Acknowledgements for papers

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  • Ack ISR: This work was supported by the FCT project [UID/EEA/50009/2019]
  • Ack ORIENT: This work was supported by the European Commission project ORIENT ( ERC/2016/693400)
  • Ack ELEVAR: This work was supported by project ELEVAR (PT2020 Grant 17924)
  • Ack VOAMAIS: This work was supported by project VOAMAIS (02/SAICT/2017/31172)
  • Ack FIREFRONT: This work was supported by project FIREFRONT (PCIF/SSI/0096/2017)
  • Ack Poeticon++: This work was supported by the European Commission project POETICON++ (FP7-ICT-288382)
  • Ack VISTA: This work was supported by the FCT project VISTA [PTDC/EIA-EIA/105062/2008]
  • Ack HDA: This work was supported by the project High Definition Analytics (HDA), QREN - I&D em Co-Promoção 13750.
  • Ack AHA: This work was supported by the FCT project AHA – CMUP-ERI/HCI/0046/2013.
  • Ack BIOMORPH: This work was supported by the FCT project BIOMORPH-EXPL/EEI AUT/2175/2013
  • PhD student grant: Matteo Taiana is supported by the FCT doctoral grant [SFRH/BD/43840/2008].
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