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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Accurate and interpretabl" (30 stories)

Search-guided regression ensembles for accurate, interpretable, and uncertainty-aware construction cost estimation

Lead StoryNaturetech

May 11

Search-guided regression ensembles for accurate, interpretable, and uncertainty-aware construction cost estimation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAzcEk5UjJlWmVLSjdUbnlIVnM4U0FRVW1OOG5xS25uYk9PNDJDeF9HV21pRk8wOXFmbGsxTFFKNkFjb2lLRVBEOFhCLXpKVUFEQ09yQmpaYlhhRTVwS004?oc=5" target="_blank">Search-guided regression ensembles for accurate, interpretable, and uncertainty-aware construction cost estimation</a>&nbsp;&nbsp;Nature

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Interpretable AI improves accuracy and transparency in genomic prediction

EurekAlert! Science News Releasestech

Apr 7

Interpretable AI improves accuracy and transparency in genomic prediction

<a href="https://news.google.com/rss/articles/CBMiXEFVX3lxTE9jTGg0emVFVHcyV3B2T1ZUcTNvV1lwOFVBalZCNHYtR011Tzh1VkVxZTI0Rnk1NkxfYUR3TE9PVlJDQ2NHQXFubWMtdlBuRzZ6OExYLUF6cFpMVDlp?oc=5" target="_blank">Interpretable AI improves accuracy and transparency in genomic prediction</a>&nbsp;&nbsp;EurekAlert! Science News Releases

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Search-guided regression ensembles for accurate, interpretable, and uncertainty-aware construction cost estimation

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Search Results for "Accurate and interpretabl"

Interpretable AI improves accuracy and transparency in genomic prediction

Interpretable machine learning enables early and accurate detection of drug-induced liver injury: A multicenter study with real-world clinical translation

The Trust-Aware XAI (TAXAI) framework: a quantitative model for interpretable and reliable clinical AI systems

MangoLeafNet-XAI: an attention-enhanced deep learning architecture for accurate and interpretable mango leaf disease classification

Towards accurate and interpretable competency-based assessment: enhancing clinical competency assessment through multimodal AI and anomaly detection

A multiplicative additive bias variational framework for accurate and interpretable brain MRI segmentation in cloud-based medical imaging systems

Accurate and interpretable prediction of chemical oxygen demand using explainable boosting algorithms with SHAP analysis | Scientific Reports

A multimodal explainable artificial intelligence framework for interpretable Parkinson’s disease prediction

Multimodal interpretable deep learning for transcriptome-informed precision oncology and drug mechanism analysis

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

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

Enhancing crop yield prediction accuracy with a novel interpretable deep learning model: MHCNN-LSTM-MHA

Physically interpretable interatomic potentials via symbolic regression and reinforcement learning

Interpretable multiple instance learning for hematologic diagnosis from peripheral blood smears

Interpretable deep learning models for independent fertilizer and crop recommendation

CASSIA: a multi-agent large language model for automated and interpretable cell annotation

An interpretable deep learning model for predicting endometrial cancer molecular subtypes from H&amp;E-stained slides

Integrating quantile regression with ARIMA and ANN for interpretable and accurate PM2.5 forecasting in Hat Yai, Thailand

Interpretable ensemble learning for materials property prediction with classical interatomic potentials

An interpretable statistical approach to photovoltaic power forecasting using factor analysis and ridge regression

Interpretable or Accurate? Why Not Both?

An interpretable machine learning approach based on SHAP, Sobol and LIME values for precise estimation of daily soybean crop coefficients

Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection

Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI

Explainable machine learning by SEE-Net: closing the gap between interpretable models and DNNs

Translating black-box medical AI models into interpretable global decision logic

Learning Accurate and Interpretable Decision Rule Sets from Neural Networks

An interpretable deep learning model for the accurate prediction of mean fragmentation size in blasting operations

Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection

An interpretable deep learning model for predicting endometrial cancer molecular subtypes from H&E-stained slides