Comparison with other algorithms on a regression task.
<p>Comparison with other algorithms on a regression task.</p>
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2025
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| _version_ | 1852015121938776064 |
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| author | Hiroshi Maruyama (2531797) |
| author2 | Kotatsu Bito (548095) Yuki Saito (230959) Masanobu Hibi (22566954) Shun Katada (281586) Aya Kawakami (22566957) Kenta Oono (19775604) Nontawat Charoenphakdee (12472045) Zhengyan Gao (22566960) Hideyoshi Igata (22566963) Masashi Yoshikawa (4746438) Yoshiaki Ota (19644619) Hiroki Okui (3048684) Kei Akita (22566966) Shoichiro Yamaguchi (5166356) Yohei Sugawara (22566969) Shin-ichi Maeda (3530615) |
| author2_role | author author author author author author author author author author author author author author author author |
| author_facet | Hiroshi Maruyama (2531797) Kotatsu Bito (548095) Yuki Saito (230959) Masanobu Hibi (22566954) Shun Katada (281586) Aya Kawakami (22566957) Kenta Oono (19775604) Nontawat Charoenphakdee (12472045) Zhengyan Gao (22566960) Hideyoshi Igata (22566963) Masashi Yoshikawa (4746438) Yoshiaki Ota (19644619) Hiroki Okui (3048684) Kei Akita (22566966) Shoichiro Yamaguchi (5166356) Yohei Sugawara (22566969) Shin-ichi Maeda (3530615) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hiroshi Maruyama (2531797) Kotatsu Bito (548095) Yuki Saito (230959) Masanobu Hibi (22566954) Shun Katada (281586) Aya Kawakami (22566957) Kenta Oono (19775604) Nontawat Charoenphakdee (12472045) Zhengyan Gao (22566960) Hideyoshi Igata (22566963) Masashi Yoshikawa (4746438) Yoshiaki Ota (19644619) Hiroki Okui (3048684) Kei Akita (22566966) Shoichiro Yamaguchi (5166356) Yohei Sugawara (22566969) Shin-ichi Maeda (3530615) |
| dc.date.none.fl_str_mv | 2025-11-05T18:32:59Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pdig.0001059.t010 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Comparison_with_other_algorithms_on_a_regression_task_/30544614 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Microbiology Genetics Biotechnology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> data related questionnaire responses prepare separate datasets physical performance metrics known attribute values generate synthetic datasets multiple clinical studies including univariate distributions model &# 8217 healthcare data based purpose generative model generative model encompasses unified training dataset generative model training dataset multiple real including age numerous healthcare healthcare applications healthcare application world applications various applications typically customized specific purposes privacy concerns practical utility potential impact often difficult novel approach individual applications human attributes high costs broad range blood components bivariate relationships anthropometric measurements analysis confirmed access due |
| dc.title.none.fl_str_mv | Comparison with other algorithms on a regression task. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Comparison with other algorithms on a regression task.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_89c41ac4cbab4862eab1e414fcdcbde2 |
| identifier_str_mv | 10.1371/journal.pdig.0001059.t010 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30544614 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Comparison with other algorithms on a regression task.Hiroshi Maruyama (2531797)Kotatsu Bito (548095)Yuki Saito (230959)Masanobu Hibi (22566954)Shun Katada (281586)Aya Kawakami (22566957)Kenta Oono (19775604)Nontawat Charoenphakdee (12472045)Zhengyan Gao (22566960)Hideyoshi Igata (22566963)Masashi Yoshikawa (4746438)Yoshiaki Ota (19644619)Hiroki Okui (3048684)Kei Akita (22566966)Shoichiro Yamaguchi (5166356)Yohei Sugawara (22566969)Shin-ichi Maeda (3530615)MicrobiologyGeneticsBiotechnologyScience PolicyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedxlink "> datarelated questionnaire responsesprepare separate datasetsphysical performance metricsknown attribute valuesgenerate synthetic datasetsmultiple clinical studiesincluding univariate distributionsmodel &# 8217healthcare data basedpurpose generative modelgenerative model encompassesunified training datasetgenerative modeltraining datasetmultiple realincluding agenumerous healthcarehealthcare applicationshealthcare applicationworld applicationsvarious applicationstypically customizedspecific purposesprivacy concernspractical utilitypotential impactoften difficultnovel approachindividual applicationshuman attributeshigh costsbroad rangeblood componentsbivariate relationshipsanthropometric measurementsanalysis confirmedaccess due<p>Comparison with other algorithms on a regression task.</p>2025-11-05T18:32:59ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pdig.0001059.t010https://figshare.com/articles/dataset/Comparison_with_other_algorithms_on_a_regression_task_/30544614CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/305446142025-11-05T18:32:59Z |
| spellingShingle | Comparison with other algorithms on a regression task. Hiroshi Maruyama (2531797) Microbiology Genetics Biotechnology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> data related questionnaire responses prepare separate datasets physical performance metrics known attribute values generate synthetic datasets multiple clinical studies including univariate distributions model &# 8217 healthcare data based purpose generative model generative model encompasses unified training dataset generative model training dataset multiple real including age numerous healthcare healthcare applications healthcare application world applications various applications typically customized specific purposes privacy concerns practical utility potential impact often difficult novel approach individual applications human attributes high costs broad range blood components bivariate relationships anthropometric measurements analysis confirmed access due |
| status_str | publishedVersion |
| title | Comparison with other algorithms on a regression task. |
| title_full | Comparison with other algorithms on a regression task. |
| title_fullStr | Comparison with other algorithms on a regression task. |
| title_full_unstemmed | Comparison with other algorithms on a regression task. |
| title_short | Comparison with other algorithms on a regression task. |
| title_sort | Comparison with other algorithms on a regression task. |
| topic | Microbiology Genetics Biotechnology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> data related questionnaire responses prepare separate datasets physical performance metrics known attribute values generate synthetic datasets multiple clinical studies including univariate distributions model &# 8217 healthcare data based purpose generative model generative model encompasses unified training dataset generative model training dataset multiple real including age numerous healthcare healthcare applications healthcare application world applications various applications typically customized specific purposes privacy concerns practical utility potential impact often difficult novel approach individual applications human attributes high costs broad range blood components bivariate relationships anthropometric measurements analysis confirmed access due |