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Publications of Author

1. Peter H. Carstensen, Morten Nielsen
   Characterizing modes of coordination: a comparison between oral and artifact based coordination. [Citation Graph (0, 0)][DBLP]
   GROUP, 2001, pp:81-90 [Conf]
   
2. Peter H. Carstensen, Morten Nielsen
   Towards Computer Support for Cooperation in Time-Critical Work Settings. [Citation Graph (0, 0)][DBLP]
   HCI (1), 1997, pp:101-104 [Conf]
   
3. Rémi Gribonval, Morten Nielsen
   On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries. [Citation Graph (0, 0)][DBLP]
   ICA, 2004, pp:201-208 [Conf]
   
4. Claus Lundegaard, Morten Nielsen, Kasper Lamberth, Peder Worning, Christina Sylvester-Hvid, Søren Buus, Søren Brunak, Ole Lund
   MHC Class I Epitope Binding Prediction Trained on Small Data Sets. [Citation Graph (0, 0)][DBLP]
   ICARIS, 2004, pp:217-225 [Conf]
   
5. Rémi Gribonval, Morten Nielsen
   Sparse decompositions in "incoherent" dictionaries. [Citation Graph (0, 0)][DBLP]
   ICIP (1), 2003, pp:33-36 [Conf]
   
6. Claus Lundegaard, Thomas Nordahl Petersen, Morten Nielsen, Henrik Bohr, Jakob Bohr, Søren Brunak, Garry Gippert, Ole Lund
   Prediction of Protein Secondary Structure at High Accuracy Using a Combination of Many Neural Networks. [Citation Graph (0, 0)][DBLP]
   Mathematical Methods for Protein Structure Analysis and Design, 2003, pp:117-122 [Conf]
   
7. Morten Nielsen, Claus Lundegaard, Peder Worning, Christina Sylvester-Hvid, Kasper Lamberth, Søren Buus, Søren Brunak, Ole Lund
   Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 2004, v:20, n:9, pp:1388-1397 [Journal]
   
8. Lasse Borup, Morten Nielsen
   Approximation with brushlet systems. [Citation Graph (0, 0)][DBLP]
   Journal of Approximation Theory, 2003, v:123, n:1, pp:25-51 [Journal]
   
9. Morten Nielsen
   On the Construction and Frequency Localization of Finite Orthogonal Quadrature Filters. [Citation Graph (0, 0)][DBLP]
   Journal of Approximation Theory, 2001, v:108, n:1, pp:36-52 [Journal]
   
10. Jens Kaae Christensen, Kasper Lamberth, Morten Nielsen, Claus Lundegaard, Peder Worning, Sanne Lise Lauemøller, Søren Buus, Søren Brunak, Ole Lund
    Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:12, pp:2931-2942 [Journal]
    
11. Rémi Gribonval, Morten Nielsen
    Sparse representations in unions of bases. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2003, v:49, n:12, pp:3320-3325 [Journal]
    
12. Rémi Gribonval, Morten Nielsen
    Sparse approximations in signal and image processing. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2006, v:86, n:3, pp:415-416 [Journal]
    
13. Lasse Borup, Morten Nielsen
    Fast adaptive expansions in local trigonometric bases. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:2, pp:445-451 [Journal]
    
14. Morten Nielsen
    On polynomial symbols for subdivision schemes. [Citation Graph (0, 0)][DBLP]
    Adv. Comput. Math., 2007, v:27, n:2, pp:195-209 [Journal]
    
15. 
    Beyond sparsity: Recovering structured representations by l¹{\ell}^1 minimization and greedy algorithms. [Citation Graph (, )][DBLP]
    
    
16. 
    Approximate Weak Greedy Algorithms. [Citation Graph (, )][DBLP]
    
    
17. 
    Modeling the adaptive immune system: predictions and simulations. [Citation Graph (, )][DBLP]
    
    
18. 
    Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers. [Citation Graph (, )][DBLP]
    
    
19. 
    Correction for phylogeny, small number of observations and data redundancy improves the identification of coevolving amino acid pairs using mutual information. [Citation Graph (, )][DBLP]
    
    
20. 
    Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods. [Citation Graph (, )][DBLP]
    
    
21. 
    The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide binding. [Citation Graph (, )][DBLP]
    
    
22. 
    Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction. [Citation Graph (, )][DBLP]
    
    
23. 
    Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method. [Citation Graph (, )][DBLP]
    
    
24. 
    NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction. [Citation Graph (, )][DBLP]