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2020 – today
- 2024
[c35]Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki:
Error bounds for any regression model using Gaussian processes with gradient information. AISTATS 2024: 397-405- [c34]Anton Björklund
, Lauri Seppäläinen, Kai Puolamäki:
SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI. IDA (2) 2024: 223-235 - [e2]Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 14948, Springer 2024, ISBN 978-3-031-70370-6 [contents] - [i20]Anri Patron, Ayush Prasad, Hoang Phuc Hau Luu, Kai Puolamäki:
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction. CoRR abs/2405.08486 (2024) - [i19]Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami:
Non-geodesically-convex optimization in the Wasserstein space. CoRR abs/2406.00502 (2024) - 2023
- [j26]Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki:
Explaining any black box model using real data. Frontiers Comput. Sci. 5 (2023) - [j25]Anton Björklund, Jarmo Mäkelä, Kai Puolamäki:
SLISEMAP: supervised dimensionality reduction through local explanations. Mach. Learn. 112(1): 1-43 (2023) - [j24]Rafael Savvides, Jarmo Mäkelä, Kai Puolamäki:
Model selection with bootstrap validation. Stat. Anal. Data Min. 16(2): 162-186 (2023) - [j23]Rafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki:
Visual Data Exploration as a Statistical Testing Procedure: Within-View and Between-View Multiple Comparisons. IEEE Trans. Vis. Comput. Graph. 29(9): 3937-3948 (2023) - [c33]Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki:
χiplot: Web-First Visualisation Platform for Multidimensional Data. ECML/PKDD (7) 2023: 335-339 - [i18]Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki:
χiplot: web-first visualisation platform for multidimensional data. CoRR abs/2306.12110 (2023) - [i17]Lauri Seppäläinen, Anton Björklund, Vitus Besel, Kai Puolamäki:
Using Slisemap to interpret physical data. CoRR abs/2310.15610 (2023) - 2022
- [j22]Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki:
Robust regression via error tolerance. Data Min. Knowl. Discov. 36(2): 781-810 (2022) - [c32]Anton Björklund, Jarmo Mäkelä, Kai Puolamäki:
SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations. ECML/PKDD (6) 2022: 612-616 - [i16]Anton Björklund, Jarmo Mäkelä, Kai Puolamäki:
SLISEMAP: Explainable Dimensionality Reduction. CoRR abs/2201.04455 (2022) - 2021
- [j21]Emilia Oikarinen, Henri Tiittanen, Andreas Henelius, Kai Puolamäki:
Detecting virtual concept drift of regressors without ground truth values. Data Min. Knowl. Discov. 35(3): 726-747 (2021) - [j20]Kai Puolamäki, Emilia Oikarinen, Andreas Henelius:
Guided Visual Exploration of Relations in Data Sets. J. Mach. Learn. Res. 22: 96:1-96:32 (2021) - [j19]Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Xiaoli Liu, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma:
Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical Analysis. ACM Trans. Sens. Networks 17(2): 20:1-20:44 (2021) - [c31]Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki:
Interactive Causal Structure Discovery in Earth System Sciences. CD@KDD 2021: 3-25 - [i15]Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki:
Interactive Causal Structure Discovery in Earth System Sciences. CoRR abs/2107.01126 (2021) - 2020
- [j18]Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive visual data exploration with subjective feedback: an information-theoretic approach. Data Min. Knowl. Discov. 34(1): 21-49 (2020) - [j17]Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie:
A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback. IEEE Trans. Knowl. Data Eng. 32(9): 1666-1679 (2020) - [i14]Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila:
Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining. CoRR abs/2006.09467 (2020)
2010 – 2019
- 2019
- [j16]Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, Kai Puolamäki:
Cognitive ergonomics for data analysis. Experimental study of cognitive limitations in a data-based judgement task. Behav. Inf. Technol. 38(10): 1038-1047 (2019) - [c30]Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki:
Sparse Robust Regression for Explaining Classifiers. DS 2019: 351-366 - [c29]Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, Kai Puolamäki:
Cognitive ergonomics for data analysis. ECCE 2019: 38-40 - [c28]Rafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki:
Significance of Patterns in Data Visualisations. KDD 2019: 1509-1517 - [c27]Emilia Oikarinen, Kai Puolamäki, Samaneh Khoshrou, Mykola Pechenizkiy:
Supervised Human-Guided Data Exploration. PKDD/ECML Workshops (1) 2019: 85-101 - [i13]Kai Puolamäki, Emilia Oikarinen, Andreas Henelius:
Guided Visual Exploration of Relations in Data Sets. CoRR abs/1905.02515 (2019) - [i12]Henri Tiittanen, Emilia Oikarinen, Andreas Henelius, Kai Puolamäki:
Estimating regression errors without ground truth values. CoRR abs/1910.04069 (2019) - [i11]Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma:
A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration. CoRR abs/1912.06384 (2019) - 2018
- [c26]Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. ICDE 2018: 1208-1211 - [c25]Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie:
Subjectively Interesting Subgroup Discovery on Real-Valued Targets. ICDE 2018: 1352-1355 - [c24]Andreas Henelius, Emilia Oikarinen, Kai Puolamäki:
Tiler: Software for Human-Guided Data Exploration. ECML/PKDD (3) 2018: 672-676 - [i10]Andreas Henelius, Emilia Oikarinen, Kai Puolamäki:
Human-Guided Data Exploration. CoRR abs/1804.03194 (2018) - [i9]Kai Puolamäki, Emilia Oikarinen, Buse Gul Atli, Andreas Henelius:
Human-guided data exploration using randomisation. CoRR abs/1805.07725 (2018) - [i8]Kai Puolamäki, Andreas Henelius, Antti Ukkonen:
Randomisation Algorithms for Large Sparse Matrices. CoRR abs/1811.05974 (2018) - 2017
- [j15]Kristian Lukander, Miika Toivanen, Kai Puolamäki:
Inferring Intent and Action from Gaze in Naturalistic Behavior: A Review. Int. J. Mob. Hum. Comput. Interact. 9(4): 41-57 (2017) - [c23]Jeremias Berg, Emilia Oikarinen, Matti Järvisalo, Kai Puolamäki:
Minimum-Width Confidence Bands via Constraint Optimization. CP 2017: 443-459 - [c22]Jussi Korpela, Emilia Oikarinen, Kai Puolamäki, Antti Ukkonen:
Multivariate Confidence Intervals. SDM 2017: 696-704 - [i7]Andreas Henelius, Kai Puolamäki, Antti Ukkonen:
Interpreting Classifiers through Attribute Interactions in Datasets. CoRR abs/1707.07576 (2017) - [i6]Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie:
Subjectively Interesting Subgroup Discovery on Real-valued Targets. CoRR abs/1710.04521 (2017) - [i5]Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. CoRR abs/1710.08167 (2017) - 2016
- [j14]Jussi Korpela, Andreas Henelius, Lauri Ahonen, Arto Klami, Kai Puolamäki:
Using regression makes extraction of shared variation in multiple datasets easy. Data Min. Knowl. Discov. 30(5): 1112-1133 (2016) - [j13]Jefrey Lijffijt, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila:
Significance testing of word frequencies in corpora. Digit. Scholarsh. Humanit. 31(2): 374-397 (2016) - [c21]Miika Toivanen, Kai Puolamäki, Kristian Lukander, Jukka Häkkinen, Jenni Radun:
Inferring user action with mobile gaze tracking. MobileHCI Adjunct 2016: 1026-1028 - [c20]Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie:
A Tool for Subjective and Interactive Visual Data Exploration. ECML/PKDD (3) 2016: 3-7 - [c19]Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Interactive Visual Data Exploration with Subjective Feedback. ECML/PKDD (2) 2016: 214-229 - [c18]Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki:
Semigeometric Tiling of Event Sequences. ECML/PKDD (1) 2016: 329-344 - [i4]Andreas Henelius, Antti Ukkonen, Kai Puolamäki:
Finding Statistically Significant Attribute Interactions. CoRR abs/1612.07597 (2016) - [i3]Andreas Henelius, Kai Puolamäki, Henrik Boström, Panagiotis Papapetrou:
Clustering with Confidence: Finding Clusters with Statistical Guarantees. CoRR abs/1612.08714 (2016) - 2015
- [j12]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki:
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences. Data Min. Knowl. Discov. 29(6): 1838-1864 (2015) - [c17]Andreas Henelius, Kai Puolamäki, Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, Panagiotis Papapetrou:
GoldenEye++: A Closer Look into the Black Box. SLDS 2015: 96-105 - 2014
- [j11]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki:
A statistical significance testing approach to mining the most informative set of patterns. Data Min. Knowl. Discov. 28(1): 238-263 (2014) - [j10]Andreas Henelius, Kai Puolamäki, Henrik Boström, Lars Asker, Panagiotis Papapetrou:
A peek into the black box: exploring classifiers by randomization. Data Min. Knowl. Discov. 28(5-6): 1503-1529 (2014) - [j9]Jussi Korpela, Kai Puolamäki, Aristides Gionis:
Confidence bands for time series data. Data Min. Knowl. Discov. 28(5-6): 1530-1553 (2014) - 2013
- [j8]Hannes Gamper, Christina Dicke, Mark Billinghurst, Kai Puolamäki:
Sound sample detection and numerosity estimation using auditory display. ACM Trans. Appl. Percept. 10(1): 4:1-4:18 (2013) - [c16]Andreas Henelius, Jussi Korpela, Kai Puolamäki:
Explaining Interval Sequences by Randomization. ECML/PKDD (1) 2013: 337-352 - 2012
- [c15]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki:
Size Matters: Finding the Most Informative Set of Window Lengths. ECML/PKDD (2) 2012: 451-466 - [i2]Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski:
Two-Way Latent Grouping Model for User Preference Prediction. CoRR abs/1207.1414 (2012) - 2011
- [j7]Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen:
An augmented reality interface to contextual information. Virtual Real. 15(2-3): 161-173 (2011) - [c14]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila:
Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. ECML/PKDD (2) 2011: 341-357 - 2010
- [c13]Kai Puolamäki, Panagiotis Papapetrou, Jefrey Lijffijt:
Visually Controllable Data Mining Methods. ICDM Workshops 2010: 409-417
2000 – 2009
- 2009
- [j6]Antti Ukkonen, Kai Puolamäki, Aristides Gionis, Heikki Mannila:
A randomized approximation algorithm for computing bucket orders. Inf. Process. Lett. 109(7): 356-359 (2009) - [j5]Eerika Savia, Kai Puolamäki, Samuel Kaski:
Latent grouping models for user preference prediction. Mach. Learn. 74(1): 75-109 (2009) - [j4]Kai Puolamäki, Alessio Bertone:
Introduction to the special issue on visual analytics and knowledge discovery. SIGKDD Explor. 11(2): 3-4 (2009) - [j3]Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor:
Can eyes reveal interest? Implicit queries from gaze patterns. User Model. User Adapt. Interact. 19(4): 307-339 (2009) - [c12]Eerika Savia, Kai Puolamäki, Samuel Kaski:
Two-Way Grouping by One-Way Topic Models. IDA 2009: 178-189 - [c11]Kai Puolamäki, Samuel Kaski:
Bayesian Solutions to the Label Switching Problem. IDA 2009: 381-392 - [c10]Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila:
Tell me something I don't know: randomization strategies for iterative data mining. KDD 2009: 379-388 - [c9]Sami Hanhijärvi, Gemma C. Garriga, Kai Puolamäki:
Randomization Techniques for Graphs. SDM 2009: 780-791 - [e1]Kai Puolamäki, Heikki Mannila, Alessio Bertone, Silvia Miksch:
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-670-0 [contents] - 2008
- [j2]Kai Puolamäki, Sami Hanhijärvi, Gemma C. Garriga:
An approximation ratio for biclustering. Inf. Process. Lett. 108(2): 45-49 (2008) - [c8]Kai Puolamäki, Antti Ajanki, Samuel Kaski:
Learning to learn implicit queries from gaze patterns. ICML 2008: 760-767 - 2007
- [c7]David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski:
Information Retrieval by Inferring Implicit Queries from Eye Movements. AISTATS 2007: 179-186 - [i1]Kai Puolamäki, Sami Hanhijärvi, Gemma C. Garriga:
An Approximation Ratio for Biclustering. CoRR abs/0712.2682 (2007) - 2006
- [j1]Kai Puolamäki, Mikael Fortelius, Heikki Mannila:
Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods. PLoS Comput. Biol. 2(2) (2006) - [c6]Aristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen:
Algorithms for discovering bucket orders from data. KDD 2006: 561-566 - 2005
- [c5]Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski:
On Discriminative Joint Density Modeling. ECML 2005: 341-352 - [c4]Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski:
Implicit Relevance Feedback from Eye Movements. ICANN (1) 2005: 513-518 - [c3]Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski:
Expectation maximization algorithms for conditional likelihoods. ICML 2005: 752-759 - [c2]Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, Samuel Kaski:
Combining eye movements and collaborative filtering for proactive information retrieval. SIGIR 2005: 146-153 - [c1]Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski:
Two-Way Latent Grouping Model for User Preference Prediction. UAI 2005: 518-524
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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