会议信息

MIX-AI 2018: MIX Summit and Conference on Artificial Intelligence and Machine Learning

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MIX-AI
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截稿日期:
2018-03-16
通知日期:
2018-04-20
会议日期:
2018-07-24
会议地点:
Dublin, Ireland
浏览: 13438   关注: 0   参加: 0

会伴指数 (CP-I)

42.1 / 100
全站第 4,093 名 / 共 5,652 个会议 · 前 73%

人工智能与机器学习 第 527 / 736

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%)
25

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 2026-09-08

征稿

MIX-AI 2018 (MIX Summit and Conference on Artificial Intelligence and Machine Learning) is an academic conference held in Dublin, Ireland on 2018-07-24. The paper submission deadline is 2018-03-16. Acceptance notifications are sent on 2018-04-20.

MIX-AI will present some of the latest high-quality results and breakthroughs in Artificial Intelligence. The topics are framed to match the European Commission's Horizon 2020 societal challenges. It is planned that the results and papers presented at the conference will constitute a significant and holistic contribution to the growing knowledge based within the area of AI. To ensure this, the conference will consider and present research that is related to addressing the following areas: 1. AI for Health and Wellbeing 2. AI for Food/Agriculture & the Bioeconomy 3. AI for Energy & Environment 4. AI for Transportation 5. AI and its impact on Society 6. AI for Business & Finance If your research is related to any of these topics, then we welcome a submission from you. Submissions can be from anywhere in the world and from any discipline. MIX-AI uses EasyChair software for paper submissions. If you do not have an EasyChair account, then you will need to register one in order to submit. You can register and/or submit your paper by clicking the 'Submit Paper' button below. Submission Information ​ Accepted Submissions Types Full papers Papers in this category concern the traditional full papers of 12 pages. These should be aimed at presenting new and original work in Artificial Intelligence that meets the high-quality standards of MIX-AI. Mandatory abstract submissions of at most 200 words for the full papers are due by the deadline of 16th of March 2018; submissions of the final version of the entire full paper are due by the deadline of 11th of May 2018. Poster-only papers/Short Papers Submissions are allowed that are targeted at being a poster-only paper of at most 2 pages, provided that if they are chosen for submission they are then extended to a short paper of at least 4 pages. Such papers should present work in Artificial Intelligence that is original, but has not yet reached the stage of the more mature, complete research results that are typically published in full papers at MIX-AI. Poster-only papers are due by the deadline of 16th of March 2018. Both full and short papers must be done in accordance to the publisher's guidelines. Word templates that fit such guidelines can be downloaded here. Review Process Each paper submitted to MIX-AI will be rigorously evaluated in a double-blind peer review process. Evaluation is done on a per-track basis, ensuring high interest and high expertise of the reviewers. Review criteria include the significance of the work, technical soundness, novelty, clarity, writing quality, relevance, and sufficiency of information to permit replication, if applicable. Accepted papers will be given feedback on a TBC date, allowing authors to update their papers before full submission. Submission Terms Submit a final, revised, version to MIX-AI on or before the final deadline. Register at least one author to attend the conference on or before the registration deadline Attend the conference (at least one author) Present the accepted paper at the conference Anonymity Submitted papers should be anonymised. This means that they should NOT contain any element that may reveal the identity of their authors. This includes author names, affiliations, and acknowledgments. Moreover, any references to any of the author's own work should be made as if the work belonged to someone else.
由 Dou Sun 最后更新于

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