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.

Fields of science

• natural sciences › biological sciences › molecular biology
• medical and health sciences › health sciences › personalized medicine
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors › smart sensors
• natural sciences › computer and information sciences › data science › data mining

Programme(s)

• FP7-ICT - Specific Programme "Cooperation": Information and communication technologies

Topic(s)

• ICT-2013.9.5 - FET-Open Xtrack

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.)