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Kai Puolamäki

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Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction

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May 14, 2024
Anri Patron, Ayush Prasad, Hoang Phuc Hau Luu, Kai Puolamäki

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Using Slisemap to interpret physical data

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Oct 24, 2023
Lauri Seppäläinen, Anton Björklund, Vitus Besel, Kai Puolamäki

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SLISEMAP: Explainable Dimensionality Reduction

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Jan 12, 2022
Anton Björklund, Jarmo Mäkelä, Kai Puolamäki

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Interactive Causal Structure Discovery in Earth System Sciences

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Jul 01, 2021
Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki

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Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining

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Jun 16, 2020
Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila

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Low-Cost Outdoor Air Quality Monitoring and In-Field Sensor Calibration

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Feb 05, 2020
Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma

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Estimating regression errors without ground truth values

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Oct 09, 2019
Henri Tiittanen, Emilia Oikarinen, Andreas Henelius, Kai Puolamäki

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Guided Visual Exploration of Relations in Data Sets

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May 07, 2019
Kai Puolamäki, Emilia Oikarinen, Andreas Henelius

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Human-guided data exploration using randomisation

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May 20, 2018
Kai Puolamäki, Emilia Oikarinen, Buse Gul Atli, Andreas Henelius

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Human-Guided Data Exploration

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Apr 09, 2018
Andreas Henelius, Emilia Oikarinen, Kai Puolamäki

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