AI in Drug Discovery: First International Workshop, Aidd 2024, Held in Conjunction with Icann 2024, Lugano, Switzerland, September 19, 2024,
Clevert, Djork-Arné, Wand, Michael, Malinovská, Kristína
- 出版商: Springer
- 出版日期: 2024-09-27
- 售價: $2,280
- 貴賓價: 9.5 折 $2,166
- 語言: 英文
- 頁數: 176
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031723805
- ISBN-13: 9783031723803
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相關分類:
GAN 生成對抗網絡、人工智慧
海外代購書籍(需單獨結帳)
相關主題
商品描述
This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024.
The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.
商品描述(中文翻譯)
本開放存取書籍是2024年人工智慧藥物發現國際研討會(AIDD 2024)的經過審查的會議論文集,該研討會作為第33屆國際人工神經網路會議(ICANN 2024)的一部分,於2024年9月19日在瑞士盧加諾舉行。
這裡呈現的12篇論文經過仔細審查並選入這本開放存取的會議論文集。這些論文聚焦於快速發展的人工智慧(AI)驅動的化學藥物發現領域的各個方面,包括大數據和先進的機器學習、可解釋的人工智慧(XAI)、化學資訊學、使用深度學習預測分子性質、化學反應數據的建模與預測以及生成模型。