Ddgcn: Dual dynamic graph convolutional networks for rumor detection on social media
Detecting rumors on social media has become particular important due to the rapid
dissemination and adverse impacts on our lives. Though a set of rumor detection models …
dissemination and adverse impacts on our lives. Though a set of rumor detection models …
[HTML][HTML] Towards efficient use of data, models and tools in food microbiology
Highlights•FAIR principles and IT-based solutions will greatly influence future food systems.•
Interoperability of data, models and tools is an important long-term development goal.•FSKX …
Interoperability of data, models and tools is an important long-term development goal.•FSKX …
Inconsistent matters: A knowledge-guided dual-consistency network for multi-modal rumor detection
Rumor spreaders are increasingly utilizing multimedia content to attract the attention and
trust of news consumers. Though quite a few rumor detection models have exploited the …
trust of news consumers. Though quite a few rumor detection models have exploited the …
From unstructured texts to semantic story maps
Digital maps greatly support storytelling about territories, especially when enriched with data
describing cultural, societal, and ecological aspects, conveying emotional messages that …
describing cultural, societal, and ecological aspects, conveying emotional messages that …
[HTML][HTML] A global-scale ecological niche model to predict SARS-CoV-2 coronavirus infection rate
G Coro - Ecological modelling, 2020 - Elsevier
COVID-19 pandemic is a global threat to human health and economy that requires urgent
prevention and monitoring strategies. Several models are under study to control the disease …
prevention and monitoring strategies. Several models are under study to control the disease …
Data science: a game changer for science and innovation
This paper shows data science's potential for disruptive innovation in science, industry,
policy, and people's lives. We present how data science impacts science and society at …
policy, and people's lives. We present how data science impacts science and society at …
An intelligent and cost-effective remote underwater video device for fish size monitoring
G Coro, MB Walsh - Ecological Informatics, 2021 - Elsevier
Monitoring the size of key indicator species of fish is important to understand ecosystem
functions, anthropogenic stress, and population dynamics. Standard methodologies gather …
functions, anthropogenic stress, and population dynamics. Standard methodologies gather …
国内外开放科学主题研究综述
盛小**， 毕畅畅， 唐筠杰 - 图书情报知识, 2022 - dik.whu.edu.cn
[目的/意义] 梳理国内外开放科学主题研究成果, 解析相关研究的主要观点, 以促进国内开放科学
主题研究.[方法/过程] 采用文献计量分析方法, 以来源于Web of Science, **知网的开放科学 …
主题研究.[方法/过程] 采用文献计量分析方法, 以来源于Web of Science, **知网的开放科学 …
[HTML][HTML] D-VRE: From a Jupyter-enabled Private Research Environment to Decentralized Collaborative Research Ecosystem
Today, scientific research is increasingly data-centric and compute-intensive, relying on data
and models across distributed sources. However, it still faces challenges in the traditional …
and models across distributed sources. However, it still faces challenges in the traditional …
Extracting Mediterranean hidden fishing hotspots through big data mining
Monitoring fishing activity is crucial for fisheries management and governments to ensure
regulatory compliance and sustainable marine ecosystems. Analysing vessel movements …
regulatory compliance and sustainable marine ecosystems. Analysing vessel movements …