Conference Information

ICAI' 2022: International Congress on Artificial Intelligence

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Submission Date:
2022-07-10
Notification Date:
Conference Date:
2022-08-11
Location:
Hong Kong, China
Viewed: 12066   Tracked: 2   Attend: 2

Conference Partner Index (CP-I)

43.1 / 100
Ranked #3,705 of 5,682 conferences · Top 66%

#465 of 739 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
19
Public record completeness (15%)
25

Inputs used: Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-14

Call For Papers

ICAI' 2022 (International Congress on Artificial Intelligence) is an academic conference held in Hong Kong, China on 2022-08-11. The paper submission deadline is 2022-07-10.

The purpose of ICAI 2022 is to bring together researchers, mathematicians, engineers, and practitioners interested in various aspects related to Artificial Intelligence. The papers will be made to appear in a book to be published by ASDF HQ, India in EDLIB (www.edlib.net). All the published papers will be indexed by Google Scholar and various other search engines. Adaptive Systems Agent-Based Systems AI and Creativity Artificial Life Automated Problem Solving Behavioral Neuroscience Brain Models Case Based Reasoning Cognitive Modeling Computational Neuro Science Computer Vision Constraint Satisfaction Problems Content Based Image Retrieval Data mining Decision Support Systems Distributed AI Emerging Applications Evaluation of AI Systems Evolutionary Computation Evolutionary Algorithms Expert Systems Foundations of AI Fractals Fuzzy Logic Genetic Algorithms Hardware Architectures for AI Vision Wavelets Heuristic and Knowledge-Based Search Methods Human Perception and Communication Image Processing Information and Knowledge Engineering Integration of AI with other Technologies Intelligent Agents Intelligent Databases Intelligent Information Processing Systems Intelligent Information Retrieval Intelligent Networks and Security Intelligent Sensors Intelligent Software Engineering Intelligent Tutoring Systems Knowledge Acquisition Knowledge and Information Management Knowledge Delivery Knowledge Discovery Knowledge-Based Systems Knowledge-Based Problem Solving Knowledge Life Cycle Knowledge Management Knowledge Representation Languages for AI Lateral Computing Machine Learning Machine Translation Mathematical Logic Medical Imaging Multisource and Multisensor Data Fusion Natural Language Processing Neural Networks and Applications Pattern Recognition Philosophical Foundations Planning and Scheduling Probabilistic Methods in AI Reasoning Remote Sensing Robotics Rough Sets Satisfiabiltiy and Constraint Satisfaction Search Techniques Social Impact of AI Soft Computing Software Tools for AI Speech Processing Steganography and Digital Watermarking Statistical Methods in AI Text Mining Theorem Proving Uncertainty User Modeling
Last updated by Dou Sun on

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