维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

3篇 您的检索式：作者名="Michele Porta"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Efficacy and safety of sorafenib in patients with advanced hepatocellular carcinoma: Subanalyses of a phase III trial显示文摘	Jordi Bruix Jean-Luc Raoul Morris Sherman Vincenzo Mazzaferro Luigi Bolondi Antonio Craxi Peter R. Galle Armando Santoro Michel Beaugrand Angelo Sangiovanni Camillo Porta Guido Gerken Jorge A. Marrero Andrea Nadel Michael Shan Marius Moscovici Dimitris Vo	2012	Journal of Hepatology2012，，4：	6
	2	Effects of progressive exercise during phase I cardiac rehabilitation on the heart rate variability of patients with acute myocardial infarction显示文摘	Michele D. B. Santos-Hiss Ruth C. Melo Victor R. Neves Flávio C. Hiss Roberto M. M. Verzola Ester Silva Audrey Borghi-Silva Alberto Porta Nicola Montano Aparecida Maria Catai	2011	Disability and Rehabilitation2011，，10：	1
	3	Yield performance estimation of corn hybrids using machine learning algorithms显示文摘Estimation of yield performance for crop products is a topic of interest in agriculture.In breeding programs,we cannot test all possible hybrids created by crossing two parents(inbred and tester)since it would be too time consuming and costly.In this paper,we exploit different machine learning algorithms including decision tree,gradient boosting machine,random forest,adaptive boosting,XGBoost and neural network to predict the yield of corn hybrids using data provided in the 2020 Syngenta Crop Challenge.The participants were asked to predict the yield of missing hybrids which were not tested before.Our results show that the prediction obtained by XGBoost is more accurate than other models with a root mean square error equal to 0.0524.Therefore,we use XGBoost model to estimate the yield performance for untested combinations of inbreds and testers.Using this approach,we identify hybrids with high predicted yield that can be bred to increase corn production.	Farnaz Babaie Sarijaloo Michele Porta Bijan Taslimi Panos M.Pardalos	2021	Artificial Intelligence in Agriculture2021，，1：	0

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费