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data-tooltip="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Oono%2C+K">Kenta Oono</a>, <a href="/search/cs?searchtype=author&query=Charoenphakdee%2C+N">Nontawat Charoenphakdee</a>, <a href="/search/cs?searchtype=author&query=Bito%2C+K">Kotatsu Bito</a>, <a href="/search/cs?searchtype=author&query=Gao%2C+Z">Zhengyan Gao</a>, <a href="/search/cs?searchtype=author&query=Igata%2C+H">Hideyoshi Igata</a>, <a href="/search/cs?searchtype=author&query=Yoshikawa%2C+M">Masashi Yoshikawa</a>, <a href="/search/cs?searchtype=author&query=Ota%2C+Y">Yoshiaki Ota</a>, <a href="/search/cs?searchtype=author&query=Okui%2C+H">Hiroki Okui</a>, <a href="/search/cs?searchtype=author&query=Akita%2C+K">Kei Akita</a>, <a href="/search/cs?searchtype=author&query=Yamaguchi%2C+S">Shoichiro Yamaguchi</a>, <a href="/search/cs?searchtype=author&query=Sugawara%2C+Y">Yohei Sugawara</a>, <a href="/search/cs?searchtype=author&query=Maeda%2C+S">Shin-ichi Maeda</a>, <a href="/search/cs?searchtype=author&query=Miyoshi%2C+K">Kunihiko Miyoshi</a>, <a href="/search/cs?searchtype=author&query=Saito%2C+Y">Yuki Saito</a>, <a href="/search/cs?searchtype=author&query=Tsuda%2C+K">Koki Tsuda</a>, <a href="/search/cs?searchtype=author&query=Maruyama%2C+H">Hiroshi Maruyama</a>, <a href="/search/cs?searchtype=author&query=Hayashi%2C+K">Kohei Hayashi</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2306.10656v3-abstract-short" style="display: inline;"> Identifying the relationship between healthcare attributes, lifestyles, and personality is vital for understanding and improving physical and mental well-being. Machine learning approaches are promising for modeling their relationships and offering actionable suggestions. In this paper, we propose Virtual Human Generative Model (VHGM), a machine learning model for estimating healthcare, lifestyles… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2306.10656v3-abstract-full').style.display = 'inline'; document.getElementById('2306.10656v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2306.10656v3-abstract-full" style="display: none;"> Identifying the relationship between healthcare attributes, lifestyles, and personality is vital for understanding and improving physical and mental well-being. Machine learning approaches are promising for modeling their relationships and offering actionable suggestions. In this paper, we propose Virtual Human Generative Model (VHGM), a machine learning model for estimating healthcare, lifestyles, and personality attributes. VHGM is a deep generative model trained with masked modeling to learn the joint distribution of attributes conditioned on known ones. Using heterogeneous tabular datasets, VHGM learns more than 2,000 attributes efficiently. We numerically evaluate the performance of VHGM and its training techniques and have deployed VHGM as a Web service, enabling various healthcare applications. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2306.10656v3-abstract-full').style.display = 'none'; document.getElementById('2306.10656v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 18 June, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">19 pages, 4 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2006.05573">arXiv:2006.05573</a> <span> [<a href="https://arxiv.org/pdf/2006.05573">pdf</a>, <a href="https://arxiv.org/format/2006.05573">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Social and Information Networks">cs.SI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Physics and Society">physics.soc-ph</span> </div> </div> <p class="title is-5 mathjax"> Global Data Science Project for COVID-19 </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Suzumura%2C+T">Toyotaro Suzumura</a>, <a href="/search/cs?searchtype=author&query=Garcia-Gasulla%2C+D">Dario Garcia-Gasulla</a>, <a href="/search/cs?searchtype=author&query=Napagao%2C+S+A">Sergio Alvarez Napagao</a>, <a href="/search/cs?searchtype=author&query=Li%2C+I">Irene Li</a>, <a href="/search/cs?searchtype=author&query=Maruyama%2C+H">Hiroshi Maruyama</a>, <a href="/search/cs?searchtype=author&query=Kanezashi%2C+H">Hiroki Kanezashi</a>, <a href="/search/cs?searchtype=author&query=P%27erez-Arnal%2C+R">Raquel P'erez-Arnal</a>, <a href="/search/cs?searchtype=author&query=Miyoshi%2C+K">Kunihiko Miyoshi</a>, <a href="/search/cs?searchtype=author&query=Ishii%2C+E">Euma Ishii</a>, <a href="/search/cs?searchtype=author&query=Suzuki%2C+K">Keita Suzuki</a>, <a href="/search/cs?searchtype=author&query=Shiba%2C+S">Sayaka Shiba</a>, <a href="/search/cs?searchtype=author&query=Kurokawa%2C+M">Mariko Kurokawa</a>, <a href="/search/cs?searchtype=author&query=Kanzawa%2C+Y">Yuta Kanzawa</a>, <a href="/search/cs?searchtype=author&query=Nakagawa%2C+N">Naomi Nakagawa</a>, <a href="/search/cs?searchtype=author&query=Hanai%2C+M">Masatoshi Hanai</a>, <a href="/search/cs?searchtype=author&query=Li%2C+Y">Yixin Li</a>, <a href="/search/cs?searchtype=author&query=Li%2C+T">Tianxiao Li</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2006.05573v2-abstract-short" style="display: inline;"> This paper aims at providing the summary of the Global Data Science Project (GDSC) for COVID-19. as on May 31 2020. COVID-19 has largely impacted on our societies through both direct and indirect effects transmitted by the policy measures to counter the spread of viruses. We quantitatively analysed the multifaceted impacts of the COVID-19 pandemic on our societies including people's mobility, heal… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2006.05573v2-abstract-full').style.display = 'inline'; document.getElementById('2006.05573v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2006.05573v2-abstract-full" style="display: none;"> This paper aims at providing the summary of the Global Data Science Project (GDSC) for COVID-19. as on May 31 2020. COVID-19 has largely impacted on our societies through both direct and indirect effects transmitted by the policy measures to counter the spread of viruses. We quantitatively analysed the multifaceted impacts of the COVID-19 pandemic on our societies including people's mobility, health, and social behaviour changes. People's mobility has changed significantly due to the implementation of travel restriction and quarantine measurements. Indeed, the physical distance has widened at international (cross-border), national and regional level. At international level, due to the travel restrictions, the number of international flights has plunged overall at around 88 percent during March. In particular, the number of flights connecting Europe dropped drastically in mid of March after the United States announced travel restrictions to Europe and the EU and participating countries agreed to close borders, at 84 percent decline compared to March 10th. Similarly, we examined the impacts of quarantine measures in the major city: Tokyo (Japan), New York City (the United States), and Barcelona (Spain). Within all three cities, we found the significant decline in traffic volume. We also identified the increased concern for mental health through the analysis of posts on social networking services such as Twitter and Instagram. Notably, in the beginning of April 2020, the number of post with #depression on Instagram doubled, which might reflect the rise in mental health awareness among Instagram users. Besides, we identified the changes in a wide range of people's social behaviors, as well as economic impacts through the analysis of Instagram data and primary survey data. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2006.05573v2-abstract-full').style.display = 'none'; document.getElementById('2006.05573v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 August, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 9 June, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">42 pages, 49 figures</span> </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" 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