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Marcel J. T. Reinders: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Theo A. Knijnenburg, Lodewyk F. A. Wessels, Marcel J. T. Reinders
    Condition Transition Analysis Reveals TF Activity Related to Nutrient-Limitation-Specific Effects of Oxygen Presence in Yeast. [Citation Graph (0, 0)][DBLP]
    CMSB, 2006, pp:271-284 [Conf]
  2. R. J. P. van Berlo, Lodewyk F. A. Wessels, S. D. C. Martes, Marcel J. T. Reinders
    Identifying Orthologs: Cycle Splitting on the Breakpoint Graph. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:65-68 [Conf]
  3. R. J. P. van Berlo, Lodewyk F. A. Wessels, S. D. C. Martes, Marcel J. T. Reinders
    Predicting gene function by combining expression and interaction data. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:166-167 [Conf]
  4. Carmen Lai, Marcel J. T. Reinders
    Multivariate gene selection: Does it help. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:99-100 [Conf]
  5. Theo A. Knijnenburg, Marcel J. T. Reinders, J. M. Daran, P. Daran-Lapujade, Lodewyk F. A. Wessels
    Relating transcription factors, modules of genes and cultivation conditions in Saccharomyces cerevisiae. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:71-72 [Conf]
  6. Dick de Ridder, Marcel J. T. Reinders, Frank J. T. Staal, Jacques J. M. van Dongen
    Maximum signi.cance clustering of oligonucleotide microarrays. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:93-94 [Conf]
  7. Eugene P. van Someren, Marcel J. T. Reinders
    Which normalization method is best? A platform-independent biologically inspired quantitative comparison of normalization methods. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:135-136 [Conf]
  8. Eugene P. van Someren, B. L. T. Vaes, W. T. Steegenga, A. M. Sijbers, K. J. Dechering, Marcel J. T. Reinders
    Unravelling the murine osteoblast differentiation pathway by network structure analysis using time-series microarray data. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:172-173 [Conf]
  9. Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T. Reinders
    Isophote Properties as Features for Object Detection. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:649-654 [Conf]
  10. Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
    A User-Item Relevance Model for Log-Based Collaborative Filtering. [Citation Graph (0, 0)][DBLP]
    ECIR, 2006, pp:37-48 [Conf]
  11. Jeroen Lichtenauer, Marcel J. T. Reinders, Emile A. Hendriks
    Influence of The Observation Likelihood Function on Particle Filtering Performance in Tracking Applications. [Citation Graph (0, 0)][DBLP]
    FGR, 2004, pp:767-772 [Conf]
  12. Marcel J. T. Reinders, R. W. C. Koch, Jan J. Gerbrands
    Locating Facial Features in Image Sequences using Neural Networks. [Citation Graph (0, 0)][DBLP]
    FG, 1996, pp:230-235 [Conf]
  13. Resmana Lim, Marcel J. T. Reinders
    Facial Landmarks Localization Based on Fuzzy and Gabor Wavelet Graph Matching. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:683-686 [Conf]
  14. John G. M. Schavemaker, Marcel J. T. Reinders
    Information Fusion for Conflict Resolution in Map Interpretation. [Citation Graph (0, 0)][DBLP]
    GREC, 1997, pp:231-242 [Conf]
  15. Jan C. A. van der Lubbe, Eugene P. van Someren, Marcel J. T. Reinders
    Dating and Authentication of Rembrandt's Etchings with the Help of Computational Intelligence. [Citation Graph (0, 0)][DBLP]
    ICHIM (1), 2001, pp:485-492 [Conf]
  16. Andrei Rares, Marcel J. T. Reinders
    Object Tracking by Adaptive Modeling. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  17. Andrei Rares, Marcel J. T. Reinders, Jan Biemond
    Complex event classification in degraded image sequences. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2001, pp:253-256 [Conf]
  18. Andrei Rares, Marcel J. T. Reinders, Reginald L. Lagendijk, Jan Biemond
    A spatiotemporal image sequence restoration algorithm. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2002, pp:857-860 [Conf]
  19. Cor J. Veenman, Emile A. Hendriks, Marcel J. T. Reinders
    A Fast and Robust Point Tracking Algorithm. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1998, pp:653-657 [Conf]
  20. Jun Wang, Marcel J. T. Reinders, Reginald L. Lagendijk, J. Lindenberg, Mohan S. Kankanhalli
    Video content representation on tiny devices. [Citation Graph (0, 0)][DBLP]
    ICME, 2004, pp:1711-1714 [Conf]
  21. Bang Jun Lei, Emile A. Hendriks, Marcel J. T. Reinders
    Detecting Generic Low-Level Features in Images. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3979-3982 [Conf]
  22. Ilse Ravyse, Hichem Sahli, Jan Cornelis, Marcel J. T. Reinders
    Eye Activity Detection and Recognition Using Morphological Scale-Space Decomposition. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:5080-5083 [Conf]
  23. Dick de Ridder, Marco Loog, Marcel J. T. Reinders
    Local Fisher Embedding. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:295-298 [Conf]
  24. Eugene P. van Someren, Lodewyk F. A. Wessels, Marcel J. T. Reinders
    Linear Modeling of Genetic Networks from Experimental Data. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:355-366 [Conf]
  25. Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
    Competitive Segmentation: A Struggle for Image Space. [Citation Graph (0, 0)][DBLP]
    PPSN, 2000, pp:517-526 [Conf]
  26. Lodewyk F. A. Wessels, Eugene P. van Someren, Marcel J. T. Reinders
    A Comparison of Genetic Network Models. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2001, pp:508-519 [Conf]
  27. Jun Wang, Johan A. Pouwelse, Reginald L. Lagendijk, Marcel J. T. Reinders
    Distributed collaborative filtering for peer-to-peer file sharing systems. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:1026-1030 [Conf]
  28. Jun Wang, Marcel J. T. Reinders, Reginald L. Lagendijk, Johan A. Pouwelse
    Self-organizing distributed collaborative filtering. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:659-660 [Conf]
  29. Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
    Unifying user-based and item-based collaborative filtering approaches by similarity fusion. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:501-508 [Conf]
  30. Peter J. van der Veen, Lodewyk F. A. Wessels, J. W. Slootstra, R. H. Meloen, Marcel J. T. Reinders, J. Hellendoorn
    Determination of Binding Amino Acids Based on Random Peptide Array Screening Data. [Citation Graph (0, 0)][DBLP]
    WABI, 2001, pp:264-277 [Conf]
  31. Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
    Establishing motion correspondence using extended temporal scope. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2003, v:145, n:1-2, pp:227-243 [Journal]
  32. Dick de Ridder, Frank J. T. Staal, Jacques J. M. van Dongen, Marcel J. T. Reinders
    Maximum significance clustering of oligonucleotide microarrays. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:3, pp:326-331 [Journal]
  33. Eugene P. van Someren, B. L. T. Vaes, W. T. Steegenga, A. M. Sijbers, K. J. Dechering, Marcel J. T. Reinders
    Least absolute regression network analysis of the murine osteoblast differentiation network. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:4, pp:477-484 [Journal]
  34. Lodewyk F. A. Wessels, Marcel J. T. Reinders, Augustinus A. M. Hart, Cor J. Veenman, Hongyue Dai, Yudong D. He, Laura J. van't Veer
    A protocol for building and evaluating predictors of disease state based on microarray data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:19, pp:3755-3762 [Journal]
  35. Carmen Lai, Marcel J. T. Reinders, Laura J. van't Veer, Lodewyk F. A. Wessels
    A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:235- [Journal]
  36. Roel G. W. Verhaak, Frank J. T. Staal, Peter J. M. Valk, Bob Lowenberg, Marcel J. T. Reinders, Dick de Ridder
    The effect of oligonucleotide microarray data pre-processing on the analysis of patient-cohort studies. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:105- [Journal]
  37. J. P. De Knecht, John G. M. Schavemaker, Marcel J. T. Reinders, Albert M. Vossepoel
    Utility map reconstruction. [Citation Graph (0, 0)][DBLP]
    International Journal of Geographical Information Science, 2001, v:15, n:1, pp:7-26 [Journal]
  38. Jasper P. Janssen, Michael Egmont-Petersen, Emile A. Hendriks, Marcel J. T. Reinders, Rob J. van der Geest, P. C. W. Hogendoorn, Johan H. C. Reiber
    Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR images with inherent scale selection. [Citation Graph (0, 0)][DBLP]
    Journal of Visualization and Computer Animation, 2002, v:13, n:1, pp:1-19 [Journal]
  39. Cor J. Veenman, Marcel J. T. Reinders
    The Nearest Subclass Classifier: A Compromise between the Nearest Mean and Nearest Neighbor Classifier. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:9, pp:1417-1429 [Journal]
  40. Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
    Resolving Motion Correspondence for Densely Moving Points. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:1, pp:54-72 [Journal]
  41. Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
    A Maximum Variance Cluster Algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:9, pp:1273-1280 [Journal]
  42. John G. M. Schavemaker, Marcel J. T. Reinders, Jan J. Gerbrands, Eric Backer
    Image sharpening by morphological filtering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:6, pp:997-1012 [Journal]
  43. Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
    Motion tracking as a constrained optimization problem. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:9, pp:2049-2067 [Journal]
  44. P. J. H. Bronkorsta, Marcel J. T. Reinders, Emile A. Hendriks, J. Grimbergen, R. M. Heethaar, G. J. Brakenhoff
    On-line detection of red blood cell shape using deformable templates. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2000, v:21, n:5, pp:413-424 [Journal]
  45. Theo A. Knijnenburg, Marcel J. T. Reinders, Lodewyk F. A. Wessels
    Artifacts of Markov blanket filtering based on discretized features in small sample size applications. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:7, pp:709-714 [Journal]
  46. Carmen Lai, Marcel J. T. Reinders, Lodewyk F. A. Wessels
    Random subspace method for multivariate feature selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:10, pp:1067-1076 [Journal]
  47. Lodewyk F. A. Wessels, Eugene P. van Someren, Marcel J. T. Reinders
    Information processing for intelligent molecular diagnosis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1457-1465 [Journal]
  48. Andrei Rares, Marcel J. T. Reinders, Jan Biemond
    Edge-Based Image Restoration. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2005, v:14, n:10, pp:1454-1468 [Journal]
  49. Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
    A cellular coevolutionary algorithm for image segmentation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2003, v:12, n:3, pp:304-316 [Journal]
  50. Eugene P. van Someren, Lodewyk F. A. Wessels, Eric Backer, Marcel J. T. Reinders
    Multi-criterion optimization for genetic network modeling. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:4, pp:763-775 [Journal]
  51. Jeroen Lichtenauer, Marcel J. T. Reinders, Emile A. Hendriks
    A self-calibrating chrominance model applied to skin color detection. [Citation Graph (0, 0)][DBLP]
    VISAPP (1), 2007, pp:115-120 [Conf]
  52. Yunlei Li, Lodewyk F. A. Wessels, Dick de Ridder, Marcel J. T. Reinders
    Classification in the presence of class noise using a probabilistic Kernel Fisher method. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:12, pp:3349-3357 [Journal]
  53. Yunlei Li, Dick de Ridder, Robert P. W. Duin, Marcel J. T. Reinders
    Integration of prior knowledge of measurement noise in kernel density classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2008, v:41, n:1, pp:320-330 [Journal]
  54. Yunlei Li, Lodewyk F. A. Wessels, Dick de Ridder, Marcel J. T. Reinders
    Erratum to "Classification in the presence of class noise using a probabilistic kernel fisher method": [Pattern Recognition 40 (12) 3349-3357]. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2008, v:41, n:3, pp:1214- [Journal]

  55. Metabolic Pathway Alignment (M-Pal) Reveals Diversity and Alternatives in Conserved Networks. [Citation Graph (, )][DBLP]


  56. Sign language detection using 3D visual cues. [Citation Graph (, )][DBLP]


  57. Finding Wormholes with Flickr Geotags. [Citation Graph (, )][DBLP]


  58. A learning environment for sign language. [Citation Graph (, )][DBLP]


  59. Learning to recognize a sign from a single example. [Citation Graph (, )][DBLP]


  60. Influence of Handshape Information on Automatic Sign Language Recognition. [Citation Graph (, )][DBLP]


  61. Person-Independent 3D Sign Language Recognition. [Citation Graph (, )][DBLP]


  62. 2D/3D Registration of Micro-CT Data to Multi-View Photographs Based on a 3D Distance Map. [Citation Graph (, )][DBLP]


  63. Co-occurrence analysis of insertional mutagenesis data reveals cooperating oncogenes. [Citation Graph (, )][DBLP]


  64. Combinatorial influence of environmental parameters on transcription factor activity. [Citation Graph (, )][DBLP]


  65. Detecting synonyms in social tagging systems to improve content retrieval. [Citation Graph (, )][DBLP]


  66. Using flickr geotags to predict user travel behaviour. [Citation Graph (, )][DBLP]


  67. Exploiting Positive and Negative Graded Relevance Assessments for Content Recommendation. [Citation Graph (, )][DBLP]


  68. Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger. [Citation Graph (, )][DBLP]


  69. Sign language perception research for improving automatic sign language recognition. [Citation Graph (, )][DBLP]


  70. Fewer permutations, more accurate P-values. [Citation Graph (, )][DBLP]


  71. Metabolite and reaction inference based on enzyme specificities. [Citation Graph (, )][DBLP]


  72. Inferring combinatorial association logic networks in multimodal genome-wide screens. [Citation Graph (, )][DBLP]


  73. SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets. [Citation Graph (, )][DBLP]


  74. Comparison of normalisation methods for surface-enhanced laser desorption and ionisation (SELDI) time-of-flight (TOF) mass spectrometry data. [Citation Graph (, )][DBLP]


  75. Analysis of mass spectrometry data using sub-spectra. [Citation Graph (, )][DBLP]


  76. Knowledge driven decomposition of tumor expression profiles. [Citation Graph (, )][DBLP]


  77. A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability. [Citation Graph (, )][DBLP]


  78. Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization. [Citation Graph (, )][DBLP]


  79. HAT: Hypergeometric Analysis of Tiling-arrays with application to promoter-GeneChip data. [Citation Graph (, )][DBLP]


  80. TRIBLER: a social-based peer-to-peer system. [Citation Graph (, )][DBLP]


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