Conference Information

FAIEMA 2023: International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications

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FAIEMA
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Submission Date:
2023-07-05 Extended
Notification Date:
2023-08-01
Conference Date:
2023-09-25
Location:
Athens, Greece
Years:
1
Viewed: 9471   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

36.5 / 100
Ranked #5,605 of 5,693 conferences · Top 99%

#727 of 742 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%)
19
Community attention (10%)
15
Public record completeness (15%)
25

Inputs used: Editions on record: 1 · Researchers following it here: 1 · 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 2026-10-05

Call For Papers

FAIEMA 2023 (International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications) is an academic conference held in Athens, Greece on 2023-09-25. The paper submission deadline is 2023-07-05 (extended). Acceptance notifications are sent on 2023-08-01.

We invite submissions of full research papers, conceptual papers, and short papers for the conference proceedings. We welcome articles on the following topics, but not limited to: Advances in AI – NLP, Vision, Voice, and Self-taught AI Systems Soft Computing and Evolutionary Computing; NeuroEvolutionary Techniques; Innovations in AI methods, techniques, and algorithms; Explainable AI; AI and Robotics; AI and Automatic Control; AI and Cloud; AI and IoT; Intelligent Engineering Systems, Expert Systems; Knowledge-Based Systems; Ethical use of AI; Guiding the Development of Human-Friendly AI; Exploring human well-being through AI; AI for competitive advantage; AI applications – Health, Energy, Manufacturing, Education, Digital Humanities, and Others; AI applications for business solutions, governance, education, economic planning, and legal solutions;
Last updated by Jayachander Surbiryala on

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