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Stability of feature selection algorithms: a study on high-dimensional spaces

Knowledge and information systems, 2007-05, Vol.12 (1), p.95-116

2007

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Processing and classification of protein mass spectra

Mass spectrometry reviews, 2006-05, Vol.25 (3), p.409-449

2006

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Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana

Chemometrics and intelligent laboratory systems, 2010-11, Vol.104 (1), p.20-27

2010

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Learning from imbalanced data in surveillance of nosocomial infection

Artificial intelligence in medicine, 2006-05, Vol.37 (1), p.7-18

2006

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Approaches to dimensionality reduction in proteomic biomarker studies

Briefings in bioinformatics, 2008-03, Vol.9 (2), p.102-118

2008

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The Data Mining OPtimization Ontology

Web semantics, 2015-05, Vol.32, p.43-53

2015

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Using Meta-mining to Support Data Mining Workflow Planning and Optimization

The Journal of artificial intelligence research, 2014-01, Vol.51, p.605-644

2014

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SVM Modeling via a Hybrid Genetic Strategy. A Health Care Application

Studies in health technology and informatics, 2005, Vol.116, p.193

2005

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On Data and Algorithms: Understanding Inductive Performance

Machine learning, 2004-03, Vol.54 (3), p.275-312

2004

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Approaches to dimensionality reduction in proteomic biomarker studies: Computational Proteomics

Briefings in bioinformatics, 2008, Vol.9 (2), p.102-118

2008

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Model complexity and algorithm selection in classification

Lecture notes in computer science, 2002, p.113-126

HILARIO, Melanie

2002

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Mining mass spectra for diagnosis and biomarker discovery of cerebral accidents

Proteomics (Weinheim), 2004-08, Vol.4 (8), p.2320-2332

2004

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Machine learning approaches to lung cancer prediction from mass spectra

Proteomics (Weinheim), 2003-09, Vol.3 (9), p.1716-1719

2003

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Learning to extract relations for protein annotation

Bioinformatics, 2007-07, Vol.23 (13), p.i256-i263

2007

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Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints

Advances in Knowledge Discovery and Data Mining, 2006, p.546-551

2006

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Margin and Radius Based Multiple Kernel Learning

Machine Learning and Knowledge Discovery in Databases, p.330-343

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Kernels over Relational Algebra Structures

Advances in Knowledge Discovery and Data Mining, 2005, p.588-598

2005

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Establishment of a European Network for Urine and Kidney Proteomics

Journal of proteomics, 2008-10, Vol.71 (4), p.490-492

2008

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Adaptive Matching Based Kernels for Labelled Graphs

Advances in Knowledge Discovery and Data Mining, p.374-385

Volltextzugriff (PDF)

Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs

Machine Learning and Knowledge Discovery in Databases, p.315-329

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Feature Selection for Meta-learning

Advances in Knowledge Discovery and Data Mining, 2001, p.222-233

2001

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Quantifying the Resilience of Inductive Classification Algorithms

Lecture notes in computer science, 2000, p.106-115

2000

Volltextzugriff (PDF)

Machine learning approaches to lung cancer prediction from mass spectra : Mining MALDI-TOF data

Proteomics (Weinheim), 2003, Vol.3 (9), p.1716-1719

2003

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On Preprocessing of SELDI-MS Data and its Evaluation

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006, p.953-958

2006

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Feature Extraction from Mass Spectra for Classification of Pathological States

Knowledge Discovery in Databases: PKDD 2005, 2005, p.536-543

2005

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Stability of feature selection algorithms: a study on high-dimensional spaces

Processing and classification of protein mass spectra

Standard machine learning algorithms applied to UPLC-TOF/MS metabolic fingerprinting for the discovery of wound biomarkers in Arabidopsis thaliana

Learning from imbalanced data in surveillance of nosocomial infection

Approaches to dimensionality reduction in proteomic biomarker studies

The Data Mining OPtimization Ontology

Using Meta-mining to Support Data Mining Workflow Planning and Optimization

SVM Modeling via a Hybrid Genetic Strategy. A Health Care Application

On Data and Algorithms: Understanding Inductive Performance

Approaches to dimensionality reduction in proteomic biomarker studies: Computational Proteomics

Model complexity and algorithm selection in classification

Mining mass spectra for diagnosis and biomarker discovery of cerebral accidents

Machine learning approaches to lung cancer prediction from mass spectra

Learning to extract relations for protein annotation

Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints

Margin and Radius Based Multiple Kernel Learning

Kernels over Relational Algebra Structures

Establishment of a European Network for Urine and Kidney Proteomics

Adaptive Matching Based Kernels for Labelled Graphs

Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs

Feature Selection for Meta-learning

Quantifying the Resilience of Inductive Classification Algorithms

Machine learning approaches to lung cancer prediction from mass spectra : Mining MALDI-TOF data

On Preprocessing of SELDI-MS Data and its Evaluation

Feature Extraction from Mass Spectra for Classification of Pathological States

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