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Learning from Massive, Incompletely annotated, and Structured Data

Project description

FET-Open Xtrack The ultimate goal of the MAESTRA project is to develop predictive modelling methods capable of addressing massive sets of network data incompletely labelled with structured outputs.

Field of science

  • /natural sciences/biological sciences/molecular biology
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /natural sciences/computer and information sciences/data science/data analysis
  • /natural sciences/computer and information sciences/data science/data mining

Call for proposal

FP7-ICT-2013-X
See other projects for this call

Funding Scheme

CP - Collaborative project (generic)

Coordinator Contact

Saso DZEROVSKI (Prof.)

Coordinator

INSTITUT JOZEF STEFAN
Address
Jamova 39
1000 Ljubljana
Slovenia
Activity type
Research Organisations
EU contribution
€ 597 375
Administrative Contact
Jadran Lenarcic (Prof.)

Participants (4)

RUDER BOSKOVIC INSTITUTE
Croatia
EU contribution
€ 202 320
Address
Bijenicka Cesta 54
10000 Zagreb
Activity type
Research Organisations
Administrative Contact
Marijana Klasnic Kozar (Ms.)
UNIVERSITA DEGLI STUDI DI BARI ALDO MORO
Italy
EU contribution
€ 508 800
Address
Piazza Umberto I 1
70121 Bari
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Rosaria LACALAMITA (Ms.)
Ss. CYRIL AND METHODIUS UNIVERSITY IN SKOPJE
North Macedonia
EU contribution
€ 163 200
Address
Blvd Goce Delcev 9
1000 Skopje
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Ivica Dimitrovski (Dr.)
INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA
Portugal
EU contribution
€ 276 600
Address
Rua Dr Roberto Frias Campus Da Feup
4200 465 Porto
Activity type
Research Organisations
Administrative Contact
Marta Barbas (Ms.)