Kai Puolamäki

According to our database, Kai Puolamäki authored at least 72 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Non-geodesically-convex optimization in the Wasserstein space.

Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami

CoRR, 2024

Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction.

Anri Patron, Ayush Prasad, Hoang Phuc Hau Luu, Kai Puolamäki

CoRR, 2024

SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI.

Anton Björklund, Lauri Seppäläinen, Kai Puolamäki

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Error bounds for any regression model using Gaussian processes with gradient information.

Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Model selection with bootstrap validation.

Rafael Savvides, Jarmo Mäkelä, Kai Puolamäki

Stat. Anal. Data Min., April, 2023

SLISEMAP: supervised dimensionality reduction through local explanations.

Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

Mach. Learn., January, 2023

Visual Data Exploration as a Statistical Testing Procedure: Within-View and Between-View Multiple Comparisons.

Rafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki

IEEE Trans. Vis. Comput. Graph., 2023

Explaining any black box model using real data.

Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki

Frontiers Comput. Sci., 2023

Using Slisemap to interpret physical data.

Lauri Seppäläinen, Anton Björklund, Vitus Besel, Kai Puolamäki

CoRR, 2023

χiplot: Web-First Visualisation Platform for Multidimensional Data.

Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

Robust regression via error tolerance.

Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki

Data Min. Knowl. Discov., 2022

SLISEMAP: Explainable Dimensionality Reduction.

Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

CoRR, 2022

SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations.

Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical Analysis.

Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Xiaoli Liu, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma

ACM Trans. Sens. Networks, 2021

Guided Visual Exploration of Relations in Data Sets.

Kai Puolamäki, Emilia Oikarinen, Andreas Henelius

J. Mach. Learn. Res., 2021

Detecting virtual concept drift of regressors without ground truth values.

Emilia Oikarinen, Henri Tiittanen, Andreas Henelius, Kai Puolamäki

Data Min. Knowl. Discov., 2021

Interactive Causal Structure Discovery in Earth System Sciences.

Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki

Proceedings of the KDD 2021 Workshop on Causal Discovery, 2021

2020

A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback.

Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie

IEEE Trans. Knowl. Data Eng., 2020

Interactive visual data exploration with subjective feedback: an information-theoretic approach.

Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie

Data Min. Knowl. Discov., 2020

2019

A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration.

Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma

CoRR, 2019

Estimating regression errors without ground truth values.

Henri Tiittanen, Emilia Oikarinen, Andreas Henelius, Kai Puolamäki

CoRR, 2019

Cognitive ergonomics for data analysis. Experimental study of cognitive limitations in a data-based judgement task.

Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, Kai Puolamäki

Behav. Inf. Technol., 2019

Supervised Human-Guided Data Exploration.

Emilia Oikarinen, Kai Puolamäki, Samaneh Khoshrou, Mykola Pechenizkiy

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Significance of Patterns in Data Visualisations.

Rafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Cognitive ergonomics for data analysis.

Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, Kai Puolamäki

Proceedings of the 31st European Conference on Cognitive Ergonomics, 2019

Sparse Robust Regression for Explaining Classifiers.

Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki

Proceedings of the Discovery Science - 22nd International Conference, 2019

2018

Randomisation Algorithms for Large Sparse Matrices.

Kai Puolamäki, Andreas Henelius, Antti Ukkonen

CoRR, 2018

Human-guided data exploration using randomisation.

Kai Puolamäki, Emilia Oikarinen, Buse Gul Atli, Andreas Henelius

CoRR, 2018

Human-Guided Data Exploration.

Andreas Henelius, Emilia Oikarinen, Kai Puolamäki

CoRR, 2018

Tiler: Software for Human-Guided Data Exploration.

Andreas Henelius, Emilia Oikarinen, Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Subjectively Interesting Subgroup Discovery on Real-Valued Targets.

Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Inferring Intent and Action from Gaze in Naturalistic Behavior: A Review.

Kristian Lukander, Miika Toivanen, Kai Puolamäki

Int. J. Mob. Hum. Comput. Interact., 2017

Interpreting Classifiers through Attribute Interactions in Datasets.

Andreas Henelius, Kai Puolamäki, Antti Ukkonen

CoRR, 2017

Multivariate Confidence Intervals.

Jussi Korpela, Emilia Oikarinen, Kai Puolamäki, Antti Ukkonen

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Minimum-Width Confidence Bands via Constraint Optimization.

Jeremias Berg, Emilia Oikarinen, Matti Järvisalo, Kai Puolamäki

Proceedings of the Principles and Practice of Constraint Programming, 2017

2016

Significance testing of word frequencies in corpora.

Jefrey Lijffijt, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila

Digit. Scholarsh. Humanit., 2016

Using regression makes extraction of shared variation in multiple datasets easy.

Jussi Korpela, Andreas Henelius, Lauri Ahonen, Arto Klami, Kai Puolamäki

Data Min. Knowl. Discov., 2016

Finding Statistically Significant Attribute Interactions.

Andreas Henelius, Antti Ukkonen, Kai Puolamäki

CoRR, 2016

Clustering with Confidence: Finding Clusters with Statistical Guarantees.

Andreas Henelius, Kai Puolamäki, Henrik Boström, Panagiotis Papapetrou

CoRR, 2016

Interactive Visual Data Exploration with Subjective Feedback.

Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A Tool for Subjective and Interactive Visual Data Exploration.

Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Semigeometric Tiling of Event Sequences.

Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Inferring user action with mobile gaze tracking.

Miika Toivanen, Kai Puolamäki, Kristian Lukander, Jukka Häkkinen, Jenni Radun

Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2016

2015

Size matters: choosing the most informative set of window lengths for mining patterns in event sequences.

Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki

Data Min. Knowl. Discov., 2015

GoldenEye++: A Closer Look into the Black Box.

Andreas Henelius, Kai Puolamäki, Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, Panagiotis Papapetrou

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

2014

A statistical significance testing approach to mining the most informative set of patterns.

Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki

Data Min. Knowl. Discov., 2014

Confidence bands for time series data.

Jussi Korpela, Kai Puolamäki, Aristides Gionis

Data Min. Knowl. Discov., 2014

A peek into the black box: exploring classifiers by randomization.

Andreas Henelius, Kai Puolamäki, Henrik Boström, Lars Asker, Panagiotis Papapetrou

Data Min. Knowl. Discov., 2014

2013

Sound sample detection and numerosity estimation using auditory display.

Hannes Gamper, Christina Dicke, Mark Billinghurst, Kai Puolamäki

ACM Trans. Appl. Percept., 2013

Explaining Interval Sequences by Randomization.

Andreas Henelius, Jussi Korpela, Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Size Matters: Finding the Most Informative Set of Window Lengths.

Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

An augmented reality interface to contextual information.

Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen

Virtual Real., 2011

Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping.

Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Visually Controllable Data Mining Methods.

Kai Puolamäki, Panagiotis Papapetrou, Jefrey Lijffijt

Proceedings of the ICDMW 2010, 2010

2009

Can eyes reveal interest? Implicit queries from gaze patterns.

Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor

User Model. User Adapt. Interact., 2009

Introduction to the special issue on visual analytics and knowledge discovery.

Kai Puolamäki, Alessio Bertone

SIGKDD Explor., 2009

Latent grouping models for user preference prediction.

Eerika Savia, Kai Puolamäki, Samuel Kaski

Mach. Learn., 2009

A randomized approximation algorithm for computing bucket orders.

Antti Ukkonen, Kai Puolamäki, Aristides Gionis, Heikki Mannila

Inf. Process. Lett., 2009

Randomization Techniques for Graphs.

Sami Hanhijärvi, Gemma C. Garriga, Kai Puolamäki

Proceedings of the SIAM International Conference on Data Mining, 2009

Tell me something I don't know: randomization strategies for iterative data mining.

Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Two-Way Grouping by One-Way Topic Models.

Eerika Savia, Kai Puolamäki, Samuel Kaski

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Bayesian Solutions to the Label Switching Problem.

Kai Puolamäki, Samuel Kaski

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

2008

An approximation ratio for biclustering.

Kai Puolamäki, Sami Hanhijärvi, Gemma C. Garriga

Inf. Process. Lett., 2008

Learning to learn implicit queries from gaze patterns.

Kai Puolamäki, Antti Ajanki, Samuel Kaski

Proceedings of the Machine Learning, 2008

2007

Information Retrieval by Inferring Implicit Queries from Eye Movements.

David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2006

Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods.

Kai Puolamäki, Mikael Fortelius, Heikki Mannila

PLoS Comput. Biol., 2006

Algorithms for discovering bucket orders from data.

Aristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

Two-Way Latent Grouping Model for User Preference Prediction.

Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski

Proceedings of the UAI '05, 2005

Combining eye movements and collaborative filtering for proactive information retrieval.

Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, Samuel Kaski

Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Expectation maximization algorithms for conditional likelihoods.

Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

Proceedings of the Machine Learning, 2005

Implicit Relevance Feedback from Eye Movements.

Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

On Discriminative Joint Density Modeling.

Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

Proceedings of the Machine Learning: ECML 2005, 2005