• A Novel Correlation-Based CUR Matrix Decomposition Method
  • Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
  • Modeling of particle sizes for industrial HPGR products by a unique explainable AI tool- A “Conscious Lab” development
  • Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and SHAP-A “conscious-lab” development
  • Prediction of uniaxial compressive strength and modulus of elasticity for Travertine samples using an explainable artificial intelligence
  • Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM
  • COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
  • Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
  • Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a "conscious lab" approach
  • Semantic schema based genetic programming for symbolic regression
  • MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
  • Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
  • Modeling coking coal indexes by SHAP-XGBoost: Explainable artificial intelligence method
  • Modeling operational cement rotary kiln variables with explainable artificial intelligence methods – a “conscious lab” development

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