会议信息

ISMIS 2022: International Symposium on Methodologies for Intelligent Systems

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截稿日期:
2022-05-26
通知日期:
2022-07-08
会议日期:
2022-10-03
会议地点:
Cosenza, Italy
届数:
26
ICORE: C   QUALIS: B2   浏览: 25576   关注: 0   参加: 0

会伴指数 (CP-I)

56.1 / 100
全站第 766 名 / 共 5,682 个会议 · 前 14%

人工智能与机器学习 第 60 / 739

学术认可 (35%)
68
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入
会议传承 (20%)
89
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 收录等级:ICORE C, QUALIS B2 · 有据可查的届次:26 · 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 80% —— 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 2026-09-20

征稿

ISMIS 2022 (International Symposium on Methodologies for Intelligent Systems) is a ICORE C / QUALIS B2 conference held in Cosenza, Italy on 2022-10-03. The paper submission deadline is 2022-05-26. Acceptance notifications are sent on 2022-07-08.

Overview ISMIS is an established and prestigious conference for exchanging the latest research results in building intelligent systems. It provides a basis for exchanging research results and transferring scientific achievements towards industrial applications. The scope of ISMIS is to present a wide range of topics related to the application of Artificial Intelligence techniques related to areas such as decision support, knowledge representation, logical programming, knowledge-based systems, machine learning, planning, computer vision, information retrieval, configuration and diagnosis. The conference also focuses on interdisciplinary research in AI-related fields, for example, decision support systems and human decision making or recommender systems and human personality, and knowledge-based systems development and cognitive aspects of knowledge understanding. COVID-19 Information Due to the ongoing COVID-19 circumstances around the world, ISMIS 2022 will be a hybrid conference (In presence participation to the conference will be welcomed, but it will be possible to attend it virtually). Conference Scope This year’s conference theme spans over two main directions: “Towards Trustworthy Artificial Intelligence” and “Human-centric Artificial Intelligence”. With this focus, ISMIS2022 aims at contributing to emerging challenges relative to the development of robust, trustworthy AI systems capable of both “understanding” and “be understandable by” humans, adapting to complex real-world environments, and appropriately interacting in complex social settings. The increased relevance of areas such as autonomous driving, intelligent sales assistants, and strategic application domains such as medicine, intelligent maintenance, and eLearning require systems with high accuracy, robustness, accountability, fairness, transparency, interpretability and ethics. ISMIS 2022 is intended to attract individuals who are actively engaged both in theoretical and practical aspects of intelligent systems. The goal is to provide a platform for a useful exchange between theoreticians and practitioners, and to foster the cross-fertilization of ideas. Relevant conference topics include but are not limited to: Explainable AI (XAI) Machine Learning Deep learning Data Mining Recommender Systems Constraint-based systems Autonomous systems Applications (Configuration, Internet of Things, Financial Services, e-Health…) Intelligent user interfaces User Modeling Human computation Causality and Machine Learning Ethics and AI Socially-aware systems Digital libraries Intelligent Agents Information Retrieval Natural Language Processing Knowledge Integration Knowledge Visualization Knowledge Representation Soft Computing Web & Text Mining
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相关期刊

CCF全称影响因子出版商ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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