Kai Puolamäki

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 52

Top Topics

Robust Regression

Interactive Visual

Dimensionality Reduction

Data Exploration

Top Venues

Data Min. Knowl. Discov.

Publications

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 (2024)
Anri Patron, Ayush Prasad, Hoang Phuc Hau Luu, Kai Puolamäki
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction. CoRR (2024)
Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki
Error bounds for any regression model using Gaussian processes with gradient information. AISTATS (2024)
Anton Björklund, Lauri Seppäläinen, Kai Puolamäki
SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI. IDA (2) (2024)
Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki
Explaining any black box model using real data. Frontiers Comput. Sci. 5 (2023)
Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
χiplot: Web-First Visualisation Platform for Multidimensional Data. ECML/PKDD (7) (2023)
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) (2023)
Lauri Seppäläinen, Anton Björklund, Vitus Besel, Kai Puolamäki
Using Slisemap to interpret physical data. CoRR (2023)
Rafael Savvides, Jarmo Mäkelä, Kai Puolamäki
Model selection with bootstrap validation. Stat. Anal. Data Min. 16 (2) (2023)
Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
SLISEMAP: supervised dimensionality reduction through local explanations. Mach. Learn. 112 (1) (2023)
Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
χiplot: web-first visualisation platform for multidimensional data. CoRR (2023)
Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations. ECML/PKDD (6) (2022)
Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki
Robust regression via error tolerance. Data Min. Knowl. Discov. 36 (2) (2022)
Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
SLISEMAP: Explainable Dimensionality Reduction. CoRR (2022)
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) (2021)
Kai Puolamäki, Emilia Oikarinen, Andreas Henelius
Guided Visual Exploration of Relations in Data Sets. J. Mach. Learn. Res. 22 (2021)
Emilia Oikarinen, Henri Tiittanen, Andreas Henelius, Kai Puolamäki
Detecting virtual concept drift of regressors without ground truth values. Data Min. Knowl. Discov. 35 (3) (2021)
Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki
Interactive Causal Structure Discovery in Earth System Sciences. CoRR (2021)
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)
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) (2020)
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) (2020)
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 (2020)
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) (2019)
Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki
Sparse Robust Regression for Explaining Classifiers. DS (2019)
Henri Tiittanen, Emilia Oikarinen, Andreas Henelius, Kai Puolamäki
Estimating regression errors without ground truth values. CoRR (2019)
Rafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
Significance of Patterns in Data Visualisations. KDD (2019)
Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, Kai Puolamäki
Cognitive ergonomics for data analysis. ECCE (2019)
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 (2019)
Emilia Oikarinen, Kai Puolamäki, Samaneh Khoshrou, Mykola Pechenizkiy
Supervised Human-Guided Data Exploration. PKDD/ECML Workshops (1) (2019)
Kai Puolamäki, Emilia Oikarinen, Andreas Henelius
Guided Visual Exploration of Relations in Data Sets. CoRR (2019)
Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
Human-Guided Data Exploration. CoRR (2018)
Kai Puolamäki, Emilia Oikarinen, Buse Gul Atli, Andreas Henelius
Human-guided data exploration using randomisation. CoRR (2018)
Kai Puolamäki, Andreas Henelius, Antti Ukkonen
Randomisation Algorithms for Large Sparse Matrices. CoRR (2018)
Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
Tiler: Software for Human-Guided Data Exploration. ECML/PKDD (3) (2018)
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. ICDE (2018)
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
Subjectively Interesting Subgroup Discovery on Real-Valued Targets. ICDE (2018)
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
Subjectively Interesting Subgroup Discovery on Real-valued Targets. CoRR (2017)
Jeremias Berg, Emilia Oikarinen, Matti Järvisalo, Kai Puolamäki
Minimum-Width Confidence Bands via Constraint Optimization. CP (2017)
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. CoRR (2017)
Andreas Henelius, Kai Puolamäki, Antti Ukkonen
Interpreting Classifiers through Attribute Interactions in Datasets. CoRR (2017)
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) (2017)
Jussi Korpela, Emilia Oikarinen, Kai Puolamäki, Antti Ukkonen
Multivariate Confidence Intervals. SDM (2017)
Miika Toivanen, Kai Puolamäki, Kristian Lukander, Jukka Häkkinen, Jenni Radun
Inferring user action with mobile gaze tracking. MobileHCI Adjunct (2016)
Andreas Henelius, Antti Ukkonen, Kai Puolamäki
Finding Statistically Significant Attribute Interactions. CoRR (2016)
Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki
Semigeometric Tiling of Event Sequences. ECML/PKDD (1) (2016)
Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
A Tool for Subjective and Interactive Visual Data Exploration. ECML/PKDD (3) (2016)
Jefrey Lijffijt, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila
Significance testing of word frequencies in corpora. Digit. Scholarsh. Humanit. 31 (2) (2016)
Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback. ECML/PKDD (2) (2016)
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) (2016)
Andreas Henelius, Kai Puolamäki, Henrik Boström, Panagiotis Papapetrou
Clustering with Confidence: Finding Clusters with Statistical Guarantees. CoRR (2016)
Andreas Henelius, Kai Puolamäki, Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, Panagiotis Papapetrou
GoldenEye++: A Closer Look into the Black Box. SLDS (2015)
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) (2015)
Jussi Korpela, Kai Puolamäki, Aristides Gionis
Confidence bands for time series data. Data Min. Knowl. Discov. 28 (5-6) (2014)
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) (2014)
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) (2014)
Andreas Henelius, Jussi Korpela, Kai Puolamäki
Explaining Interval Sequences by Randomization. ECML/PKDD (1) (2013)
Hannes Gamper, Christina Dicke, Mark Billinghurst, Kai Puolamäki
Sound sample detection and numerosity estimation using auditory display. ACM Trans. Appl. Percept. 10 (1) (2013)
Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki
Size Matters: Finding the Most Informative Set of Window Lengths. ECML/PKDD (2) (2012)
Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski
Two-Way Latent Grouping Model for User Preference Prediction CoRR (2012)
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) (2011)
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)
Kai Puolamäki, Panagiotis Papapetrou, Jefrey Lijffijt
Visually Controllable Data Mining Methods. ICDM Workshops (2010)
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) (2009)
Eerika Savia, Kai Puolamäki, Samuel Kaski
Latent grouping models for user preference prediction. Mach. Learn. 74 (1) (2009)
Sami Hanhijärvi, Gemma C. Garriga, Kai Puolamäki
Randomization Techniques for Graphs. SDM (2009)
Antti Ukkonen, Kai Puolamäki, Aristides Gionis, Heikki Mannila
A randomized approximation algorithm for computing bucket orders. Inf. Process. Lett. 109 (7) (2009)
Eerika Savia, Kai Puolamäki, Samuel Kaski
Two-Way Grouping by One-Way Topic Models. IDA (2009)
Kai Puolamäki, Samuel Kaski
Bayesian Solutions to the Label Switching Problem. IDA (2009)
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)
Kai Puolamäki, Alessio Bertone
Introduction to the special issue on visual analytics and knowledge discovery. SIGKDD Explor. 11 (2) (2009)
Kai Puolamäki, Sami Hanhijärvi, Gemma C. Garriga
An approximation ratio for biclustering. Inf. Process. Lett. 108 (2) (2008)
Kai Puolamäki, Antti Ajanki, Samuel Kaski
Learning to learn implicit queries from gaze patterns. ICML (2008)
David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski
Information Retrieval by Inferring Implicit Queries from Eye Movements. AISTATS (2007)
Kai Puolamäki, Sami Hanhijärvi, Gemma C. Garriga
An Approximation Ratio for Biclustering CoRR (2007)
Kai Puolamäki, Mikael Fortelius, Heikki Mannila
Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods. PLoS Comput. Biol. 2 (2) (2006)
Aristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen
Algorithms for discovering bucket orders from data. KDD (2006)
Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
Expectation maximization algorithms for conditional likelihoods. ICML (2005)
Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski
Two-Way Latent Grouping Model for User Preference Prediction. UAI (2005)
Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
Implicit Relevance Feedback from Eye Movements. ICANN (1) (2005)
Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, Samuel Kaski
Combining eye movements and collaborative filtering for proactive information retrieval. SIGIR (2005)
Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
On Discriminative Joint Density Modeling. ECML (2005)