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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]