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Recent advances in describing and driving crystal nucleation using machine learning and artificial intelligence

Recent advances in describing and driving crystal nucleation using machine learning and artificial intelligence

Machine Learning for Predicting Clinician Approval of Treatment Plans for Left-Sided Whole Breast Radiation Therapy

Machine Learning for Predicting Clinician Approval of Treatment Plans for Left-Sided Whole Breast Radiation Therapy

Drug Target Interaction Prediction Using Machine Learning Techniques - A Review

Drug Target Interaction Prediction Using Machine Learning Techniques - A Review

Stakeholders’ impact on the reuse potential of structural elements at the end-of-life of a building - A machine learning approach

Stakeholders’ impact on the reuse potential of structural elements at the end-of-life of a building - A machine learning approach

Comparing Single and Multiple Imputation Approaches for Missing Values in Univariate and Multivariate Water Level Data - Article

Comparing Single and Multiple Imputation Approaches for Missing Values in Univariate and Multivariate Water Level Data - Article

Estimation of Tomato Water Status with Photochemical Reflectance Index and Machine Learning - Assessment from Proximal Sensors and UAV Imagery

Estimation of Tomato Water Status with Photochemical Reflectance Index and Machine Learning - Assessment from Proximal Sensors and UAV Imagery

Forecast of lacustrine shale lithofacies types in continental rift basins based on machine learning - case study from Dongying Sag, Jiyang Depression, Bohai Bay Basin, China

Forecast of lacustrine shale lithofacies types in continental rift basins based on machine learning - case study from Dongying Sag, Jiyang Depression, Bohai Bay Basin, China

Quantum Natural Policy Gradients - Towards Sample-Efficient Reinforcement Learning

Quantum Natural Policy Gradients - Towards Sample-Efficient Reinforcement Learning

Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states - Paper

Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states - Paper

Towards Understanding Fairness and its Composition in Ensemble Machine Learning - Paper

Towards Understanding Fairness and its Composition in Ensemble Machine Learning - Paper

Bayesian averaging for ground state masses of atomic nuclei - Machine Learning approach

Bayesian averaging for ground state masses of atomic nuclei - Machine Learning approach

Interpretable & Explainable Machine Learning for Ultrasonic Defect Sizing - accepted author manuscript (AAM)

Interpretable & Explainable Machine Learning for Ultrasonic Defect Sizing - accepted author manuscript (AAM)

Graph-Based Machine Learning Improves Just-in-Time Defect Prediction

Graph-Based Machine Learning Improves Just-in-Time Defect Prediction

Clustering and machine learning-based integration identify cancer-associated fibroblasts genes’ signature in head and neck squamous cell carcinoma

Clustering and machine learning-based integration identify cancer-associated fibroblasts genes’ signature in head and neck squamous cell carcinoma

Using unsupervised machine learning to quantify physical activity from accelerometry in a diverse and rapidly changing population

Using unsupervised machine learning to quantify physical activity from accelerometry in a diverse and rapidly changing population