Conference Information

HAIS 2020: International Conference on Hybrid Artificial Intelligence Systems

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HAIS
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Submission Date:
2020-05-27 Extended
Notification Date:
2020-06-12
Conference Date:
2020-09-04
Location:
Gijon (Asturias), Spain
Years:
15
QUALIS: B4   Viewed: 30245   Tracked: 5   Attend: 0

Conference Partner Index (CP-I)

50.1 / 100
Ranked #1,580 of 5,693 conferences · Top 28%

#152 of 742 in Artificial Intelligence & Machine Learning

Academic recognition (35%)
54
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
75
Community attention (10%)
26
Public record completeness (15%)
25

Inputs used: Listed as QUALIS B4 · Editions on record: 15 · Researchers following it here: 5 · 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 80% - 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 2026-10-04

Call For Papers

HAIS 2020 (International Conference on Hybrid Artificial Intelligence Systems) is a QUALIS B4 conference held in Gijon (Asturias), Spain on 2020-09-04. The paper submission deadline is 2020-05-27 (extended). Acceptance notifications are sent on 2020-06-12.

Topics are encouraged, but not limited to, the combination of at least two of the following areas in the field of Hybrid Intelligent Systems: Fusion of soft computing and hard computing Evolutionary Computation Visualization Techniques Optimization Techniques Ensemble Techniques Case base reasoning Chance discovery Data mining and decision support systems Big Data modeling and visualization Intelligent agent-based systems Cognitive and Reactive distributed AI systems Intelligent Human Interfacing Deep Learning IoT and Intelligent Cloud/Fog Computing Computation in Bio-Medicine Intelligent Sensors Intelligent Time Series processing etc. Applications in real world scenarios include mining engineering, security, prediction, control, robotics, image and speech signal processing, bioinformatics, biology and medicine, business and management, knowledge management, artificial societies, chemicals, pharmaceuticals, food industry, geographic information systems, materials and environment engineering and so on.
Last updated by Dou Sun on

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