The Random forest studies presented in the published papers fall under the field of Machine learning, but they also have connections to other fields such as Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). What topics the last edition of the journal is best known for? Artificial ...
The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric. Cites per documentYearValue ...
2024-12-05 Location: Hanoi, Vietnam Years: 16 CCF:cCORE:bViewed:95373Tracked:299Attend:64 Call For Papers Topics of interest include but are not limited to: General machine learning methodologies Active learning Bayesian machine learning Dimensionality reduction Feature selection Graphical models Imitat...
Metrics based on Scopus® data as of March 2024PPaul 1 year ago Does SJR have any plans to add JMLR's sister journal, Transactions on Machine Learning Research (Available here: https://jmlr.org/tmlr/) as an entry on your site? I would be curious to see what their metrics are. ...
机器学习研究杂志(Journal Of Machine Learning Research)是一本由Microtome Publishing出版的一本工程技术-计算机:人工智能学术刊物,主要报道工程技术-计算机:人工智能相关领域研究成果与实践。本刊已入选来源期刊,该刊创刊于2001年,出版周期Bimonthly。2021-2022年最新版WOS分区等级:Q1,2023年发布的影响因子为4.3,CiteScor...
Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization. Claire N. Bedbrook, Kevin K. Yang, Austin J. Rice, Viviana Gradinaru, Frances H. Arnold. PLOS Computational Biology, October 2017. [10.1371/journal.pcbi.1005786] Explorin...
To make sense of the exploding diversity of machine learning approaches, we introduce a unifying framework that classifies models on the basis of their use of three core data modalities: sequences, structures and functional labels. We discuss the new capabilities and outstanding challenges for the ...
Experimental approaches to study tissue specificity enable insight into the nature and organization of the cell types and tissues that constitute complex multicellular organisms. Machine learning provides a powerful tool to investigate and interpret tiss
Machine Learning with Applications(MLWA) is a peer reviewed, open access journal focused on research related tomachine learning. The journal encompasses all aspects of research and development in ML, including but not limited to data mining, computer vision, natural language processing (NLP), … ...
EPMA Journal (2024) A stacking ensemble machine learning model to predict alpha-1 antitrypsin deficiency-associated liver disease clinical outcomes based on UK Biobank data Linxi Meng Will Treem Jingjing Chen Scientific Reports (2022)Download PDF Sections Figures References Abstract Introduction Metho...