On Discriminative Joint Density Modeling. - Jarkko Salojärvi; Kai Puolamäki; Samuel Kaski (ECML, 2005)

Implicit Relevance Feedback from Eye Movements. - Jarkko Salojärvi; Kai Puolamäki; Samuel Kaski (ICANN (1), 2005)

Expectation maximization algorithms for conditional likelihoods. - Jarkko Salojärvi; Kai Puolamäki; Samuel Kaski (ICML, 2005)

Combining eye movements and collaborative filtering for proactive information retrieval. - Kai Puolamäki; Jarkko Salojärvi; Eerika Savia; Jaana Simola; Samuel Kaski (SIGIR, 2005)

Two-Way Latent Grouping Model for User Preference Prediction. - Eerika Savia; Kai Puolamäki; Janne Sinkkonen; Samuel Kaski (UAI, 2005)

Algorithms for discovering bucket orders from data. - Aristides Gionis; Heikki Mannila; Kai Puolamäki; Antti Ukkonen (KDD, 2006)

Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods. - Kai Puolamäki; Mikael Fortelius; Heikki Mannila (PLoS Comput. Biol., 2006)

Information Retrieval by Inferring Implicit Queries from Eye Movements. - David R. Hardoon; John Shawe-Taylor; Antti Ajanki; Kai Puolamäki; Samuel Kaski (AISTATS, 2007)

Learning to learn implicit queries from gaze patterns. - Kai Puolamäki; Antti Ajanki; Samuel Kaski (ICML, 2008)

An approximation ratio for biclustering. - Kai Puolamäki; Sami Hanhijärvi; Gemma C. Garriga (Inf. Process. Lett., 2008)

Bayesian Solutions to the Label Switching Problem. - Kai Puolamäki; Samuel Kaski (IDA, 2009)

Two-Way Grouping by One-Way Topic Models. - Eerika Savia; Kai Puolamäki; Samuel Kaski (IDA, 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 (KDD, 2009)

Randomization Techniques for Graphs. - Sami Hanhijärvi; Gemma C. Garriga; Kai Puolamäki (SDM, 2009)

A randomized approximation algorithm for computing bucket orders. - Antti Ukkonen; Kai Puolamäki; Aristides Gionis; Heikki Mannila (Inf. Process. Lett., 2009)

Latent grouping models for user preference prediction. - Eerika Savia; Kai Puolamäki; Samuel Kaski (Mach. Learn., 2009)

Introduction to the special issue on visual analytics and knowledge discovery. - Kai Puolamäki; Alessio Bertone (SIGKDD Explor., 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)

Visually Controllable Data Mining Methods. - Kai Puolamäki; Panagiotis Papapetrou; Jefrey Lijffijt (ICDM Workshops, 2010)

Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. - Jefrey Lijffijt; Panagiotis Papapetrou; Kai Puolamäki; Heikki Mannila (ECML/PKDD (2), 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)

Size Matters: Finding the Most Informative Set of Window Lengths. - Jefrey Lijffijt; Panagiotis Papapetrou; Kai Puolamäki (ECML/PKDD (2), 2012)

Explaining Interval Sequences by Randomization. - Andreas Henelius; Jussi Korpela; Kai Puolamäki (ECML/PKDD (1), 2013)

Sound sample detection and numerosity estimation using auditory display. - Hannes Gamper; Christina Dicke; Mark Billinghurst; Kai Puolamäki (ACM Trans. Appl. Percept., 2013)

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)

Confidence bands for time series data. - Jussi Korpela; Kai Puolamäki; Aristides Gionis (Data Min. Knowl. Discov., 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)

GoldenEye++: A Closer Look into the Black Box. - Andreas Henelius; Kai Puolamäki; Isak Karlsson; Jing Zhao 017; Lars Asker; Henrik Boström; Panagiotis Papapetrou (SLDS, 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)

Inferring user action with mobile gaze tracking. - Miika Toivanen; Kai Puolamäki; Kristian Lukander; Jukka Häkkinen; Jenni Radun (MobileHCI Adjunct, 2016)

Semigeometric Tiling of Event Sequences. - Andreas Henelius; Isak Karlsson; Panagiotis Papapetrou; Antti Ukkonen; Kai Puolamäki (ECML/PKDD (1), 2016)

A Tool for Subjective and Interactive Visual Data Exploration. - Bo Kang; Kai Puolamäki; Jefrey Lijffijt; Tijl De Bie (ECML/PKDD (3), 2016)

Interactive Visual Data Exploration with Subjective Feedback. - Kai Puolamäki; Bo Kang; Jefrey Lijffijt; Tijl De Bie (ECML/PKDD (2), 2016)

Clustering with Confidence: Finding Clusters with Statistical Guarantees. - Andreas Henelius; Kai Puolamäki; Henrik Boström; Panagiotis Papapetrou (CoRR, 2016)

Finding Statistically Significant Attribute Interactions. - Andreas Henelius; Antti Ukkonen; Kai Puolamäki (CoRR, 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)

Significance testing of word frequencies in corpora. - Jefrey Lijffijt; Terttu Nevalainen; Tanja Säily; Panagiotis Papapetrou; Kai Puolamäki; Heikki Mannila (Digit. Scholarsh. Humanit., 2016)

Minimum-Width Confidence Bands via Constraint Optimization. - Jeremias Berg; Emilia Oikarinen; Matti Järvisalo; Kai Puolamäki (CP, 2017)

Multivariate Confidence Intervals. - Jussi Korpela; Emilia Oikarinen; Kai Puolamäki; Antti Ukkonen (SDM, 2017)

Interpreting Classifiers through Attribute Interactions in Datasets. - Andreas Henelius; Kai Puolamäki; Antti Ukkonen (CoRR, 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)

Subjectively Interesting Subgroup Discovery on Real-Valued Targets. - Jefrey Lijffijt; Bo Kang; Wouter Duivesteijn; Kai Puolamäki; Emilia Oikarinen; Tijl De Bie (ICDE, 2018)

Tiler: Software for Human-Guided Data Exploration. - Andreas Henelius; Emilia Oikarinen; Kai Puolamäki (ECML/PKDD (3), 2018)

Human-Guided Data Exploration. - Andreas Henelius; Emilia Oikarinen; Kai Puolamäki (CoRR, 2018)

Human-guided data exploration using randomisation. - Kai Puolamäki; Emilia Oikarinen; Buse Gul Atli; Andreas Henelius (CoRR, 2018)

Randomisation Algorithms for Large Sparse Matrices. - Kai Puolamäki; Andreas Henelius; Antti Ukkonen (CoRR, 2018)

Sparse Robust Regression for Explaining Classifiers. - Anton Björklund; Andreas Henelius; Emilia Oikarinen; Kimmo Kallonen; Kai Puolamäki (DS, 2019)

Cognitive ergonomics for data analysis. - Virpi Kalakoski; Andreas Henelius; Emilia Oikarinen; Antti Ukkonen; Kai Puolamäki (ECCE, 2019)

Significance of Patterns in Data Visualisations. - Rafael Savvides; Andreas Henelius; Emilia Oikarinen; Kai Puolamäki (KDD, 2019)

Supervised Human-Guided Data Exploration. - Emilia Oikarinen; Kai Puolamäki; Samaneh Khoshrou; Mykola Pechenizkiy (PKDD/ECML Workshops (1), 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)

Estimating regression errors without ground truth values. - Henri Tiittanen; Emilia Oikarinen; Andreas Henelius; Kai Puolamäki (CoRR, 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)

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)

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 Causal Structure Discovery in Earth System Sciences. - Laila Melkas; Rafael Savvides; Suyog Chandramouli; Jarmo Mäkelä; Tuomo Nieminen; Ivan Mammarella; Kai Puolamäki (CD@KDD, 2021)

Detecting virtual concept drift of regressors without ground truth values. - Emilia Oikarinen; Henri Tiittanen; Andreas Henelius; Kai Puolamäki (Data Min. Knowl. Discov., 2021)

Guided Visual Exploration of Relations in Data Sets. - Kai Puolamäki; Emilia Oikarinen; Andreas Henelius (J. Mach. Learn. Res., 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 005; Kai Puolamäki; Petteri Nurmi; Sasu Tarkoma (ACM Trans. Sens. Networks, 2021)

SLISEMAP: Combining Supervised Dimensionality Reduction with Local Explanations. - Anton Björklund; Jarmo Mäkelä; Kai Puolamäki (ECML/PKDD (6), 2022)

SLISEMAP: Explainable Dimensionality Reduction. - Anton Björklund; Jarmo Mäkelä; Kai Puolamäki (CoRR, 2022)

Robust regression via error tolerance. - Anton Björklund; Andreas Henelius; Emilia Oikarinen; Kimmo Kallonen; Kai Puolamäki (Data Min. Knowl. Discov., 2022)

χiplot: Web-First Visualisation Platform for Multidimensional Data. - Akihiro Tanaka; Juniper Tyree; Anton Björklund; Jarmo Mäkelä; Kai Puolamäki (ECML/PKDD (7), 2023)

Using Slisemap to interpret physical data. - Lauri Seppäläinen; Anton Björklund; Vitus Besel; Kai Puolamäki (CoRR, 2023)

Explaining any black box model using real data. - Anton Björklund; Andreas Henelius; Emilia Oikarinen; Kimmo Kallonen; Kai Puolamäki (Frontiers Comput. Sci., 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)

SLISEMAP: supervised dimensionality reduction through local explanations. - Anton Björklund; Jarmo Mäkelä; Kai Puolamäki (Mach. Learn., 2023)

Model selection with bootstrap validation. - Rafael Savvides; Jarmo Mäkelä; Kai Puolamäki (Stat. Anal. Data Min., 2023)

Error bounds for any regression model using Gaussian processes with gradient information. - Rafael Savvides; Hoang Phuc Hau Luu; Kai Puolamäki (AISTATS, 2024)

Fast and Understandable Nonlinear Supervised Dimensionality Reduction. - Anri Patron; Rafael Savvides; Lauri Franzon; Hoang Phuc Hau Luu; Kai Puolamäki (DS (1), 2024)

SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI. - Anton Björklund; Lauri Seppäläinen; Kai Puolamäki (IDA (2), 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 (NeurIPS, 2024)

Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction. - Anri Patron; Ayush Prasad; Hoang Phuc Hau Luu; Kai Puolamäki (CoRR, 2024)

ExplainReduce: Summarising local explanations via proxies. - Lauri Seppäläinen; Mudong Guo; Kai Puolamäki (CoRR, 2025)