Jaakko Peltonen

116 papers A* 12A 11B 6C 10Misc 2Journal 34Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Leveraging Large Language Models for Twitch Video Clip Understanding and Summarization. GamiFIN Jari Lindroos, Raine Koskimaa, Jaakko Peltonen, Tanja Välisalo, Ida Toivanen
2026	J	`jnl`	Multisided fairness under limited item availability in recommender systems. Inf. Sci. Reza Shafiloo, Maria Stratigi, Jaakko Peltonen, Kostas Stefanidis
2026	J	`jnl`	The many facets of fairness in recommender systems: Consumers, providers and items. Inf. Syst. Reza Shafiloo, Maria Stratigi, Jaakko Peltonen, Thomas Olsson, Kostas Stefanidis
2025	A*	`conf`	Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics. EMNLP Seyedeh Fatemeh Ebrahimi, Jaakko Peltonen
2025	J	`jnl`	Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics. CoRR Seyedeh Fatemeh Ebrahimi, Jaakko Peltonen
2025	—	`conf`	From PogChamps to Insights: Detecting Original Content in Twitch Chat. HICSS Jari Lindroos, Jaakko Peltonen, Tanja Välisalo, Raine Koskimaa, Ida Toivanen
2025	—	`conf`	Nonnegative Matrix Factorization for Joint Clustering and Topic Modeling with Minority Topics. ICONIP (1) Seyedeh Fatemeh Ebrahimi, Jaakko Peltonen
2025	—	`conf`	Participant Profiling on Twitch Based on Chat Activity and Message Content. GamiFIN Jari Lindroos, Ida Toivanen, Jaakko Peltonen, Tanja Välisalo, Raine Koskimaa, Sami Äyrämö
2024	—	`ed.`	Machine Learning Methods in Visualisation for Big Data 2024, MLVis@EuroVis 2024, Odense, Denmark, May 27, 2024 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2024	B	`conf`	TraQuLA: Transparent Question Answering Over RDF Through Linguistic Analysis. ICWE Elizaveta Zimina, Kalervo Järvelin, Jaakko Peltonen, Aarne Ranta, Jyrki Nummenmaa
2023	A*	`conf`	Fair Neighbor Embedding. ICML Jaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa
2023	J	`jnl`	Faster Edge-Path Bundling through Graph Spanners. Comput. Graph. Forum Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen
2023	J	`jnl`	Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input. CoRR Jalmari Tuominen, Eetu Pulkkinen, Jaakko Peltonen, Juho Kanniainen, Niku Oksala, Ari Palomäki, Antti Roine
2023	C	`conf`	Human-Environment Relationships in Alba: A Typological Analysis of Player Engagement in Steam Reviews. DiGRA Chien Lu, Giacomo Lauritano, Timo Nummenmaa, Jaakko Peltonen
2023	—	`ed.`	Machine Learning Methods in Visualisation for Big Data 2023, MLVis@EuroVis 2023, Leipzig, Germany, June 12, 2023 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2023	C	`conf`	Polarized Pills vs. Gaming Thrills: Empirical Exploration of r/TheRedPill and r/TheBluePill Users in r/gaming. DiGRA Giacomo Lauritano, Valeria Marina Borodi, Chien Lu, Jaakko Peltonen
2023	J	`jnl`	The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. IEEE Computer Graphics and Applications Stef van den Elzen, Gennady L. Andrienko, Natalia V. Andrienko, Brian D. Fisher, Rafael Messias Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen
2022	—	`conf`	Analyzing Temporalities in Parliamentary Speech about Ideologies Using Dependency Parsed Data. DHNB Kirsi Sandberg, Mykola Andrushchenko, Risto Turunen, Jani Marjanen, Jussi Kurunmäki, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa
2022	C	`conf`	CryptoKitties vs. Axie Infinity: Computational Analysis of NFT Game Reddit Discussions. ArtsIT Chien Lu, Giacomo Lauritano, Jaakko Peltonen
2022	J	`jnl`	Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. IEEE Trans. Vis. Comput. Graph. Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen
2022	J	`jnl`	Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach. BMC Medical Informatics Decis. Mak. Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen, Antti Roine
2022	A*	`conf`	Gaussian Copula Embeddings. NeurIPS Chien Lu, Jaakko Peltonen
2022	—	`ed.`	Machine Learning Methods in Visualisation for Big Data 2022, MLVis@EuroVis 2022, Rome, Italy, June 13, 2022 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2022	J	`jnl`	Multicriteria Optimization for Dynamic Demers Cartograms. IEEE Trans. Vis. Comput. Graph. Soeren Nickel, Max Sondag, Wouter Meulemans, Stephen G. Kobourov, Jaakko Peltonen, Martin Nöllenburg
2022	A	`conf`	Nonparametric exponential family graph embeddings for multiple representation learning. UAI Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa
2022	B	`conf`	Supervised dimensionality reduction technique accounting for soft classes. ESANN Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh
2022	J	`jnl`	Using parsed and annotated corpora to analyze parliamentarians' talk in Finland. J. Assoc. Inf. Sci. Technol. Mykola Andrushchenko, Kirsi Sandberg, Risto Turunen, Jani Marjanen, Mari Hatavara, Jussi Kurunmäki, Timo Nummenmaa, Matti Hyvärinen, Kari Teräs, Jaakko Peltonen, Jyrki Nummenmaa
2021	—	`conf`	"Switch" up your exercise: An empirical analysis of online user discussion of the Ring Fit Adventure exergame. GamiFIN Chien Lu, Lobna Hassan, Oguz Turan Buruk, Timo Nummenmaa, Jaakko Peltonen
2021	—	`ed.`	4th Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2021, Virtual Event, Switzerland, June 14, 2021 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2021	C	`conf`	Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates. ACML Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, Kalervo Jäarvelin
2021	—	`conf`	Directing and Combining Multiple Queries for Exploratory Search by Visual Interactive Intent Modeling. INTERACT (3) Jonathan Strahl, Jaakko Peltonen, Patrik Floréen
2021	J	`jnl`	Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. CoRR Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen
2021	J	`jnl`	The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 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
2020	—	`ed.`	3rd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@Eurographics/EuroVis 2020, Norrköping, Sweden, May 25, 2020 [online only] MLVis@Eurographics/EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2020	A*	`conf`	Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid. AAAI Chien Lu, Jaakko Peltonen
2020	C	`conf`	Patches and Player Community Perceptions: Analysis of No Man's Sky Steam Reviews. DiGRA Chien Lu, Xiaozhou Li, Timo Nummenmaa, Zheying Zhang, Jaakko Peltonen
2020	A	`conf`	Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining. CIKM Chien Lu, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin
2020	A*	`conf`	Scalable Probabilistic Matrix Factorization with Graph-Based Priors. AAAI Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski
2020	A*	`conf`	Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. NeurIPS Benoît Colange, Jaakko Peltonen, Michaël Aupetit, Denys Dutykh, Sylvain Lespinats
2020	C	`conf`	The World Is Your Playground: A Bibliometric and Text Mining Analysis of Location-Based Game Research. ArtsIT Chien Lu, Elina Koskinen, Dale Leorke, Timo Nummenmaa, Jaakko Peltonen
2020	—	`conf`	What makes a trophy hunter? An empirical analysis of Reddit discussions. GamiFIN Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Xiaozhou Li, Zheying Zhang
2019	—	`ed.`	2nd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2019, Porto, Portugal, June 3, 2019 MLVis@EuroVis Daniel Archambault, Ian T. Nabney, Jaakko Peltonen
2019	—	`conf`	A statistical analysis of Steam user profiles towards personalized gamification. GamiFIN Xiaozhou Li, Chien Lu, Jaakko Peltonen, Zheying Zhang
2019	—	`conf`	Adoption of Requirements Engineering Methods in Game Development: A Literature and Postmortem Analysis. ArtsIT/DLI Miikka Lehtonen, Chien Lu, Timo Nummenmaa, Jaakko Peltonen
2019	A	`conf`	Computing Stable Demers Cartograms. GD Soeren Nickel, Max Sondag, Wouter Meulemans, Markus Chimani, Stephen G. Kobourov, Jaakko Peltonen, Martin Nöllenburg
2019	J	`jnl`	Computing Stable Demers Cartograms. CoRR Soeren Nickel, Max Sondag, Wouter Meulemans, Markus Chimani, Stephen G. Kobourov, Jaakko Peltonen, Martin Nöllenburg
2019	C	`conf`	Game postmortems vs. developer Reddit AMAs: computational analysis of developer communication. FDG Chien Lu, Jaakko Peltonen, Timo Nummenmaa
2019	J	`jnl`	Scalable Probabilistic Matrix Factorization with Graph-Based Priors. CoRR Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski
2018	—	`ed.`	1st Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2018, Brno, Czech Republic, June 4, 2018 MLVis@EuroVis Ian T. Nabney, Jaakko Peltonen, Daniel Archambault
2018	B	`conf`	Author Tree-Structured Hierarchical Dirichlet Process. DS Md. Hijbul Alam, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin
2018	—	`conf`	GQA: Grammatical Question Answering for RDF Data. SemWebEval@ESWC Elizaveta Zimina, Jyrki Nummenmaa, Kalervo Järvelin, Jaakko Peltonen, Kostas Stefanidis, Heikki Hyyrö
2018	J	`jnl`	Interactive Intent Modeling for Exploratory Search. ACM Trans. Inf. Syst. Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2018	—	`conf`	PIHVI: Online Forum Posting Analysis with Interactive Hierarchical Visualisation. IUI Workshops Jaakko Peltonen, Ziyuan Lin, Kalervo Järvelin, Jyrki Nummenmaa
2018	—	`conf`	Rethinking Summarization and Storytelling for Modern Social Multimedia. MMM (1) 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
2018	—	`conf`	Tree-Structured Hierarchical Dirichlet Process. DCAI (Special Sessions) Md. Hijbul Alam, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin
2017	—	`conf`	An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views. MLDM Ziyuan Lin, Jaakko Peltonen
2017	—	`conf`	Improving Search Result Comprehension by Topic-Relevance Map Visualization. IUI Companion Jaakko Peltonen, Kseniia Belorustceva, Tuukka Ruotsalo
2017	A	`conf`	Negative Relevance Feedback for Exploratory Search with Visual Interactive Intent Modeling. IUI Jaakko Peltonen, Jonathan Strahl, Patrik Floréen
2017	—	`conf`	Parallel Coordinate Plots for Neighbor Retrieval. VISIGRAPP (3: IVAPP) Jaakko Peltonen, Ziyuan Lin
2017	A	`conf`	Topic-Relevance Map: Visualization for Improving Search Result Comprehension. IUI Jaakko Peltonen, Kseniia Belorustceva, Tuukka Ruotsalo
2017	J	`jnl`	User-Generated Content in Social Media (Dagstuhl Seminar 17301). Dagstuhl Reports Tat-Seng Chua, Norbert Fuhr, Gregory Grefenstette, Kalervo Järvelin, Jaakko Peltonen
2017	J	`jnl`	Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2017	C	`conf`	Visualizing activity traces to support collaborative literature searching. VINCI Kumaripaba Athukorala, Luana Micallef, Chao An, Aki Reijonen, Jaakko Peltonen, Tuukka Ruotsalo, Giulio Jacucci
2017	J	`jnl`	What you see is what you can change: Human-centered machine learning by interactive visualization. Neurocomputing Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2016	—	`conf`	Digital Me: Controlling and Making Sense of My Digital Footprint. Symbiotic Mats Sjöberg, Hung-Han Chen, Patrik Floréen, Markus Koskela, Kai Kuikkaniemi, Tuukka Lehtiniemi, Jaakko Peltonen
2016	A	`conf`	Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-Off. GD Jaakko Peltonen, Ziyuan Lin
2016	J	`jnl`	Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-off. CoRR Jaakko Peltonen, Ziyuan Lin
2016	—	`conf`	Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. ISVC (2) Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski
2015	J	`jnl`	An Information Retrieval Approach to Finding Dependent Subspaces of Multiple Views. CoRR Ziyuan Lin, Jaakko Peltonen
2015	J	`jnl`	Information retrieval approach to meta-visualization. Mach. Learn. Jaakko Peltonen, Ziyuan Lin
2015	A	`conf`	IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search. IUI Salvatore Andolina, Khalil Klouche, Jaakko Peltonen, Mohammad E. Hoque, Tuukka Ruotsalo, Diogo Cabral, Arto Klami, Dorota Glowacka, Patrik Floréen, Giulio Jacucci
2015	A	`conf`	Majorization-Minimization for Manifold Embedding. AISTATS Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2015	A*	`conf`	SciNet: Interactive Intent Modeling for Information Discovery. SIGIR Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2015	A	`conf`	User Model in a Box: Cross-System User Model Transfer for Resolving Cold Start Problems. UMAP Chirayu Wongchokprasitti, Jaakko Peltonen, Tuukka Ruotsalo, Payel Bandyopadhyay, Giulio Jacucci, Peter Brusilovsky
2014	—	`conf`	Intentradar: search user interface that anticipates user's search intents. CHI Extended Abstracts Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski
2014	A*	`conf`	Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. AAAI Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski
2014	A*	`conf`	Optimization Equivalence of Divergences Improves Neighbor Embedding. ICML Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2014	J	`jnl`	Optimizing Spatial and Temporal Reuse inWireless Networks by Decentralized Partially Observable Markov Decision Processes. IEEE Trans. Mob. Comput. Joni Pajarinen, Ari Hottinen, Jaakko Peltonen
2013	A	`conf`	Directing exploratory search with interactive intent modeling. CIKM Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski
2013	—	`conf`	Expectation Maximization for Average Reward Decentralized POMDPs. ECML/PKDD (1) Joni Pajarinen, Jaakko Peltonen
2013	—	`conf`	Information Retrieval Perspective to Interactive Data Visualization. EuroVis (Short Papers) Jaakko Peltonen, Max Sandholm, Samuel Kaski
2013	C	`conf`	Information Retrieval Perspective to Meta-visualization. ACML Jaakko Peltonen, Ziyuan Lin
2013	—	`conf`	Multiplicative update for fast optimization of information retrieval based neighbor embedding. MLSP Jaakko Peltonen, Ziyuan Lin
2013	—	`conf`	Scalable Optimization of Neighbor Embedding for Visualization. ICML (2) Zhirong Yang, Jaakko Peltonen, Samuel Kaski
2013	J	`jnl`	Transfer learning using a nonparametric sparse topic model. Neurocomputing Ali Faisal, Jussi Gillberg, Gayle Leen, Jaakko Peltonen
2012	—	`conf`	Efficient optimization for data visualization as an information retrieval task. MLSP Jaakko Peltonen, Konstantinos Georgatzis
2012	J	`jnl`	Focused multi-task learning in a Gaussian process framework. Mach. Learn. Gayle Leen, Jaakko Peltonen, Samuel Kaski
2012	J	`jnl`	Machine learning for signal processing 2010. Neurocomputing Jaakko Peltonen, Tapani Raiko, Samuel Kaski
2012	B	`conf`	Sparse Nonparametric Topic Model for Transfer Learning. ESANN Ali Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen, Samuel Kaski
2011	J	`jnl`	Dimensionality Reduction for Data Visualization [Applications Corner]. IEEE Signal Process. Mag. Samuel Kaski, Jaakko Peltonen
2011	A*	`conf`	Efficient Planning for Factored Infinite-Horizon DEC-POMDPs. IJCAI Joni Pajarinen, Jaakko Peltonen
2011	J	`jnl`	Fault tolerant machine learning for nanoscale cognitive radio. Neurocomputing Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
2011	—	`conf`	Focused Multi-task Learning Using Gaussian Processes. ECML/PKDD (2) Gayle Leen, Jaakko Peltonen, Samuel Kaski
2011	A	`conf`	Generative Modeling for Maximizing Precision and Recall in Information Visualization. AISTATS Jaakko Peltonen, Samuel Kaski
2011	—	`conf`	Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning. NIPS Joni Pajarinen, Jaakko Peltonen
2010	Misc	`conf`	An information retrieval perspective on visualization of gene expression data with ontological annotation. ICASSP Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski
2010	—	`conf`	Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. ECML/PKDD (3) Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mikko A. Uusitalo
2010	—	`conf`	Graph visualization with latent variable models. MLG@KDD Juuso A. Parkkinen, Kristian Nybo, Jaakko Peltonen, Samuel Kaski
2010	J	`jnl`	Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization. J. Mach. Learn. Res. Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski
2010	J	`jnl`	Relevant subtask learning by constrained mixture models. Intell. Data Anal. Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski
2009	B	`conf`	Latent state models of primary user behavior for opportunistic spectrum access. PIMRC Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo, Ari Hottinen
2009	Misc	`conf`	Supervised nonlinear dimensionality reduction by Neighbor Retrieval. ICASSP Jaakko Peltonen, Helena Aidos, Samuel Kaski
2009	—	`conf`	Visualization by Linear Projections as Information Retrieval. WSOM Jaakko Peltonen
2009	J	`jnl`	Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations. Comput. Stat. Data Anal. Jaakko Peltonen, Jarkko Venna, Samuel Kaski
2007	—	`conf`	Learning from Relevant Tasks Only. ECML Samuel Kaski, Jaakko Peltonen
2007	J	`jnl`	Methods for estimating human endogenous retrovirus activities from EST databases. BMC Bioinform. Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel Kaski
2005	J	`jnl`	Discriminative components of data. IEEE Trans. Neural Networks Jaakko Peltonen, Samuel Kaski
2004	—	`—`	Data exploration with learning metrics. Jaakko Peltonen
2004	J	`jnl`	Improved learning of Riemannian metrics for exploratory analysis. Neural Networks Jaakko Peltonen, Arto Klami, Samuel Kaski
2004	A*	`conf`	Sequential information bottleneck for finite data. ICML Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski
2003	A*	`conf`	Informative Discriminant Analysis. ICML Samuel Kaski, Jaakko Peltonen
2003	—	`conf`	TimeMachine Oulu - Dynamic Creation of Cultural-Spatio-Temporal Models as a Mobile Service. Mobile HCI Jaakko Peltonen, Mark Ollila, Timo Ojala
2003	—	`conf`	Visualizations for Assessing Convergence and Mixing of MCMC. ECML Jarkko Venna, Samuel Kaski, Jaakko Peltonen
2002	C	`conf`	Learning More Accurate Metrics for Self-Organizing Maps. ICANN Jaakko Peltonen, Arto Klami, Samuel Kaski
2001	J	`jnl`	Bankruptcy analysis with self-organizing maps in learning metrics. IEEE Trans. Neural Networks Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen
2001	B	`conf`	Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. DaWaK Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen