Kai Puolamäki

92 papers A* 9A 7B 4Journal 51Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Information Hidden in Gradients of Regression with Target Noise. CoRR Arash Jamshidi, Katsiaryna Haitsiukevich, Kai Puolamäki
2026	J	`jnl`	PhiPlot: A Web-Based Interactive EDA Environment for Atmospherically Relevant Molecules. CoRR Matias Loukojärvi, Ananth Mahadevan, Katsiaryna Haitsiukevich, Kai Puolamäki
2025	B	`ed.`	Advances in Intelligent Data Analysis XXIII - 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7-9, 2025, Proceedings IDA Georg Krempl, Kai Puolamäki, Ioanna Miliou
2025	J	`jnl`	ExplainReduce: Summarising local explanations via proxies. CoRR Lauri Seppäläinen, Mudong Guo, Kai Puolamäki
2025	J	`jnl`	Fast and Interpretable Machine Learning Modelling of Atmospheric Molecular Clusters. CoRR Lauri Seppäläinen, Jakub Kubecka, Jonas Elm, Kai Puolamäki
2025	A	`conf`	GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling. ECAI Arash Jamshidi, Lauri Seppäläinen, Katsiaryna Haitsiukevich, Hoang Phuc Hau Luu, Anton Björklund, Kai Puolamäki
2025	J	`jnl`	GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling. CoRR Arash Jamshidi, Lauri Seppäläinen, Katsiaryna Haitsiukevich, Hoang Phuc Hau Luu, Anton Björklund, Kai Puolamäki
2024	A	`conf`	Error bounds for any regression model using Gaussian processes with gradient information. AISTATS Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki
2024	—	`conf`	Fast and Understandable Nonlinear Supervised Dimensionality Reduction. DS (1) Anri Patron, Rafael Savvides, Lauri Franzon, Hoang Phuc Hau Luu, Kai Puolamäki
2024	J	`jnl`	Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction. CoRR Anri Patron, Ayush Prasad, Hoang Phuc Hau Luu, Kai Puolamäki
2024	—	`ed.`	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 ECML/PKDD (8) Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite
2024	A*	`conf`	Non-geodesically-convex optimization in the Wasserstein space. NeurIPS Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
2024	J	`jnl`	Non-geodesically-convex optimization in the Wasserstein space. CoRR Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
2024	—	`conf`	SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI. IDA (2) Anton Björklund, Lauri Seppäläinen, Kai Puolamäki
2023	J	`jnl`	Explaining any black box model using real data. Frontiers Comput. Sci. Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki
2023	J	`jnl`	Model selection with bootstrap validation. Stat. Anal. Data Min. Rafael Savvides, Jarmo Mäkelä, Kai Puolamäki
2023	J	`jnl`	SLISEMAP: supervised dimensionality reduction through local explanations. Mach. Learn. Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
2023	J	`jnl`	Using Slisemap to interpret physical data. CoRR Lauri Seppäläinen, Anton Björklund, Vitus Besel, Kai Puolamäki
2023	J	`jnl`	Visual Data Exploration as a Statistical Testing Procedure: Within-View and Between-View Multiple Comparisons. IEEE Trans. Vis. Comput. Graph. Rafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
2023	—	`conf`	χiplot: Web-First Visualisation Platform for Multidimensional Data. ECML/PKDD (7) Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
2023	J	`jnl`	χiplot: web-first visualisation platform for multidimensional data. CoRR Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
2022	J	`jnl`	Robust regression via error tolerance. Data Min. Knowl. Discov. Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki
2022	—	`conf`	SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations. ECML/PKDD (6) Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
2022	J	`jnl`	SLISEMAP: Explainable Dimensionality Reduction. CoRR Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
2021	J	`jnl`	Detecting virtual concept drift of regressors without ground truth values. Data Min. Knowl. Discov. Emilia Oikarinen, Henri Tiittanen, Andreas Henelius, Kai Puolamäki
2021	J	`jnl`	Guided Visual Exploration of Relations in Data Sets. J. Mach. Learn. Res. Kai Puolamäki, Emilia Oikarinen, Andreas Henelius
2021	—	`conf`	Interactive Causal Structure Discovery in Earth System Sciences. CD@KDD Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki
2021	J	`jnl`	Interactive Causal Structure Discovery in Earth System Sciences. CoRR Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki
2021	J	`jnl`	Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration: A Survey and Critical Analysis. ACM Trans. Sens. Networks Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Xiaoli Liu, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma
2020	J	`jnl`	A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback. IEEE Trans. Knowl. Data Eng. Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
2020	J	`jnl`	Interactive visual data exploration with subjective feedback: an information-theoretic approach. Data Min. Knowl. Discov. Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
2020	J	`jnl`	Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining. CoRR Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila
2019	J	`jnl`	A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration. CoRR Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma
2019	—	`conf`	Cognitive ergonomics for data analysis. ECCE Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, Kai Puolamäki
2019	J	`jnl`	Cognitive ergonomics for data analysis. Experimental study of cognitive limitations in a data-based judgement task. Behav. Inf. Technol. Virpi Kalakoski, Andreas Henelius, Emilia Oikarinen, Antti Ukkonen, Kai Puolamäki
2019	J	`jnl`	Estimating regression errors without ground truth values. CoRR Henri Tiittanen, Emilia Oikarinen, Andreas Henelius, Kai Puolamäki
2019	J	`jnl`	Guided Visual Exploration of Relations in Data Sets. CoRR Kai Puolamäki, Emilia Oikarinen, Andreas Henelius
2019	A*	`conf`	Significance of Patterns in Data Visualisations. KDD Rafael Savvides, Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
2019	B	`conf`	Sparse Robust Regression for Explaining Classifiers. DS Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki
2019	—	`conf`	Supervised Human-Guided Data Exploration. PKDD/ECML Workshops (1) Emilia Oikarinen, Kai Puolamäki, Samaneh Khoshrou, Mykola Pechenizkiy
2018	J	`jnl`	Human-Guided Data Exploration. CoRR Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
2018	J	`jnl`	Human-guided data exploration using randomisation. CoRR Kai Puolamäki, Emilia Oikarinen, Buse Gul Atli, Andreas Henelius
2018	A*	`conf`	Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. ICDE Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
2018	J	`jnl`	Randomisation Algorithms for Large Sparse Matrices. CoRR Kai Puolamäki, Andreas Henelius, Antti Ukkonen
2018	A*	`conf`	Subjectively Interesting Subgroup Discovery on Real-Valued Targets. ICDE Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
2018	—	`conf`	Tiler: Software for Human-Guided Data Exploration. ECML/PKDD (3) Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
2017	J	`jnl`	Inferring Intent and Action from Gaze in Naturalistic Behavior: A Review. Int. J. Mob. Hum. Comput. Interact. Kristian Lukander, Miika Toivanen, Kai Puolamäki
2017	J	`jnl`	Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. CoRR Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
2017	J	`jnl`	Interpreting Classifiers through Attribute Interactions in Datasets. CoRR Andreas Henelius, Kai Puolamäki, Antti Ukkonen
2017	A	`conf`	Minimum-Width Confidence Bands via Constraint Optimization. CP Jeremias Berg, Emilia Oikarinen, Matti Järvisalo, Kai Puolamäki
2017	A	`conf`	Multivariate Confidence Intervals. SDM Jussi Korpela, Emilia Oikarinen, Kai Puolamäki, Antti Ukkonen
2017	J	`jnl`	Subjectively Interesting Subgroup Discovery on Real-valued Targets. CoRR Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
2016	—	`conf`	A Tool for Subjective and Interactive Visual Data Exploration. ECML/PKDD (3) Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
2016	J	`jnl`	Clustering with Confidence: Finding Clusters with Statistical Guarantees. CoRR Andreas Henelius, Kai Puolamäki, Henrik Boström, Panagiotis Papapetrou
2016	J	`jnl`	Finding Statistically Significant Attribute Interactions. CoRR Andreas Henelius, Antti Ukkonen, Kai Puolamäki
2016	—	`conf`	Inferring user action with mobile gaze tracking. MobileHCI Adjunct Miika Toivanen, Kai Puolamäki, Kristian Lukander, Jukka Häkkinen, Jenni Radun
2016	—	`conf`	Interactive Visual Data Exploration with Subjective Feedback. ECML/PKDD (2) Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie
2016	—	`conf`	Semigeometric Tiling of Event Sequences. ECML/PKDD (1) Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki
2016	J	`jnl`	Significance testing of word frequencies in corpora. Digit. Scholarsh. Humanit. Jefrey Lijffijt, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila
2016	J	`jnl`	Using regression makes extraction of shared variation in multiple datasets easy. Data Min. Knowl. Discov. Jussi Korpela, Andreas Henelius, Lauri Ahonen, Arto Klami, Kai Puolamäki
2015	—	`conf`	GoldenEye++: A Closer Look into the Black Box. SLDS Andreas Henelius, Kai Puolamäki, Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, Panagiotis Papapetrou
2015	J	`jnl`	Size matters: choosing the most informative set of window lengths for mining patterns in event sequences. Data Min. Knowl. Discov. Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki
2014	J	`jnl`	A peek into the black box: exploring classifiers by randomization. Data Min. Knowl. Discov. Andreas Henelius, Kai Puolamäki, Henrik Boström, Lars Asker, Panagiotis Papapetrou
2014	J	`jnl`	A statistical significance testing approach to mining the most informative set of patterns. Data Min. Knowl. Discov. Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki
2014	J	`jnl`	Confidence bands for time series data. Data Min. Knowl. Discov. Jussi Korpela, Kai Puolamäki, Aristides Gionis
2013	—	`conf`	Explaining Interval Sequences by Randomization. ECML/PKDD (1) Andreas Henelius, Jussi Korpela, Kai Puolamäki
2013	J	`jnl`	Sound sample detection and numerosity estimation using auditory display. ACM Trans. Appl. Percept. Hannes Gamper, Christina Dicke, Mark Billinghurst, Kai Puolamäki
2012	—	`conf`	Size Matters: Finding the Most Informative Set of Window Lengths. ECML/PKDD (2) Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki
2012	J	`jnl`	Two-Way Latent Grouping Model for User Preference Prediction CoRR Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski
2011	J	`jnl`	An augmented reality interface to contextual information. Virtual Real. Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen
2011	—	`conf`	Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. ECML/PKDD (2) Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila
2010	—	`conf`	Visually Controllable Data Mining Methods. ICDM Workshops Kai Puolamäki, Panagiotis Papapetrou, Jefrey Lijffijt
2009	J	`jnl`	A randomized approximation algorithm for computing bucket orders. Inf. Process. Lett. Antti Ukkonen, Kai Puolamäki, Aristides Gionis, Heikki Mannila
2009	B	`conf`	Bayesian Solutions to the Label Switching Problem. IDA Kai Puolamäki, Samuel Kaski
2009	J	`jnl`	Can eyes reveal interest? Implicit queries from gaze patterns. User Model. User Adapt. Interact. Antti Ajanki, David R. Hardoon, Samuel Kaski, Kai Puolamäki, John Shawe-Taylor
2009	J	`jnl`	Introduction to the special issue on visual analytics and knowledge discovery. SIGKDD Explor. Kai Puolamäki, Alessio Bertone
2009	J	`jnl`	Latent grouping models for user preference prediction. Mach. Learn. Eerika Savia, Kai Puolamäki, Samuel Kaski
2009	—	`ed.`	Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, Paris, France, June 28, 2009 KDD Workshop on Visual Analytics and Knowledge Discovery Kai Puolamäki, Heikki Mannila, Alessio Bertone, Silvia Miksch
2009	A	`conf`	Randomization Techniques for Graphs. SDM Sami Hanhijärvi, Gemma C. Garriga, Kai Puolamäki
2009	A*	`conf`	Tell me something I don't know: randomization strategies for iterative data mining. KDD Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila
2009	B	`conf`	Two-Way Grouping by One-Way Topic Models. IDA Eerika Savia, Kai Puolamäki, Samuel Kaski
2008	J	`jnl`	An approximation ratio for biclustering. Inf. Process. Lett. Kai Puolamäki, Sami Hanhijärvi, Gemma C. Garriga
2008	A*	`conf`	Learning to learn implicit queries from gaze patterns. ICML Kai Puolamäki, Antti Ajanki, Samuel Kaski
2007	J	`jnl`	An Approximation Ratio for Biclustering CoRR Kai Puolamäki, Sami Hanhijärvi, Gemma C. Garriga
2007	A	`conf`	Information Retrieval by Inferring Implicit Queries from Eye Movements. AISTATS David R. Hardoon, John Shawe-Taylor, Antti Ajanki, Kai Puolamäki, Samuel Kaski
2006	A*	`conf`	Algorithms for discovering bucket orders from data. KDD Aristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen
2006	J	`jnl`	Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods. PLoS Comput. Biol. Kai Puolamäki, Mikael Fortelius, Heikki Mannila
2005	A*	`conf`	Combining eye movements and collaborative filtering for proactive information retrieval. SIGIR Kai Puolamäki, Jarkko Salojärvi, Eerika Savia, Jaana Simola, Samuel Kaski
2005	A*	`conf`	Expectation maximization algorithms for conditional likelihoods. ICML Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
2005	—	`conf`	Implicit Relevance Feedback from Eye Movements. ICANN (1) Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
2005	—	`conf`	On Discriminative Joint Density Modeling. ECML Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
2005	A	`conf`	Two-Way Latent Grouping Model for User Preference Prediction. UAI Eerika Savia, Kai Puolamäki, Janne Sinkkonen, Samuel Kaski