Jaakko Peltonen

According to our database1, Jaakko Peltonen
  • authored at least 62 papers between 2001 and 2018.
  • has a "Dijkstra number"2 of four.

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Bibliography

2018
Rethinking Summarization and Storytelling for Modern Social Multimedia.
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

PIHVI: Online Forum Posting Analysis with Interactive Hierarchical Visualisation.
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

2017
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis.
IEEE Trans. Vis. Comput. Graph., 2017

What you see is what you can change: Human-centered machine learning by interactive visualization.
Neurocomputing, 2017

User-Generated Content in Social Media (Dagstuhl Seminar 17301).
Dagstuhl Reports, 2017

Visualizing activity traces to support collaborative literature searching.
Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017

An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Negative Relevance Feedback for Exploratory Search with Visual Interactive Intent Modeling.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Improving Search Result Comprehension by Topic-Relevance Map Visualization.
Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

Topic-Relevance Map: Visualization for Improving Search Result Comprehension.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Parallel Coordinate Plots for Neighbor Retrieval.
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
Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-off.
CoRR, 2016

Digital Me: Controlling and Making Sense of My Digital Footprint.
Proceedings of the Symbiotic Interaction, 2016

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

Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-Off.
Proceedings of the Graph Drawing and Network Visualization, 2016

2015
Information retrieval approach to meta-visualization.
Machine Learning, 2015

An Information Retrieval Approach to Finding Dependent Subspaces of Multiple Views.
CoRR, 2015

User Model in a Box: Cross-System User Model Transfer for Resolving Cold Start Problems.
Proceedings of the User Modeling, Adaptation and Personalization, 2015

SciNet: Interactive Intent Modeling for Information Discovery.
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.
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
Optimizing Spatial and Temporal Reuse inWireless Networks by Decentralized Partially Observable Markov Decision Processes.
IEEE Trans. Mob. Comput., 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

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

2013
Transfer learning using a nonparametric sparse topic model.
Neurocomputing, 2013

Expectation Maximization for Average Reward Decentralized POMDPs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Multiplicative update for fast optimization of information retrieval based neighbor embedding.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

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

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

Information Retrieval Perspective to Meta-visualization.
Proceedings of the Asian Conference on Machine Learning, 2013

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

Machine learning for signal processing 2010.
Neurocomputing, 2012

Efficient optimization for data visualization as an information retrieval task.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

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

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

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

Fault tolerant machine learning for nanoscale cognitive radio.
Neurocomputing, 2011

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

Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning.
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.
Proceedings of the IJCAI 2011, 2011

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

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

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

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

Visualization by Linear Projections as Information Retrieval.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Latent state models of primary user behavior for opportunistic spectrum access.
Proceedings of the IEEE 20th International Symposium on Personal, 2009

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

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

Learning from Relevant Tasks Only.
Proceedings of the Machine Learning: ECML 2007, 2007

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

2004
Data exploration with learning metrics.
PhD thesis, 2004

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

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

2003
TimeMachine Oulu - Dynamic Creation of Cultural-Spatio-Temporal Models as a Mobile Service.
Proceedings of the Human-Computer Interaction with Mobile Devices and Services, 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
Learning More Accurate Metrics for Self-Organizing Maps.
Proceedings of the Artificial Neural Networks, 2002

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

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


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