会议信息

CSML 2023: International Conference on Computer Science and Machine Learning

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CSML
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截稿日期:
2025-10-11 Extended
通知日期:
2025-12-13
会议日期:
2023-01-02
会议地点:
Zurich, Switzerland
浏览: 8656   关注: 0   参加: 0

会伴指数 (CP-I)

43.6 / 100
全站第 3,453 名 / 共 5,687 个会议 · 前 61%

人工智能与机器学习 第 427 / 741

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-27

征稿

CSML 2023 (International Conference on Computer Science and Machine Learning) is an academic conference held in Zurich, Switzerland on 2023-01-02. The paper submission deadline is 2025-10-11 (extended). Acceptance notifications are sent on 2025-12-13.

4th International Conference on Computer Science and Machine Learning (CSML 2026) January 24 ~ 25, 2026, Copenhagen, Denmark https://aisca2026.org/csml/index Scope & Topics 4th International Conference on Computer Science and Machine Learning (CSML 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing and Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to this conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following • Artificial Intelligence • Bayesian Network • Big Data • Bioinformatics • Computer Architecture and Real time Systems • Computer Vision • Database and Data Mining • Deep Learning • Dependable, reliable and autonomic computing • Distributed and parallel systems & algorithms • Embedded system and software • Internet of Things (IoT) • Learning in knowledge-intensive systems • Learning Methods and analysis • Learning Problems • Machine Learning Algorithms • Modelling and Simulation • Natural Language Processing (NLP) • Networking and Communications • Neural Networks • Parallel and Distributed Systems • Predictive Learning • Reinforcement Learning • Security , Cryptography , Blockchain • Signal /Image Processing/Multimedia • Software Engineering • Supervised Machine Learning • Unsupervised Machine Learning • Web and internet computing Paper Submission Authors are invited to submit papers through the conference Submission System by October 11, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 45) in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from CSML 2026, after further revisions, will be published in the special issues of the following journals. • International Journal on Natural Language Computing (IJNLC) • International Journal of Computer Science & Information Technology (IJCSIT) • Advanced Computing: An International Journal (ACIJ) • International Journal of Computer Science, Engineering and Applications (IJCSEA) • International Journal of Advanced Information Technology (IJAIT) • International Journal of Soft Computing (IJSC) • International Journal of Artificial Intelligence & Applications (IJAIA) • Machine Learning and Applications: An International Journal (MLAIJ) • Information Technology in Industry (ITII) Important Dates • Submission Deadline : October 11, 2025 • Authors Notification: December 13, 2025 • Registration & camera - Ready Paper Due: December 20, 2025 Contact Us Here's where you can reach us : [email protected] or [email protected]
由 Jayden Hunter 最后更新于

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