| Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models PG Asteris, AD Skentou, A Bardhan, P Samui, K Pilakoutas Cement and Concrete Research 145, 106449, 2021 | 432 | 2021 |
| Soft computing-based techniques for concrete beams shear strength DJ Armaghani, GD Hatzigeorgiou, C Karamani, A Skentou, I Zoumpoulaki, ... Procedia Structural Integrity 17, 924-933, 2019 | 159 | 2019 |
| Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars PG Asteris, M Apostolopoulou, AD Skentou, A Moropoulou Computers and Concrete 24 (4), 329-345, 2019 | 120 | 2019 |
| Soft computing-based models for the prediction of masonry compressive strength PG Asteris, PB Lourenço, M Hajihassani, CEN Adami, ME Lemonis, ... Engineering structures 248, 113276, 2021 | 112 | 2021 |
| Stochastic vulnerability assessment of masonry structures: concepts, modeling and restoration aspects PG Asteris, A Moropoulou, AD Skentou, M Apostolopoulou, A Mohebkhah, ... Applied Sciences 9 (2), 243, 2019 | 112 | 2019 |
| Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests PG Asteris, AD Skentou, A Bardhan, P Samui, PB Lourenço Construction and Building Materials 303, 124450, 2021 | 97 | 2021 |
| Predicting the unconfined compressive strength of granite using only two non-destructive test indexes DJ Armaghani, A Mamou, C Maraveas, PC Roussis, VG Siorikis, ... Geomech. Eng 25 (4), 317-330, 2021 | 89 | 2021 |
| Closed-form equation for estimating unconfined compressive strength of granite from three non-destructive tests using soft computing models AD Skentou, A Bardhan, A Mamou, ME Lemonis, G Kumar, P Samui, ... Rock Mechanics and Rock Engineering 56 (1), 487-514, 2023 | 87 | 2023 |
| A novel heuristic algorithm for the modeling and risk assessment of the COVID-19 pandemic phenomenon PG Asteris, MG Douvika, CA Karamani, AD Skentou, K Chlichlia, ... Computer Modeling in Engineering & Sciences 125 (2), 815-828, 2020 | 86 | 2020 |
| Prediction of surface treatment effects on the tribological performance of tool steels using artificial neural networks L Cavaleri, PG Asteris, PP Psyllaki, MG Douvika, AD Skentou, ... Applied Sciences 9 (14), 2788, 2019 | 80 | 2019 |
| Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks PG Asteris, E Gavriilaki, T Touloumenidou, EE Koravou, M Koutra, ... Journal of cellular and molecular medicine 26 (5), 1445-1455, 2022 | 71 | 2022 |
| Rock-burst occurrence prediction based on optimized Naïve Bayes models B Ke, M Khandelwal, PG Asteris, AD Skentou, A Mamou, DJ Armaghani Ieee Access 9, 91347-91360, 2021 | 48 | 2021 |
| Predicting uniaxial compressive strength of rocks using ANN models: incorporating porosity, compressional wave velocity, and schmidt hammer data PG Asteris, M Karoglou, AD Skentou, G Vasconcelos, M He, A Bakolas, ... Ultrasonics 141, 107347, 2024 | 46 | 2024 |
| Novel fuzzy-based optimization approaches for the prediction of ultimate axial load of circular concrete-filled steel tubes J Liao, PG Asteris, L Cavaleri, AS Mohammed, ME Lemonis, ... Buildings 11 (12), 629, 2021 | 44 | 2021 |
| Correlating the unconfined compressive strength of rock with the compressional wave velocity effective porosity and schmidt hammer rebound number using artificial neural networks TT Le, AD Skentou, A Mamou, PG Asteris Rock Mechanics and Rock Engineering 55 (11), 6805-6840, 2022 | 38 | 2022 |
| Genetic justification of COVID‐19 patient outcomes using DERGA, a novel data ensemble refinement greedy algorithm PG Asteris, AH Gandomi, DJ Armaghani, MZ Tsoukalas, E Gavriilaki, ... Journal of Cellular and Molecular Medicine 28 (4), e18105, 2024 | 16 | 2024 |
| A novel heuristic global algorithm to predict the COVID-19 pandemic trend PG Asteris, M Douvika, C Karamani, A Skentou, T Daras, L Cavaleri, ... MedRxiv, 2020.04. 16.20068445, 2020 | 4 | 2020 |
| Prediction of mechanical characteristics of soilcrete materials using artificial neural networks PG Asteris, A Alexandridis, KG Kolovos, EG Anesti, MG Douvika, ... | 4 | 2017 |
| Deep neural networks for the estimation of granite materials’ compressive strength using non-destructive indices DJ Armaghani, AD Skentou, M Izadpanah, M Karoglou, M Khandelwal, ... Applications of Artificial Intelligence in Mining and Geotechnical …, 2024 | 3 | 2024 |
| Assessment of masonry structures based on analytical damage indices A Skentou, MG Douvika, I Argyropoulos, M Apostolopoulou, ... Transdisciplinary Multispectral Modeling and Cooperation for the …, 2019 | 3 | 2019 |
Panagiotis G. AsterisProfessor, School of Pedagogical and Technological Education, Athens, GreeceVahvistettu sähköpostiosoite verkkotunnuksessa aspete.gr