According to our database1, Samuel Kaski
• authored at least 213 papers between 1992 and 2018.
• has a "Dijkstra number"2 of four.

Book
In proceedings
Article
PhD thesis
Other

## Bibliography

2018
Likelihood-free inference via classification.
Statistics and Computing, 2018

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction.
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

2017
Self-Organizing Maps.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction.
Machine Learning, 2017

Multi-view kernel completion.
Machine Learning, 2017

GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis.
Journal of Machine Learning Research, 2017

Learning structures of Bayesian networks for variable groups.
Int. J. Approx. Reasoning, 2017

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction.
CoRR, 2017

ELFI: Engine for Likelihood Free Inference.
CoRR, 2017

Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation.
CoRR, 2017

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.
CoRR, 2017

Non-Stationary Spectral Kernels.
CoRR, 2017

Distributed Bayesian Matrix Factorization with Minimal Communication.
CoRR, 2017

Learning Image Relations with Contrast Association Networks.
CoRR, 2017

Inverse Reinforcement Learning from Summary Data.
CoRR, 2017

Differentially Private Bayesian Learning on Distributed Data.
CoRR, 2017

MediSyn: uncertainty-aware visualization of multiple biomedical datasets to support drug treatment selection.
BMC Bioinformatics, 2017

Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Non-Stationary Spectral Kernels.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Differentially private Bayesian learning on distributed data.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Convex Factorization Machine for Toxicogenomics Prediction.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

BCI for Physiological Text Annotation.
Proceedings of the 2017 ACM Workshop on An Application-oriented Approach to BCI out of the laboratory, 2017

Inferring Cognitive Models from Data using Approximate Bayesian Computation.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Localized Lasso for High-Dimensional Regression.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Extracting relevance and affect information from physiological text annotation.

Bayesian multi-tensor factorization.
Machine Learning, 2016

Multiple Output Regression with Latent Noise.
Journal of Machine Learning Research, 2016

A Latent Feature Model Approach to Biclustering.
IJKDB, 2016

Sparse Network Lasso for Local High-dimensional Regression.
CoRR, 2016

Regression with n$\to$1 by Expert Knowledge Elicitation.
CoRR, 2016

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.
CoRR, 2016

GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis.
CoRR, 2016

Interactive Modeling of Concept Drift and Errors in Relevance Feedback.
CoRR, 2016

Inverse Modeling of Complex Interactive Behavior with ABC.
CoRR, 2016

Efficient differentially private learning improves drug sensitivity prediction.
CoRR, 2016

Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals.
CoRR, 2016

Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction.
CoRR, 2016

Multi-view Kernel Completion.
CoRR, 2016

Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization.
CoRR, 2016

Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction.
CoRR, 2016

Sparse group factor analysis for biclustering of multiple data sources.
Bioinformatics, 2016

Modelling-based experiment retrieval: a case study with gene expression clustering.
Bioinformatics, 2016

Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.
Bioinformatics, 2016

Interactive Modeling of Concept Drift and Errors in Relevance Feedback.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Bayesian Networks for Variable Groups.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Dealing with Concept Drift in Exploratory Search: An Interactive Bayesian Approach.
Proceedings of the Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016

Interactive Intent Modeling from Multiple Feedback Domains.
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

A Robust Convex Formulation for Ensemble Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Regression with n→1 by Expert Knowledge Elicitation.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Visualizations relevant to the user by multi-view latent variable factorization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Group Factor Analysis.
IEEE Trans. Neural Netw. Learning Syst., 2015

Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals.
NeuroImage, 2015

Visualizations Relevant to The User By Multi-View Latent Variable Factorization.
CoRR, 2015

Bayesian Networks for Variable Groups.
CoRR, 2015

Sparse group factor analysis for biclustering of multiple data sources.
CoRR, 2015

Modelling-based experiment retrieval: A case study with gene expression clustering.
CoRR, 2015

Interactive intent modeling: information discovery beyond search.
Commun. ACM, 2015

Developing a Symbiotic System for Scientific Information Seeking: The MindSee Project.
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

SciNet: Interactive Intent Modeling for Information Discovery.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Improving Controllability and Predictability of Interactive Recommendation Interfaces for Exploratory Search.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Majorization-Minimization for Manifold Embedding.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Kernelized Bayesian Matrix Factorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization.
Journal of Chemical Information and Modeling, 2014

Multi-task and multi-view learning of user state.
Neurocomputing, 2014

Retrieval of Experiments by Efficient Estimation of Marginal Likelihood.
CoRR, 2014

PinView: Implicit Feedback in Content-Based Image Retrieval.
CoRR, 2014

Stronger findings from mass spectral data through multi-peak modeling.
BMC Bioinformatics, 2014

Probabilistic drug connectivity mapping.
BMC Bioinformatics, 2014

Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations.
Bioinformatics, 2014

Exploration and retrieval of whole-metagenome sequencing samples.
Bioinformatics, 2014

Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.
Bioinformatics, 2014

Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis.
Bioinformatics, 2014

Predicting term-relevance from brain signals.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Bayesian Multi-view Tensor Factorization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Optimization Equivalence of Divergences Improves Neighbor Embedding.
Proceedings of the 31th International Conference on Machine Learning, 2014

Intentradar: search user interface that anticipates user's search intents.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Preface.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Optimal Neighborhood Preserving Visualization by Maximum Satisfiability.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Bayesian Canonical correlation analysis.
Journal of Machine Learning Research, 2013

Exploration and retrieval of whole-metagenome sequencing samples.
CoRR, 2013

Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects.
CoRR, 2013

Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space.
CoRR, 2013

SciNet: a system for browsing scientific literature through keyword manipulation.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Directing exploratory search: reinforcement learning from user interactions with keywords.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Scalable Optimization of Neighbor Embedding for Visualization.
Proceedings of the 30th International Conference on Machine Learning, 2013

Kernelized Bayesian Matrix Factorization.
Proceedings of the 30th International Conference on Machine Learning, 2013

Adaptive timeline interface to personal history data.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Directing exploratory search with interactive intent modeling.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Focused multi-task learning in a Gaussian process framework.
Machine Learning, 2012

Bayesian Group Factor Analysis.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Machine learning for signal processing 2010.
Neurocomputing, 2012

Two-Way Latent Grouping Model for User Preference Prediction
CoRR, 2012

Bayesian exponential family projections for coupled data sources
CoRR, 2012

Global modeling of transcriptional responses in interaction networks
CoRR, 2012

Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs.
BMC Bioinformatics, 2012

Targeted retrieval of gene expression measurements using regulatory models.
Bioinformatics, 2012

Data-driven information retrieval in heterogeneous collections of transcriptomics data links SIM2s to malignant pleural mesothelioma.
Bioinformatics, 2012

Unsupervised Inference of Auditory Attention from Biosensors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning relevance from natural eye movements in pervasive interfaces.
Proceedings of the International Conference on Multimodal Interaction, 2012

Sparse Nonparametric Topic Model for Transfer Learning.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
An augmented reality interface to contextual information.
Virtual Reality, 2011

Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Dimensionality Reduction for Data Visualization [Applications Corner].
IEEE Signal Process. Mag., 2011

Metabolic Regulation in Progression to Autoimmune Diabetes.
PLoS Computational Biology, 2011

Introduction to the special issue on mining and learning with graphs.
Machine Learning, 2011

Generative Modeling for Maximizing Precision and Recall in Information Visualization.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Hierarchical Generative Biclustering for MicroRNA Expression Analysis.
Journal of Computational Biology, 2011

Matching samples of multiple views.
Data Min. Knowl. Discov., 2011

Focused Multi-task Learning Using Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Multitask Learning Using Regularized Multiple Kernel Learning.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Bayesian CCA via Group Sparsity.
Proceedings of the 28th International Conference on Machine Learning, 2011

Cross-Species Translation of Multi-way Biomarkers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Probabilistic Proactive Timeline Browser.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Three Paths to Relevance.
Proceedings of the Brain-Inspired Information Technology, 2010

Self-Organizing Maps.
Proceedings of the Encyclopedia of Machine Learning, 2010

Infinite factorization of multiple non-parametric views.
Machine Learning, 2010

Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization.
Journal of Machine Learning Research, 2010

Pinview: Implicit Feedback in Content-Based Image Retrieval.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Relevant subtask learning by constrained mixture models.
Intell. Data Anal., 2010

Searching for functional gene modules with interaction component models.
BMC Systems Biology, 2010

Global modeling of transcriptional responses in interaction networks.
Bioinformatics, 2010

Multivariate multi-way analysis of multi-source data.
Bioinformatics [ISMB], 2010

Bayesian exponential family projections for coupled data sources.
Proceedings of the UAI 2010, 2010

Hierarchical Generative Biclustering for MicroRNA Expression Analysis.
Proceedings of the Research in Computational Molecular Biology, 2010

Variational Bayesian Mixture of Robust CCA Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graphical Multi-way Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graph visualization with latent variable models.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

An information retrieval perspective on visualization of gene expression data with ontological annotation.
Proceedings of the IEEE International Conference on Acoustics, 2010

Inferring object relevance from gaze in dynamic scenes.
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010

2009
Can eyes reveal interest? Implicit queries from gaze patterns.

Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli.
NeuroImage, 2009

Latent grouping models for user preference prediction.
Machine Learning, 2009

Two-way analysis of high-dimensional collinear data.
Data Min. Knowl. Discov., 2009

Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations.
Computational Statistics & Data Analysis, 2009

Probabilistic retrieval and visualization of biologically relevant microarray experiments.
BMC Bioinformatics, 2009

Probabilistic retrieval and visualization of biologically relevant microarray experiments.
Bioinformatics, 2009

Two-Way Analysis of High-Dimensional Collinear Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Two-Way Grouping by One-Way Topic Models.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Bayesian Solutions to the Label Switching Problem.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

GaZIR: gaze-based zooming interface for image retrieval.
Proceedings of the 11th International Conference on Multimodal Interfaces, 2009

Using dependencies to pair samples for multi-view learning.
Proceedings of the IEEE International Conference on Acoustics, 2009

Fast dependent components for fMRI analysis.
Proceedings of the IEEE International Conference on Acoustics, 2009

Supervised nonlinear dimensionality reduction by Neighbor Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2009

Automatic Choice of Control Measurements.
Proceedings of the Advances in Machine Learning, 2009

2008
Probabilistic approach to detecting dependencies between data sets.
Neurocomputing, 2008

Simple integrative preprocessing preserves what is shared in data sources.
BMC Bioinformatics, 2008

Can relevance of images be inferred from eye movements?
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

An Analysis of Generalization Error in Relevant Subtask Learning.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Learning to learn implicit queries from gaze patterns.
Proceedings of the Machine Learning, 2008

2007
Nonlinear Dimensionality Reduction as Information Retrieval.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Information Retrieval by Inferring Implicit Queries from Eye Movements.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Comparison of visualization methods for an atlas of gene expression data sets.
Information Visualization, 2007

Methods for estimating human endogenous retrovirus activities from EST databases.
BMC Bioinformatics, 2007

Probabilistic modeling and machine learning in structural and systems biology.
BMC Bioinformatics, 2007

Inferring Vertex Properties from Topology in Large Networks.
Proceedings of the Mining and Learning with Graphs, 2007

Local dependent components.
Proceedings of the Machine Learning, 2007

Functional elements and networks in fMRI.
Proceedings of the ESANN 2007, 2007

Proceedings of the Machine Learning: ECML 2007, 2007

2006
Local multidimensional scaling.
Neural Networks, 2006

Visualizing gene interaction graphs with local multidimensional scaling.
Proceedings of the ESANN 2006, 2006

Neural networks and machine learning in bioinformatics - theory and applications.
Proceedings of the ESANN 2006, 2006

2005
Discriminative components of data.
IEEE Trans. Neural Networks, 2005

Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets.
IEEE/ACM Trans. Comput. Biology Bioinform., 2005

Discriminative clustering.
Neurocomputing, 2005

Self-organizing map-based discovery and visualization of human endogenous retroviral sequence groups.
Int. J. Neural Syst., 2005

Exploratory modeling of yeast stress response and its regulation with gcca and associative clustering.
Int. J. Neural Syst., 2005

Two-Way Latent Grouping Model for User Preference Prediction.
Proceedings of the UAI '05, 2005

Combining eye movements and collaborative filtering for proactive information retrieval.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Expectation maximization algorithms for conditional likelihoods.
Proceedings of the Machine Learning, 2005

Non-parametric dependent components.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Implicit Relevance Feedback from Eye Movements.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

On Discriminative Joint Density Modeling.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Principle of Learning Metrics for Exploratory Data Analysis.
VLSI Signal Processing, 2004

Improved learning of Riemannian metrics for exploratory analysis.
Neural Networks, 2004

Mining massive document collections by the WEBSOM method.
Inf. Sci., 2004

Exploring Dependencies Between Yeast Stress Genes and Their Regulators.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Sequential information bottleneck for finite data.
Proceedings of the Machine Learning, 2004

Associative Clustering.
Proceedings of the Machine Learning: ECML 2004, 2004

Grouping and visualizing human endogenous retroviruses by bootstrapping median self-organizing maps.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

2003
Trustworthiness and metrics in visualizing similarity of gene expression.
BMC Bioinformatics, 2003

Regularized discriminative clustering.
Proceedings of the NNSP 2003, 2003

Informative Discriminant Analysis.
Proceedings of the Machine Learning, 2003

Visualizations for Assessing Convergence and Mixing of MCMC.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
Analysis and visualization of gene expression data using Self-Organizing Maps.
Neural Networks, 2002

Clustering Based on Conditional Distributions in an Auxiliary Space.
Neural Computation, 2002

Electronic editor: automatic content-based sequential compilation of newspaper articles.
Neurocomputing, 2002

Learning More Accurate Metrics for Self-Organizing Maps.
Proceedings of the Artificial Neural Networks, 2002

Discriminative Clustering: Optimal Contingency Tables by Learning Metrics.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Bankruptcy analysis with self-organizing maps in learning metrics.
IEEE Trans. Neural Networks, 2001

Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study.
Proceedings of the Artificial Neural Networks, 2001

Clustering Gene Expression Data by Mutual Information with Gene Function.
Proceedings of the Artificial Neural Networks, 2001

Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics.
Proceedings of the Data Warehousing and Knowledge Discovery, 2001

2000
Self organization of a massive document collection.
IEEE Trans. Neural Netw. Learning Syst., 2000

Metrics that Learn Relevance.
IJCNN (5), 2000

Clustering by Similarity in an Auxiliary Space.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999
Websom for Textual Data Mining.
Artif. Intell. Rev., 1999

1998
WEBSOM - Self-organizing maps of document collections.
Neurocomputing, 1998

Methods for interpreting a self-organized map in data analysis.
Proceedings of the ESANN 1998, 1998

1997
Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method.
Neural Processing Letters, 1997

Self-organized Formation of Various Invariant-feature Filters in the Adaptive-subspace SOM.
Neural Computation, 1997

1996
Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Compression of vector quantization code sequences based on code frequencies and spatial redundancies.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Very Large Two-Level SOM for the Browsing of Newsgroups.
Proceedings of the Artificial Neural Networks, 1996

Comparing Self-Organizing Maps.
Proceedings of the Artificial Neural Networks, 1996

1994
Winner-take-all networks for physiological models of competitive learning.
Neural Networks, 1994

1992
Using phoneme group specific LVQ-codebooks with HMMs.
Proceedings of the Second International Conference on Spoken Language Processing, 1992