http://dblp.uni-trier.de/db/journals/ijon/ CCF推荐的C类期刊,2017年中科院分区为大类一区,小类二区。 对于该期刊给出一些网友给出的数据: 平均审稿速度网友分享经验:平均5.7个月 来源Elsevier官网:平均15.5周 在线出版周期来源Elsevier官网:平均21周 平均录用比例网友分享经验:80% 2016-2017 ...
http://dblp.uni-trier.de/db/journals/coling/ 4 CVIU Computer Vision and Image Understanding Elsevier http://dblp.uni-trier.de/db/journals/cviu/ 5 DKE Data and Knowledge Engineering Elsevier http://dblp.uni-trier.de/db/journals/dke/index.html 6 Evolutionary Computation MIT Press http://dblp...
Machine learning is a research area of artificial intelligence that enables computers to learn and improve from large datasets without being explicitly programmed. It involves creating algorithms that can analyze patterns in data and generate models for specific tasks, allowing for accurate predictions and...
In the SCImago Journal & Country Rank all the information that we have available of the journals is shown. Therefore, if you didn´t localize the journal in the search engine, it means that Scopus / Elsevier has not provided us with the corresponding data or that the journal you are ...
Machine Learning Theory refers to the understanding of what is necessary for successful and efficient learning in the field of artificial intelligence. It involves developing models that can learn from experience and make predictions based on relationships between variables, often leading to breakthroughs ...
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), intell...
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
9| Elsevier Information Sciences About:The journal Information Sciences is designed to help researchers, developers, and anyone interested in state-of-the-art research activities in information, knowledge engineering and intelligent systems. The articles cover topics such as information theory, mathematical...
In simple terms, machine learning algorithms refer to computational techniques that can find a way to connect a set of inputs to a desired set of outputs by learning relevant data. From: Deep Learning Models for Medical Imaging, 2022
This paper investigates the state-of-the-art applications that integrate machine learning and mixed reality into the aviation industry. Smart aerospace engineering design, manufacturing, testing, and services are being explored to increase operator productivity. Autonomous systems, self-service systems, ...