According to our database1, Jaakko Peltonen authored at least 66 papers between 2001 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Interactive Intent Modeling for Exploratory Search.
ACM Trans. Inf. Syst., 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
GQA: Grammatical Question Answering for RDF Data.
Proceedings of the Semantic Web Challenges, 2018
Author Tree-Structured Hierarchical Dirichlet Process.
Proceedings of the Discovery Science - 21st International Conference, 2018
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.
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
Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-off.
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
Information retrieval approach to meta-visualization.
Machine Learning, 2015
An Information Retrieval Approach to Finding Dependent Subspaces of Multiple Views.
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
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
Transfer learning using a nonparametric sparse topic model.
Information Retrieval Perspective to Interactive Data Visualization.
Proceedings of the Eurographics Conference on Visualization, 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
Focused multi-task learning in a Gaussian process framework.
Machine Learning, 2012
Machine learning for signal processing 2010.
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
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.
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
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
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
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
Discriminative components of data.
IEEE Trans. Neural Networks, 2005
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
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
Learning More Accurate Metrics for Self-Organizing Maps.
Proceedings of the Artificial Neural Networks, 2002
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