Samuel Kaski

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)

Coauthor Index

1	Antti Ajanki	[48]
2	Janne Aukia	[42]
3	Christer Bäckström	[15]
4	Jonas Blomberg	[31]
5	Teófilo Emídio de Campos	[47]
6	Eero Castrén	[16] [20]
7	Barbara Hammer	[40]
8	Timo Honkela	[2] [4] [7] [9]
9	Arto Klami	[18] [24] [29] [43] [46] [47]
10	Juha E. A. Knuuttila	[32]
11	Teuvo Kohonen	[1] [2] [4] [6] [7] [8] [9] [25]
12	Krista Lagus	[2] [3] [4] [7] [9] [25]
13	Leo Lahti	[28] [32]
14	Harri Lappalainen	[6]
15	Janne Nikkilä	[8] [12] [16] [19] [20] [26] [28] [30] [32]
16	Merja Oja	[20] [31]
17	Ville Ollikainen	[15]
18	Jaakko Peltonen	[14] [18] [21] [22] [24] [27] [45]
19	Kai Puolamäki	[33] [34] [35] [36] [37] [48]
20	Christophe Roos	[26] [30] [32]
21	Jarkko Salojärvi	[34] [35] [36] [37]
22	Craig Saunders	[47]
23	Eerika Savia	[30] [33] [34] [44]
24	Udo Seiffert	[40]
25	Jaana Simola	[34]
26	Janne Sinkkonen	[10] [11] [12] [14] [17] [19] [23] [27] [28] [29] [32] [33] [42]
27	Göran O. Sperber	[31]
28	Petri Törönen	[16] [20]
29	Jarkko Venna	[13] [16] [20] [22] [38] [39] [41]
30	Ricardo Vigário	[44]
31	Thomas Villmann	[40]
32	Garry Wong	[16]
33	Jarkko Ylipaavalniemi	[44]

Colors in the list of coauthors