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Akira Matsui
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Word Embedding for Social Sciences: An Interdisciplinary Survey


Jul 07, 2022
Akira Matsui, Emilio Ferrara

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Extracting Fast and Slow: User-Action Embedding with Inter-temporal Information


Jun 20, 2022
Akira Matsui, Emilio Ferrara

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A Real-World Implementation of Unbiased Lift-based Bidding System


Feb 23, 2022
Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata

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* 2021 IEEE International Conference on Big Data (Big Data) 
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Online-to-Offline Advertisements as Field Experiments


Oct 21, 2020
Akira Matsui, Daisuke Moriwaki

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* 19 pages, 9 figures 
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Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms


Sep 04, 2020
Akira Matsui, Emilio Ferrara, Fred Morstatter, Andres Abeliuk, Aram Galstyan

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* 12 pages, 8 figures 
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Unbiased Lift-based Bidding System


Jul 09, 2020
Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui

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Detecting multi-timescale consumption patterns from receipt data: A non-negative tensor factorization approach


Apr 28, 2020
Akira Matsui, Teruyoshi Kobayashi, Daisuke Moriwaki, Emilio Ferrara

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* 16 pages, 10 figures 
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