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| 2012 | ||
|---|---|---|
| 106 | José Caldas, Nils Gehlenborg, Eeva Kettunen, Ali Faisal, Mikko Rönty, Andrew G. Nicholson, Sakari Knuutila, Alvis Brazma, Samuel Kaski: Data-driven information retrieval in heterogeneous collections of transcriptomics data links SIM2s to malignant pleural mesothelioma. Bioinformatics 28(2): 246-253 (2012) | |
| 105 | Leo Lahti, Juha E. A. Knuuttila, Samuel Kaski: Global modeling of transcriptional responses in interaction networks CoRR abs/1202.0501: (2012) | |
| 104 | Arto Klami, Seppo Virtanen, Samuel Kaski: Bayesian exponential family projections for coupled data sources CoRR abs/1203.3489: (2012) | |
| 103 | Seppo Virtanen, Arto Klami, Suleiman Khan, Samuel Kaski: Bayesian Group Factor Analysis. Journal of Machine Learning Research - Proceedings Track 22: 1269-1277 (2012) | |
| 102 | Jaakko Peltonen, Tapani Raiko, Samuel Kaski: Machine learning for signal processing 2010. Neurocomputing 80: 1-2 (2012) | |
| 2011 | ||
| 101 | Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski: Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I Springer 2011 | |
| 100 | Timo Honkela, Wlodzislaw Duch, Mark A. Girolami, Samuel Kaski: Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II Springer 2011 | |
| 99 | Gayle Leen, Jaakko Peltonen, Samuel Kaski: Focused Multi-task Learning Using Gaussian Processes. ECML/PKDD (2) 2011: 310-325 | |
| 98 | Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, Samuel Kaski: Cross-Species Translation of Multi-way Biomarkers. ICANN (1) 2011: 209-216 | |
| 97 | Antti Ajanki, Samuel Kaski: Probabilistic Proactive Timeline Browser. ICANN (2) 2011: 357-364 | |
| 96 | Seppo Virtanen, Arto Klami, Samuel Kaski: Bayesian CCA via Group Sparsity. ICML 2011: 457-464 | |
| 95 | Mehmet Gönen, Melih Kandemir, Samuel Kaski: Multitask Learning Using Regularized Multiple Kernel Learning. ICONIP (2) 2011: 500-509 | |
| 94 | Leo Lahti, Laura Elo, Tero Aittokallio, Samuel Kaski: RPA: Probabilistic analysis of probe performance and robust summarization CoRR abs/1109.4928: (2011) | |
| 93 | Abhishek Tripathi, Arto Klami, Matej Oresic, Samuel Kaski: Matching samples of multiple views. Data Min. Knowl. Discov. 23(2): 300-321 (2011) | |
| 92 | Samuel Kaski, Jaakko Peltonen: Dimensionality Reduction for Data Visualization [Applications Corner]. IEEE Signal Process. Mag. 28(2): 100-104 (2011) | |
| 91 | Leo Lahti, Laura Elo, Tero Aittokallio, Samuel Kaski: Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays. IEEE/ACM Trans. Comput. Biology Bioinform. 8(1): 217-225 (2011) | |
| 90 | Jaakko Peltonen, Samuel Kaski: Generative Modeling for Maximizing Precision and Recall in Information Visualization. Journal of Machine Learning Research - Proceedings Track 15: 579-587 (2011) | |
| 89 | S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel: Introduction to the special issue on mining and learning with graphs. Machine Learning 82(2): 91-93 (2011) | |
| 88 | Marko Sysi-Aho, Andrey Ermolov, Peddinti V. Gopalacharyulu, Abhishek Tripathi, Tuulikki Seppänen-Laakso, Johanna Maukonen, Ismo Mattila, Suvi T. Ruohonen, Laura Vähätalo, Laxman Yetukuri, Taina Härkönen, Erno Lindfors, Janne Nikkilä, Jorma Ilonen, Olli Simell, Maria Saarela, Mikael Knip, Samuel Kaski, Eriika Savontaus, Matej Oresic: Metabolic Regulation in Progression to Autoimmune Diabetes. PLoS Computational Biology 7(10): (2011) | |
| 87 | Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen: An augmented reality interface to contextual information. Virtual Reality 15(2-3): 161-173 (2011) | |
| 2010 | ||
| 86 | Ilkka Huopaniemi, Tommi Suvitaival, Matej Oresic, Samuel Kaski: Graphical Multi-way Models. ECML/PKDD (1) 2010: 538-553 | |
| 85 | Jaakko Viinikanoja, Arto Klami, Samuel Kaski: Variational Bayesian Mixture of Robust CCA Models. ECML/PKDD (3) 2010: 370-385 | |
| 84 | Melih Kandemir, Veli-Matti Saarinen, Samuel Kaski: Inferring object relevance from gaze in dynamic scenes. ETRA 2010: 105-108 | |
| 83 | Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski: An information retrieval perspective on visualization of gene expression data with ontological annotation. ICASSP 2010: 2178-2181 | |
| 82 | José Caldas, Samuel Kaski: Hierarchical Generative Biclustering for MicroRNA Expression Analysis. RECOMB 2010: 65-79 | |
| 81 | Arto Klami, Seppo Virtanen, Samuel Kaski: Bayesian exponential family projections for coupled data sources. UAI 2010: 286-293 | |
| 80 | Samuel Kaski: Three Paths to Relevance. Brain-Inspired Information Technology 2010: 11-13 | |
| 79 | Samuel Kaski: Self-Organizing Maps. Encyclopedia of Machine Learning 2010: 886-888 | |
| 78 | Leo Lahti, Juha E. A. Knuuttila, Samuel Kaski: Global modeling of transcriptional responses in interaction networks. Bioinformatics 26(21): 2713-2720 (2010) | |
| 77 | Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski: Multivariate multi-way analysis of multi-source data. Bioinformatics [ISMB] 26(12): 391-398 (2010) | |
| 76 | Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski: Relevant subtask learning by constrained mixture models. Intell. Data Anal. 14(6): 641-662 (2010) | |
| 75 | Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski: Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization. Journal of Machine Learning Research 11: 451-490 (2010) | |
| 74 | Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor: Pinview: Implicit Feedback in Content-Based Image Retrieval. Journal of Machine Learning Research - Proceedings Track 11: 51-57 (2010) | |
| 73 | Simon Rogers, Arto Klami, Janne Sinkkonen, Mark Girolami, Samuel Kaski: Infinite factorization of multiple non-parametric views. Machine Learning 79(1-2): 201-226 (2010) | |
| 2009 | ||
| 72 | Gayle Leen, David R. Hardoon, Samuel Kaski: Automatic Choice of Control Measurements. ACML 2009: 206-219 | |
| 71 | Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski: Two-Way Analysis of High-Dimensional Collinear Data. ECML/PKDD (1) 2009: 33 | |
| 70 | Abhishek Tripathi, Arto Klami, Samuel Kaski: Using dependencies to pair samples for multi-view learning. ICASSP 2009: 1561-1564 | |
| 69 | Eerika Savia, Arto Klami, Samuel Kaski: Fast dependent components for fMRI analysis. ICASSP 2009: 1737-1740 | |
| 68 | Jaakko Peltonen, Helena Aidos, Samuel Kaski: Supervised nonlinear dimensionality reduction by Neighbor Retrieval. ICASSP 2009: 1809-1812 | |
| 67 | László Kozma, Arto Klami, Samuel Kaski: GaZIR: gaze-based zooming interface for image retrieval. ICMI 2009: 305-312 | |
| 66 | Eerika Savia, Kai Puolamäki, Samuel Kaski: Two-Way Grouping by One-Way Topic Models. IDA 2009: 178-189 | |
| 65 | Kai Puolamäki, Samuel Kaski: Bayesian Solutions to the Label Switching Problem. IDA 2009: 381-392 | |
| 64 | José Caldas, Nils Gehlenborg, Ali Faisal, Alvis Brazma, Samuel Kaski: Probabilistic retrieval and visualization of biologically relevant microarray experiments. BMC Bioinformatics 10(S-13): 0 (2009) | |
| 63 | José Caldas, Nils Gehlenborg, Ali Faisal, Alvis Brazma, Samuel Kaski: Probabilistic retrieval and visualization of biologically relevant microarray experiments. Bioinformatics 25(12): (2009) | |
| 62 | Jaakko Peltonen, Jarkko Venna, Samuel Kaski: Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations. Computational Statistics & Data Analysis 53(12): 4453-4470 (2009) | |
| 61 | Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski: Two-way analysis of high-dimensional collinear data. Data Min. Knowl. Discov. 19(2): 261-276 (2009) | |
| 60 | Eerika Savia, Kai Puolamäki, Samuel Kaski: Latent grouping models for user preference prediction. Machine Learning 74(1): 75-109 (2009) | |
| 59 | Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor: Can eyes reveal interest? Implicit queries from gaze patterns. User Model. User-Adapt. Interact. 19(4): 307-339 (2009) | |
| 2008 | ||
| 58 | Kai Puolamäki, Antti Ajanki, Samuel Kaski: Learning to learn implicit queries from gaze patterns. ICML 2008: 760-767 | |
| 57 | Keisuke Yamazaki, Samuel Kaski: An Analysis of Generalization Error in Relevant Subtask Learning. ICONIP (1) 2008: 629-637 | |
| 56 | 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 | |
| 55 | Abhishek Tripathi, Arto Klami, Samuel Kaski: Simple integrative preprocessing preserves what is shared in data sources. BMC Bioinformatics 9: (2008) | |
| 54 | Arto Klami, Samuel Kaski: Probabilistic approach to detecting dependencies between data sets. Neurocomputing 72(1-3): 39-46 (2008) | |
| 2007 | ||
| 53 | Samuel Kaski, Jaakko Peltonen: Learning from Relevant Tasks Only. ECML 2007: 608-615 | |
| 52 | Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigário, Samuel Kaski: Functional elements and networks in fMRI. ESANN 2007: 561-566 | |
| 51 | Arto Klami, Samuel Kaski: Local dependent components. ICML 2007: 425-432 | |
| 50 | Janne Sinkkonen, Janne Aukia, Samuel Kaski: Inferring Vertex Properties from Topology in Large Networks. MLG 2007 | |
| 49 | Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel Kaski: Methods for estimating human endogenous retrovirus activities from EST databases. BMC Bioinformatics 8(S-2): (2007) | |
| 48 | Samuel Kaski, Juho Rousu, Esko Ukkonen: Probabilistic modeling and machine learning in structural and systems biology. BMC Bioinformatics 8(S-2): (2007) | |
| 47 | Jarkko Venna, Samuel Kaski: Comparison of visualization methods for an atlas of gene expression data sets. Information Visualization 6(2): 139-154 (2007) | |
| 46 | David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski: Information Retrieval by Inferring Implicit Queries from Eye Movements. Journal of Machine Learning Research - Proceedings Track 2: 179-186 (2007) | |
| 45 | Jarkko Venna, Samuel Kaski: Nonlinear Dimensionality Reduction as Information Retrieval. Journal of Machine Learning Research - Proceedings Track 2: 572-579 (2007) | |
| 2006 | ||
| 44 | Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas Villmann: Neural networks and machine learning in bioinformatics - theory and applications. ESANN 2006: 521-532 | |
| 43 | Jarkko Venna, Samuel Kaski: Visualizing gene interaction graphs with local multidimensional scaling. ESANN 2006: 557-562 | |
| 42 | Jarkko Venna, Samuel Kaski: Local multidimensional scaling. Neural Networks 19(6-7): 889-899 (2006) | |
| 2005 | ||
| 41 | Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski: On Discriminative Joint Density Modeling. ECML 2005: 341-352 | |
| 40 | Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski: Implicit Relevance Feedback from Eye Movements. ICANN (1) 2005: 513-518 | |
| 39 | Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski: Expectation maximization algorithms for conditional likelihoods. ICML 2005: 752-759 | |
| 38 | Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, Samuel Kaski: Combining eye movements and collaborative filtering for proactive information retrieval. SIGIR 2005: 146-153 | |
| 37 | Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski: Two-Way Latent Grouping Model for User Preference Prediction. UAI 2005: 518-524 | |
| 36 | Jaakko Peltonen, Samuel Kaski: Discriminative components of data. IEEE Transactions on Neural Networks 16(1): 68-83 (2005) | |
| 35 | 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) | |
| 34 | 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) | |
| 33 | 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) | |
| 32 | Samuel Kaski, Janne Sinkkonen, Arto Klami: Discriminative clustering. Neurocomputing 69(1-3): 18-41 (2005) | |
| 2004 | ||
| 31 | Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Samuel Kaski: Associative Clustering. ECML 2004: 396-406 | |
| 30 | Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski: Sequential information bottleneck for finite data. ICML 2004 | |
| 29 | Janne Nikkilä, Christophe Roos, Samuel Kaski: Exploring Dependencies Between Yeast Stress Genes and Their Regulators. IDEAL 2004: 92-98 | |
| 28 | Krista Lagus, Samuel Kaski, Teuvo Kohonen: Mining massive document collections by the WEBSOM method. Inf. Sci. 163(1-3): 135-156 (2004) | |
| 27 | Jaakko Peltonen, Arto Klami, Samuel Kaski: Improved learning of Riemannian metrics for exploratory analysis. Neural Networks 17(8-9): 1087-1100 (2004) | |
| 26 | Samuel Kaski, Janne Sinkkonen: Principle of Learning Metrics for Exploratory Data Analysis. VLSI Signal Processing 37(2-3): 177-188 (2004) | |
| 2003 | ||
| 25 | Jarkko Venna, Samuel Kaski, Jaakko Peltonen: Visualizations for Assessing Convergence and Mixing of MCMC. ECML 2003: 432-443 | |
| 24 | Samuel Kaski, Jaakko Peltonen: Informative Discriminant Analysis. ICML 2003: 329-336 | |
| 23 | 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 | ||
| 22 | Janne Sinkkonen, Samuel Kaski, Janne Nikkilä: Discriminative Clustering: Optimal Contingency Tables by Learning Metrics. ECML 2002: 418-430 | |
| 21 | Jaakko Peltonen, Arto Klami, Samuel Kaski: Learning More Accurate Metrics for Self-Organizing Maps. ICANN 2002: 999-1004 | |
| 20 | Janne Sinkkonen, Samuel Kaski: Clustering Based on Conditional Distributions in an Auxiliary Space. Neural Computation 14(1): 217-239 (2002) | |
| 19 | 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) | |
| 18 | Ville Ollikainen, Christer Bäckström, Samuel Kaski: Electronic editor: automatic content-based sequential compilation of newspaper articles. Neurocomputing 43(1-4): 91-106 (2002) | |
| 2001 | ||
| 17 | Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen: Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. DaWaK 2001: 162-173 | |
| 16 | Jarkko Venna, Samuel Kaski: Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study. ICANN 2001: 485-491 | |
| 15 | Samuel Kaski, Janne Sinkkonen, Janne Nikkilä: Clustering Gene Expression Data by Mutual Information with Gene Function. ICANN 2001: 81-86 | |
| 14 | Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen: Bankruptcy analysis with self-organizing maps in learning metrics. IEEE Transactions on Neural Networks 12(4): 936-947 (2001) | |
| 2000 | ||
| 13 | Janne Sinkkonen, Samuel Kaski: Clustering by Similarity in an Auxiliary Space. IDEAL 2000: 3-8 | |
| 12 | Samuel Kaski, Janne Sinkkonen: Metrics that Learn Relevance. IJCNN (5) 2000: 547-552 | |
| 11 | Teuvo Kohonen, Samuel Kaski, Krista Lagus, Jarkko Salojärvi, Jukka Honkela, Vesa Paatero, Antti Saarela: Self organization of a massive document collection. IEEE Trans. Neural Netw. Learning Syst. 11(3): 574-585 (2000) | |
| 1999 | ||
| 10 | Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen: Websom for Textual Data Mining. Artif. Intell. Rev. 13(5-6): 345-364 (1999) | |
| 1998 | ||
| 9 | Samuel Kaski, Janne Nikkilä, Teuvo Kohonen: Methods for interpreting a self-organized map in data analysis. ESANN 1998: 185-190 | |
| 8 | Samuel Kaski, Timo Honkela, Krista Lagus, Teuvo Kohonen: WEBSOM - Self-organizing maps of document collections. Neurocomputing 21(1-3): 101-117 (1998) | |
| 1997 | ||
| 7 | 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) | |
| 6 | 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 | ||
| 5 | Teuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela: Very Large Two-Level SOM for the Browsing of Newsgroups. ICANN 1996: 269-274 | |
| 4 | Samuel Kaski, Krista Lagus: Comparing Self-Organizing Maps. ICANN 1996: 809-814 | |
| 3 | 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 | ||
| 2 | Samuel Kaski, Teuvo Kohonen: Winner-take-all networks for physiological models of competitive learning. Neural Networks 7(6-7): 973-984 (1994) | |
| 1992 | ||
| 1 | Pekka Utela, Samuel Kaski, Kari Torkkola: Using phoneme group specific LVQ-codebooks with HMMs. ICSLP 1992 | |
Colors in the list of coauthors
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