Seismic parameters' combinations for the optimum prediction of the damage state of R/C buildings using neural networks. - Konstantinos Morfidis; Konstantinos Kostinakis (Adv. Eng. Softw., 2017)

A Comparative Evaluation of Machine Learning Algorithms for the Prediction of R/C Buildings' Seismic Damage. - Konstantinos Demertzis; Konstantinos Kostinakis; Konstantinos Morfidis; Lazaros Iliadis 001 (CoRR, 2022)

Classification of Buildings' Potential for Seismic Damage by Means of Artificial Intelligence Techniques. - Konstantinos Kostinakis; Konstantinos Morfidis; Konstantinos Demertzis; Lazaros Iliadis 001 (CoRR, 2022)

Machine Learning Modeling of the Impact of Masonry Infills' In-Plan Irregularities' on the R/C Buildings' Damage Response. - Ioannis Karampinis; Konstantinos Kostinakis; Konstantinos Morfidis; Lazaros S. Iliadis; Anastasios Panagiotis Psathas (AIAI (2), 2025)

Maximum Interstory Drift Ratio (MIDR) Equations for R/C Buildings Using Machine Learning Procedures. - Ioannis Karampinis; Konstantinos Morfidis; Konstantinos Kostinakis; Lazaros S. Iliadis (EANN (1), 2025)