可解释AI 综述及其在地震科学领域中的应用展望
黄立洪， 李健， 刘哲函， 王晓明， 商杰， 盖磊， 邱宏茂… - 地震科学进展 - gjdzdt.cn
近十年来, 人工智能(Artificial Intelligence, AI) 作为计算机科学技术的一项重要分支,
在计算机视觉, 自然语言处理, 机器翻译等研究领域取得了跨越级突破. 作为二十一世纪初的一项 …
在计算机视觉, 自然语言处理, 机器翻译等研究领域取得了跨越级突破. 作为二十一世纪初的一项 …
Applications of Explainable artificial intelligence in Earth system science
In recent years, artificial intelligence (AI) rapidly accelerated its influence and is expected to
promote the development of Earth system science (ESS) if properly harnessed. In …
promote the development of Earth system science (ESS) if properly harnessed. In …
[PDF][PDF] 人工智能技术在地震减灾应用中的研究进展
隗永刚， 蒋长胜 - 地球物理学进展, 2021 - dsjyj.com.cn
人工智能技术在地震减灾应用中的研究进展 Page 1 2021 年第36 卷第2 期 2021,36( 2) : 0516-0524
地球物理学进展Progress in Geophysics http: //www.progeophys.cn ISSN 1004-2903 CN 11-2982 …
地球物理学进展Progress in Geophysics http: //www.progeophys.cn ISSN 1004-2903 CN 11-2982 …
Earth Sciences Unleashed: A Comprehensive Exploration of AI Applications
S Shobana, A Muthumari, S Subashree… - Novel AI Applications …, 2024 - igi-global.com
The emergence of synthetic artificial intelligence (AI) in recent years has revolutionized
numerous sectors, which includes Earth Sciences. AI has recently emerged as a powerful …
numerous sectors, which includes Earth Sciences. AI has recently emerged as a powerful …
[PDF][PDF] Preface to the special issue of Artificial Intelligence in Seismology
L Fang, Z Li - Earthquake Science, 2023 - equsci.org.cn
Seismology is a data-intensive and data-driven science. The rapid growth of seismometer
density and data size calls for more efficient and effective processing tools. In recent years …
density and data size calls for more efficient and effective processing tools. In recent years …
[PDF][PDF] A special issue on recent progress in developing artificial intelligence and machine learning methodologies [from the guest editors]
S Mohammed, K Tai-hoon, P Ghamisi… - IEEE Geoscience and …, 2021 - scholar.archive.org
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE JUNE 2021 8 between HS
remote sensing and interpretable AI models, with a brief introduction to the research …
remote sensing and interpretable AI models, with a brief introduction to the research …
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience
A Mamalakis, EA Barnes… - Artificial Intelligence for …, 2022 - journals.ametsoc.org
Convolutional neural networks (CNNs) have recently attracted great attention in geoscience
because of their ability to capture nonlinear system behavior and extract predictive …
because of their ability to capture nonlinear system behavior and extract predictive …
[图书][B] Explainable AI: interpreting, explaining and visualizing deep learning
The development of “intelligent” systems that can take decisions and perform autonomously
might lead to faster and more consistent decisions. A limiting factor for a broader adoption of …
might lead to faster and more consistent decisions. A limiting factor for a broader adoption of …
Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications
A Tursunalieva, DLJ Alexander, R Dunne, J Li… - Applied Sciences, 2024 - mdpi.com
Transparency in AI models is essential for promoting human–AI collaboration and ensuring
regulatory compliance. However, interpreting these models is a complex process influenced …
regulatory compliance. However, interpreting these models is a complex process influenced …