2008 |
48 | EE | Kai Puolamäki,
Antti Ajanki,
Samuel Kaski:
Learning to learn implicit queries from gaze patterns.
ICML 2008: 760-767 |
47 | EE | Arto Klami,
Craig Saunders,
Teófilo Emídio de Campos,
Samuel Kaski:
Can relevance of images be inferred from eye movements?
Multimedia Information Retrieval 2008: 134-140 |
46 | EE | Arto Klami,
Samuel Kaski:
Probabilistic approach to detecting dependencies between data sets.
Neurocomputing 72(1-3): 39-46 (2008) |
2007 |
45 | EE | Samuel Kaski,
Jaakko Peltonen:
Learning from Relevant Tasks Only.
ECML 2007: 608-615 |
44 | EE | Jarkko Ylipaavalniemi,
Eerika Savia,
Ricardo Vigário,
Samuel Kaski:
Functional elements and networks in fMRI.
ESANN 2007: 561-566 |
43 | EE | Arto Klami,
Samuel Kaski:
Local dependent components.
ICML 2007: 425-432 |
42 | EE | Janne Sinkkonen,
Janne Aukia,
Samuel Kaski:
Inferring Vertex Properties from Topology in Large Networks.
MLG 2007 |
41 | EE | Jarkko Venna,
Samuel Kaski:
Comparison of visualization methods for an atlas of gene expression data sets.
Information Visualization 6(2): 139-154 (2007) |
2006 |
40 | EE | Udo Seiffert,
Barbara Hammer,
Samuel Kaski,
Thomas Villmann:
Neural networks and machine learning in bioinformatics - theory and applications.
ESANN 2006: 521-532 |
39 | EE | Jarkko Venna,
Samuel Kaski:
Visualizing gene interaction graphs with local multidimensional scaling.
ESANN 2006: 557-562 |
38 | EE | Jarkko Venna,
Samuel Kaski:
Local multidimensional scaling.
Neural Networks 19(6-7): 889-899 (2006) |
2005 |
37 | EE | Jarkko Salojärvi,
Kai Puolamäki,
Samuel Kaski:
On Discriminative Joint Density Modeling.
ECML 2005: 341-352 |
36 | EE | Jarkko Salojärvi,
Kai Puolamäki,
Samuel Kaski:
Implicit Relevance Feedback from Eye Movements.
ICANN (1) 2005: 513-518 |
35 | EE | Jarkko Salojärvi,
Kai Puolamäki,
Samuel Kaski:
Expectation maximization algorithms for conditional likelihoods.
ICML 2005: 752-759 |
34 | EE | Kai Puolamäki,
Jarkko Salojärvi,
Eerika Savia,
Jaana Simola,
Samuel Kaski:
Combining eye movements and collaborative filtering for proactive information retrieval.
SIGIR 2005: 146-153 |
33 | EE | Eerika Savia,
Kai Puolamäki,
Janne Sinkkonen,
Samuel Kaski:
Two-Way Latent Grouping Model for User Preference Prediction.
UAI 2005: 518-524 |
32 | EE | 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) |
31 | EE | 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) |
30 | EE | 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) |
29 | EE | Samuel Kaski,
Janne Sinkkonen,
Arto Klami:
Discriminative clustering.
Neurocomputing 69(1-3): 18-41 (2005) |
2004 |
28 | EE | Janne Sinkkonen,
Janne Nikkilä,
Leo Lahti,
Samuel Kaski:
Associative Clustering.
ECML 2004: 396-406 |
27 | EE | Jaakko Peltonen,
Janne Sinkkonen,
Samuel Kaski:
Sequential information bottleneck for finite data.
ICML 2004 |
26 | EE | Janne Nikkilä,
Christophe Roos,
Samuel Kaski:
Exploring Dependencies Between Yeast Stress Genes and Their Regulators.
IDEAL 2004: 92-98 |
25 | EE | Krista Lagus,
Samuel Kaski,
Teuvo Kohonen:
Mining massive document collections by the WEBSOM method.
Inf. Sci. 163(1-3): 135-156 (2004) |
24 | EE | Jaakko Peltonen,
Arto Klami,
Samuel Kaski:
Improved learning of Riemannian metrics for exploratory analysis.
Neural Networks 17(8-9): 1087-1100 (2004) |
23 | EE | Samuel Kaski,
Janne Sinkkonen:
Principle of Learning Metrics for Exploratory Data Analysis.
VLSI Signal Processing 37(2-3): 177-188 (2004) |
2003 |
22 | EE | Jarkko Venna,
Samuel Kaski,
Jaakko Peltonen:
Visualizations for Assessing Convergence and Mixing of MCMC.
ECML 2003: 432-443 |
21 | | Samuel Kaski,
Jaakko Peltonen:
Informative Discriminant Analysis.
ICML 2003: 329-336 |
20 | EE | 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) |
2002 |
19 | EE | Janne Sinkkonen,
Samuel Kaski,
Janne Nikkilä:
Discriminative Clustering: Optimal Contingency Tables by Learning Metrics.
ECML 2002: 418-430 |
18 | EE | Jaakko Peltonen,
Arto Klami,
Samuel Kaski:
Learning More Accurate Metrics for Self-Organizing Maps.
ICANN 2002: 999-1004 |
17 | EE | Janne Sinkkonen,
Samuel Kaski:
Clustering Based on Conditional Distributions in an Auxiliary Space.
Neural Computation 14(1): 217-239 (2002) |
16 | EE | 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) |
15 | EE | Ville Ollikainen,
Christer Bäckström,
Samuel Kaski:
Electronic editor: automatic content-based sequential compilation of newspaper articles.
Neurocomputing 43(1-4): 91-106 (2002) |
2001 |
14 | EE | Samuel Kaski,
Janne Sinkkonen,
Jaakko Peltonen:
Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics.
DaWaK 2001: 162-173 |
13 | EE | Jarkko Venna,
Samuel Kaski:
Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study.
ICANN 2001: 485-491 |
12 | EE | Samuel Kaski,
Janne Sinkkonen,
Janne Nikkilä:
Clustering Gene Expression Data by Mutual Information with Gene Function.
ICANN 2001: 81-86 |
2000 |
11 | EE | Janne Sinkkonen,
Samuel Kaski:
Clustering by Similarity in an Auxiliary Space.
IDEAL 2000: 3-8 |
10 | EE | Samuel Kaski,
Janne Sinkkonen:
Metrics that Learn Relevance.
IJCNN (5) 2000: 547-552 |
1999 |
9 | | Krista Lagus,
Timo Honkela,
Samuel Kaski,
Teuvo Kohonen:
Websom for Textual Data Mining.
Artif. Intell. Rev. 13(5-6): 345-364 (1999) |
1998 |
8 | EE | Samuel Kaski,
Janne Nikkilä,
Teuvo Kohonen:
Methods for interpreting a self-organized map in data analysis.
ESANN 1998: 185-190 |
7 | EE | Samuel Kaski,
Timo Honkela,
Krista Lagus,
Teuvo Kohonen:
WEBSOM - Self-organizing maps of document collections.
Neurocomputing 21(1-3): 101-117 (1998) |
1997 |
6 | EE | 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) |
5 | | 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) |
1996 |
4 | | Teuvo Kohonen,
Samuel Kaski,
Krista Lagus,
Timo Honkela:
Very Large Two-Level SOM for the Browsing of Newsgroups.
ICANN 1996: 269-274 |
3 | | Samuel Kaski,
Krista Lagus:
Comparing Self-Organizing Maps.
ICANN 1996: 809-814 |
2 | | Krista Lagus,
Timo Honkela,
Samuel Kaski,
Teuvo Kohonen:
Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration.
KDD 1996: 238-243 |
1994 |
1 | EE | Samuel Kaski,
Teuvo Kohonen:
Winner-take-all networks for physiological models of competitive learning.
Neural Networks 7(6-7): 973-984 (1994) |