基本信息
姓名: Michael Adjeisah
科研机构: Donghua University
注册时间: 2019-09-02
活跃度: 3669
CV
关注的会议
第1-10条,共28条数据.
CCF | CORE | QUALIS | 简称 | 全称 | 截稿日期 | 通知日期 | 会议日期 |
---|---|---|---|---|---|---|---|
a | a* | VLDB | International Conference on Very Large Data Bases | 2026-03-01 | 2026-04-15 | 2026-08-31 | |
b | b | a1 | ICME | International Conference on Multimedia and Expo | 2025-12-12 | 2026-03-13 | 2026-07-05 |
a | a* | a1 | CVPR | IEEE Conference on Computer Vision and Pattern Recognition | 2025-11-06 | 2026-02-20 | 2026-06-03 |
c | a | b1 | MSR | Working Conference on Mining Software Repositories | 2025-10-20 | 2026-01-07 | 2026-04-15 |
a | a* | a1 | The Web Conference | International World Wide Web Conference | 2025-09-30 | 2026-01-13 | 2026-04-13 |
c | c | b1 | MMM | International Conference on MultiMedia Modeling | 2025-08-19 | 2025-10-09 | 2026-01-29 |
a | a* | a1 | AAAI | AAAI Conference on Artificial Intelligence | 2025-07-25 | 2025-11-03 | 2026-01-20 |
c | b | b3 | ISPA | International Symposium on Parallel and Distributed Processing with Applications | 2025-07-07 | 2025-08-07 | 2025-10-10 |
b | a | a1 | EMNLP | Conference on Empirical Methods in Natural Language Processing | 2025-05-19 | 2025-08-20 | 2025-11-05 |
a | a1 | NeurIPS | Conference on Neural Information Processing Systems | 2025-05-11 | 2025-09-18 | 2025-12-02 |
第1-10条,共28条数据.
简称 | 全称 | 截稿日期 | 会议日期 |
---|---|---|---|
VLDB | International Conference on Very Large Data Bases | 2026-03-01 | 2026-08-31 |
ICME | International Conference on Multimedia and Expo | 2025-12-12 | 2026-07-05 |
CVPR | IEEE Conference on Computer Vision and Pattern Recognition | 2025-11-06 | 2026-06-03 |
MSR | Working Conference on Mining Software Repositories | 2025-10-20 | 2026-04-15 |
The Web Conference | International World Wide Web Conference | 2025-09-30 | 2026-04-13 |
MMM | International Conference on MultiMedia Modeling | 2025-08-19 | 2026-01-29 |
AAAI | AAAI Conference on Artificial Intelligence | 2025-07-25 | 2026-01-20 |
ISPA | International Symposium on Parallel and Distributed Processing with Applications | 2025-07-07 | 2025-10-10 |
EMNLP | Conference on Empirical Methods in Natural Language Processing | 2025-05-19 | 2025-11-05 |
NeurIPS | Conference on Neural Information Processing Systems | 2025-05-11 | 2025-12-02 |
参加的会议
第1-8条,共8条数据.
CCF | CORE | QUALIS | 简称 | 全称 | 会议日期 | 会议地点 |
---|---|---|---|---|---|---|
a | a* | VLDB | International Conference on Very Large Data Bases | 2023-08-28 | Vancouver, British Columbia, Canada | |
a | a* | a1 | CVPR | IEEE Conference on Computer Vision and Pattern Recognition | 2024-06-17 | Seattle, Washington, USA |
a | a* | a1 | The Web Conference | International World Wide Web Conference | 2024-05-13 | Singapore |
a | a* | a1 | AAAI | AAAI Conference on Artificial Intelligence | 2026-01-20 | Singapore |
a | a1 | NeurIPS | Conference on Neural Information Processing Systems | 2022-11-28 | Online | |
b | a | a1 | EMNLP | Conference on Empirical Methods in Natural Language Processing | 2025-11-05 | Suzhou, China |
CAIML | International Conference on Artificial Intelligence and Machine Learning | 2022-07-23 | Toronto, Ontario, Canada | |||
NLPML | International Conference on Natural Language Processing and Machine Learning | 2022-05-28 | Vancouver, Canada |
第1-8条,共8条数据.
全称 | 会议日期 | 会议地点 |
---|---|---|
International Conference on Very Large Data Bases | 2023-08-28 | Vancouver, British Columbia, Canada |
IEEE Conference on Computer Vision and Pattern Recognition | 2024-06-17 | Seattle, Washington, USA |
International World Wide Web Conference | 2024-05-13 | Singapore |
AAAI Conference on Artificial Intelligence | 2026-01-20 | Singapore |
Conference on Neural Information Processing Systems | 2022-11-28 | Online |
Conference on Empirical Methods in Natural Language Processing | 2025-11-05 | Suzhou, China |
International Conference on Artificial Intelligence and Machine Learning | 2022-07-23 | Toronto, Ontario, Canada |
International Conference on Natural Language Processing and Machine Learning | 2022-05-28 | Vancouver, Canada |
关注的期刊
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全称 | 影响因子 | 出版商 |
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关注的科研人员
姓名 | 科研机构 | 注册时间 | Score |
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