IJCAI Topic Selection
Evaluates AI research papers for IJCAI conference fit, track selection, and venue routing against top tier alternatives.
IJCAI Topic Selection helps academic researchers and AI scientists determine whether their research project is best suited for IJCAI/IJCAI-ECAI or specialized venues such as NeurIPS, ICML, AAAI, CVPR, or ACL. By analyzing paper contributions, track alignments (Main Track, Special Tracks, Survey Track), and journal tie-ins (AIJ/JAIR), this skill identifies potential reviewer pushback, policy pitfalls, and optimal submission strategies to maximize publication acceptance rates.
Key Features
01Provides strategic guidance for the IJCAI Survey Track and AIJ/JAIR journal ecosystems
02Evaluates AI paper fit against IJCAI main track and specialized track criteria
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04Routes research across competitive AI venues including NeurIPS, ICML, AAAI, and CVPR
05Generates structured fit assessments with actionable next steps for paper framing
06Identifies top rejection risks spanning scope, theoretical framing, and submission policies
Use Cases
01Selecting the ideal submission track between Main Track, Survey Track, and thematic Special Tracks
02Deciding whether to submit a cross-disciplinary AI manuscript to IJCAI or a domain-specific conference
03Reframing AI applications to meet IJCAI technical contribution standards and avoid scope-based desk rejections