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Publications (6)
- SVM–XGBoost Geometric–Gradient Architecture (SXGA): A Robust and Interpretable Hybrid Framework for Classification of Psychological Constructs Using DASS-21, SWLS, and BFI-10. Save
- A novel computational intelligence model using improvised feature selection for Parkinson’s disease classification Save
- A fine-tuned adaptive weight deep dense meta stacked transfer learning model for effective cervical cancer prediction Save
- Comparative evaluation of deep dense sequential and deep dense transfer learning models for suicidal emotion prediction Save
- Performance evaluation of learning models for intrusion detection system using feature selection Save
- A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data Save