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Samuel Kaski: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen
    Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration. [Citation Graph (2, 0)][DBLP]
    KDD, 1996, pp:238-243 [Conf]
  2. Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
    Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2001, pp:162-173 [Conf]
  3. Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
    On Discriminative Joint Density Modeling. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:341-352 [Conf]
  4. Janne Sinkkonen, Samuel Kaski, Janne Nikkilä
    Discriminative Clustering: Optimal Contingency Tables by Learning Metrics. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:418-430 [Conf]
  5. Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski
    Associative Clustering. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:396-406 [Conf]
  6. Jarkko Venna, Samuel Kaski, Jaakko Peltonen
    Visualizations for Assessing Convergence and Mixing of MCMC. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:432-443 [Conf]
  7. Samuel Kaski, Janne Nikkilä, Teuvo Kohonen
    Methods for interpreting a self-organized map in data analysis. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:185-190 [Conf]
  8. Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann
    Neural networks and machine learning in bioinformatics - theory and applications. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:521-532 [Conf]
  9. Jarkko Venna, Samuel Kaski
    Visualizing gene interaction graphs with local multidimensional scaling. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:557-562 [Conf]
  10. Samuel Kaski, Krista Lagus
    Comparing Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:809-814 [Conf]
  11. Samuel Kaski, Janne Sinkkonen, Janne Nikkilä
    Clustering Gene Expression Data by Mutual Information with Gene Function. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:81-86 [Conf]
  12. Teuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela
    Very Large Two-Level SOM for the Browsing of Newsgroups. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:269-274 [Conf]
  13. Jaakko Peltonen, Arto Klami, Samuel Kaski
    Learning More Accurate Metrics for Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:999-1004 [Conf]
  14. Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
    Implicit Relevance Feedback from Eye Movements. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:513-518 [Conf]
  15. Jarkko Venna, Samuel Kaski
    Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:485-491 [Conf]
  16. Samuel Kaski, Jaakko Peltonen
    Informative Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:329-336 [Conf]
  17. Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski
    Sequential information bottleneck for finite data. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  18. Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
    Expectation maximization algorithms for conditional likelihoods. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:752-759 [Conf]
  19. Janne Nikkilä, Christophe Roos, Samuel Kaski
    Exploring Dependencies Between Yeast Stress Genes and Their Regulators. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:92-98 [Conf]
  20. Janne Sinkkonen, Samuel Kaski
    Clustering by Similarity in an Auxiliary Space. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:3-8 [Conf]
  21. Samuel Kaski, Janne Sinkkonen
    Metrics that Learn Relevance. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:547-552 [Conf]
  22. Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, Samuel Kaski
    Combining eye movements and collaborative filtering for proactive information retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:146-153 [Conf]
  23. Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen
    Websom for Textual Data Mining. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1999, v:13, n:5-6, pp:345-364 [Journal]
  24. Samuel Kaski, Janne Nikkilä, Merja Oja, Jarkko Venna, Petri Törönen, Eero Castrén
    Trustworthiness and metrics in visualizing similarity of gene expression. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2003, v:4, n:, pp:48- [Journal]
  25. Janne Nikkilä, Christophe Roos, Eerika Savia, Samuel Kaski
    Exploratory modeling of yeast stress response and its regulation with gcca and associative clustering. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2005, v:15, n:4, pp:237-246 [Journal]
  26. Merja Oja, Göran O. Sperber, Jonas Blomberg, Samuel Kaski
    Self-organizing map-based discovery and visualization of human endogenous retroviral sequence groups. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2005, v:15, n:3, pp:163-179 [Journal]
  27. Samuel Kaski, Timo Honkela, Krista Lagus, Teuvo Kohonen
    WEBSOM - Self-organizing maps of document collections. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:21, n:1-3, pp:101-117 [Journal]
  28. Samuel Kaski, Janne Sinkkonen, Arto Klami
    Discriminative clustering. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:69, n:1-3, pp:18-41 [Journal]
  29. Ville Ollikainen, Christer Bäckström, Samuel Kaski
    Electronic editor: automatic content-based sequential compilation of newspaper articles. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:43, n:1-4, pp:91-106 [Journal]
  30. Krista Lagus, Samuel Kaski, Teuvo Kohonen
    Mining massive document collections by the WEBSOM method. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:163, n:1-3, pp:135-156 [Journal]
  31. Teuvo Kohonen, Samuel Kaski, Harri Lappalainen
    Self-organized Formation of Various Invariant-feature Filters in the Adaptive-subspace SOM. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:6, pp:1321-1344 [Journal]
  32. Janne Sinkkonen, Samuel Kaski
    Clustering Based on Conditional Distributions in an Auxiliary Space. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:1, pp:217-239 [Journal]
  33. Samuel Kaski, Teuvo Kohonen
    Winner-take-all networks for physiological models of competitive learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1994, v:7, n:6-7, pp:973-984 [Journal]
  34. Janne Nikkilä, Petri Törönen, Samuel Kaski, Jarkko Venna, Eero Castrén, Garry Wong
    Analysis and visualization of gene expression data using Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:8-9, pp:953-966 [Journal]
  35. Jaakko Peltonen, Arto Klami, Samuel Kaski
    Improved learning of Riemannian metrics for exploratory analysis. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1087-1100 [Journal]
  36. Jarkko Venna, Samuel Kaski
    Local multidimensional scaling. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:6-7, pp:889-899 [Journal]
  37. Samuel Kaski
    Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1997, v:5, n:2, pp:69-81 [Journal]
  38. Samuel Kaski, Janne Nikkilä, Janne Sinkkonen, Leo Lahti, Juha E. A. Knuuttila, Christophe Roos
    Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:203-216 [Journal]
  39. Samuel Kaski, Jaakko Peltonen
    Learning from Relevant Tasks Only. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:608-615 [Conf]
  40. Arto Klami, Samuel Kaski
    Local dependent components. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:425-432 [Conf]
  41. Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski
    Two-Way Latent Grouping Model for User Preference Prediction. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:518-524 [Conf]

  42. Functional elements and networks in fMRI. [Citation Graph (, )][DBLP]


  43. Inferring object relevance from gaze in dynamic scenes. [Citation Graph (, )][DBLP]


  44. GaZIR: gaze-based zooming interface for image retrieval. [Citation Graph (, )][DBLP]


  45. Learning to learn implicit queries from gaze patterns. [Citation Graph (, )][DBLP]


  46. An Analysis of Generalization Error in Relevant Subtask Learning. [Citation Graph (, )][DBLP]


  47. Bayesian Solutions to the Label Switching Problem. [Citation Graph (, )][DBLP]


  48. Two-Way Grouping by One-Way Topic Models. [Citation Graph (, )][DBLP]


  49. Can relevance of images be inferred from eye movements? [Citation Graph (, )][DBLP]


  50. Two-Way Analysis of High-Dimensional Collinear Data. [Citation Graph (, )][DBLP]


  51. Variational Bayesian Mixture of Robust CCA Models. [Citation Graph (, )][DBLP]


  52. Graphical Multi-way Models. [Citation Graph (, )][DBLP]


  53. Hierarchical Generative Biclustering for MicroRNA Expression Analysis. [Citation Graph (, )][DBLP]


  54. Inferring Vertex Properties from Topology in Large Networks. [Citation Graph (, )][DBLP]


  55. Automatic Choice of Control Measurements. [Citation Graph (, )][DBLP]


  56. Using dependencies to pair samples for multi-view learning. [Citation Graph (, )][DBLP]


  57. Supervised nonlinear dimensionality reduction by Neighbor Retrieval. [Citation Graph (, )][DBLP]


  58. Fast dependent components for fMRI analysis. [Citation Graph (, )][DBLP]


  59. Probabilistic retrieval and visualization of biologically relevant microarray experiments. [Citation Graph (, )][DBLP]


  60. Multivariate multi-way analysis of multi-source data. [Citation Graph (, )][DBLP]


  61. Simple integrative preprocessing preserves what is shared in data sources. [Citation Graph (, )][DBLP]


  62. Probabilistic modeling and machine learning in structural and systems biology. [Citation Graph (, )][DBLP]


  63. Methods for estimating human endogenous retrovirus activities from EST databases. [Citation Graph (, )][DBLP]


  64. Probabilistic retrieval and visualization of biologically relevant microarray experiments. [Citation Graph (, )][DBLP]


  65. Two-way analysis of high-dimensional collinear data. [Citation Graph (, )][DBLP]


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