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C&EN5d
Incorporating Explicit Water Molecules and Ligand Conformation Stability in Machine-Learning Scoring Functions
Department of Chemistry, New York University, New York, New York 10003, United States Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of ...
IEEE10d
A Dual-Perspective Spatiotemporal Fusion Model for Remote Sensing Images by Discriminative Learning of the Spatial and Temporal Mapping
Abstract: Spatiotemporal fusion (STF) has received widespread attention as a cost-effective solution to the spatiotemporal conflicts in remote sensing images. Massive efforts have been made in the ...
UCL17d
Computational Statistics and Machine Learning MSc - Virtual Open Day
Deepen your expertise in machine learning and statistics through one of the most established Master’s programmes in this field. The Computational Statistics and Machine Learning MSc brings together ...
IEEE20d
Physics-Informed Machine Learning Based Edge Detection for SEM Images
Abstract: The Scanning Electron Microscope (SEM) images of Random Access Memory (RAM ... neural network architecture and incorporates a hierarchical weighted loss function. Based on the real-world SEM ...
Hosted on MSN25d
Linear Regression Cost Function | Machine Learning | Explained Simply
Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...
bjo.bmj28d
Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images
Aims Automated machine learning (AutoML ... RP and RD in UWF images with very good diagnostic accuracy. The performance was comparable to bespoke deep-learning models derived by AI experts for RVO and ...