Dick de Ridder

发表

Neural network experiences between perceptrons and support vectors

Robert P. W. Duin, Dick de Ridder, R. Duin, 1997, BMVC.

Image processing with neural networks - a review

Michael Egmont-Petersen, Heinz Handels, Dick de Ridder, 2002, Pattern Recognit..

The effect of oligonucleotide microarray data pre-processing on the analysis of patient-cohort studies

Marcel J. T. Reinders, Dick de Ridder, Frank J. T. Staal, 2006, BMC Bioinformatics.

Relational discriminant analysis

Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder, 1999, Pattern Recognit. Lett..

Topology of molecular interaction networks

Piet Van Mieghem, Marcel J. T. Reinders, Dick de Ridder, 2013, BMC Systems Biology.

Selected proceedings of Machine Learning in Systems Biology: MLSB 2016

Juho Rousu, Aalt D. J. van Dijk, Dick de Ridder, 2016, BMC Bioinformatics.

Efficient calculation of compound similarity based on maximum common subgraphs and its application to prediction of gene transcript levels

Marcel J. T. Reinders, Andreas Bender, Rogier J. P. van Berlo, 2013, Int. J. Bioinform. Res. Appl..

poreTally: run and publish de novo Nanopore assembler benchmarks

Dick de Ridder, Judith Risse, Carlos de Lannoy, 2018, bioRxiv.

Evolutionary Optimization of Kernel Weights Improves Protein Complex Comembership Prediction

Marcel J. T. Reinders, Dick de Ridder, Marc Hulsman, 2009, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

Parameter Estimation and State Estimation: An Engineering Approach using MATLAB

Robert P. W. Duin, Ferdinand van der Heijden, David M. J. Tax, 2004 .

A note on core research issues for statistical pattern recognition

Fabio Roli, Robert P. W. Duin, Dick de Ridder, 2002, Pattern Recognit. Lett..

ACE: accurate correction of errors using K-mer tries

Dick de Ridder, Siavash Sheikhizadeh, D. Ridder, 2015, Bioinform..

GeneNoteBook, a collaborative notebook for comparative genomics

Rens Holmer, Dick de Ridder, Ton Bisseling, 2019, Bioinform..

Efficient inference of homologs in large eukaryotic pan-proteomes

Dick de Ridder, Siavash Sheikhizadeh, M. Eric Schranz, 2018, BMC Bioinformatics.

On the Application of Neural Networks to Non-Linear Image Processing Tasks

Robert P. W. Duin, Lucas J. van Vliet, Piet W. Verbeek, 1998, ICONIP.

De novo detection of copy number variation by co-assembly

Marcel J. T. Reinders, Dick de Ridder, Jurgen F. Nijkamp, 2012, Bioinform..

Local Discriminant Analysis

Marco Loog, Dick de Ridder, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

The adaptive subspace map for texture segmentation

Josef Kittler, Robert P. W. Duin, Dick de Ridder, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Pattern recognition in bioinformatics

Marcel J. T. Reinders, Dick de Ridder, Jeroen de Ridder, 2013, Briefings Bioinform..

Structural, Syntactic, And Statistical Pattern Recognition: Joint Iapr International Workshops, Sspr 2004 And Spr 2004, Lisbon, Portugal, August 18-20 ... oceedings (Lecture Notes in Computer Science)

Robert P. W. Duin, Terry Caelli, Dick de Ridder, 2004 .

Pattern Recognition in Bioinformatics - 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011. Proceedings

Marcel J. T. Reinders, Lodewyk F. A. Wessels, Dick de Ridder, 2011, PRIB.

SPiCE: a web-based tool for sequence-based protein classification and exploration

Marcel J. T. Reinders, Dick de Ridder, Johannes A. Roubos, 2014, BMC Bioinformatics.

Metabolic pathway alignment between species using a comprehensive and flexible similarity measure

Marcel J. T. Reinders, Dick de Ridder, Yunlei Li, 2008, BMC Systems Biology.

Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation

Josef Kittler, Robert P. W. Duin, Dick de Ridder, 2000, BMVC.

Stability cannot be derived from local structure in biochemical networks

Marcel J. T. Reinders, Dick de Ridder, Domenico Bellomo, 2008, BIONETICS.

Cnidaria: fast, reference-free clustering of raw and assembled genome and transcriptome NGS data

Dick de Ridder, Sander Peters, Edouard Severing, 2015, BMC Bioinformatics.

Experiments with a featureless approach to pattern recognition

Robert P. W. Duin, David M. J. Tax, Dick de Ridder, 1997, Pattern Recognit. Lett..

Texture Description by Independent Components

Josef Kittler, Robert P. W. Duin, Dick de Ridder, 2002, SSPR/SPR.

Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB, 2nd Edition

Bangjun Lei, Ferdinand van der Heijden, David M. J. Tax, 2017 .

Whole-genome amplification (WGA) create specific chimeric fragments, which consist mainly of palindrome sequences. We developed the tool Pacasus to detect and correct these palindromic sequences in long reads, for example from PacBio and Nanopore

Kateryna D. Makova, Dick de Ridder, B. te Lintel Hekkert, 2017 .

Almost autonomous training of mixtures of principal component analyzers

Robert P. W. Duin, Volkan Atalay, Dick de Ridder, 2004, Pattern Recognit. Lett..

Local Topological Signatures for Network-Based Prediction of Biological Function

Piet Van Mieghem, Marcel J. T. Reinders, Dick de Ridder, 2013, PRIB.

Improved inference of intermolecular contacts through protein-protein interaction prediction using coevolutionary analysis

Aalt D. J. van Dijk, Dick de Ridder, Miguel Correa Marrero, 2019, Bioinform..

FRETboard: semi-supervised classification of fret traces

Dick de Ridder, Sung Hyun Kim, Carlos Victor de Lannoy, 2020 .

Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, ... (Lecture Notes in Computer Science)

Dit-Yan Yeung, Fabio Roli, James T. Kwok, 2006 .

A new measure for the effect of sharpening and smoothing filters on images

Robert P. W. Duin, Piet W. Verbeek, Ian T. Young, 1999 .

Technological Challenges in Defect Detection for Metal Strip; Pattern Recognition Algorithms

Robert P. W. Duin, Pieter Jonker, Dick de Ridder, 1999 .

A Matlab Toolbox for Pattern Recognition

Robert P. W. Duin, Elzbieta Pekalska, David M. J. Tax, 2004 .

Sequence features of viral and human Internal Ribosome Entry Sites predictive of their activity

Eran Segal, Dick de Ridder, Alexey A. Gritsenko, 2017, PLoS Comput. Biol..

Local Fisher embedding

Marcel J. T. Reinders, Marco Loog, Dick de Ridder, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings

Dit-Yan Yeung, Fabio Roli, James T. Kwok, 2006, SSPR/SPR.

Artificial intelligence in the lab: ask not what your computer can do for you

Dick de Ridder, 2019 .

The economics of classification: error vs. complexity

Robert P. W. Duin, Elzbieta Pekalska, Dick de Ridder, 2002, Object recognition supported by user interaction for service robots.

Unbiased Quantitative Models of Protein Translation Derived from Ribosome Profiling Data

Marcel J. T. Reinders, Dick de Ridder, Marc Hulsman, 2015, PLoS Comput. Biol..

Exploring variation-aware contig graphs for (comparative) metagenomics using MaryGold

Marcel J. T. Reinders, Mihai Pop, Dick de Ridder, 2013, Bioinform..

Robust subspace mixture models using t-distributions

Vojtech Franc, Dick de Ridder, Vojtech Franc, 2003, BMVC.

Featureless pattern classification

Robert P. W. Duin, David M. J. Tax, Dick de Ridder, 1998, Kybernetika.

Using Predictive Models to Engineer Biology: A Case Study in Codon Optimization

Marcel J. T. Reinders, Dick de Ridder, Alexey A. Gritsenko, 2013, PRIB.

Metabolic Pathway Alignment (M-Pal) Reveals Diversity and Alternatives in Conserved Networks

Marcel J. T. Reinders, Dick de Ridder, Yunlei Li, 2007, APBC.

GRASS: a generic algorithm for scaffolding next-generation sequencing assemblies

Marcel J. T. Reinders, Dick de Ridder, Jurgen F. Nijkamp, 2012, Bioinform..

Integration of prior knowledge of measurement noise in kernel density classification

Marcel J. T. Reinders, Robert P. W. Duin, Dick de Ridder, 2008, Pattern Recognit..

Supervised Locally Linear Embedding

Matti Pietikäinen, Robert P. W. Duin, Dick de Ridder, 2003, ICANN.

Conditional Random Fields for Protein Function Prediction

Marcel J. T. Reinders, Marco Loog, Dick de Ridder, 2013, PRIB.

Sammon's mapping using neural networks: A comparison

Robert P. W. Duin, Dick de Ridder, 1997, Pattern Recognit. Lett..

Protein Complex Prediction Using an Integrative Bioinformatics Approach

Marcel J. T. Reinders, Lodewyk F. A. Wessels, Rogier J. P. van Berlo, 2007, J. Bioinform. Comput. Biol..

Shared Weights Neural Networks in Image Analysis

Dick de Ridder, D. Ridder, 1996 .

Exploiting next-generation sequencing to solve the haplotyping puzzle in polyploids: a simulation study

Richard Finkers, Dick de Ridder, Chris Maliepaard, 2017, Briefings Bioinform..

Maximum significance clustering of oligonucleotide microarrays

Marcel J. T. Reinders, Dick de Ridder, Frank J. T. Staal, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

Integrating genome assemblies with MAIA

Marcel J. T. Reinders, Dick de Ridder, Wynand Winterbach, 2010, Bioinform..

Metabolite and reaction inference based on enzyme specificities

Marcel J. T. Reinders, Rogier J. P. van Berlo, Dick de Ridder, 2009, Bioinform..

A new measure for the e ect of sharpening and smoothing lters on images

Piet W. Verbeek, Dick de Ridder, Jan Walraven, 1999 .

CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations

Cleo C. van Diemen, Birgit Sikkema-Raddatz, Kristin M. Abbott, 2019, Genome Medicine.

Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger

Marcel J. T. Reinders, Dick de Ridder, Johannes Andries Roubos, 2010, PRIB.

Erratum to "Classification in the presence of class noise using a probabilistic kernel fisher method": [Pattern Recognition 40 (12) 3349-3357]

Marcel J. T. Reinders, Lodewyk F. A. Wessels, Dick de Ridder, 2008, Pattern Recognit..

Maximum signi.cance clustering of oligonucleotide microarrays

Marcel J. T. Reinders, Dick de Ridder, Frank J. T. Staal, 2005, CSB Workshops.

The Adaptive Subspace Map for Image Description and Image Database Retrieval

Josef Kittler, Robert P. W. Duin, Dick de Ridder, 2000, SSPR/SPR.

PanTools: representation, storage and exploration of pan-genomic data

Dick de Ridder, Siavash Sheikhizadeh, M. Eric Schranz, 2016, Bioinform..

Texture Segmentation Using the Mixtures of Principal Component Analyzers

Robert P. W. Duin, Volkan Atalay, Dick de Ridder, 2003, ISCIS.

Making the difference: integrating structural variation detection tools

Guusje Bonnema, Dick de Ridder, Ke Lin, 2015, Briefings Bioinform..

Metabolic network destruction: Relating topology to robustness

Piet Van Mieghem, Marcel J. T. Reinders, Dick de Ridder, 2010, Nano Commun. Networks.

Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks

Marcel J. T. Reinders, Dick de Ridder, Domenico Bellomo, 2008, EURASIP J. Bioinform. Syst. Biol..

Predicting Metabolic Fluxes Using Gene Expression Differences As Constraints

Marcel J. T. Reinders, Rogier J. P. van Berlo, Dick de Ridder, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

TriPoly: haplotype estimation for polyploids using sequencing data of related individuals

Richard Finkers, Dick de Ridder, Susan Thomson, 2018, Bioinform..

Nonlinear image processing using artificial neural networks

Robert P. W. Duin, Michael Egmont-Petersen, Piet W. Verbeek, 2003 .

Classification in the presence of class noise using a probabilistic Kernel Fisher method

Marcel J. T. Reinders, Lodewyk F. A. Wessels, Dick de Ridder, 2007, Pattern Recognit..

The Applicability of Neural Networks to Non-linear Image Processing

Robert P. W. Duin, Piet W. Verbeek, Dick de Ridder, 1999, Pattern Analysis & Applications.

Adaptive methods of image processing

Dick de Ridder, D. Ridder, 2001 .

Proceedings of the 6th IAPR international conference on Pattern recognition in bioinformatics

Marcel J. T. Reinders, Marco Loog, Lodewyk F. A. Wessels, 2011 .

Adaptive Texture Representation Methods for Automatic Target Recognition

Josef Kittler, Kieron Messer, Dick de Ridder, 1999, BMVC.

Predicting functional effect of human missense mutations

Marcel J. T. Reinders, Dick de Ridder, Jm Thornton, 2013 .

Vehicle recognition in infrared images using shared weight neural networks

Klamer Schutte, Piet B. W. Schwering, Dick de Ridder, 1998 .

Support Vector Classiiers: a Rst Look

Dick de Ridder, D. Tax, R. Duin, 1997 .

Laboratory evolution of new lactate transporter genes in a jen1Δ mutant of Saccharomyces cerevisiae and their identification as ADY2 alleles by whole-genome resequencing and transcriptome analysis

Dick de Ridder, Jack T. Pronk, Jurgen F. Nijkamp, 2012 .