MAIPro
Project Non-compliance Monitoring and Alert
Description
The object of study is the timely prediction of the possibility of non-compliance in terms of timings or financial targets. This research will test the potential of a system capable of generating an alerts for the possibility of non-compliance based on known data at the time of application or at key moments in the project's monitoring. This alert should be substantiated according to the studied variables that are directly involved in this result, in order to support a properly informed decision.
Internal Partners
Research Centre | Research Group | Role in Project | Begin Date | End Date |
---|---|---|---|---|
ISTAR-Iscte | Systems Computational Modelling | Partner | 2022-02-01 | 2023-01-31 |
CIES-Iscte | -- | Partner | 2022-02-01 | 2023-01-31 |
External Partners
No records found.
Project Team
Name | Affiliation | Role in Project | Begin Date | End Date |
---|---|---|---|---|
Luís Nunes | Professor Associado (DCTI); Integrated Researcher (ISTAR-Iscte); | Global Coordinator | 2022-02-01 | 2023-01-31 |
Alberto Vilas | -- | Researcher | 2022-02-01 | 2023-01-31 |
Ana de Almeida | Professora Associada (DCTI); Integrated Researcher (ISTAR-Iscte); | Researcher | 2022-02-01 | 2023-01-31 |
Diana Mendes | -- | Researcher | 2022-02-01 | 2023-01-31 |
Elsa Cardoso | Professora Associada (DCTI); Integrated Researcher (CIES-Iscte); | Researcher | 2022-02-01 | 2023-01-31 |
Susana Ribeiro Fernandes | Research Assistant (ISTAR-Iscte); | Researcher | 2022-02-01 | 2023-01-31 |
Project Fundings
Reference/Code | Funding DOI | Funding Type | Funding Program | Funding Amount (Global) | Funding Amount (Local) | Begin Date | End Date |
---|---|---|---|---|---|---|---|
POAT-01-6177-FEDER-000059 | -- | Award | P2020 - P2020 - Portugal | 79203.82 | 79203.82 | 2022-02-01 | 2023-01-31 |
Publication Outputs
Year | Publication Type | Full Reference |
---|---|---|
2024 | Scientific journal paper | Martins, T., de Almeida, A., Cardoso, E. & Nunes, L. (2024). Explainable artificial intelligence (XAI): A systematic literature review on taxonomies and applications in finance. IEEE Access. 12, 618-629 |
Related Research Data Records
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Related References in the Media
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Other Outputs
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Project Files
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