Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. - Samuel Kaski; Janne Sinkkonen; Jaakko Peltonen (DaWaK, 2001)

Bankruptcy analysis with self-organizing maps in learning metrics. - Samuel Kaski; Janne Sinkkonen; Jaakko Peltonen (IEEE Trans. Neural Networks, 2001)

Learning More Accurate Metrics for Self-Organizing Maps. - Jaakko Peltonen; Arto Klami; Samuel Kaski (ICANN, 2002)

Visualizations for Assessing Convergence and Mixing of MCMC. - Jarkko Venna; Samuel Kaski; Jaakko Peltonen (ECML, 2003)

Informative Discriminant Analysis. - Samuel Kaski; Jaakko Peltonen (ICML, 2003)

TimeMachine Oulu - Dynamic Creation of Cultural-Spatio-Temporal Models as a Mobile Service. - Jaakko Peltonen; Mark Ollila; Timo Ojala (Mobile HCI, 2003)

Sequential information bottleneck for finite data. - Jaakko Peltonen; Janne Sinkkonen; Samuel Kaski (ICML, 2004)

Improved learning of Riemannian metrics for exploratory analysis. - Jaakko Peltonen; Arto Klami; Samuel Kaski (Neural Networks, 2004)

Data exploration with learning metrics. - Jaakko Peltonen (2004)

Discriminative components of data. - Jaakko Peltonen; Samuel Kaski (IEEE Trans. Neural Networks, 2005)

Learning from Relevant Tasks Only. - Samuel Kaski; Jaakko Peltonen (ECML, 2007)

Methods for estimating human endogenous retrovirus activities from EST databases. - Merja Oja; Jaakko Peltonen; Jonas Blomberg; Samuel Kaski (BMC Bioinform., 2007)

Supervised nonlinear dimensionality reduction by Neighbor Retrieval. - Jaakko Peltonen; Helena Aidos; Samuel Kaski (ICASSP, 2009)

Latent state models of primary user behavior for opportunistic spectrum access. - Joni Pajarinen; Jaakko Peltonen; Mikko A. Uusitalo; Ari Hottinen (PIMRC, 2009)

Visualization by Linear Projections as Information Retrieval. - Jaakko Peltonen (WSOM, 2009)

Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations. - Jaakko Peltonen; Jarkko Venna; Samuel Kaski (Comput. Stat. Data Anal., 2009)

An information retrieval perspective on visualization of gene expression data with ontological annotation. - Jaakko Peltonen; Helena Aidos; Nils Gehlenborg; Alvis Brazma; Samuel Kaski (ICASSP, 2010)

Graph visualization with latent variable models. - Juuso A. Parkkinen; Kristian Nybo; Jaakko Peltonen; Samuel Kaski (MLG@KDD, 2010)

Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. - Joni Pajarinen; Jaakko Peltonen; Ari Hottinen; Mikko A. Uusitalo (ECML/PKDD (3), 2010)

Relevant subtask learning by constrained mixture models. - Jaakko Peltonen; Yusuf Yaslan; Samuel Kaski (Intell. Data Anal., 2010)

Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization. - Jarkko Venna; Jaakko Peltonen; Kristian Nybo; Helena Aidos; Samuel Kaski (J. Mach. Learn. Res., 2010)

Efficient Planning for Factored Infinite-Horizon DEC-POMDPs. - Joni Pajarinen; Jaakko Peltonen (IJCAI, 2011)

Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning. - Joni Pajarinen; Jaakko Peltonen (NIPS, 2011)

Focused Multi-task Learning Using Gaussian Processes. - Gayle Leen; Jaakko Peltonen; Samuel Kaski (ECML/PKDD (2), 2011)

Fault tolerant machine learning for nanoscale cognitive radio. - Joni Pajarinen; Jaakko Peltonen; Mikko A. Uusitalo (Neurocomputing, 2011)

Generative Modeling for Maximizing Precision and Recall in Information Visualization. - Jaakko Peltonen; Samuel Kaski (AISTATS, 2011)

Dimensionality Reduction for Data Visualization [Applications Corner]. - Samuel Kaski; Jaakko Peltonen (IEEE Signal Process. Mag., 2011)

Sparse Nonparametric Topic Model for Transfer Learning. - Ali Faisal; Jussi Gillberg; Jaakko Peltonen; Gayle Leen; Samuel Kaski (ESANN, 2012)

Efficient optimization for data visualization as an information retrieval task. - Jaakko Peltonen; Konstantinos Georgatzis (MLSP, 2012)

Machine learning for signal processing 2010. - Jaakko Peltonen; Tapani Raiko; Samuel Kaski (Neurocomputing, 2012)

Focused multi-task learning in a Gaussian process framework. - Gayle Leen; Jaakko Peltonen; Samuel Kaski (Mach. Learn., 2012)

Information Retrieval Perspective to Meta-visualization. - Jaakko Peltonen; Ziyuan Lin (ACML, 2013)

Directing exploratory search with interactive intent modeling. - Tuukka Ruotsalo; Jaakko Peltonen; Manuel J. A. Eugster; Dorota Glowacka; Ksenia Konyushkova; Kumaripaba Athukorala; Ilkka Kosunen; Aki Reijonen; Petri Myllymäki; Giulio Jacucci; Samuel Kaski (CIKM, 2013)

Scalable Optimization of Neighbor Embedding for Visualization. - Zhirong Yang; Jaakko Peltonen; Samuel Kaski (ICML (2), 2013)

Multiplicative update for fast optimization of information retrieval based neighbor embedding. - Jaakko Peltonen; Ziyuan Lin (MLSP, 2013)

Expectation Maximization for Average Reward Decentralized POMDPs. - Joni Pajarinen; Jaakko Peltonen (ECML/PKDD (1), 2013)

Information Retrieval Perspective to Interactive Data Visualization. - Jaakko Peltonen; Max Sandholm; Samuel Kaski (EuroVis (Short Papers), 2013)

Transfer learning using a nonparametric sparse topic model. - Ali Faisal; Jussi Gillberg; Gayle Leen; Jaakko Peltonen (Neurocomputing, 2013)

Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. - Kerstin Bunte; Matti Järvisalo; Jeremias Berg; Petri Myllymäki; Jaakko Peltonen; Samuel Kaski (AAAI, 2014)

Intentradar: search user interface that anticipates user's search intents. - Tuukka Ruotsalo; Jaakko Peltonen; Manuel J. A. Eugster; Dorota Glowacka; Aki Reijonen; Giulio Jacucci; Petri Myllymäki; Samuel Kaski (CHI Extended Abstracts, 2014)

Optimization Equivalence of Divergences Improves Neighbor Embedding. - Zhirong Yang; Jaakko Peltonen; Samuel Kaski (ICML, 2014)

Optimizing Spatial and Temporal Reuse inWireless Networks by Decentralized Partially Observable Markov Decision Processes. - Joni Pajarinen; Ari Hottinen; Jaakko Peltonen (IEEE Trans. Mob. Comput., 2014)

Majorization-Minimization for Manifold Embedding. - Zhirong Yang; Jaakko Peltonen; Samuel Kaski (AISTATS, 2015)

IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search. - Salvatore Andolina; Khalil Klouche; Jaakko Peltonen; Mohammad E. Hoque; Tuukka Ruotsalo; Diogo Cabral; Arto Klami; Dorota Glowacka; Patrik Floréen; Giulio Jacucci (IUI, 2015)

SciNet: Interactive Intent Modeling for Information Discovery. - Tuukka Ruotsalo; Jaakko Peltonen; Manuel J. A. Eugster; Dorota Glowacka; Aki Reijonen; Giulio Jacucci; Petri Myllymäki; Samuel Kaski (SIGIR, 2015)

User Model in a Box: Cross-System User Model Transfer for Resolving Cold Start Problems. - Chirayu Wongchokprasitti; Jaakko Peltonen; Tuukka Ruotsalo; Payel Bandyopadhyay; Giulio Jacucci; Peter Brusilovsky (UMAP, 2015)

An Information Retrieval Approach to Finding Dependent Subspaces of Multiple Views. - Ziyuan Lin; Jaakko Peltonen (CoRR, 2015)

Information retrieval approach to meta-visualization. - Jaakko Peltonen; Ziyuan Lin (Mach. Learn., 2015)

Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-Off. - Jaakko Peltonen; Ziyuan Lin (GD, 2016)

Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. - Hamed Rezazadegan Tavakoli; Hanieh Poostchi; Jaakko Peltonen; Jorma Laaksonen; Samuel Kaski (ISVC (2), 2016)

Digital Me: Controlling and Making Sense of My Digital Footprint. - Mats Sjöberg; Hung-Han Chen; Patrik Floréen; Markus Koskela; Kai Kuikkaniemi; Tuukka Lehtiniemi; Jaakko Peltonen (Symbiotic, 2016)

Parallel Coordinate Plots for Neighbor Retrieval. - Jaakko Peltonen; Ziyuan Lin (VISIGRAPP (3: IVAPP), 2017)

Topic-Relevance Map: Visualization for Improving Search Result Comprehension. - Jaakko Peltonen; Kseniia Belorustceva; Tuukka Ruotsalo (IUI, 2017)

Improving Search Result Comprehension by Topic-Relevance Map Visualization. - Jaakko Peltonen; Kseniia Belorustceva; Tuukka Ruotsalo (IUI Companion, 2017)

Negative Relevance Feedback for Exploratory Search with Visual Interactive Intent Modeling. - Jaakko Peltonen; Jonathan Strahl; Patrik Floréen (IUI, 2017)

An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views. - Ziyuan Lin; Jaakko Peltonen (MLDM, 2017)

Visualizing activity traces to support collaborative literature searching. - Kumaripaba Athukorala; Luana Micallef; Chao An; Aki Reijonen; Jaakko Peltonen; Tuukka Ruotsalo; Giulio Jacucci (VINCI, 2017)

User-Generated Content in Social Media (Dagstuhl Seminar 17301). - Tat-Seng Chua; Norbert Fuhr; Gregory Grefenstette; Kalervo Järvelin; Jaakko Peltonen (Dagstuhl Reports, 2017)

What you see is what you can change: Human-centered machine learning by interactive visualization. - Dominik Sacha; Michael Sedlmair; Leishi Zhang; John Aldo Lee; Jaakko Peltonen; Daniel Weiskopf; Stephen C. North; Daniel A. Keim (Neurocomputing, 2017)

Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. - Dominik Sacha; Leishi Zhang; Michael Sedlmair; John Aldo Lee; Jaakko Peltonen; Daniel Weiskopf; Stephen C. North; Daniel A. Keim (IEEE Trans. Vis. Comput. Graph., 2017)

Tree-Structured Hierarchical Dirichlet Process. - Md. Hijbul Alam; Jaakko Peltonen; Jyrki Nummenmaa; Kalervo Järvelin (DCAI (Special Sessions), 2018)

Author Tree-Structured Hierarchical Dirichlet Process. - Md. Hijbul Alam; Jaakko Peltonen; Jyrki Nummenmaa; Kalervo Järvelin (DS, 2018)

GQA: Grammatical Question Answering for RDF Data. - Elizaveta Zimina; Jyrki Nummenmaa; Kalervo Järvelin; Jaakko Peltonen; Kostas Stefanidis; Heikki Hyyrö (SemWebEval@ESWC, 2018)

PIHVI: Online Forum Posting Analysis with Interactive Hierarchical Visualisation. - Jaakko Peltonen; Ziyuan Lin; Kalervo Järvelin; Jyrki Nummenmaa (IUI Workshops, 2018)

Rethinking Summarization and Storytelling for Modern Social Multimedia. - Stevan Rudinac; Tat-Seng Chua; Nicolás E. Díaz Ferreyra; Gerald Friedland; Tatjana Gornostaja; Benoit Huet; Rianne Kaptein; Krister Lindén; Marie-Francine Moens; Jaakko Peltonen; Miriam Redi; Markus Schedl; et al. (MMM (1), 2018)

Interactive Intent Modeling for Exploratory Search. - Tuukka Ruotsalo; Jaakko Peltonen; Manuel J. A. Eugster; Dorota Glowacka; Patrik Floréen; Petri Myllymäki; Giulio Jacucci; Samuel Kaski (ACM Trans. Inf. Syst., 2018)

Adoption of Requirements Engineering Methods in Game Development: A Literature and Postmortem Analysis. - Miikka Lehtonen; Chien Lu; Timo Nummenmaa; Jaakko Peltonen (ArtsIT/DLI, 2019)

Game postmortems vs. developer Reddit AMAs: computational analysis of developer communication. - Chien Lu; Jaakko Peltonen; Timo Nummenmaa (FDG, 2019)

A statistical analysis of Steam user profiles towards personalized gamification. - Xiaozhou Li 002; Chien Lu; Jaakko Peltonen; Zheying Zhang (GamiFIN, 2019)

Computing Stable Demers Cartograms. - Soeren Nickel; Max Sondag; Wouter Meulemans; Markus Chimani; Stephen G. Kobourov; Jaakko Peltonen; Martin Nöllenburg (GD, 2019)

Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid. - Chien Lu; Jaakko Peltonen (AAAI, 2020)

Scalable Probabilistic Matrix Factorization with Graph-Based Priors. - Jonathan Strahl; Jaakko Peltonen; Hiroshi Mamitsuka; Samuel Kaski (AAAI, 2020)

The World Is Your Playground: A Bibliometric and Text Mining Analysis of Location-Based Game Research. - Chien Lu; Elina Koskinen; Dale Leorke; Timo Nummenmaa; Jaakko Peltonen (ArtsIT, 2020)

Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining. - Chien Lu; Jaakko Peltonen; Jyrki Nummenmaa; Kalervo Järvelin (CIKM, 2020)

Patches and Player Community Perceptions: Analysis of No Man's Sky Steam Reviews. - Chien Lu; Xiaozhou Li 002; Timo Nummenmaa; Zheying Zhang; Jaakko Peltonen (DiGRA, 2020)

What makes a trophy hunter? An empirical analysis of Reddit discussions. - Chien Lu; Jaakko Peltonen; Timo Nummenmaa; Xiaozhou Li 002; Zheying Zhang (GamiFIN, 2020)

Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. - Benoît Colange; Jaakko Peltonen; Michaël Aupetit 001; Denys Dutykh; Sylvain Lespinats (NeurIPS, 2020)

Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates. - Chien Lu; Jaakko Peltonen; Timo Nummenmaa; Jyrki Nummenmaa; Kalervo Jäarvelin (ACML, 2021)

"Switch" up your exercise: An empirical analysis of online user discussion of the Ring Fit Adventure exergame. - Chien Lu; Lobna Hassan; Oguz Turan Buruk; Timo Nummenmaa; Jaakko Peltonen (GamiFIN, 2021)

Directing and Combining Multiple Queries for Exploratory Search by Visual Interactive Intent Modeling. - Jonathan Strahl; Jaakko Peltonen; Patrik Floréen (INTERACT (3), 2021)

The Role of Interactive Visualization in Fostering Trust in AI. - Emma Beauxis-Aussalet; Michael Behrisch 001; Rita Borgo; Duen Horng Chau; Christopher Collins 001; David S. Ebert; Mennatallah El-Assady; Alex Endert; Daniel A. Keim; Jörn Kohlhammer; Daniela Oelke; Jaakko Peltonen; et al. (IEEE Computer Graphics and Applications, 2021)

CryptoKitties vs. Axie Infinity: Computational Analysis of NFT Game Reddit Discussions. - Chien Lu; Giacomo Lauritano; Jaakko Peltonen (ArtsIT, 2022)

Analyzing Temporalities in Parliamentary Speech about Ideologies Using Dependency Parsed Data. - Kirsi Sandberg; Mykola Andrushchenko; Risto Turunen; Jani Marjanen; Jussi Kurunmäki; Jaakko Peltonen; Timo Nummenmaa; Jyrki Nummenmaa (DHNB, 2022)

Supervised dimensionality reduction technique accounting for soft classes. - Sorina Mustatea; Michaël Aupetit 001; Jaakko Peltonen; Sylvain Lespinats; Denys Dutykh (ESANN, 2022)

Gaussian Copula Embeddings. - Chien Lu; Jaakko Peltonen (NeurIPS, 2022)

Nonparametric exponential family graph embeddings for multiple representation learning. - Chien Lu; Jaakko Peltonen; Timo Nummenmaa; Jyrki Nummenmaa (UAI, 2022)

Using parsed and annotated corpora to analyze parliamentarians' talk in Finland. - Mykola Andrushchenko; Kirsi Sandberg; Risto Turunen; Jani Marjanen; Mari Hatavara; Jussi Kurunmäki; Timo Nummenmaa; Matti Hyvärinen; Kari Teräs; Jaakko Peltonen; Jyrki Nummenmaa (J. Assoc. Inf. Sci. Technol., 2022)

Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach. - Jalmari Tuominen; Francesco Lomio; Niku Oksala; Ari Palomäki; Jaakko Peltonen; Heikki Huttunen; Antti Roine (BMC Medical Informatics Decis. Mak., 2022)

Multicriteria Optimization for Dynamic Demers Cartograms. - Soeren Nickel; Max Sondag; Wouter Meulemans; Stephen G. Kobourov; Jaakko Peltonen; Martin Nöllenburg (IEEE Trans. Vis. Comput. Graph., 2022)

Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. - Markus Wallinger; Daniel Archambault; David Auber; Martin Nöllenburg; Jaakko Peltonen (IEEE Trans. Vis. Comput. Graph., 2022)

Polarized Pills vs. Gaming Thrills: Empirical Exploration of r/TheRedPill and r/TheBluePill Users in r/gaming. - Giacomo Lauritano; Valeria Marina Borodi; Chien Lu; Jaakko Peltonen (DiGRA, 2023)

Human-Environment Relationships in Alba: A Typological Analysis of Player Engagement in Steam Reviews. - Chien Lu; Giacomo Lauritano; Timo Nummenmaa; Jaakko Peltonen (DiGRA, 2023)

Fair Neighbor Embedding. - Jaakko Peltonen; Wen Xu; Timo Nummenmaa; Jyrki Nummenmaa (ICML, 2023)

The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. - Stef van den Elzen; Gennady L. Andrienko; Natalia V. Andrienko; Brian D. Fisher; Rafael Messias Martins; Jaakko Peltonen; Alexandru C. Telea; Michel Verleysen (IEEE Computer Graphics and Applications, 2023)

Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input. - Jalmari Tuominen; Eetu Pulkkinen; Jaakko Peltonen; Juho Kanniainen; Niku Oksala; Ari Palomäki; Antti Roine (CoRR, 2023)

Faster Edge-Path Bundling through Graph Spanners. - Markus Wallinger; Daniel Archambault; David Auber; Martin Nöllenburg; Jaakko Peltonen (Comput. Graph. Forum, 2023)

TraQuLA: Transparent Question Answering Over RDF Through Linguistic Analysis. - Elizaveta Zimina; Kalervo Järvelin; Jaakko Peltonen; Aarne Ranta; Jyrki Nummenmaa (ICWE, 2024)

Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics. - Seyedeh Fatemeh Ebrahimi; Jaakko Peltonen (CoRR, 2025)