Acknowledgements for papers
- Ack ISR: This work was supported by FCT with the LARSyS - FCT Project UIDB/50009/2020
- Ack INTELLIGENT-CARE: This work was supporter by the project IntelligentCare – Intelligent Multimorbidity Managment System (Reference LISBOA-01-0247-FEDER-045948), co-financed by the ERDF – European Regional Development Fund through the Lisbon Portugal Regional Operational Program – LISBOA 2020 and by the Portuguese Foundation for Science and Technology – FCT under CMU Portugal.
- Ack ORIENT: This work was supported by the European Commission project ORIENT (ERC/2016/693400)
- Ack ELEVAR: This work was supported by national project ELEVAR (PT2020 Grant 17924)
- Ack VOAMAIS: This work was supported by national project VOAMAIS (02/SAICT/2017/31172)
- Ack FIREFRONT: This work was supported by FCT 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].