Marc Strickert

59 papers B 14C 8Misc 1Journal 20Unranked 15

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