystrm Approximation for Non-Vectorial Data Using Class-informed Landmark Selection.Maximilian Mnch, Katrin Sophie Bohnsack, Alexander Engelsberger, Frank-Michael Schleif, Thomas Villmann
2023SMCHow Important is the Temporal Context to Anticipate Oncoming Vehicles at Night?Lukas Ewecker, Timo Winkler, Philipp Vth, Robin Schwager, Tim Brhl, Frank-Michael Schleif
2022ESANNAdaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification.Maximilian Mnch, Christoph Raab, Simon Heilig, Manuel Rder, Frank-Michael Schleif
2022ICAISCA Streaming Approach to the Core Vector Machine.Moritz Heusinger, Frank-Michael Schleif
2022IJCNNMemory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels.Simon Heilig, Maximilian Mnch, Frank-Michael Schleif
2021ESANNFederated Learning - Methods, Applications and beyond.Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif
2021ESANNMulti-perspective embedding for non-metric time series classification.Maximilian Mnch, Simon Heilig, Frank-Michael Schleif
2021ESANNDomain Adversarial Tangent Learning Towards Interpretable Domain Adaptation.Christoph Raab, Sascha Saralajew, Frank-Michael Schleif
2021IWANNClassification in Non-stationary Environments Using Coresets over Sliding Windows.Moritz Heusinger, Frank-Michael Schleif
2020ACCVBridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks.Christoph Raab, Philipp Vth, Peter Meier, Frank-Michael Schleif
2020ESANNRandom Projection in supervised non-stationary environments.Moritz Heusinger, Frank-Michael Schleif
2020ESANNDomain Invariant Representations with Deep Spectral Alignment.Christoph Raab, Peter Meier, Frank-Michael Schleif
2020ICAISCRandom Projection in the Presence of Concept Drift in Supervised Environments.Moritz Heusinger, Frank-Michael Schleif
2020ICPRAMStructure Preserving Encoding of Non-euclidean Similarity Data.Maximilian Mnch, Christoph Raab, Michael Biehl, Frank-Michael Schleif
2020ICPRAMEncoding of Indefinite Proximity Data: A Structure Preserving Perspective.Maximilian Mnch, Christoph Raab, Frank-Michael Schleif
2020KILow-Rank Subspace Override for Unsupervised Domain Adaptation.Christoph Raab, Frank-Michael Schleif
2020SSPRComplex-Valued Embeddings of Generic Proximity Data.Maximilian Mnch, Michiel Straat, Michael Biehl, Frank-Michael Schleif
2019ESANNRecent trends in streaming data analysis, concept drift and analysis of dynamic data sets.Albert Bifet, Barbara Hammer, Frank-Michael Schleif
2019ESANNTowards a device-free passive presence detection system with Bluetooth Low Energy beacons.Maximilian Mnch, Karsten Huffstadt, Frank-Michael Schleif
2019ESANNReactive Soft Prototype Computing for frequent reoccurring Concept Drift.Christoph Raab, Moritz Heusinger, Frank-Michael Schleif
2019IWANNDevice-Free Passive Human Counting with Bluetooth Low Energy Beacons.Maximilian Mnch, Frank-Michael Schleif
2018ESANNGlobular Cluster Detection in the Gaia Survey.Mohammad Mohammadi, Reynier Peletier, Frank-Michael Schleif, Nicolai Petkov, Kerstin Bunte
2018KISparse Transfer Classification for Text Documents.Christoph Raab, Frank-Michael Schleif
2018SSPRSparsification of Indefinite Learning Models.Frank-Michael Schleif, Christoph Raab, Peter Tio
2017ICANNIndefinite Support Vector Regression.Frank-Michael Schleif
2016ESANNLearning in indefinite proximity spaces - recent trends.Frank-Michael Schleif, Peter Tio, Yingyu Liang
2015ESANNProbabilistic Classification Vector Machine at large scale.Frank-Michael Schleif, Andrej Gisbrecht, Peter Tio
2015IJCNNStationarity of Matrix Relevance LVQ.Michael Biehl, Barbara Hammer, Frank-Michael Schleif, Petra Schneider, Thomas Villmann
2015IJCNNIncremental probabilistic classification vector machine with linear costs.Frank-Michael Schleif, H. Chen, Peter Tio
2014ESANNProximity learning for non-standard big data.Frank-Michael Schleif
2014ESANNRecent trends in learning of structured and non-standard data.Frank-Michael Schleif, Peter Tio, Thomas Villmann
2014ICANNDiscriminative Fast Soft Competitive Learning.Frank-Michael Schleif
2014ICDMHigh Dimensional Matrix Relevance Learning.Frank-Michael Schleif, Thomas Villmann, Xibin Zhu
2013ESANNSemi-Supervised Vector Quantization for proximity data.Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2013IDEALSparse Prototype Representation by Core Sets.Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2013IWANNSecure Semi-supervised Vector Quantization for Dissimilarity Data.Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2012ADBISSoft Competitive Learning for Large Data Sets.Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2012ESANNAdaptive learning for complex-valued data.Kerstin Bunte, Frank-Michael Schleif, Michael Biehl
2012HAISWhite Box Classification of Dissimilarity Data.Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2012ICANNLearning Relevant Time Points for Time-Series Data in the Life Sciences.Frank-Michael Schleif, Bassam Mokbel, Andrej Gisbrecht, Leslie Theunissen, Volker Drr, Barbara Hammer
2012IJCNNLarge margin linear discriminative visualization by Matrix Relevance Learning.Michael Biehl, Kerstin Bunte, Frank-Michael Schleif, Petra Schneider, Thomas Villmann
2012ICPRFast approximated relational and kernel clustering.Frank-Michael Schleif, Xibin Zhu, Andrej Gisbrecht, Barbara Hammer
2012IJCNNRelevance learning for short high-dimensional time series in the life sciences.Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2012ISNNPatch Processing for Relational Learning Vector Quantization.Xibin Zhu, Frank-Michael Schleif, Barbara Hammer
2011CIBCBAccelerating kernel clustering for biomedical data analysis.Andrej Gisbrecht, Barbara Hammer, Frank-Michael Schleif, Xibin Zhu
2011ESANNMathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization.Kerstin Bunte, Frank-Michael Schleif, Sven Haase, Thomas Villmann
2011ESANNMultivariate class labeling in Robust Soft LVQ.Petra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann
2011ESANNRecent trends in computational intelligence in life sciences.Udo Seiffert, Frank-Michael Schleif, Dietlind Zhlke
2011ICANNAccelerating Kernel Neural Gas.Frank-Michael Schleif, Andrej Gisbrecht, Barbara Hammer
2011ICONIPRelational Extensions of Learning Vector Quantization.Barbara Hammer, Frank-Michael Schleif, Xibin Zhu
2011IJCNNSparse kernelized vector quantization with local dependencies.Frank-Michael Schleif
2011IDAPrototype-Based Classification of Dissimilarity Data.Barbara Hammer, Bassam Mokbel, Frank-Michael Schleif, Xibin Zhu
2011IDEALLinear Time Heuristics for Topographic Mapping of Dissimilarity Data.Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
2010ESANNDivergence based Learning Vector Quantization.Ernest Mwebaze, Petra Schneider, Frank-Michael Schleif, Sven Haase, Thomas Villmann, Michael Biehl
2010ESANNSparse representation of data.Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
2010ESANNLearning vector quantization for heterogeneous structured data.Dietlind Zhlke, Frank-Michael Schleif, Tina Geweniger, Sven Haase, Thomas Villmann
2010ICAISCDivergence Based Online Learning in Vector Quantization.Thomas Villmann, Sven Haase, Frank-Michael Schleif, Barbara Hammer
2010IDEALGeneralized Derivative Based Kernelized Learning Vector Quantization.Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl
2009ESANNNeural Maps and Learning Vector Quantization - Theory and Applications.Frank-Michael Schleif, Thomas Villmann
2009ICMLATanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure.Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Thomas Elssner
2009IWANNMatrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data.Marc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl
2008CBMSSparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy.Frank-Michael Schleif, Matthias Ongyerth, Thomas Villmann
2008ESANNGeneralized matrix learning vector quantizer for the analysis of spectral data.Petra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl
2008ESANNMetric adaptation for supervised attribute rating.Marc Strickert, Frank-Michael Schleif, Thomas Villmann
2008ICONIPComparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, Thomas Villmann
2007CBMSStatistical Classification and Visualization of MALDI-Imaging Data.Marc Gerhard, Soren-Oliver Deininger, Frank-Michael Schleif
2007ESANNVisualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS.Thomas Villmann, Marc Strickert, Cornelia Br, Frank-Michael Schleif, Udo Seiffert
2007ICMLAAssociation Learning in SOMs for Fuzzy-Classification.Thomas Villmann, Frank-Michael Schleif, Martijn van der Werff, Andr M. Deelder, Rob A. E. M. Tollenaar
2007IJCNNIntuitive Clustering of Biological Data.Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert
2007IWANNNeural Gas Clustering for Dissimilarity Data with Continuous Prototypes.Alexander Hasenfuss, Barbara Hammer, Frank-Michael Schleif, Thomas Villmann
2007IWANNSupervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra.Frank-Michael Schleif, Thomas Villmann, Barbara Hammer
2007IWANNFuzzy Labeled Self-Organizing Map for Classification of Spectra.Thomas Villmann, Frank-Michael Schleif, Erzsbet Mernyi, Barbara Hammer
2006CBMSAnalysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps.Frank-Michael Schleif, Thomas Elssner, Markus Kostrzewa, Thomas Villmann, Barbara Hammer
2006ESANNFuzzy image segmentation with Fuzzy Labelled Neural Gas.Cornelia Br, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert
2006ESANNMargin based Active Learning for LVQ Networks.Frank-Michael Schleif, Barbara Hammer, Thomas Villmann
2006ICAISCLearning Vector Quantization Classification with Local Relevance Determination for Medical Data.Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann
2006ICONIPPrototype Based Classification Using Information Theoretic Learning.Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell
2005ICMLAFuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning.Thomas Villmann, Frank-Michael Schleif, Barbara Hammer
2004ICMLASupervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data.Frank-Michael Schleif, U. Clauss, Thomas Villmann, Barbara Hammer