会议信息

AITest 2025: IEEE International Conference On Artificial Intelligence Testing

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嵌入截止倒计时徽章
AITest
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2025-04-30
通知日期:
2025-05-20
会议日期:
2025-07-21
会议地点:
Tucson, Arizona, USA
届数:
7
浏览: 26379   关注: 2   参加: 0

会伴指数 (CP-I)

46.0 / 100
全站第 2,542 名 / 共 5,682 个会议 · 前 45%

人工智能与机器学习 第 275 / 739

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%)
56
社区关注 (10%)
21
资料公开度 (15%)
35

用到的输入: 有据可查的届次：7 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：3 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 45% —— 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 2026-09-15

征稿

AITest 2025 (IEEE International Conference On Artificial Intelligence Testing) is an academic conference held in Tucson, Arizona, USA on 2025-07-21. The paper submission deadline is 2025-04-30. Acceptance notifications are sent on 2025-05-20.

Topics of Interest Topics of interest include, but are not limited to: 1. Testing of AI Methodologies, theories, techniques, and tools for testing, verification, and validation of AI Test Oracle for testing AI Tools and resources for automated testing of AI Techniques for testing deep neural network learning, reinforcement learning, and graph learning 2. AI for Software Testing AI techniques to software testing AI applications to software testing Human testers and AI-based testing Crowdsourcing and swarm intelligence in software testing Genetic algorithms, search-based techniques, and heuristics to optimize testing Constraint programming for test case generation and test suite reduction Constraint scheduling and optimization for test case prioritization and test execution scheduling 3. Large Language Models (LLMs) Testing of Large Language Models (LLMs) Quality evaluation and assurance for LLMs LLMs for software engineering and testing Fairness, ethics, bias, and trustworthiness for LLM applications 4. Data Quality and Policy Data quality and validation for AI Quality assurance for unstructured training data Large-scale unstructured data quality certification AI and data management policies 5. Domain-Specific Testing Specific concerns of testing with domain-specific AI Computer Vision Testing Intelligent Chatbot Testing Smart Machine (Robot/AV/UAV) Testing Impact of GAI on education Responsible AI testing
由 Dou Sun 最后更新于

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相关期刊

CCF全称影响因子出版商ISSN
Journal of Electronic Testing1.3Springer0923-8174
Software Testing Verification and Reliability1.2Wiley0960-0833
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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