Conference Information

ISAAI 2019: International Symposium on Applied Artificial Intelligence

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Submission Date:
2019-08-01
Notification Date:
2019-09-15
Conference Date:
2019-11-20
Location:
Munich, Germany
Years:
1
Viewed: 13456   Tracked: 0   Attend: 0
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ISAAI
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Conference Partner Index (CP-I)

35.8 / 100
Ranked #5,622 of 5,693 conferences · Top 99%

#730 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%)
8
Public record completeness (15%)
25

Inputs used: Editions on record: 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

ISAAI 2019 (International Symposium on Applied Artificial Intelligence) is an academic conference held in Munich, Germany on 2019-11-20. The paper submission deadline is 2019-08-01. Acceptance notifications are sent on 2019-09-15.

Your are invitied to submit novel and unpublished regular papers for ISAAI’19 in the following areas: AI integration in practice analysis of application areas and data sources experience and technical reports on use cases and implementations human-in-the-loop and education on AI AI goals, benefits and challenges understanding history: from data mining to reasoning anticipating the future: predictive maintenance from machines to humans handling uncertainty and open systems rigorous engineering of AI systems AI algorithms and techniques cognitive technologies, autonomous techniques and robotics natural language processing, deep learning and machine learning search algorithms and optimization
Last updated by Dou Sun on

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