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521
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522por Pattharawin Pattharanitima, Charat Thongprayoon, Tananchai Petnak, Narat Srivali, Guido Gembillo, Wisit Kaewput, Supavit Chesdachai, Saraschandra Vallabhajosyula, Oisin A. O’Corragain, Michael A. Mao, Vesna D. Garovic, Fawad Qureshi, John J. Dillon, Wisit Cheungpasitporn“... patient care. Machine learning consensus clustering may identify lactic acidosis subgroups with unique...”
Publicado 2021
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523
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524
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525
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526
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527Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learningpor Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Marina de la Cruz, César Luis Alonso, Tony Ribeiro“...Machine learning methods are growing in relevance for biometrics and personal information...”
Publicado 2021
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528por Chih-Wei Hsu, Shang-Ying Tsai, Liang-Jen Wang, Chih-Sung Liang, Andre F. Carvalho, Marco Solmi, Eduard Vieta, Pao-Yen Lin, Chien-An Hu, Hung-Yu KaoMaterias: “...machine learning...”
Publicado 2021
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529por Ken Asada, Ken Takasawa, Hidenori Machino, Satoshi Takahashi, Norio Shinkai, Amina Bolatkan, Kazuma Kobayashi, Masaaki Komatsu, Syuzo Kaneko, Koji Okamoto, Ryuji HamamotoMaterias: “...machine learning...”
Publicado 2021
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530“...The success of deep machine learning (DML) models in gaming and robotics has increased its trial...”
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531
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532
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533
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534por Michaël S. Sauthier, MD MBI, Philippe A. Jouvet, MD, PhDMBA, Margaret M. Newhams,, MPH, Adrienne G. Randolph, MD, MSc, for the Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Pediatric Intensive Care Influenza (PICFLU) Network Investigators, Michele Kong, Ronald C. Sanders, Jr, Olivia K. Irby, David Tellez, Katri Typpo, Barry Markovitz, Natalie Cvijanovich, Heidi Flori, Adam Schwarz, Nick Anas, Patrick McQuillen, Peter Mourani, John S. Giuliano, Jr., Gwenn McLaughlin, Matthew Paden, Keiko Tarquinio, Bria M. Coates, Neethi Pinto, Juliane Bubeck Wardenburg, Janice Sullivan, Vicki Montgomery, Adrienne G. Randolph, Anna A. Agan, Tanya Novak, Margaret M. Newhams, Melania Bembea, Sapna R. Kudchadkar, Stephen C. Kurachek, Mary E. Hartman, Edward J. Truemper, Sidharth Mahapatra, Sholeen Nett, Daniel L. Levin, Kate G. Ackerman, Ryan Nofziger, Steven L. Shein, Mark W. Hall, Neal Thomas, Scott L. Weiss, Julie Fitzgerald, Renee Higgerson, Laura L. Loftis, Rainer G. Gedeit“... using random forests machine learning algorithms and logistic regression. Results:. We included 258...”
Publicado 2020
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535por Tune H Pers, Anders Albrechtsen, Claus Holst, Thorkild I A Sørensen, Thomas A Gerds“...In applied statistics, tools from machine learning are popular for analyzing complex and high...”
Publicado 2009
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536
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537
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538
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539por Kathleen B. Aviso, Marc Joseph Capili, Hon Huin Chin, Yee Van Fan, Jirí Jaromír Klemeš, Raymond R. Tan“... of technologies and infrastructure with social, economic, and political factors. Machine learning (ML) techniques...”
Publicado 2021
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540“... features in complex machine learning models for complex disease analysis....”
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