Samuel Kaski

AI Mag., March, 2023

Modeling needs user modeling.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., February, 2023

DPVIm: Differentially Private Variational Inference Improved.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Stochastic cluster embedding.

[BibT_eX]

[DOI]

Stat. Comput., 2023

The Fundamental Dilemma of Bayesian Active Meta-learning.

[BibT_eX]

[DOI]

Sabina J. Sloman

Ayush Bharti

CoRR, 2023

Causal Similarity-Based Hierarchical Bayesian Models.

[BibT_eX]

[DOI]

Sophie Wharrie

CoRR, 2023

Understanding deep neural networks through the lens of their non-linearity.

[BibT_eX]

[DOI]

CoRR, 2023

Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets.

[BibT_eX]

[DOI]

CoRR, 2023

Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data.

[BibT_eX]

[DOI]

CoRR, 2023

Practical Equivariances via Relational Conditional Neural Processes.

[BibT_eX]

[DOI]

CoRR, 2023

Input gradient diversity for neural network ensembles.

[BibT_eX]

[DOI]

CoRR, 2023

Cost-aware learning of relevant contextual variables within Bayesian optimization.

[BibT_eX]

[DOI]

CoRR, 2023

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series.

[BibT_eX]

[DOI]

Alexander V. Nikitin

Letizia Iannucci

CoRR, 2023

Online simulator-based experimental design for cognitive model selection.

[BibT_eX]

[DOI]

CoRR, 2023

Differentiable user models.

[BibT_eX]

[DOI]

Alex Hämäläinen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Cooperative Bayesian Optimization for Imperfect Agents.

[BibT_eX]

[DOI]

Ali Khoshvishkaie

Petrus Mikkola

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Practical Equivariances via Relational Conditional Neural Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compositional Sculpting of Iterative Generative Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterizing personalized effects of family information on disease risk using graph representation learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2023

Imitation-Guided Multimodal Policy Generation from Behaviourally Diverse Demonstrations.

[BibT_eX]

[DOI]

IROS, 2023

Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference.

[BibT_eX]

[DOI]

François-Xavier Briol

Proceedings of the International Conference on Machine Learning, 2023

Noise-Aware Statistical Inference with Differentially Private Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Zero-Shot Assistance in Sequential Decision Problems.

[BibT_eX]

[DOI]

Sebastiaan De Peuter

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Teaching to Learn: Sequential Teaching of Learners with Internal States.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction.

[BibT_eX]

[DOI]

Betül Güvenç Paltun

Hiroshi Mamitsuka

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

d3p - A Python Package for Differentially-Private Probabilistic Programming.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2022

Human-in-the-loop assisted de novo molecular design.

[BibT_eX]

[DOI]

J. Cheminformatics, 2022

Likelihood-free inference with deep Gaussian processes.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2022

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge.

[BibT_eX]

[DOI]

CoRR, 2022

Zero-Shot Assistance in Novel Decision Problems.

[BibT_eX]

[DOI]

Sebastiaan De Peuter

CoRR, 2022

Identification of multiplicatively acting modulatory mutational signatures in cancer.

[BibT_eX]

[DOI]

BMC Bioinform., 2022

Variational multiple shooting for Bayesian ODEs with Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Modular Flows: Differential Molecular Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provably expressive temporal graph networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deconfounded Representation Similarity for Comparison of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations.

[BibT_eX]

[DOI]

Alexander V. Nikitin

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Tackling covariate shift with node-based Bayesian neural networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Approximate Bayesian Computation with Domain Expert in the Loop.

[BibT_eX]

[DOI]

Ayush Bharti

Louis Filstroff

Proceedings of the International Conference on Machine Learning, 2022

EntityBot: Actionable Entity Recommendations for Everyday Digital Task.

[BibT_eX]

[DOI]

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs.

[BibT_eX]

[DOI]

Frans A. Oliehoek

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Parallel MCMC Without Embarrassing Failures.

[BibT_eX]

[DOI]

Daniel Augusto de Souza

Diego Mesquita

Luigi Acerbi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Non-separable Spatio-temporal Graph Kernels via SPDEs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Entity Recommendation for Everyday Digital Tasks.

[BibT_eX]

[DOI]

ACM Trans. Comput. Hum. Interact., 2021

Privacy-preserving data sharing via probabilistic modeling.

[BibT_eX]

[DOI]

Patterns, 2021

Locally Differentially Private Bayesian Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Bayesian inference of ODEs with Gaussian processes.

[BibT_eX]

[DOI]

CoRR, 2021

Affine Transport for Sim-to-Real Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2021

Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches.

[BibT_eX]

[DOI]

Betül Güvenç Paltun

Hiroshi Mamitsuka

Briefings Bioinform., 2021

Machine learning approaches for drug combination therapies.

[BibT_eX]

[DOI]

Betül Güvenç Paltun

Hiroshi Mamitsuka

Briefings Bioinform., 2021

Federated stochastic gradient Langevin dynamics.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

De-randomizing MCMC dynamics with the diffusion Stein operator.

[BibT_eX]

[DOI]

Zheyang Shen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decision Rule Elicitation for Domain Adaptation.

[BibT_eX]

[DOI]

Alexander V. Nikitin

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Differentially Private Bayesian Inference for Generalized Linear Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Behaviour-Conditioned Policies for Cooperative Reinforcement Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Learning to Assist Agents by Observing Them.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Bayesian Inference for Optimal Transport with Stochastic Cost.

[BibT_eX]

[DOI]

Anton Mallasto

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Local dimension reduction of summary statistics for likelihood-free inference.

[BibT_eX]

[DOI]

Jukka Sirén

Stat. Comput., 2020

A decision-theoretic approach for model interpretability in Bayesian framework.

[BibT_eX]

[DOI]

Mach. Learn., 2020

Interactive faceted query suggestion for exploratory search: Whole-session effectiveness and interaction engagement.

[BibT_eX]

[DOI]

Giulio Jacucci

J. Assoc. Inf. Sci. Technol., 2020

Sample-efficient reinforcement learning using deep Gaussian processes.

[BibT_eX]

[DOI]

CoRR, 2020

Scalable Bayesian neural networks by layer-wise input augmentation.

[BibT_eX]

[DOI]

Trung Q. Trinh

CoRR, 2020

Privacy-preserving Data Sharing on Vertically Partitioned Data.

[BibT_eX]

[DOI]

CoRR, 2020

Teaching to Learn: Sequential Teaching of Agents with Inner States.

[BibT_eX]

[DOI]

CoRR, 2020

Differentially private cross-silo federated learning.

[BibT_eX]

[DOI]

CoRR, 2020

Variance reduction for distributed stochastic gradient MCMC.

[BibT_eX]

[DOI]

CoRR, 2020

Correlated Feature Selection with Extended Exclusive Group Lasso.

[BibT_eX]

[DOI]

CoRR, 2020

Informative Gaussian Scale Mixture Priors for Bayesian Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Human Strategic Steering Improves Performance of Interactive Optimization.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Rethinking pooling in graph neural networks.

[BibT_eX]

[DOI]

Diego P. P. Mesquita

Amauri H. Souza Jr.

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Projective Preferential Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2020, 2020

Learning Global Pairwise Interactions with Bayesian Neural Networks.

[BibT_eX]

[DOI]

Tianyu Cui

Pekka Marttinen

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Learning spectrograms with convolutional spectral kernels.

[BibT_eX]

[DOI]

Zheyang Shen

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Scalable Probabilistic Matrix Factorization with Graph-Based Priors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Distributed Bayesian matrix factorization with limited communication.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Integrating neurophysiologic relevance feedback in intent modeling for information retrieval.

[BibT_eX]

[DOI]

J. Assoc. Inf. Sci. Technol., 2019

Interactive AI with a Theory of Mind.

[BibT_eX]

[DOI]

CoRR, 2019

Privacy-preserving data sharing via probabilistic modelling.

[BibT_eX]

[DOI]

CoRR, 2019

Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Recovering Pairwise Interactions Using Neural Networks.

[BibT_eX]

[DOI]

Tianyu Cui

Pekka Marttinen

CoRR, 2019

Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation.

[BibT_eX]

[DOI]

Cogn. Sci., 2019

Representation transfer for differentially private drug sensitivity prediction.

[BibT_eX]

[DOI]

Teppo Mikael Niinimäki

Mikko A. Heikkilä

Antti Honkela

Bioinform., 2019

Bayesian metabolic flux analysis reveals intracellular flux couplings.

[BibT_eX]

[DOI]

Bioinform., 2019

Modelling G×E with historical weather information improves genomic prediction in new environments.

[BibT_eX]

[DOI]

Bioinform., 2019

Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.

[BibT_eX]

[DOI]

Héctor Climente-González

Chloé-Agathe Azencott

Makoto Yamada

Bioinform., 2019

Embarrassingly Parallel MCMC using Deep Invertible Transformations.

[BibT_eX]

[DOI]

Diego P. P. Mesquita

Paul Blomstedt

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Deep Convolutional Gaussian Processes.

[BibT_eX]

[DOI]

Kenneth Blomqvist

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Machine Teaching of Active Sequential Learners.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Image Relations with Contrast Association Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Scalable Bayesian Non-linear Matrix Completion.

[BibT_eX]

[DOI]

Xiangju Qin

Paul Blomstedt

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Active Learning for Decision-Making from Imbalanced Observational Data.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Harmonizable mixture kernels with variational Fourier features.

[BibT_eX]

[DOI]

Zheyang Shen

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Deep learning with differential Gaussian process flows.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Interactive Intent Modeling for Exploratory Search.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2018

Likelihood-free inference via classification.

[BibT_eX]

[DOI]

Stat. Comput., 2018

Inverse reinforcement learning from summary data.

[BibT_eX]

[DOI]

Mach. Learn., 2018

ELFI: Engine for Likelihood-Free Inference.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Neural Non-Stationary Spectral Kernel.

[BibT_eX]

[DOI]

Sami Remes

CoRR, 2018

Approximate Bayesian Computation via Population Monte Carlo and Classification.

[BibT_eX]

[DOI]

Charlie Rogers-Smith

Henri Pesonen

CoRR, 2018

Modelling User's Theory of AI's Mind in Interactive Intelligent Systems.

[BibT_eX]

[DOI]

CoRR, 2018

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.

[BibT_eX]

[DOI]

Muntasir Mamun Majumder

Bioinform., 2018

Variational zero-inflated Gaussian processes with sparse kernels.

[BibT_eX]

[DOI]

Pashupati Hegde

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Probabilistic Formulation of the Take The Best Heuristic.

[BibT_eX]

[DOI]

Jussi Jokinen

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Multi-view kernel completion.

[BibT_eX]

[DOI]

Sahely Bhadra

Juho Rousu

Mach. Learn., 2017

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

[BibT_eX]

[DOI]

Eemeli Leppäaho

J. Mach. Learn. Res., 2017

Learning structures of Bayesian networks for variable groups.

[BibT_eX]

[DOI]

Pekka Parviainen

Int. J. Approx. Reason., 2017

ELFI: Engine for Likelihood Free Inference.

[BibT_eX]

[DOI]

CoRR, 2017

Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation.

[BibT_eX]

[DOI]

Makoto Yamada

Song Liu

CoRR, 2017

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

[BibT_eX]

[DOI]

Iiris Sundin

Muntasir Mamun Majumder

CoRR, 2017

Distributed Bayesian Matrix Factorization with Minimal Communication.

[BibT_eX]

[DOI]

CoRR, 2017

Differentially Private Bayesian Learning on Distributed Data.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

BMC Bioinform., 2017

Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction.

[BibT_eX]

[DOI]

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sami Remes

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Luana Micallef

Iiris Sundin

Pekka Marttinen

Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

BCI for Physiological Text Annotation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Localized Lasso for High-Dimensional Regression.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings.

[BibT_eX]

[DOI]

Sami Remes

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Extracting relevance and affect information from physiological text annotation.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2016

Bayesian multi-tensor factorization.

[BibT_eX]

[DOI]

Suleiman A. Khan

Eemeli Leppäaho

Mach. Learn., 2016

Multiple Output Regression with Latent Noise.

[BibT_eX]

[DOI]

Marjo-Riitta Järvelin

Mika Ala-Korpela

J. Mach. Learn. Res., 2016

A Latent Feature Model Approach to Biclustering.

[BibT_eX]

[DOI]

José Caldas

Int. J. Knowl. Discov. Bioinform., 2016

Sparse Network Lasso for Local High-dimensional Regression.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Marta Soare

CoRR, 2016

Inverse Modeling of Complex Interactive Behavior with ABC.

[BibT_eX]

[DOI]

CoRR, 2016

Efficient differentially private learning improves drug sensitivity prediction.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Sparse group factor analysis for biclustering of multiple data sources.

[BibT_eX]

[DOI]

Bioinform., 2016

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

[BibT_eX]

[DOI]

Bioinform., 2016

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

[BibT_eX]

[DOI]

Bioinform., 2016

Interactive Modeling of Concept Drift and Errors in Relevance Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Bayesian Networks for Variable Groups.

[BibT_eX]

[DOI]

Pekka Parviainen

Hamed Rezazadegan Tavakoli

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Dealing with Concept Drift in Exploratory Search: An Interactive Bayesian Approach.

[BibT_eX]

[DOI]

Proceedings of the Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016

Interactive Intent Modeling from Multiple Feedback Domains.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

A Robust Convex Formulation for Ensemble Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Regression with n→1 by Expert Knowledge Elicitation.

[BibT_eX]

[DOI]

Marta Soare

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Visualizations relevant to the user by multi-view latent variable factorization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Group Factor Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

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

[BibT_eX]

[DOI]

NeuroImage, 2015

Interactive intent modeling: information discovery beyond search.

[BibT_eX]

[DOI]

Commun. ACM, 2015

Developing a Symbiotic System for Scientific Information Seeking: The MindSee Project.

[BibT_eX]

[DOI]

Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

SciNet: Interactive Intent Modeling for Information Discovery.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Dorota Glowacka

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Majorization-Minimization for Manifold Embedding.

[BibT_eX]

[DOI]

Zhirong Yang

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Kernelized Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Mehmet Gönen

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2014

Multi-task and multi-view learning of user state.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Retrieval of Experiments by Efficient Estimation of Marginal Likelihood.

[BibT_eX]

[DOI]

Sohan Seth

John Shawe-Taylor

CoRR, 2014

Stronger findings from mass spectral data through multi-peak modeling.

[BibT_eX]

[DOI]

Tommi Suvitaival

Simon Rogers

BMC Bioinform., 2014

Probabilistic drug connectivity mapping.

[BibT_eX]

[DOI]

Juuso A. Parkkinen

BMC Bioinform., 2014

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

[BibT_eX]

[DOI]

Tommi Suvitaival

Simon Rogers

Bioinform., 2014

Exploration and retrieval of whole-metagenome sequencing samples.

[BibT_eX]

[DOI]

Bioinform., 2014

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

[BibT_eX]

[DOI]

Marjo-Riitta Järvelin

Samuli Ripatti

Bioinform., 2014

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

[BibT_eX]

[DOI]

Bioinform., 2014

Predicting term-relevance from brain signals.

[BibT_eX]

[DOI]

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Bayesian Multi-view Tensor Factorization.

[BibT_eX]

[DOI]

Suleiman A. Khan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods.

[BibT_eX]

[DOI]

Sohan Seth

John Shawe-Taylor

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Optimization Equivalence of Divergences Improves Neighbor Embedding.

[BibT_eX]

[DOI]

Zhirong Yang

Proceedings of the 31th International Conference on Machine Learning, 2014

Intentradar: search user interface that anticipates user's search intents.

[BibT_eX]

[DOI]

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Preface.

[BibT_eX]

[DOI]

Jukka Corander

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

Optimal Neighborhood Preserving Visualization by Maximum Satisfiability.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Bayesian Canonical correlation analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

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

[BibT_eX]

[DOI]

Marjo-Riitta Järvelin

Mika Ala-Korpela

CoRR, 2013

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

[BibT_eX]

[DOI]

Ritabrata Dutta

Sohan Seth

CoRR, 2013

Information Retrieval Perspective to Interactive Data Visualization.

[BibT_eX]

[DOI]

Max Sandholm

Proceedings of the 15th Eurographics Conference on Visualization, 2013

SciNet: a system for browsing scientific literature through keyword manipulation.

[BibT_eX]

[DOI]

Dorota Glowacka

Ksenia Konyushkova

Giulio Jacucci

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Directing exploratory search: reinforcement learning from user interactions with keywords.

[BibT_eX]

[DOI]

Dorota Glowacka

Ksenia Konyushkova

Giulio Jacucci

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Scalable Optimization of Neighbor Embedding for Visualization.

[BibT_eX]

[DOI]

Zhirong Yang

Proceedings of the 30th International Conference on Machine Learning, 2013

Kernelized Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Mehmet Gönen

Suleiman A. Khan

Proceedings of the 30th International Conference on Machine Learning, 2013

Adaptive timeline interface to personal history data.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Directing exploratory search with interactive intent modeling.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Supporting exploratory search tasks with interactive user modeling.

[BibT_eX]

[DOI]

Proceedings of the Beyond the Cloud: Rethinking Information Boundaries, 2013

2012

Focused multi-task learning in a Gaussian process framework.

[BibT_eX]

[DOI]

Gayle Leen

Mach. Learn., 2012

Bayesian Group Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Machine learning for signal processing 2010.

[BibT_eX]

[DOI]

Tapani Raiko

Neurocomputing, 2012

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

[BibT_eX]

[DOI]

BMC Bioinform., 2012

Targeted retrieval of gene expression measurements using regulatory models.

[BibT_eX]

[DOI]

Bioinform., 2012

Data-driven information retrieval in heterogeneous collections of transcriptomics data links <i>SIM2s</i> to malignant pleural mesothelioma.

[BibT_eX]

[DOI]

Bioinform., 2012

Unsupervised Inference of Auditory Attention from Biosensors.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning relevance from natural eye movements in pervasive interfaces.

[BibT_eX]

[DOI]

Melih Kandemir

Proceedings of the International Conference on Multimodal Interaction, 2012

Sparse Nonparametric Topic Model for Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

An augmented reality interface to contextual information.

[BibT_eX]

[DOI]

Virtual Real., 2011

Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Dimensionality Reduction for Data Visualization [Applications Corner].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2011

Metabolic Regulation in Progression to Autoimmune Diabetes.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2011

Introduction to the special issue on mining and learning with graphs.

[BibT_eX]

[DOI]

S. V. N. Vishwanathan

Jennifer Neville

Stefan Wrobel

Mach. Learn., 2011

Generative Modeling for Maximizing Precision and Recall in Information Visualization.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Hierarchical Generative Biclustering for MicroRNA Expression Analysis.

[BibT_eX]

[DOI]

José Caldas

J. Comput. Biol., 2011

Matching samples of multiple views.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2011

Focused Multi-task Learning Using Gaussian Processes.

[BibT_eX]

[DOI]

Gayle Leen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Multitask Learning Using Regularized Multiple Kernel Learning.

[BibT_eX]

[DOI]

Mehmet Gönen

Melih Kandemir

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Bayesian CCA via Group Sparsity.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Cross-Species Translation of Multi-way Biomarkers.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Probabilistic Proactive Timeline Browser.

[BibT_eX]

[DOI]

Antti Ajanki

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Three Paths to Relevance.

[BibT_eX]

[DOI]

Proceedings of the Brain-Inspired Information Technology, 2010

Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Infinite factorization of multiple non-parametric views.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Pinview: Implicit Feedback in Content-Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Relevant subtask learning by constrained mixture models.

[BibT_eX]

[DOI]

Yusuf Yaslan

Intell. Data Anal., 2010

Searching for functional gene modules with interaction component models.

[BibT_eX]

[DOI]

Juuso A. Parkkinen

BMC Syst. Biol., 2010

Global modeling of transcriptional responses in interaction networks.

[BibT_eX]

[DOI]

Leo Lahti

Juha E. A. Knuuttila

Bioinform., 2010

Multivariate multi-way analysis of multi-source data.

[BibT_eX]

[DOI]

Bioinform., 2010

Bayesian exponential family projections for coupled data sources.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Variational Bayesian Mixture of Robust CCA Models.

[BibT_eX]

[DOI]

Jaakko Viinikanoja

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graphical Multi-way Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Graph visualization with latent variable models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Inferring object relevance from gaze in dynamic scenes.

[BibT_eX]

[DOI]

Melih Kandemir

Veli-Matti Saarinen

Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications, 2010

2009

Can eyes reveal interest? Implicit queries from gaze patterns.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2009

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

[BibT_eX]

[DOI]

Jarkko Ylipaavalniemi

NeuroImage, 2009

Latent grouping models for user preference prediction.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Two-way analysis of high-dimensional collinear data.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2009

Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2009

Probabilistic retrieval and visualization of biologically relevant microarray experiments.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

Two-Way Grouping by One-Way Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Bayesian Solutions to the Label Switching Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

GaZIR: gaze-based zooming interface for image retrieval.

[BibT_eX]

[DOI]

László Kozma

Proceedings of the 11th International Conference on Multimodal Interfaces, 2009

Learning to rank images from eye movements.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Using dependencies to pair samples for multi-view learning.

[BibT_eX]

[DOI]

Abhishek Tripathi

Proceedings of the IEEE International Conference on Acoustics, 2009

Fast dependent components for fMRI analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Supervised nonlinear dimensionality reduction by Neighbor Retrieval.

[BibT_eX]

[DOI]

Helena Aidos

Proceedings of the IEEE International Conference on Acoustics, 2009

Automatic Choice of Control Measurements.

[BibT_eX]

[DOI]

Gayle Leen

David R. Hardoon

Proceedings of the Advances in Machine Learning, 2009

2008

Probabilistic approach to detecting dependencies between data sets.

[BibT_eX]

[DOI]

Neurocomputing, 2008

Simple integrative preprocessing preserves what is shared in data sources.

[BibT_eX]

[DOI]

Abhishek Tripathi

BMC Bioinform., 2008

Can relevance of images be inferred from eye movements?

[BibT_eX]

[DOI]

Craig Saunders

Teófilo Emídio de Campos

Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

An Analysis of Generalization Error in Relevant Subtask Learning.

[BibT_eX]

[DOI]

Keisuke Yamazaki

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Learning to learn implicit queries from gaze patterns.

[BibT_eX]

[DOI]

Antti Ajanki

Proceedings of the Machine Learning, 2008

2007

Nonlinear Dimensionality Reduction as Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Information Retrieval by Inferring Implicit Queries from Eye Movements.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Comparison of visualization methods for an atlas of gene expression data sets.

[BibT_eX]

[DOI]

Inf. Vis., 2007

Methods for estimating human endogenous retrovirus activities from EST databases.

[BibT_eX]

[DOI]

BMC Bioinform., 2007

Probabilistic modeling and machine learning in structural and systems biology.

[BibT_eX]

[DOI]

Juho Rousu

Esko Ukkonen

BMC Bioinform., 2007

Inferring Vertex Properties from Topology in Large Networks.

[BibT_eX]

[DOI]

Janne Aukia

Proceedings of the Mining and Learning with Graphs, 2007

Local dependent components.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Functional elements and networks in fMRI.

[BibT_eX]

[DOI]

Jarkko Ylipaavalniemi

Ricardo Vigário

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Learning from Relevant Tasks Only.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Local multidimensional scaling.

[BibT_eX]

[DOI]

Neural Networks, 2006

Visualizing gene interaction graphs with local multidimensional scaling.

[BibT_eX]

[DOI]

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Neural networks and machine learning in bioinformatics - theory and applications.

[BibT_eX]

[DOI]

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Discriminative components of data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2005

Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Discriminative clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2005

Self-organizing map-based discovery and visualization of human endogenous retroviral sequence groups.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2005

Exploratory modeling of yeast stress response and its regulation with gcca and associative clustering.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2005

Two-Way Latent Grouping Model for User Preference Prediction.

[BibT_eX]

[DOI]

Proceedings of the UAI '05, 2005

Combining eye movements and collaborative filtering for proactive information retrieval.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jarkko Salojärvi

Proceedings of the Machine Learning, 2005

Non-parametric dependent components.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Implicit Relevance Feedback from Eye Movements.

[BibT_eX]

[DOI]

Jarkko Salojärvi

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

On Discriminative Joint Density Modeling.

[BibT_eX]

[DOI]

Jarkko Salojärvi

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Principle of Learning Metrics for Exploratory Data Analysis.

[BibT_eX]

[DOI]

J. VLSI Signal Process., 2004

Improved learning of Riemannian metrics for exploratory analysis.

[BibT_eX]

[DOI]

Neural Networks, 2004

Mining massive document collections by the WEBSOM method.

[BibT_eX]

[DOI]

Krista Lagus

Inf. Sci., 2004

Exploring Dependencies Between Yeast Stress Genes and Their Regulators.

[BibT_eX]

[DOI]

Christophe Roos

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Sequential information bottleneck for finite data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Associative Clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2004, 2004

Grouping and visualizing human endogenous retroviruses by bootstrapping median self-organizing maps.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

2003

Methods for Exploratory Cluster Analysis.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Exploration of the Web, 2003

Trustworthiness and metrics in visualizing similarity of gene expression.

[BibT_eX]

[DOI]

BMC Bioinform., 2003

Regularized discriminative clustering.

[BibT_eX]

[DOI]

Proceedings of the NNSP 2003, 2003

Informative Discriminant Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Visualizations for Assessing Convergence and Mixing of MCMC.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Analysis and visualization of gene expression data using Self-Organizing Maps.

[BibT_eX]

[DOI]

Neural Networks, 2002

Clustering Based on Conditional Distributions in an Auxiliary Space.

[BibT_eX]

[DOI]

Neural Comput., 2002

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

[BibT_eX]

[DOI]

Ville Ollikainen

Christer Bäckström

Neurocomputing, 2002

Learning More Accurate Metrics for Self-Organizing Maps.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Discriminative Clustering: Optimal Contingency Tables by Learning Metrics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Bankruptcy analysis with self-organizing maps in learning metrics.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2001

A Topography-Preserving Latent Variable Model with Learning Metrics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organising Maps, 2001

SOM-Based Exploratory Analysis of Gene Expression Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organising Maps, 2001

Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

Clustering Gene Expression Data by Mutual Information with Gene Function.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2001

2000

Self organization of a massive document collection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2000

Metrics that Learn Relevance.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Clustering by Similarity in an Auxiliary Space.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

1999

Websom for Textual Data Mining.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 1999

1998

WEBSOM - Self-organizing maps of document collections.

[BibT_eX]

[DOI]

Neurocomputing, 1998

Methods for interpreting a self-organized map in data analysis.

[BibT_eX]

[DOI]

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997

Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method.

[BibT_eX]

[DOI]

Neural Process. Lett., 1997

Self-organized Formation of Various Invariant-feature Filters in the Adaptive-subspace SOM.

[BibT_eX]

[DOI]

Harri Lappalainen

Neural Comput., 1997

1996

Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Exploration of full-text databases with self-organizing maps.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Compression of vector quantization code sequences based on code frequencies and spatial redundancies.

[BibT_eX]

[DOI]

Jari Kangas

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Very Large Two-Level SOM for the Browsing of Newsgroups.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1996

Comparing Self-Organizing Maps.

[BibT_eX]

[DOI]

Krista Lagus

Proceedings of the Artificial Neural Networks, 1996

1995

Self-organizing map in recognition of topographic patterns of EEG spectra.

[BibT_eX]

[DOI]

Sirkka-Liisa Joutsiniemi

T. Andreo Larsen

IEEE Trans. Biomed. Eng., 1995

1994

Winner-take-all networks for physiological models of competitive learning.

[BibT_eX]

[DOI]

Neural Networks, 1994

1992

Using phoneme group specific LVQ-codebooks with HMMs.

[BibT_eX]

[DOI]

Pekka Utela