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ICCBR 2026: International Conference on Case-Based Reasoning

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ICCBR
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截稿日期:
2026-03-20
通知日期:
2026-04-28
会议日期:
2026-08-13
会议地点:
Bremen, Germany
届数:
CCF: B   ICORE: C   QUALIS: B4   浏览: 104555   关注: 46   参加: 11

会伴指数 (CP-I)

71.5 / 100
全站第 301 名 / 共 5,646 个会议 · 前 6%

人工智能与机器学习 第 26 / 733

学术认可 (35%)
82
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
96
社区关注 (10%)
54
资料公开度 (15%)
55

用到的输入: 收录等级：CCF B, ICORE C, QUALIS B4 · 有据可查的届次：34 · 在会伴关注它的研究者：46 人 · 过去 24 个月打开过本页的研究者：8 人

公开资料里还缺: 历年录用率 (+4.5) · 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 2026-08-30

征稿

ICCBR 2026 (International Conference on Case-Based Reasoning) is a CCF B / ICORE C / QUALIS B4 conference held in Bremen, Germany on 2026-08-13. The paper submission deadline is 2026-03-20. Acceptance notifications are sent on 2026-04-28.

The International Conference on Case-Based Reasoning (ICCBR) is the premier annual meeting of the case-based reasoning (CBR) community and the leading international conference on this topic. The ICCBR 2026 organizers, advisory committee, and program committee invite submissions of original theoretical research, applied research, and deployed application papers on all aspects of Case-Based Reasoning (CBR). This year’s conference will take place at the University of Bremen, Germany, from August 13–16, 2026. The abstract submission deadline is March 20, 2026, and the extended final paper submission deadline is March 27, 2026. Notification of acceptance will be sent by April 28, 2026, with the final version due by May 20, 2026. Topics of Interest We welcome submissions relevant to all areas of CBR, including (but not limited to): Foundations Case authoring, elicitation, and visualization Case representation Case retrieval, indexing, and similarity measures Case reuse, adaptation, revision, and combination Case-based maintenance Memory-Based Reasoning Confidence and uncertainty Evaluation, simulation, and prediction Explanations Similarity metric and adaptation knowledge learning CBR and Related Fields ‘Modern’ CBR Analogical reasoning, cognitive models, and creative reasoning Cloud CBR Counterfactual learning and reasoning Explainable AI (XAI) Intelligent agents, perception, and action Internet of Things Data mining and big data Machine learning (e.g., deep, instance-based/lazy, relational) Natural language processing and information retrieval Robotics and human-robot interaction Web CBR CBR and Large Language Models (LLMs) CBR and Retrieval-Augmented Generation (RAG) CBR Tasks CBR Planning Conversational CBR Design Distributed CBR Recommender Systems Social CBR Temporal Reasoning (e.g., reasoning with traces, time series) Textual CBR User Modeling and Personalization Workflow management and process-oriented CBR CBR Systems and Applications AI for the Social Good CBR architectures and frameworks Cooking Diagnosis, technical support E-science, cyberinfrastructure, scientific workflows Economics, finance Education (including distance learning) Energy, logistics, traffic Game AI Knowledge and experience management Medicine, health Science, engineering
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BJournal of Automated Reasoning0.8Springer0168-7433
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