RES: An Interpretable Replicability Estimation System for Research Publications | Zendy

Zhuoer Wang | Zendy; Qizhang Feng | Zendy; Mohinish Chatterjee | Zendy; Xing Zhao | Zendy; Yezi Liu | Zendy; Yuening Li | Zendy; Abhay K. Singh | Zendy; Frank Shipman | Zendy; Xia Hu | Zendy; James Caverlee | Zendy

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RES: An Interpretable Replicability Estimation System for Research Publications

Author(s) -

Zhuoer Wang,

Qizhang Feng,

Mohinish Chatterjee,

Xing Zhao,

Yezi Liu,

Yuening Li,

Abhay K. Singh,

Frank Shipman,

Xia Hu,

James Caverlee

Publication year - 2022

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - Uncategorized

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v36i11.21737

Subject(s) - credibility , pipeline (software) , computer science , cornerstone , data science , field (mathematics) , task (project management) , timeline , feature (linguistics) , interface (matter) , engineering , systems engineering , political science , art , linguistics , philosophy , mathematics , archaeology , bubble , maximum bubble pressure method , parallel computing , pure mathematics , law , visual arts , history , programming language

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