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Tijl De Bie: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tijl De Bie, Michinari Momma, Nello Cristianini
    Efficiently Learning the Metric with Side-Information. [Citation Graph (0, 0)][DBLP]
    ALT, 2003, pp:175-189 [Conf]
  2. Alexander N. Dolia, Tijl De Bie, Christopher J. Harris, John Shawe-Taylor, D. M. Titterington
    The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:630-637 [Conf]
  3. Tijl De Bie, Nello Cristianini
    Convex Methods for Transduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  4. Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal
    Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2005, pp:- [Conf]
  5. Tijl De Bie, Nello Cristianini
    Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:16-29 [Conf]
  6. Tijl De Bie, Johan A. K. Suykens, Bart De Moor
    Learning from General Label Constraints. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:671-679 [Conf]
  7. Tijl De Bie, Nello Cristianini, Jeffery P. Demuth, Matthew W. Hahn
    CAFE: a computational tool for the study of gene family evolution. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:10, pp:1269-1271 [Journal]
  8. Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble
    A statistical framework for genomic data fusion. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:16, pp:2626-2635 [Journal]
  9. Tijl De Bie, Nello Cristianini
    Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1409-1436 [Journal]
  10. Elisa Ricci, Tijl De Bie, Nello Cristianini
    Discriminative Sequence Labeling by Z-Score Optimization. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:274-285 [Conf]
  11. Elisa Ricci, Tijl De Bie, Nello Cristianini
    Learning to Align: A Statistical Approach. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:25-36 [Conf]
  12. Arianna Gallo, Tijl De Bie, Nello Cristianini
    MINI: Mining Informative Non-redundant Itemsets. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:438-445 [Conf]

  13. Deploying SDP for machine learning. [Citation Graph (, )][DBLP]


  14. A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning. [Citation Graph (, )][DBLP]


  15. An Intelligent Agent That Autonomously Learns How to Translate. [Citation Graph (, )][DBLP]


  16. Kernel-based data fusion for gene prioritization. [Citation Graph (, )][DBLP]


  17. Found in Translation. [Citation Graph (, )][DBLP]


  18. Inference and Validation of Networks. [Citation Graph (, )][DBLP]


  19. Detecting Events in a Million New York Times Articles. [Citation Graph (, )][DBLP]


  20. Flu Detector - Tracking Epidemics on Twitter. [Citation Graph (, )][DBLP]


  21. Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer. [Citation Graph (, )][DBLP]


  22. An Information-Theoretic Approach to Finding Informative Noisy Tiles in Binary Databases. [Citation Graph (, )][DBLP]


  23. ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules. [Citation Graph (, )][DBLP]


  24. Explicit probabilistic models for databases and networks [Citation Graph (, )][DBLP]


  25. Reconstruction of Causal Networks by Set Covering [Citation Graph (, )][DBLP]


  26. Maximum entropy models and subjective interestingness: an application to tiles in binary databases [Citation Graph (, )][DBLP]


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