会议信息

IPMU 2024: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

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截稿日期:
2024-02-23
通知日期:
2024-03-29
会议日期:
2024-07-22
会议地点:
Lisbon, Portugal
届数:
20
ICORE: C   浏览: 7687   关注: 0   参加: 0
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IPMU
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会伴指数 (CP-I)

51.3 / 100
全站第 1,335 名 / 共 5,693 个会议 · 前 24%

人工智能与机器学习 第 121 / 742

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
82
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 收录等级:ICORE C · 有据可查的届次:20 · 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 2026-10-06

征稿

IPMU 2024 (International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems) is a ICORE C conference held in Lisbon, Portugal on 2024-07-22. The paper submission deadline is 2024-02-23. Acceptance notifications are sent on 2024-03-29.

The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Técnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you’ll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World’s Leading City Destination at the 2018 World Travel Awards. Topics and Scope of the Conference Theory, Methods and Tools Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. Application Fields Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. IPMU’2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work.
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