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Learning from Massive, Incompletely annotated, and Structured Data

Objective

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.
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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)

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RUDER BOSKOVIC INSTITUTE

Croatia

EU Contribution

€ 202 320

UNIVERSITA DEGLI STUDI DI BARI ALDO MORO

Italy

EU Contribution

€ 508 800

Ss. CYRIL AND METHODIUS UNIVERSITY IN SKOPJE

North Macedonia

EU Contribution

€ 163 200

INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA

Portugal

EU Contribution

€ 276 600

Project information

Grant agreement ID: 612944

Status

Closed project

  • Start date

    1 February 2014

  • End date

    31 July 2017

Funded under:

FP7-ICT

  • Overall budget:

    € 2 293 310

  • EU contribution

    € 1 748 295

Coordinated by:

INSTITUT JOZEF STEFAN

Slovenia

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