Marc Strickert

Publication Activity (10 Years)

Years Active: 2001-2020
Publications (10 Years): 2

Top Venues

ESANN

ICCBR

Expert Syst. J. Knowl. Eng.

CORES

University of Osnabrück, Germany (PHD)

Education History

University of Osnabrück, Germany

PHD

Publications

Ali Fallah Tehrani, Marc Strickert, Diane Ahrens
A class of monotone kernelized classifiers on the basis of the Choquet integral. Expert Syst. J. Knowl. Eng. 37 (3) (2020)
Matthias Leinweber, Thomas Fober, Marc Strickert, Lars Baumgärtner, Gerhard Klebe, Bernd Freisleben, Eyke Hüllermeier
CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites. IEEE Trans. Knowl. Data Eng. 28 (6) (2016)
Marc Strickert, Kerstin Bunte, Frank-Michael Schleif, Eyke Hüllermeier
Correlation-based embedding of pairwise score data. Neurocomputing 141 (2014)
Amira Abdel-Aziz, Marc Strickert, Eyke Hüllermeier
Learning Solution Similarity in Preference-Based CBR. ICCBR (2014)
Sascha Henzgen, Marc Strickert, Eyke Hüllermeier
Visualization of evolving fuzzy rule-based systems. Evol. Syst. 5 (3) (2014)
Ali Fallah Tehrani, Marc Strickert, Eyke Hüllermeier
The Choquet kernel for monotone data. ESANN (2014)
Marika Kästner, Marc Strickert, Thomas Villmann
A sparse kernelized matrix learning vector quantization model for human activity recognition. ESANN (2013)
Amira Abdel-Aziz, Weiwei Cheng, Marc Strickert, Eyke Hüllermeier
Preference-Based CBR: A Search-Based Problem Solving Framework. ICCBR (2013)
Sascha Henzgen, Marc Strickert, Eyke Hüllermeier
Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems. CORES (2013)
Marc Strickert, Kerstin Bunte
Soft rank neighbor embeddings. ESANN (2013)
Jan Grau, Jens Keilwagen, André Gohr, Ivan A. Paponov, Stefan Posch, Michael Seifert, Marc Strickert, Ivo Grosse
Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library. J. Bioinform. Comput. Biol. 11 (1) (2013)
Marc Strickert, Eyke Hüllermeier
Neighbor Embedding by Soft Kendall Correlation. EuroVis (Short Papers) (2013)
Marika Kästner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann
Border-Sensitive Learning in Kernelized Learning Vector Quantization. IWANN (1) (2013)
Marc Strickert, Barbara Hammer, Thomas Villmann, Michael Biehl
Regularization and improved interpretation of linear data mappings and adaptive distance measures. CIDM (2013)
Marc Strickert, Michael Seifert
Posterior regularization and attribute assessment of under-determined linear mappings. ESANN (2012)
Gabriele Peters, Kerstin Bunte, Marc Strickert, Michael Biehl, Thomas Villmann
Visualization of processes in self-learning systems. PST (2012)
Michael Seifert, André Gohr, Marc Strickert, Ivo Grosse
. PLoS Comput. Biol. 8 (1) (2012)
Marc Strickert, Björn Labitzke, Andreas Kolb, Thomas Villmann
Multispectral image characterization by partial generalized covariance. ESANN (2011)
Jens Keilwagen, Jan Grau, Ivan A. Paponov, Stefan Posch, Marc Strickert, Ivo Grosse
De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference. PLoS Comput. Biol. 7 (2) (2011)
Marc Strickert, Björn Labitzke, Volker Blanz
Partial generalized correlation for hyperspectral data. CIDM (2011)
Michael Seifert, Marc Strickert, Alexander Schliep, Ivo Grosse
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models. Bioinform. 27 (12) (2011)
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, Evangelos E. Milios
Subspace Mapping of Noisy Text Documents. Canadian Conference on AI (2011)
Marc Strickert, Axel J. Soto, Gustavo E. Vazquez
Adaptive matrix distances aiming at optimum regression subspaces. ESANN (2010)
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez
Adaptive matrix metrics for molecular descriptor assessment in QSPR classification. J. Cheminformatics 2 (S-1) (2010)
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Strickert, Ivo Grosse
Unifying generative and discriminative learning principles. BMC Bioinform. 11 (2010)
Marc Strickert, Frank-Michael Schleif, Thomas Villmann, Udo Seiffert
Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data. Similarity-Based Clustering (2009)
Michael Seifert, Ali Banaei, Jens Keilwagen, Michael Florian Mette, Andreas Houben, François Roudier, Vincent Colot, Ivo Grosse, Marc Strickert
Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models. BIOSIGNALS (2009)
Michael Seifert, Jens Keilwagen, Marc Strickert, Ivo Grosse
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data. Bioinform. 25 (16) (2009)
Marc Strickert, Jens Keilwagen, Frank-Michael Schleif, Thomas Villmann, Michael Biehl
Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data. IWANN (1) (2009)
Thilo Fester, Falk Schreiber, Marc Strickert
CUDA-based Multi-core Implementation of MDS-based Bioinformatics Algorithms. GCB (2009)
Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. ANNPR (2008)
Marc Strickert, Frank-Michael Schleif, Udo Seiffert, Thomas Villmann
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data. Inteligencia Artif. 12 (37) (2008)
Michael Seifert, Jens Keilwagen, Marc Strickert, Ivo Grosse
Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data. German Conference on Bioinformatics (2008)
Marc Strickert, Nese Sreenivasulu, Thomas Villmann, Barbara Hammer
Robust Centroid-Based Clustering using Derivatives of Pearson Correlation. BIOSIGNALS (2) (2008)
Marc Strickert, Frank-Michael Schleif, Thomas Villmann
Metric adaptation for supervised attribute rating. ESANN (2008)
Marc Strickert, Nese Sreenivasulu, Björn Usadel, Udo Seiffert
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue. BMC Bioinform. 8 (2007)
Barbara Hammer, Alexander Hasenfuss, Frank-Michael Schleif, Thomas Villmann, Marc Strickert, Udo Seiffert
Intuitive Clustering of Biological Data. IJCNN (2007)
Thomas Villmann, Marc Strickert, Cornelia Brüß, Frank-Michael Schleif, Udo Seiffert
Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS. ESANN (2007)
Marc Strickert, Udo Seiffert
Correlation-based Data Representation. Similarity-based Clustering and its Application to Medicine and Biology (2007)
Marc Strickert, Udo Seiffert, Nese Sreenivasulu, Winfriede Weschke, Thomas Villmann, Barbara Hammer
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. Neurocomputing 69 (7-9) (2006)
Marc Strickert, Nese Sreenivasulu, Udo Seiffert
Sanger-driven MDSLocalize - a comparative study for genomic data. ESANN (2006)
Cornelia Brüß, Marc Strickert, Udo Seiffert
Towards Automatic Segmentation of Serial High-Resolution Images. Bildverarbeitung für die Medizin (2006)
Marc Strickert, Nese Sreenivasulu, Silke Peterek, Winfriede Weschke, Hans-Peter Mock, Udo Seiffert
Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data. ANNPR (2006)
Marc Strickert, Barbara Hammer
Merge SOM for temporal data. Neurocomputing 64 (2005)
Barbara Hammer, Marc Strickert, Thomas Villmann
On the Generalization Ability of GRLVQ Networks. Neural Process. Lett. 21 (2) (2005)
Marc Strickert, Barbara Hammer, Sebastian Blohm
Unsupervised recursive sequence processing. Neurocomputing 63 (2005)
Barbara Hammer, Marc Strickert, Thomas Villmann
Supervised Neural Gas with General Similarity Measure. Neural Process. Lett. 21 (1) (2005)
Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann
Relevance learning for mental disease classification. ESANN (2005)
Marc Strickert, Stefan Teichmann, Nese Sreenivasulu, Udo Seiffert
High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data. ICANN (1) (2005)
Marc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann
Generalized Relevance LVQ with Correlation Measures for Biological Data. ESANN (2005)
Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
A general framework for unsupervised processing of structured data. Neurocomputing 57 (2004)
Marc Strickert, Barbara Hammer
Self-organizing context learning. ESANN (2004)
Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert
Recursive self-organizing network models. Neural Networks 17 (8-9) (2004)
Barbara Hammer, Marc Strickert, Thomas Villmann
Relevance LVQ versus SVM. ICAISC (2004)
Marc Strickert, Barbara Hammer
Unsupervised Recursive Sequence Processing. ESANN (2003)
Barbara Hammer, Marc Strickert, Thomas Villmann
Learning Vector Quantization for Multimodal Data. ICANN (2002)
Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann
Rule Extraction from Self-Organizing Networks. ICANN (2002)
Marc Strickert, Thorsten Bojer, Barbara Hammer
Generalized Relevance LVQ for Time Series. ICANN (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marc Strickert