Advanced tree-based machine learning methods for predicting the seismic response of regular and irregular RC frames

7 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

1. 2025 CatGrass: a feature engineering framework to forecast the seismic response of low-rise RC frames using CatBoost algorithm integrated with grasshopper optimizationCitations 4 · OpenAlex
2. 2025 CatGrass: a feature engineering framework to forecast the seismic response of low-rise RC frames using CatBoost algorithm integrated with grasshopper optimizationCitations 4 · OpenAlex
3. 2025 FastLSM-AutoML: Fast, reliable, and robust end-to-end AutoML tool for producing a landslide susceptibility mapCitations 4 · OpenAlex
4. 2025 CatGrass: a feature engineering framework to forecast the seismic response of low-rise RC frames using CatBoost algorithm integrated with grasshopper optimizationCitations 4 · OpenAlex
5. 2025 Machine Learning Based Prediction of Peak Floor Acceleration in Low- to Mid-Rise RC Buildings Using Ground Motion Intensity MeasuresCitations 1 · OpenAlex
6. 2025 Machine Learning Based Prediction of Peak Floor Acceleration in Low- to Mid-Rise RC Buildings Using Ground Motion Intensity MeasuresCitations 1 · OpenAlex
7. 2025 Machine Learning Based Prediction of Peak Floor Acceleration in Low- to Mid-Rise RC Buildings Using Ground Motion Intensity MeasuresCitations 1 · OpenAlex