Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Chaojie Ji"'
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Due to the cost and complexity of biological experiments, many computational methods have been proposed to predict potential miRNA-disease associations by utilizing known miRNA-disease associations and other related information. However, there are so
Externí odkaz:
https://doaj.org/article/219da45e07d0401ea1b75a2e005e7fd7
Publikováno v:
Neurocomputing. 493:59-75
While graph neural networks (GNNs) have shown a great potential in various tasks on graph, the lack of transparency has hindered understanding how GNNs arrived at its predictions. Although few explainers for GNNs are explored, the consideration of lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35bf787af61336a1421dae78efacf218
https://doi.org/10.1016/j.neucom.2022.04.070
https://doi.org/10.1016/j.neucom.2022.04.070
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract It is of practical significance to provide a reference for drought mitigation and water resource enhancement planning in the Henan Province region and to analyze the spatial and temporal evolution characteristics of meteorological agricultur
Externí odkaz:
https://doaj.org/article/431085c31dd542dda6ce32c8ef519d30
Publikováno v:
Web of Science
This paper presents a practical global optimization algorithm for the K-center clustering problem, which aims to select K samples as the cluster centers to minimize the maximum within-cluster distance. This algorithm is based on a reduced-space branc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2316ec330f7f4a0db1c63f778a57cb57
Publikováno v:
Briefings in bioinformatics.
Identifying unknown protein functional modules, such as protein complexes and biological pathways, from protein–protein interaction (PPI) networks, provides biologists with an opportunity to efficiently understand cellular function and organization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::503a828f5bebe2261604c38b4861a380
https://pubmed.ncbi.nlm.nih.gov/36526282
https://pubmed.ncbi.nlm.nih.gov/36526282
Publikováno v:
RCAR
Artificial Intelligence (AI) is a research-focused technology in which Natural Language Processing (NLP) is a core technology in AI. Sentiment Analysis (SA) aims to extract and classify the people's opinions by NLP. The Machine Learning (ML) and lexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d45e4cc04f33026c5724fbee0a773de3
https://doi.org/10.1109/rcar52367.2021.9517671
https://doi.org/10.1109/rcar52367.2021.9517671
Publikováno v:
IEEE transactions on computational social systems. 8(4)
The ongoing coronavirus disease 2019 (COVID-19) pandemic spread throughout China and worldwide since it was reported in Wuhan city, China in December 2019. 4 589 526 confirmed cases have been caused by the pandemic of severe acute respiratory syndrom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a53955541c46728df7ad21173a3f302d
https://pubmed.ncbi.nlm.nih.gov/35582632
https://pubmed.ncbi.nlm.nih.gov/35582632
Skin lesion segmentation is an important step for automatic melanoma diagnosis. Due to the non-negligible diversity of lesions from different patients, extracting powerful context for fine-grained semantic segmentation is still challenging today. Alt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43b02c3a7908bcad276392aed32b8af8
Medical image segmentation can provide a reliable basis for further clinical analysis and disease diagnosis. With the development of convolutional neural networks (CNNs), medical image segmentation performance has advanced significantly. However, mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23c5674a9be261f6f6f6c6752803ba3c
Publikováno v:
Sensors, Vol 23, Iss 2, p 841 (2023)
The spatial–temporal prediction of traffic flow is very important for traffic management and planning. The most difficult challenges of traffic flow prediction are the temporal feature extraction and the spatial correlation extraction of nodes. Due
Externí odkaz:
https://doaj.org/article/6a38b8e9e580466da81b651dc1e28d54