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Samuel Kaski

Papers on DiSC'06


Combining eye movements and collaborative filtering for proactive information retrieval

Publications


Note: Links lead to the DBLP on the Web.

Samuel Kaski

Jarkko Salojärvi , Kai Puolamäki , Samuel Kaski: On Discriminative Joint Density Modeling. ECML 2005 : 341-352

Jarkko Salojärvi , Kai Puolamäki , Samuel Kaski: Implicit Relevance Feedback from Eye Movements. ICANN (1) 2005 : 513-518

Jarkko Salojärvi , Kai Puolamäki , Samuel Kaski: Expectation maximization algorithms for conditional likelihoods. ICML 2005 : 752-759

Kai Puolamäki , Jarkko Salojärvi , Eerika Savia , Jaana Simola , Samuel Kaski: Combining eye movements and collaborative filtering for proactive information retrieval. SIGIR 2005 : 146-153

Samuel Kaski, Janne Nikkilä , Janne Sinkkonen , Leo Lahti , Juha E. A. Knuuttila , Christophe Roos : Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets. IEEE/ACM Trans. Comput. Biology Bioinform. 2 (3): 203-216 (2005)

Merja Oja , Göran O. Sperber , Jonas Blomberg , Samuel Kaski: Self-organizing map-based discovery and visualization of human endogenous retroviral sequence groups. Int. J. Neural Syst. 15 (3): 163-179 (2005)

Janne Nikkilä , Christophe Roos , Eerika Savia , Samuel Kaski: Exploratory modeling of yeast stress response and its regulation with gcca and associative clustering. Int. J. Neural Syst. 15 (4): 237-246 (2005)

Samuel Kaski, Janne Sinkkonen , Arto Klami : Discriminative clustering. Neurocomputing 69 (1-3): 18-41 (2005)

Janne Sinkkonen , Janne Nikkilä , Leo Lahti , Samuel Kaski: Associative Clustering. ECML 2004 : 396-406

Jaakko Peltonen , Janne Sinkkonen , Samuel Kaski: Sequential information bottleneck for finite data. ICML 2004

Janne Nikkilä , Christophe Roos , Samuel Kaski: Exploring Dependencies Between Yeast Stress Genes and Their Regulators. IDEAL 2004 : 92-98

Krista Lagus , Samuel Kaski, Teuvo Kohonen : Mining massive document collections by the WEBSOM method. Inf. Sci. 163 (1-3): 135-156 (2004)

Jaakko Peltonen , Arto Klami , Samuel Kaski: Improved learning of Riemannian metrics for exploratory analysis. Neural Networks 17 (8-9): 1087-1100 (2004)

Jarkko Venna , Samuel Kaski, Jaakko Peltonen : Visualizations for Assessing Convergence and Mixing of MCMC. ECML 2003 : 432-443

Samuel Kaski, Jaakko Peltonen : Informative Discriminant Analysis. ICML 2003 : 329-336

Samuel Kaski, Janne Nikkilä , Merja Oja , Jarkko Venna , Petri Törönen , Eero Castrén : Trustworthiness and metrics in visualizing similarity of gene expression. BMC Bioinformatics 4 : 48 (2003)

Janne Sinkkonen , Samuel Kaski, Janne Nikkilä : Discriminative Clustering: Optimal Contingency Tables by Learning Metrics. ECML 2002 : 418-430

Jaakko Peltonen , Arto Klami , Samuel Kaski: Learning More Accurate Metrics for Self-Organizing Maps. ICANN 2002 : 999-1004

Janne Sinkkonen , Samuel Kaski: Clustering Based on Conditional Distributions in an Auxiliary Space. Neural Computation 14 (1): 217-239 (2002)

Janne Nikkilä , Petri Törönen , Samuel Kaski, Jarkko Venna , Eero Castrén , Garry Wong : Analysis and visualization of gene expression data using Self-Organizing Maps. Neural Networks 15 (8-9): 953-966 (2002)

Ville Ollikainen , Christer Bäckström , Samuel Kaski: Electronic editor: automatic content-based sequential compilation of newspaper articles. Neurocomputing 43 (1-4): 91-106 (2002)

Samuel Kaski, Janne Sinkkonen , Jaakko Peltonen : Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. DaWaK 2001 : 162-173

Jarkko Venna , Samuel Kaski: Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study. ICANN 2001 : 485-491

Samuel Kaski, Janne Sinkkonen , Janne Nikkilä : Clustering Gene Expression Data by Mutual Information with Gene Function. ICANN 2001 : 81-86

Janne Sinkkonen , Samuel Kaski: Clustering by Similarity in an Auxiliary Space. IDEAL 2000 : 3-8

Samuel Kaski, Janne Sinkkonen : Metrics that Learn Relevance. IJCNN (5) 2000 : 547-552

Krista Lagus , Timo Honkela , Samuel Kaski, Teuvo Kohonen : Websom for Textual Data Mining. Artif. Intell. Rev. 13 (5-6): 345-364 (1999)

Samuel Kaski, Timo Honkela , Krista Lagus , Teuvo Kohonen : WEBSOM - Self-organizing maps of document collections. Neurocomputing 21 (1-3): 101-117 (1998)

Teuvo Kohonen , Samuel Kaski, Harri Lappalainen : Self-organized Formation of Various Invariant-feature Filters in the Adaptive-subspace SOM. Neural Computation 9 (6): 1321-1344 (1997)

Samuel Kaski: Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method. Neural Processing Letters 5 (2): 69-81 (1997)

Teuvo Kohonen , Samuel Kaski, Krista Lagus , Timo Honkela : Very Large Two-Level SOM for the Browsing of Newsgroups. ICANN 1996 : 269-274

Samuel Kaski, Krista Lagus : Comparing Self-Organizing Maps. ICANN 1996 : 809-814

Krista Lagus , Timo Honkela , Samuel Kaski, Teuvo Kohonen : Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration. KDD 1996 : 238-243

Samuel Kaski, Teuvo Kohonen : Winner-take-all networks for physiological models of competitive learning. Neural Networks 7 (6-7): 973-984 (1994)

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