121 - 140 out of 1,518Page size: 20
  1. Article › Scientific › Peer-reviewed
  2. Component-based discriminative classification for hidden Markov models

    Bicego, M., Pekalska, EM., Tax, DMJ. & Duin, RPW., 2009, In : Pattern Recognition. 42, 11, p. 2637-2648 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Computational estimation of the composition of fat/oil mixtures containing interestification from gas and liquid chromatography data

    van Vliet, MH., van Kempen, G., de Ridder, D. & Reinders, MJT., 2005, In : JAOCS: Journal of the American Oil Chemists' Society. 82, 10, p. 707-716 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Computational estimation of the triacylglycerol composition of vegetable fats from gas and liquid chromatography data

    van Vliet, MH. & van Kempen, GMP., 2004, In : European Journal of Lipid Science and Technology. 106, 10, p. 697-706 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Concordance among gene-expression-based predictors for breast cancer

    Fan, C., Oh, DS., Wessels, LFA., Weigelt, B., Nuyten, DSA., Nobel, AB., van 't Veer, LJ. & Perou, CM., 2006, In : New England Journal of Medicine. 355, 6, p. 560-569 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response

    de Ronde, JJ., Hannemann, J., Halfwerk, H., Mulder, L., Straver, ME., Vrancken Peeters, MJTFD., Wesseling, J., van de Vijver, M., Wessels, LFA. & Rodenhuis, S., 2009, In : Breast Cancer Research and Treatment. 119, 1, p. 119-126 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Conditional Shape Models for Cardiac Motion Estimation

    Metz, CT., Baka, N., Kirisli, HA., Schaap, MA., van Walsum, T., Klein, S., Neefjes, L., Mollet, NRA., Lelieveldt, BPF., Bruijne, M. & Niessen, WJ., 2010, In : Lecture Notes in Computer Science. 6361, p. 452-459 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Constrained parameter estimation for semi-supervised learning: The case of the nearest mean classifier

    Loog, M., 2010, In : Lecture Notes in Artificial Intelligence. 6322, p. 291-304 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Constrained texture restoration

    Rares, A., Reinders, MJT. & Biemond, J., 2005, In : Eurasip Journal on Applied Signal Processing. 17, p. 2758-2771 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Continuous Multi-way Shape Measure for Dissimilarity Representation

    Porro Munoz, D., Duin, RPW., Orozco Alzate, M. & Talavera Bustamante, I., 2012, In : Lecture Notes in Computer Science. 7441, p. 430-437 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Converting a breast cancer microarray signature into a high-throughput diagnostic test

    Glas, AM., Floore, A., Delahaye, LJMJ., Witteveen, AT., Pover, RCF., Bakx, N., Lahti-Domenici, JST., Bruinsma, TJ., Warmoes, MO., Bernards, R., Wessels, LFA. & van 't Veer, LJ., 2006, In : BMC Genomics. 2006, 7:278, p. 1-10 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  12. Corpus development for affective video indexing

    Soleymani, M., Larson, MA., Pun, T. & Hanjalic, A., 2014, In : IEEE Transactions on Multimedia. 16, 4, p. 1075-1089 15 p.

    Research output: Contribution to journalArticleScientificpeer-review

  13. Correlation between centrality metrics and their application to the opinion model

    Li, C., Li, Q., van Mieghem, PFA., Stanley, H. E. & Wang, H., 2015, In : European Physical Journal B. Condensed Matter and Complex Systems. 88, 3, p. 1-13 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Correlation-based and model-based blijnd single-channel late-reverberation suppression in noisy time-varying accoustical environments

    Erkelens, JS. & Heusdens, R., 2010, In : IEEE Transactions on Audio, Speech and Language Processing. 18, 7, p. 1746-1765 20 p.

    Research output: Contribution to journalArticleScientificpeer-review

  15. Coupling dynamics of epidemic spreading and information diffusion on complex networks

    Zhan, X., Liu, C., Zhou, G., Zhang, Z-K., Sun, G-Q., Zhu, J. J. H. & Jin, Z., 2018, In : Applied Mathematics and Computation. 332, p. 437-448 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  16. Creating gene set activity profiles with time-series expression data

    Knijnenburg, TA., Wessels, LFA. & Reinders, MJT., 2008, In : International Journal of Bioinformatics Research and Applications (online). 4, 3, p. 306-322 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  17. Cross-validated Cox regression on microarray gene expression data

    van Houwelingen, HC., Bruinsma, T., Hart, AAM., van 't Veer, LJ. & Wessels, LFA., 2006, In : Statistics in Medicine. 25, 18, p. 3201-3216 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Cryptanalysis of an EPC class-1 generation-2 standard compliant authentication protocol

    Peris Lopez, P., Hernandez-Castro, JC., Tapiador, JME. & van der Lubbe, JCA., 2011, In : Engineering Applications of Artificial Intelligence. 24, 6, p. 1061-1069 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  19. DNA micoarrays for comparison of gene expression profiles between diagnosis and relapse in precursor-B acute lymphoblastic leukemia: choice of technique and purification influence the identification of potential diagnostic markers

    Staal, FJT., van der Burg, M., Wessels, LFA., Barendregt, BH., Baert, MRM., van den Burg, CMM., Van Huffel, C., Langerak, AW., van der Velden, VHJ., Reinders, MJT. & van Dongen, JJM., 2003, In : Leukemia. 17, p. 1024-1032 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  20. Decentralized protection strategies against sis epidemics in networks

    Trajanovski, S., Hayel, Y., Altman, E., Wang, H. & Van Mieghem, PFA., 2015, In : IEEE Transactions on Control of Network Systems. 2, 4, p. 406-419 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  21. Degree-biased random walk for large-scale network embedding

    Zhang, Y., Shi, Z., Feng, D. & Zhan, X., 2019, In : Future Generation Computer Systems. 100, p. 198-209 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

Previous 1...3 4 5 6 7 8 9 10 ...76 Next

ID: 20548