Ioannis Karampinis

According to our database, Ioannis Karampinis authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Neural Operators for Power Systems: A Physics-Informed Framework for Modeling Power System Components.

Ioannis Karampinis, Petros Ellinas, Johanna Vorwerk, Spyros Chatzivasileiadis

CoRR, November, 2025

Toolbox for Developing Physics Informed Neural Networks for Power Systems Components.

Ioannis Karampinis, Petros Ellinas, Ignasi Ventura Nadal, Rahul Nellikkath, Spyros Chatzivasileiadis

CoRR, February, 2025

Maximum Interstory Drift Ratio (MIDR) Equations for R/C Buildings Using Machine Learning Procedures.

Ioannis Karampinis, Konstantinos Morfidis, Konstantinos Kostinakis, Lazaros S. Iliadis

Proceedings of the Engineering Applications of Neural Networks, 2025

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

Proceedings of the Artificial Intelligence Applications and Innovations, 2025

2024

Machine Learning Ensemble Methodologies for the Prediction of the Failure Mode of Reinforced Concrete Beam-Column Joints.

Martha Karabini, Ioannis Karampinis, Theodoros Rousakis, Lazaros S. Iliadis, Athanasios Karabinis

Inf., 2024

An Algorithm for Producing Fuzzy Implications via Conical Sections.

Ioannis Karampinis, Georgios Souliotis, Basil K. Papadopoulos, Athanasios Karabinis

Algorithms, 2024

2023

A Machine Learning Approach for Seismic Vulnerability Ranking.

Ioannis Karampinis, Lazaros Iliadis

Proceedings of the Engineering Applications of Neural Networks, 2023