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Chemical machine learning with kernels: The key impact of loss functions

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Chemical machine learning with kernels: The key impact of loss functions

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Multivariate time series forecasting for freeway networks

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

A Machine Learning-based Framework for Forecasting Sales of New Products With Short Life Cycles Using Deep Neural Networks

Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast

Population pharmacokinetic model selection assisted by machine learning

Discrete-Choice Mining of Social Processes

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval (R) thermal analysis (PARTY(SOC)v2.0 and PARTY(SOC)v2.0 (EU))

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Physics-informed machine learning for reduced-order modeling of nonlinear problems