Marc Strickert

According to our database1, Marc Strickert
  • authored at least 57 papers between 2001 and 2016.
  • has a "Dijkstra number"2 of four.

Timeline

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On csauthors.net:

Bibliography

2016
CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.
IEEE Trans. Knowl. Data Eng., 2016

2014
Correlation-based embedding of pairwise score data.
Neurocomputing, 2014

Visualization of evolving fuzzy rule-based systems.
Evolving Systems, 2014

Learning Solution Similarity in Preference-Based CBR.
Proceedings of the Case-Based Reasoning Research and Development, 2014

The Choquet kernel for monotone data.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library.
J. Bioinformatics and Computational Biology, 2013

Border-Sensitive Learning in Kernelized Learning Vector Quantization.
Proceedings of the Advances in Computational Intelligence, 2013

Preference-Based CBR: A Search-Based Problem Solving Framework.
Proceedings of the Case-Based Reasoning Research and Development, 2013

Soft rank neighbor embeddings.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

A sparse kernelized matrix learning vector quantization model for human activity recognition.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Rule Chains for Visualizing Evolving Fuzzy Rule-Based Systems.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Regularization and improved interpretation of linear data mappings and adaptive distance measures.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana.
PLoS Computational Biology, 2012

Visualization of processes in self-learning systems.
Proceedings of the Tenth Annual International Conference on Privacy, Security and Trust, 2012

Posterior regularization and attribute assessment of under-determined linear mappings.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference.
PLoS Computational Biology, 2011

Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models.
Bioinformatics, 2011

Multispectral image characterization by partial generalized covariance.
Proceedings of the ESANN 2011, 2011

Partial generalized correlation for hyperspectral data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Subspace Mapping of Noisy Text Documents.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Adaptive matrix metrics for molecular descriptor assessment in QSPR classification.
J. Cheminformatics, 2010

Unifying generative and discriminative learning principles.
BMC Bioinformatics, 2010

Adaptive matrix distances aiming at optimum regression subspaces.
Proceedings of the ESANN 2010, 2010

2009
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data.
Bioinformatics, 2009

Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

CUDA-based Multi-core Implementation of MDS-based Bioinformatics Algorithms.
Proceedings of the German Conference on Bioinformatics 2009, 2009

Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data.
Proceedings of the Similarity-Based Clustering, 2009

Array-based Genome Comparison of Arabidopsis Ecotypes using Hidden Markov Models.
Proceedings of the BIOSIGNALS 2009, 2009

2008
Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2008

Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data.
Proceedings of the German Conference on Bioinformatics, 2008

Metric adaptation for supervised attribute rating.
Proceedings of the ESANN 2008, 2008

Robust Centroid-Based Clustering using Derivatives of Pearson Correlation.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue.
BMC Bioinformatics, 2007

Intuitive Clustering of Biological Data.
Proceedings of the International Joint Conference on Neural Networks, 2007

Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS.
Proceedings of the ESANN 2007, 2007

Correlation-based Data Representation.
Proceedings of the Similarity-based Clustering and its Application to Medicine and Biology, 25.03., 2007

2006
Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis.
Neurocomputing, 2006

Sanger-driven MDSLocalize - a comparative study for genomic data.
Proceedings of the ESANN 2006, 2006

Towards Automatic Segmentation of Serial High-Resolution Images.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005
On the Generalization Ability of GRLVQ Networks.
Neural Processing Letters, 2005

Supervised Neural Gas with General Similarity Measure.
Neural Processing Letters, 2005

Unsupervised recursive sequence processing.
Neurocomputing, 2005

Merge SOM for temporal data.
Neurocomputing, 2005

High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Generalized Relevance LVQ with Correlation Measures for Biological Data.
Proceedings of the ESANN 2005, 2005

Relevance learning for mental disease classification.
Proceedings of the ESANN 2005, 2005

2004
Self-organizing neural networks for sequence processing.
PhD thesis, 2004

Recursive self-organizing network models.
Neural Networks, 2004

A general framework for unsupervised processing of structured data.
Neurocomputing, 2004

Relevance LVQ versus SVM.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Self-organizing context learning.
Proceedings of the ESANN 2004, 2004

2003
Unsupervised Recursive Sequence Processing.
Proceedings of the ESANN 2003, 2003

2002
Learning Vector Quantization for Multimodal Data.
Proceedings of the Artificial Neural Networks, 2002

Rule Extraction from Self-Organizing Networks.
Proceedings of the Artificial Neural Networks, 2002

2001
Generalized Relevance LVQ for Time Series.
Proceedings of the Artificial Neural Networks, 2001


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