default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJaakko Peltonen
Person information
- affiliation: Aalto University, Finland
- affiliation: University of Tampere, Finland
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c66]Elizaveta Zimina
, Kalervo Järvelin, Jaakko Peltonen, Aarne Ranta, Jyrki Nummenmaa:
TraQuLA: Transparent Question Answering Over RDF Through Linguistic Analysis. ICWE 2024: 19-33- 2023
- [j24]Stef van den Elzen, Gennady L. Andrienko, Natalia V. Andrienko, Brian D. Fisher, Rafael Messias Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen:
The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. IEEE Computer Graphics and Applications 43(2): 78-88 (2023) - [j23]Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen:
Faster Edge-Path Bundling through Graph Spanners. Comput. Graph. Forum 42(6) (2023) - [c65]Jaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa:
Fair Neighbor Embedding. ICML 2023: 27564-27584 - [e6]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
Machine Learning Methods in Visualisation for Big Data 2023, MLVis@EuroVis 2023, Leipzig, Germany, June 12, 2023. Eurographics Association 2023, ISBN 978-3-03868-224-0 [contents] - [i7]Jalmari Tuominen, Eetu Pulkkinen, Jaakko Peltonen, Juho Kanniainen, Niku Oksala, Ari Palomäki, Antti Roine:
Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input. CoRR abs/2308.16544 (2023) - 2022
- [j22]Mykola Andrushchenko, Kirsi Sandberg, Risto Turunen, Jani Marjanen, Mari Hatavara, Jussi Kurunmäki, Timo Nummenmaa, Matti Hyvärinen, Kari Teräs, Jaakko Peltonen, Jyrki Nummenmaa:
Using parsed and annotated corpora to analyze parliamentarians' talk in Finland. J. Assoc. Inf. Sci. Technol. 73(2): 288-302 (2022) - [j21]Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen, Antti Roine:
Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach. BMC Medical Informatics Decis. Mak. 22(1): 134 (2022) - [j20]Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen:
Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. IEEE Trans. Vis. Comput. Graph. 28(1): 313-323 (2022) - [j19]Soeren Nickel, Max Sondag, Wouter Meulemans, Stephen G. Kobourov, Jaakko Peltonen, Martin Nöllenburg:
Multicriteria Optimization for Dynamic Demers Cartograms. IEEE Trans. Vis. Comput. Graph. 28(6): 2376-2387 (2022) - [c64]Chien Lu, Giacomo Lauritano, Jaakko Peltonen:
CryptoKitties vs. Axie Infinity: Computational Analysis of NFT Game Reddit Discussions. ArtsIT 2022: 105-120 - [c63]Kirsi Sandberg, Mykola Andrushchenko, Risto Turunen, Jani Marjanen, Jussi Kurunmäki, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa:
Analyzing Temporalities in Parliamentary Speech about Ideologies Using Dependency Parsed Data. DHNB 2022: 406-414 - [c62]Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh:
Supervised dimensionality reduction technique accounting for soft classes. ESANN 2022 - [c61]Chien Lu, Jaakko Peltonen:
Gaussian Copula Embeddings. NeurIPS 2022 - [c60]Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa:
Nonparametric exponential family graph embeddings for multiple representation learning. UAI 2022: 1275-1285 - [e5]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
Machine Learning Methods in Visualisation for Big Data 2022, MLVis@EuroVis 2022, Rome, Italy, June 13, 2022. Eurographics Association 2022, ISBN 978-3-03868-182-3 [contents] - 2021
- [j18]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:
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6): 7-12 (2021) - [c59]Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, Kalervo Jäarvelin:
Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates. ACML 2021: 1129-1144 - [c58]Chien Lu, Lobna Hassan, Oguz Turan Buruk, Timo Nummenmaa, Jaakko Peltonen:
"Switch" up your exercise: An empirical analysis of online user discussion of the Ring Fit Adventure exergame. GamiFIN 2021: 70-79 - [c57]Jonathan Strahl, Jaakko Peltonen, Patrik Floréen:
Directing and Combining Multiple Queries for Exploratory Search by Visual Interactive Intent Modeling. INTERACT (3) 2021: 514-535 - [e4]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
4th Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2021, Virtual Event, Switzerland, June 14, 2021. Eurographics Association 2021, ISBN 978-3-03868-146-5 [contents] - [i6]Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen:
Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. CoRR abs/2108.05467 (2021) - 2020
- [c56]Chien Lu, Jaakko Peltonen:
Enhancing Nearest Neighbor Based Entropy Estimator for High Dimensional Distributions via Bootstrapping Local Ellipsoid. AAAI 2020: 5013-5020 - [c55]Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski:
Scalable Probabilistic Matrix Factorization with Graph-Based Priors. AAAI 2020: 5851-5858 - [c54]Chien Lu, Elina Koskinen, Dale Leorke, Timo Nummenmaa, Jaakko Peltonen:
The World Is Your Playground: A Bibliometric and Text Mining Analysis of Location-Based Game Research. ArtsIT 2020: 160-179 - [c53]Chien Lu, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin:
Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining. CIKM 2020: 1035-1043 - [c52]Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Xiaozhou Li, Zheying Zhang:
What makes a trophy hunter? An empirical analysis of Reddit discussions. GamiFIN 2020: 146-156 - [c51]Benoît Colange, Jaakko Peltonen, Michaël Aupetit, Denys Dutykh, Sylvain Lespinats:
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. NeurIPS 2020 - [e3]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
3rd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@Eurographics/EuroVis 2020, Norrköping, Sweden, May 25, 2020 [online only]. Eurographics Association 2020, ISBN 978-3-03868-113-7 [contents]
2010 – 2019
- 2019
- [c50]Miikka Lehtonen, Chien Lu, Timo Nummenmaa, Jaakko Peltonen:
Adoption of Requirements Engineering Methods in Game Development: A Literature and Postmortem Analysis. ArtsIT/DLI 2019: 436-457 - [c49]Chien Lu, Jaakko Peltonen, Timo Nummenmaa:
Game postmortems vs. developer Reddit AMAs: computational analysis of developer communication. FDG 2019: 22:1-22:7 - [c48]Xiaozhou Li, Chien Lu, Jaakko Peltonen, Zheying Zhang:
A statistical analysis of Steam user profiles towards personalized gamification. GamiFIN 2019: 217-228 - [c47]Soeren Nickel, Max Sondag, Wouter Meulemans, Markus Chimani, Stephen G. Kobourov, Jaakko Peltonen, Martin Nöllenburg:
Computing Stable Demers Cartograms. GD 2019: 46-60 - [e2]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
2nd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2019, Porto, Portugal, June 3, 2019. Eurographics Association 2019, ISBN 978-3-03868-089-5 [contents] - [i5]Soeren Nickel, Max Sondag, Wouter Meulemans, Markus Chimani, Stephen G. Kobourov, Jaakko Peltonen, Martin Nöllenburg:
Computing Stable Demers Cartograms. CoRR abs/1908.07291 (2019) - [i4]Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka, Samuel Kaski:
Scalable Probabilistic Matrix Factorization with Graph-Based Priors. CoRR abs/1908.09393 (2019) - 2018
- [j17]Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Patrik Floréen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski:
Interactive Intent Modeling for Exploratory Search. ACM Trans. Inf. Syst. 36(4): 44:1-44:46 (2018) - [c46]Md. Hijbul Alam, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin:
Tree-Structured Hierarchical Dirichlet Process. DCAI (Special Sessions) 2018: 291-299 - [c45]Md. Hijbul Alam, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin:
Author Tree-Structured Hierarchical Dirichlet Process. DS 2018: 311-327 - [c44]Elizaveta Zimina, Jyrki Nummenmaa, Kalervo Järvelin, Jaakko Peltonen, Kostas Stefanidis, Heikki Hyyrö:
GQA: Grammatical Question Answering for RDF Data. SemWebEval@ESWC 2018: 82-97 - [c43]Jaakko Peltonen, Ziyuan Lin, Kalervo Järvelin, Jyrki Nummenmaa:
PIHVI: Online Forum Posting Analysis with Interactive Hierarchical Visualisation. IUI Workshops 2018 - [c42]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:
Rethinking Summarization and Storytelling for Modern Social Multimedia. MMM (1) 2018: 632-644 - [e1]Ian T. Nabney, Jaakko Peltonen, Daniel Archambault:
1st Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2018, Brno, Czech Republic, June 4, 2018. Eurographics Association 2018, ISBN 978-3-03868-062-8 [contents] - 2017
- [j16]Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
What you see is what you can change: Human-centered machine learning by interactive visualization. Neurocomputing 268: 164-175 (2017) - [j15]Dominik Sacha, Leishi Zhang, Michael Sedlmair, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. IEEE Trans. Vis. Comput. Graph. 23(1): 241-250 (2017) - [c41]Jaakko Peltonen, Ziyuan Lin:
Parallel Coordinate Plots for Neighbor Retrieval. VISIGRAPP (3: IVAPP) 2017: 40-51 - [c40]Jaakko Peltonen, Kseniia Belorustceva, Tuukka Ruotsalo:
Improving Search Result Comprehension by Topic-Relevance Map Visualization. IUI Companion 2017: 149-152 - [c39]Jaakko Peltonen, Jonathan Strahl, Patrik Floréen:
Negative Relevance Feedback for Exploratory Search with Visual Interactive Intent Modeling. IUI 2017: 149-159 - [c38]Jaakko Peltonen, Kseniia Belorustceva, Tuukka Ruotsalo:
Topic-Relevance Map: Visualization for Improving Search Result Comprehension. IUI 2017: 611-622 - [c37]Ziyuan Lin, Jaakko Peltonen:
An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views. MLDM 2017: 1-16 - [c36]Kumaripaba Athukorala, Luana Micallef, Chao An, Aki Reijonen, Jaakko Peltonen, Tuukka Ruotsalo, Giulio Jacucci:
Visualizing activity traces to support collaborative literature searching. VINCI 2017: 45-52 - [i3]Tat-Seng Chua, Norbert Fuhr, Gregory Grefenstette, Kalervo Järvelin, Jaakko Peltonen:
User-Generated Content in Social Media (Dagstuhl Seminar 17301). Dagstuhl Reports 7(7): 110-154 (2017) - 2016
- [c35]Jaakko Peltonen, Ziyuan Lin:
Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-Off. GD 2016: 52-64 - [c34]Hamed Rezazadegan Tavakoli, Hanieh Poostchi, Jaakko Peltonen, Jorma Laaksonen, Samuel Kaski:
Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations. ISVC (2) 2016: 576-585 - [c33]Mats Sjöberg, Hung-Han Chen, Patrik Floréen, Markus Koskela, Kai Kuikkaniemi, Tuukka Lehtiniemi, Jaakko Peltonen:
Digital Me: Controlling and Making Sense of My Digital Footprint. Symbiotic 2016: 155-167 - [i2]Jaakko Peltonen, Ziyuan Lin:
Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-off. CoRR abs/1609.00719 (2016) - 2015
- [j14]Jaakko Peltonen, Ziyuan Lin:
Information retrieval approach to meta-visualization. Mach. Learn. 99(2): 189-229 (2015) - [c32]Zhirong Yang, Jaakko Peltonen, Samuel Kaski:
Majorization-Minimization for Manifold Embedding. AISTATS 2015 - [c31]Salvatore Andolina, Khalil Klouche, Jaakko Peltonen, Mohammad E. Hoque, Tuukka Ruotsalo, Diogo Cabral, Arto Klami, Dorota Glowacka, Patrik Floréen, Giulio Jacucci:
IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search. IUI 2015: 300-305 - [c30]Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski:
SciNet: Interactive Intent Modeling for Information Discovery. SIGIR 2015: 1043-1044 - [c29]Chirayu Wongchokprasitti, Jaakko Peltonen, Tuukka Ruotsalo, Payel Bandyopadhyay, Giulio Jacucci, Peter Brusilovsky:
User Model in a Box: Cross-System User Model Transfer for Resolving Cold Start Problems. UMAP 2015: 289-301 - [i1]Ziyuan Lin, Jaakko Peltonen:
An Information Retrieval Approach to Finding Dependent Subspaces of Multiple Views. CoRR abs/1511.06423 (2015) - 2014
- [j13]Joni Pajarinen, Ari Hottinen, Jaakko Peltonen:
Optimizing Spatial and Temporal Reuse inWireless Networks by Decentralized Partially Observable Markov Decision Processes. IEEE Trans. Mob. Comput. 13(4): 866-879 (2014) - [c28]Kerstin Bunte, Matti Järvisalo, Jeremias Berg, Petri Myllymäki, Jaakko Peltonen, Samuel Kaski:
Optimal Neighborhood Preserving Visualization by Maximum Satisfiability. AAAI 2014: 1694-1700 - [c27]Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski:
Intentradar: search user interface that anticipates user's search intents. CHI Extended Abstracts 2014: 455-458 - [c26]Zhirong Yang, Jaakko Peltonen, Samuel Kaski:
Optimization Equivalence of Divergences Improves Neighbor Embedding. ICML 2014: 460-468 - 2013
- [j12]Ali Faisal, Jussi Gillberg, Gayle Leen, Jaakko Peltonen:
Transfer learning using a nonparametric sparse topic model. Neurocomputing 112: 124-137 (2013) - [c25]Jaakko Peltonen, Ziyuan Lin:
Information Retrieval Perspective to Meta-visualization. ACML 2013: 165-180 - [c24]Tuukka Ruotsalo, Jaakko Peltonen, Manuel J. A. Eugster, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, Samuel Kaski:
Directing exploratory search with interactive intent modeling. CIKM 2013: 1759-1764 - [c23]Zhirong Yang, Jaakko Peltonen, Samuel Kaski:
Scalable Optimization of Neighbor Embedding for Visualization. ICML (2) 2013: 127-135 - [c22]Jaakko Peltonen, Ziyuan Lin:
Multiplicative update for fast optimization of information retrieval based neighbor embedding. MLSP 2013: 1-6 - [c21]Joni Pajarinen, Jaakko Peltonen:
Expectation Maximization for Average Reward Decentralized POMDPs. ECML/PKDD (1) 2013: 129-144 - [c20]Jaakko Peltonen, Max Sandholm, Samuel Kaski:
Information Retrieval Perspective to Interactive Data Visualization. EuroVis (Short Papers) 2013 - 2012
- [j11]Jaakko Peltonen, Tapani Raiko, Samuel Kaski:
Machine learning for signal processing 2010. Neurocomputing 80: 1-2 (2012) - [j10]Gayle Leen, Jaakko Peltonen, Samuel Kaski:
Focused multi-task learning in a Gaussian process framework. Mach. Learn. 89(1-2): 157-182 (2012) - [c19]Ali Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen, Samuel Kaski:
Sparse Nonparametric Topic Model for Transfer Learning. ESANN 2012 - [c18]Jaakko Peltonen, Konstantinos Georgatzis:
Efficient optimization for data visualization as an information retrieval task. MLSP 2012: 1-6 - 2011
- [j9]Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo:
Fault tolerant machine learning for nanoscale cognitive radio. Neurocomputing 74(5): 753-764 (2011) - [j8]Samuel Kaski, Jaakko Peltonen:
Dimensionality Reduction for Data Visualization [Applications Corner]. IEEE Signal Process. Mag. 28(2): 100-104 (2011) - [c17]Joni Pajarinen, Jaakko Peltonen:
Efficient Planning for Factored Infinite-Horizon DEC-POMDPs. IJCAI 2011: 325-331 - [c16]Joni Pajarinen, Jaakko Peltonen:
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning. NIPS 2011: 2636-2644 - [c15]Gayle Leen, Jaakko Peltonen, Samuel Kaski:
Focused Multi-task Learning Using Gaussian Processes. ECML/PKDD (2) 2011: 310-325 - [c14]Jaakko Peltonen, Samuel Kaski:
Generative Modeling for Maximizing Precision and Recall in Information Visualization. AISTATS 2011: 579-587 - 2010
- [j7]Jaakko Peltonen, Yusuf Yaslan, Samuel Kaski:
Relevant subtask learning by constrained mixture models. Intell. Data Anal. 14(6): 641-662 (2010) - [j6]Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski:
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization. J. Mach. Learn. Res. 11: 451-490 (2010) - [c13]Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski:
An information retrieval perspective on visualization of gene expression data with ontological annotation. ICASSP 2010: 2178-2181 - [c12]Juuso A. Parkkinen, Kristian Nybo, Jaakko Peltonen, Samuel Kaski:
Graph visualization with latent variable models. MLG@KDD 2010: 94-101 - [c11]Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mikko A. Uusitalo:
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. ECML/PKDD (3) 2010: 1-16
2000 – 2009
- 2009
- [j5]Jaakko Peltonen, Jarkko Venna, Samuel Kaski:
Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations. Comput. Stat. Data Anal. 53(12): 4453-4470 (2009) - [c10]Jaakko Peltonen, Helena Aidos, Samuel Kaski:
Supervised nonlinear dimensionality reduction by Neighbor Retrieval. ICASSP 2009: 1809-1812 - [c9]Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo, Ari Hottinen:
Latent state models of primary user behavior for opportunistic spectrum access. PIMRC 2009: 1267-1271 - [c8]Jaakko Peltonen:
Visualization by Linear Projections as Information Retrieval. WSOM 2009: 237-245 - 2007
- [j4]Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel Kaski:
Methods for estimating human endogenous retrovirus activities from EST databases. BMC Bioinform. 8(S-2) (2007) - [c7]Samuel Kaski, Jaakko Peltonen:
Learning from Relevant Tasks Only. ECML 2007: 608-615 - 2005
- [j3]Jaakko Peltonen, Samuel Kaski:
Discriminative components of data. IEEE Trans. Neural Networks 16(1): 68-83 (2005) - 2004
- [b1]Jaakko Peltonen:
Data exploration with learning metrics. Helsinki University of Technology, Finland, 2004 - [j2]Jaakko Peltonen, Arto Klami, Samuel Kaski:
Improved learning of Riemannian metrics for exploratory analysis. Neural Networks 17(8-9): 1087-1100 (2004) - [c6]Jaakko Peltonen, Janne Sinkkonen, Samuel Kaski:
Sequential information bottleneck for finite data. ICML 2004 - 2003
- [c5]Jarkko Venna, Samuel Kaski, Jaakko Peltonen:
Visualizations for Assessing Convergence and Mixing of MCMC. ECML 2003: 432-443 - [c4]Samuel Kaski, Jaakko Peltonen:
Informative Discriminant Analysis. ICML 2003: 329-336 - [c3]Jaakko Peltonen, Mark Ollila, Timo Ojala:
TimeMachine Oulu - Dynamic Creation of Cultural-Spatio-Temporal Models as a Mobile Service. Mobile HCI 2003: 342-346 - 2002
- [c2]Jaakko Peltonen, Arto Klami, Samuel Kaski:
Learning More Accurate Metrics for Self-Organizing Maps. ICANN 2002: 999-1004 - 2001
- [j1]Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen:
Bankruptcy analysis with self-organizing maps in learning metrics. IEEE Trans. Neural Networks 12(4): 936-947 (2001) - [c1]Samuel Kaski, Janne Sinkkonen, Jaakko Peltonen:
Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics. DaWaK 2001: 162-173
Coauthor Index