HAIS 2020 : International Conference on Hybrid Artificial Intelligent Systems

  in Conferences   Posted on June 5, 2020

Conference Information

Submission Deadline Wednesday 27 May 2020 Proceedings indexed by :
Conference Dates Nov 11, 2020 - Nov 13, 2020
Conference Address Gijón, Spain
Conference & Submission Link http://2020.haisconference.eu/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

G2R Score 1.65
#Contributing Top Scientists 11
#Papers published by Top Scientists 17
Google Scholar H5-index 6
Number of Editions: 15
Guide2Research Overall Ranking: 580
Category Rankings
Databases & Information Systems 97
Machine Learning & Artificial Intelligence 124
Proceedings https://link.springer.com/conference/hais
DBLP Page https://dblp.uni-trier.de/db/conf/hais

Conference Call for Papers

The 15th International Conference on Hybrid Artificial Intelligence Systems (HAIS’20) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. Hybrid intelligent systems are popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness, high-dimensionality. They provide us with the opportunity to use both, our knowledge and row data to solve problems in a more interesting and promising way.

HAIS Series of Conferences provides an interesting opportunity to present and discuss the latest theoretical advances and real-world applications in this multidisciplinary research field.

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

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.

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