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Intelligent Data sciencE and Artificial Intellidence

Total activity: 1
Type of activity
Competitive project
Funding entity
AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
Funding entity code
2017 SGR 574
Amount
36.000,00 €
Start date
2017-01-01
End date
2020-12-31
Keywords
Artificial Neural Networks, Automated Translation, Cognitive Systems, Data Science, Data Visualization, Decision Making Support, Deep Learning, Evolutionary Strategies, Fuzzy Systems, Knowledge Management, Linguistic Processors, Machine Learning, Multiagent Systems, Natural Language Processing, Probabilistic Models, Reasoning, Recovery Techniques, Soft Computing, Support Vector Machines
Abstract
The IDEAI research group arises from an integrative fusion of four consolidated groups with a long and fruitful research trajectory. IDEAI scientific activity is focused on the design and development of artificial intelligence and intelligent data science techniques and methodologies to performing diagnosis,forecasting,management,decision support,data science and control of complex systems. The group has as a fundamental goal of its scientific work, the application of the developed approaches to real world problems belonging to a wide range of areas. IDEAI has significantly contribute to problems related to assistive and ambient intelligence, e-health, pharmacoproteomics, culture and education, electronic institutions, web services, social networks, tourism, cognitive robotics, energy and
water environments, smart cities, policy-making and industry.IDEAI has published more than 800 journal articles, has got more than 320 competitive projects and has advised more than
120 Ph.D. thesis.
Scope
Adm. Generalitat
Plan
Estratègia de recerca i innovació per a l'especialització intel·ligent de Catalunya (RIS3CAT)
Call year
2018
Funcding program
RIS3CAT
Funding call
Ajuts per donar suport a les activitats dels grups de recerca de Catalunya
Grant institution
Agència De Gestió D'ajuts Universitaris I De Recerca (agaur)

Participants

Scientific and technological production

1 to 1 of 1 results
 
  • Feature-tree labeling for case base maintenance  Open access

     Nakhjiri, N.; Salamó, M.; Sànchez-Marrè, M.
    Frontiers in artificial intelligence and applications
    Vol. 308, p. 180-189
    DOI: 10.3233/978-1-61499-918-8-180
    Date of publication: 2018-10-01
    Journal article
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    Access to the full text