Jaakko Peltonen

According to our database, Jaakko Peltonen authored at least 94 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

TraQuLA: Transparent Question Answering Over RDF Through Linguistic Analysis.

Elizaveta Zimina, Kalervo Järvelin, Jaakko Peltonen, Aarne Ranta, Jyrki Nummenmaa

Proceedings of the Web Engineering - 24th International Conference, 2024

2023

Faster Edge-Path Bundling through Graph Spanners.

Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen

Comput. Graph. Forum, September, 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

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

Fair Neighbor Embedding.

Jaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa

Proceedings of the International Conference on Machine Learning, 2023

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

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

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

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

Nonparametric exponential family graph embeddings for multiple representation learning.

Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Gaussian Copula Embeddings.

Chien Lu, Jaakko Peltonen

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

Supervised dimensionality reduction technique accounting for soft classes.

Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh

Proceedings of the 30th European Symposium on Artificial Neural Networks, 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

Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022), 2022

CryptoKitties vs. Axie Infinity: Computational Analysis of NFT Game Reddit Discussions.

Chien Lu, Giacomo Lauritano, Jaakko Peltonen

Proceedings of the ArtsIT, Interactivity and Game Creation, 2022

2021

The Role of Interactive Visualization in Fostering Trust in AI.

Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne

IEEE Computer Graphics and Applications, 2021

Directing and Combining Multiple Queries for Exploratory Search by Visual Interactive Intent Modeling.

Jonathan Strahl, Jaakko Peltonen, Patrik Floréen

Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 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

Proceedings of the 5th International GamiFIN Conference, Levi, Finland, April 7-9, 2021, 2021

Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates.

Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, Kalervo Jäarvelin

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction.

Benoît Colange, Jaakko Peltonen, Michaël Aupetit, Denys Dutykh, Sylvain Lespinats

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

What makes a trophy hunter? An empirical analysis of Reddit discussions.

Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Xiaozhou Li, Zheying Zhang

Proceedings of the 4th International GamiFIN Conference, Levi, Finland, April 1-3, 2020, 2020

Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining.

Chien Lu, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Interactivity and Game Creation, 2020

Scalable Probabilistic Matrix Factorization with Graph-Based Priors.

Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski

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

Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid.

Chien Lu, Jaakko Peltonen

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

2019

Computing Stable Demers Cartograms.

Soeren Nickel, Max Sondag, Wouter Meulemans, Markus Chimani, Stephen G. Kobourov, Jaakko Peltonen, Martin Nöllenburg

Proceedings of the Graph Drawing and Network Visualization - 27th International Symposium, 2019

A statistical analysis of Steam user profiles towards personalized gamification.

Xiaozhou Li, Chien Lu, Jaakko Peltonen, Zheying Zhang

Proceedings of the 3rd International GamiFIN Conference, Levi, Finland, April 8-10, 2019., 2019

Game postmortems vs. developer Reddit AMAs: computational analysis of developer communication.

Chien Lu, Jaakko Peltonen, Timo Nummenmaa

Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Adoption of Requirements Engineering Methods in Game Development: A Literature and Postmortem Analysis.

Miikka Lehtonen, Chien Lu, Timo Nummenmaa, Jaakko Peltonen

Proceedings of the Interactivity, Game Creation, Design, Learning, and Innovation, 2019

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

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, David A. Shamma, Alan F. Smeaton, Lexing Xie

Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

PIHVI: Online Forum Posting Analysis with Interactive Hierarchical Visualisation.

Jaakko Peltonen, Ziyuan Lin, Kalervo Järvelin, Jyrki Nummenmaa

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

GQA: Grammatical Question Answering for RDF Data.

Elizaveta Zimina, Jyrki Nummenmaa, Kalervo Järvelin, Jaakko Peltonen, Kostas Stefanidis, Heikki Hyyrö

Proceedings of the Semantic Web Challenges, 2018

Author Tree-Structured Hierarchical Dirichlet Process.

Md. Hijbul Alam, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin

Proceedings of the Discovery Science - 21st International Conference, 2018

Tree-Structured Hierarchical Dirichlet Process.

Md. Hijbul Alam, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin

Proceedings of the Distributed Computing and Artificial Intelligence, 2018

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

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

User-Generated Content in Social Media (Dagstuhl Seminar 17301).

Tat-Seng Chua, Norbert Fuhr, Gregory Grefenstette, Kalervo Järvelin, Jaakko Peltonen

Dagstuhl Reports, 2017

Visualizing activity traces to support collaborative literature searching.

Kumaripaba Athukorala, Luana Micallef, Chao An, Aki Reijonen, Jaakko Peltonen, Tuukka Ruotsalo, Giulio Jacucci

Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017

An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views.

Ziyuan Lin, Jaakko Peltonen

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Negative Relevance Feedback for Exploratory Search with Visual Interactive Intent Modeling.

Jaakko Peltonen, Jonathan Strahl, Patrik Floréen

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

Improving Search Result Comprehension by Topic-Relevance Map Visualization.

Jaakko Peltonen, Kseniia Belorustceva, Tuukka Ruotsalo

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

Topic-Relevance Map: Visualization for Improving Search Result Comprehension.

Jaakko Peltonen, Kseniia Belorustceva, Tuukka Ruotsalo

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

Parallel Coordinate Plots for Neighbor Retrieval.

Jaakko Peltonen, Ziyuan Lin

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Porto, Portugal, February 27, 2017

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

Proceedings of the Symbiotic Interaction, 2016

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

Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski

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

Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-Off.

Jaakko Peltonen, Ziyuan Lin

Proceedings of the Graph Drawing and Network Visualization - 24th International Symposium, 2016

2015

Information retrieval approach to meta-visualization.

Jaakko Peltonen, Ziyuan Lin

Mach. Learn., 2015

An Information Retrieval Approach to Finding Dependent Subspaces of Multiple Views.

Ziyuan Lin, Jaakko Peltonen

CoRR, 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

Proceedings of the User Modeling, Adaptation and Personalization, 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

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

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

Majorization-Minimization for Manifold Embedding.

Zhirong Yang, Jaakko Peltonen, Samuel Kaski

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

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

Optimization Equivalence of Divergences Improves Neighbor Embedding.

Zhirong Yang, Jaakko Peltonen, Samuel Kaski

Proceedings of the 31th International Conference on Machine Learning, 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

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

Optimal Neighborhood Preserving Visualization by Maximum Satisfiability.

Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski

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

2013

Transfer learning using a nonparametric sparse topic model.

Ali Faisal, Jussi Gillberg, Gayle Leen, Jaakko Peltonen

Neurocomputing, 2013

Information Retrieval Perspective to Interactive Data Visualization.

Jaakko Peltonen, Max Sandholm, Samuel Kaski

Proceedings of the 15th Eurographics Conference on Visualization, 2013

Expectation Maximization for Average Reward Decentralized POMDPs.

Joni Pajarinen, Jaakko Peltonen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Multiplicative update for fast optimization of information retrieval based neighbor embedding.

Jaakko Peltonen, Ziyuan Lin

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Scalable Optimization of Neighbor Embedding for Visualization.

Zhirong Yang, Jaakko Peltonen, Samuel Kaski

Proceedings of the 30th International Conference on Machine Learning, 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

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

Information Retrieval Perspective to Meta-visualization.

Jaakko Peltonen, Ziyuan Lin

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Focused multi-task learning in a Gaussian process framework.

Gayle Leen, Jaakko Peltonen, Samuel Kaski

Mach. Learn., 2012

Machine learning for signal processing 2010.

Jaakko Peltonen, Tapani Raiko, Samuel Kaski

Neurocomputing, 2012

Efficient optimization for data visualization as an information retrieval task.

Jaakko Peltonen, Konstantinos Georgatzis

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Sparse Nonparametric Topic Model for Transfer Learning.

Ali Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen, Samuel Kaski

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

2011

Dimensionality Reduction for Data Visualization [Applications Corner].

Samuel Kaski, Jaakko Peltonen

IEEE Signal Process. Mag., 2011

Generative Modeling for Maximizing Precision and Recall in Information Visualization.

Jaakko Peltonen, Samuel Kaski

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

Fault tolerant machine learning for nanoscale cognitive radio.

Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo

Neurocomputing, 2011

Focused Multi-task Learning Using Gaussian Processes.

Gayle Leen, Jaakko Peltonen, Samuel Kaski

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

Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning.

Joni Pajarinen, Jaakko Peltonen

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Efficient Planning for Factored Infinite-Horizon DEC-POMDPs.

Joni Pajarinen, Jaakko Peltonen

Proceedings of the IJCAI 2011, 2011

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

Relevant subtask learning by constrained mixture models.

Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski

Intell. Data Anal., 2010

Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations.

Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mikko A. Uusitalo

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

Graph visualization with latent variable models.

Juuso A. Parkkinen, Kristian Nybo, Jaakko Peltonen, Samuel Kaski

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.

Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

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

Jaakko Peltonen, Jarkko Venna, Samuel Kaski

Comput. Stat. Data Anal., 2009

Visualization by Linear Projections as Information Retrieval.

Jaakko Peltonen

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Latent state models of primary user behavior for opportunistic spectrum access.

Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo, Ari Hottinen

Proceedings of the IEEE 20th International Symposium on Personal, 2009

Supervised nonlinear dimensionality reduction by Neighbor Retrieval.

Jaakko Peltonen, Helena Aidos, Samuel Kaski

Proceedings of the IEEE International Conference on Acoustics, 2009

2007

Methods for estimating human endogenous retrovirus activities from EST databases.

Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel Kaski

BMC Bioinform., 2007

Learning from Relevant Tasks Only.

Samuel Kaski, Jaakko Peltonen

Proceedings of the Machine Learning: ECML 2007, 2007

2005

Discriminative components of data.

Jaakko Peltonen, Samuel Kaski

IEEE Trans. Neural Networks, 2005

2004

Data exploration with learning metrics.

Jaakko Peltonen

PhD thesis, 2004

Improved learning of Riemannian metrics for exploratory analysis.

Jaakko Peltonen, Arto Klami, Samuel Kaski

Neural Networks, 2004

Sequential information bottleneck for finite data.

Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski

Proceedings of the Machine Learning, 2004

2003

TimeMachine Oulu - Dynamic Creation of Cultural-Spatio-Temporal Models as a Mobile Service.

Jaakko Peltonen, Mark Ollila, Timo Ojala

Proceedings of the Human-Computer Interaction with Mobile Devices and Services, 2003

Informative Discriminant Analysis.

Samuel Kaski, Jaakko Peltonen

Proceedings of the Machine Learning, 2003

Visualizations for Assessing Convergence and Mixing of MCMC.

Jarkko Venna, Samuel Kaski, Jaakko Peltonen

Proceedings of the Machine Learning: ECML 2003, 2003

2002

Learning More Accurate Metrics for Self-Organizing Maps.

Jaakko Peltonen, Arto Klami, Samuel Kaski

Proceedings of the Artificial Neural Networks, 2002

2001

Bankruptcy analysis with self-organizing maps in learning metrics.

Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen

IEEE Trans. Neural Networks, 2001

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

Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen

Proceedings of the Data Warehousing and Knowledge Discovery, 2001