VLDB 2026 Research / reviewers in the wild / expert
Panagiotis G. Asteris
dblp:179/4388
· DBLP profile ↗
14ranked-venue papers
7as first author
10since 2021 · last 2024
0000-0002-7142-4981ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 14 · 7 first-author · 10 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels
Abidhan Bardhan, Nazli Tunar Ozcan, Panagiotis G. Asteris, Candan Gokceoglu |
Eng. Appl. Artif. Intell. | 3 |
| 2024 | AI-powered GUI for prediction of axial compression capacity in concrete-filled steel tube columns
Panagiotis G. Asteris, Konstantinos Daniel Tsavdaridis, Minas E. Lemonis, Felipe Piana Vendramell Ferreira, Tien-Thinh Le 0001, Charis J. Gantes, Antonio Formisano |
Neural Comput. Appl. | 1 |
| 2023 | Soft computing technics to predict the early-age compressive strength of flowable ordinary Portland cement
Wael Mahmood, Ahmed Salih Mohammed, Panagiotis G. Asteris, Hawreen Ahmed |
Soft Comput. | 3 |
| 2022 | A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index
Maryam Parsajoo, Danial Jahed Armaghani, Panagiotis G. Asteris |
Neural Comput. Appl. | 3 |
| 2021 | A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
Danial Jahed Armaghani, Panagiotis G. Asteris |
Neural Comput. Appl. | 2 |
| 2021 | Prediction of cement-based mortars compressive strength using machine learning techniques
Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Evgenios A. Kotsonis, Paulo B. Lourenço |
Neural Comput. Appl. | 1 |
| 2021 | TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm
Hooman Harandizadeh, Danial Jahed Armaghani, Panagiotis G. Asteris, Amir Hossein Gandomi |
Neural Comput. Appl. | 3 |
| 2021 | Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models
Hai-Bang Ly, Binh Thai Pham, Lu Minh Le, Tien-Thinh Le 0001, Vuong Minh Le, Panagiotis G. Asteris |
Neural Comput. Appl. | 6 |
| 2021 | Surrogate models for the compressive strength mapping of cement mortar materials
Panagiotis G. Asteris, Liborio Cavaleri, Hai-Bang Ly, Binh Thai Pham |
Soft Comput. | 1 |
| 2021 | A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass
Zimu Li, Behnam Yazdani Bejarbaneh, Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, Mahmood M. D. Tahir |
Soft Comput. | 3 |
| 2020 | Concrete compressive strength using artificial neural networks
Panagiotis G. Asteris, Vaseilios G. Mokos |
Neural Comput. Appl. | 1 |
| 2019 | Self-compacting concrete strength prediction using surrogate models
Panagiotis G. Asteris, Konstantinos G. Kolovos |
Neural Comput. Appl. | 1 |
| 2019 | Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures
Panagiotis G. Asteris, Mehdi Nikoo |
Neural Comput. Appl. | 1 |
| 2017 | Anisotropic masonry failure criterion using artificial neural networks
Panagiotis G. Asteris, Vagelis Plevris |
Neural Comput. Appl. | 1 |