| Data | Título | Autor(es) | Tipo | Acesso |
| 2022 | Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks | Asteris, Panagiotis G.; Gavriilaki, Eleni; Touloumenidou, Tasoula, et al. | Artigo | Acesso aberto |
| 2020 | Mapping and holistic design of natural hydraulic lime mortars | Apostolopoulou, Maria; Asteris, Panagiotis G.; Armaghani, Danial J., et al. | Artigo | Acesso restrito UMinho |
| 2019 | Masonry compressive strength prediction using artificial neural networks | Asteris, Panagiotis G.; Argyropoulos, Ioannis; Cavaleri, Liborio, et al. | Artigo em ata de conferência | Acesso aberto |
| 2021 | Prediction of cement-based mortars compressive strength using machine learning techniques | Asteris, Panagiotis G.; Koopialipoor, Mohammadreza; Armaghani, Danial J., et al. | Artigo | Acesso restrito UMinho |
| 22-Jan-2022 | Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques | Asteris, Panagiotis G.; Lourenço, Paulo B.; Roussis, Panayiotis C., et al. | Artigo | Acesso restrito UMinho |
| 2023 | Seismic risk scenario for the historical centre of castelpoto in Southern Italy | Formisano, Antonio; Chieffo, Nicola; Asteris, Panagiotis G., et al. | Artigo | Acesso restrito UMinho |
| 2021 | Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests | Asteris, Panagiotis G.; Skentou, Athanasia D.; Bardhan, Abidhan, et al. | Artigo | Acesso restrito UMinho |
| 5-Out-2021 | Soft computing-based models for the prediction of masonry compressive strength | Asteris, Panagiotis G.; Lourenço, Paulo B.; Hajihassani, Mohsen, et al. | Artigo | Acesso aberto |
