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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "An interpretable hybrid p" (30 stories)

Interpretable hybrid ensemble with attention-based fusion and EAOO-GA optimization for lung cancer detection

Lead StoryNatureworld

Mar 3

Interpretable hybrid ensemble with attention-based fusion and EAOO-GA optimization for lung cancer detection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0zalpCbUNPWjZycTk0MlJvT1lycjJCZ0ZvNnlKRy1HY1BTQ2QycTFORTdObGlNWlJuYmJ4enl5YldNU3FyUVZfYm1yU3BLZExsM085TVVEbk1qYzJfMGVJ?oc=5" target="_blank">Interpretable hybrid ensemble with attention-based fusion and EAOO-GA optimization for lung cancer detection</a>&nbsp;&nbsp;Nature

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Search Results for "An interpretable hybrid p"

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Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis

Naturetech

Aug 3

Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE94Z0c0Q2NNNjlBQjVJNWpCUVlVNEZWMTFOSTE1VjRuVFVXRDJBd3ptNURJeThZR0xyXzAwdExXTkVESFNtazkyRFNpUk1XSlBqVUEzQi1YS2NmQVVjMlAw?oc=5" target="_blank">Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis</a>&nbsp;&nbsp;Nature

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Interpretable hybrid ensemble with attention-based fusion and EAOO-GA optimization for lung cancer detection

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Search Results for "An interpretable hybrid p"

Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis

Hybrid transformer–fuzzy framework for interpretable sentiment classification in deepfake social media content

Explainable AI-enabled hybrid deep learning architecture for breast cancer detection

Interpretable ESG–sentiment hybrid deep learning for asset return forecasting with quantified interactions and latency-aware deployment | Scientific Reports

A hybrid framework of feature selection and interpretability for dissolved oxygen prediction in drinking water treatment plants

DermaScanAI an explainable hybrid deep learning framework for automated skin lesion classification using dual attention and metadata fusion

Deep learning framework with interpretable feature selection for accurate SUMOylation site prediction

An interpretable hybrid deep learning framework for gastric cancer diagnosis using histopathological imaging

An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM

Interpretable QSAR models for acute oral toxicity via tuned XGBoost and hybrid data sampling techniques

A hybrid approach for citrus disease detection using convolutional neural networks and fuzzy inference systems for enhanced accuracy and interpretability

An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images

Prediction of soil shear strength using hybrid machine learning approaches for performance and interpretability analysis

A multi-scale hybrid ResNet–transformer with distance-aware learning for interpretable BI-RADS mammographic classification

Climate-aware hybrid Kolmogorov–Arnold networks for interpretable solar radiation forecasting

A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets

A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals

An interpretable hydrodynamic intelligence framework for underwater species detection using biomimetic sensing and hybrid deep learning models

Optimized deep learning for brain tumor detection: a hybrid approach with attention mechanisms and clinical explainability

A hybrid spatial–frequency attention-based algorithm using efficientnet for robust and interpretable deepfake detection

Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques

Lifestyle data-based multiclass obesity prediction with interpretable ensemble models incorporating SHAP and LIME analysis

Accelerating supercritical pharmaceutical formulation via interpretable data-driven prediction of drug solubility

Predicting cardiovascular risk with hybrid ensemble learning and explainable AI

An interpretable online prediction method for remaining useful life of lithium-ion batteries

Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction

Enhancing financial risk prediction with symbolic classifiers: addressing class imbalance and the accuracy–interpretability trade–off

A hybrid support vector machine and neural network model with fuzzy logic fusion for smart city traffic prediction

Human interpretable structure-property relationships in chemistry using explainable machine learning and large language models