Conference Information

ICMAI 2020: International Conference on Mathematics and Artificial Intelligence

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Submission Date:
2020-03-01 Extended
Notification Date:
2020-03-15
Conference Date:
2020-04-10
Location:
Chengdu, China
Years:
5
Viewed: 23117   Tracked: 39   Attend: 11

Conference Partner Index (CP-I)

45.3 / 100
Ranked #2,776 of 5,684 conferences · Top 49%

#19 of 69 in Mathematics & Physical Sciences #301 of 741 in Artificial Intelligence & Machine Learning

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%)
48
Community attention (10%)
44
Public record completeness (15%)
25

Inputs used: Editions on record: 5 · Researchers following it here: 39 · 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 45% - 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 2026-09-23

Call For Papers

ICMAI 2020 (International Conference on Mathematics and Artificial Intelligence) is an academic conference held in Chengdu, China on 2020-04-10. The paper submission deadline is 2020-03-01 (extended). Acceptance notifications are sent on 2020-03-15.

It is hoped to influence the spawning of new areas of applied mathematics and the strengthening of the scientific underpinnings of Artificial Intelligence. The following topics of interest for submission include, but are not limited to: Mathematical Foundations Mathematics, general Artificial Intelligence (incl. Robotics) AI and Digital Entertainment AI and Education AI and Smart Cities AI applications AI architectures AI in Learning Environments Automated Reasoning Big Data Cognitive modeling and Computing Cognitive Models Cognitive Robotics Complex Systems Computational Creativity Computer Science, general Constraint Satisfaction Data Mining E‐Commerce Evolutionary Computation Experimentation of Combinatorial Algorithms Human Computer Interaction Information Agents Information Retrieval and Extraction Knowledge Acquisition Knowledge Engineering Knowledge Representation Knowledge Representation Learning in adaptive systems Machine Consciousness Machine Learning Metacognition in Artificial Agents Multiagent Systems, Distributed AI Multi‐media Processing Natural Language Processing Neural Nets Ontologies Philosophical Foundations Planning and Scheduling Semantic Web Smart Graphics Soft and Evolutionary Computing Vision and Perception Web and Data Mining Web Applications
Last updated by Dou Sun on

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