Bayesian optimization in high-dimensional spaces: A brief survey
Bayesian optimization (BO) has been widely applied to several modern science and
engineering applications such as machine learning, neural networks, robotics, aerospace …
engineering applications such as machine learning, neural networks, robotics, aerospace …
Machine learning-assisted QSAR models on contaminant reactivity toward four oxidants: combining small data sets and knowledge transfer
To develop predictive models for the reactivity of organic contaminants toward four
oxidants─ SO4•–, HClO, O3, and ClO2─ all with small sample sizes, we proposed two …
oxidants─ SO4•–, HClO, O3, and ClO2─ all with small sample sizes, we proposed two …
Prediction of photochemical properties of dissolved organic matter using machine learning
Z Liao, J Lu, K Xie, Y Wang, Y Yuan - Environmental Science & …, 2023 - ACS Publications
Apparent quantum yields (Φ) of photochemically produced reactive intermediates (PPRIs)
formed by dissolved organic matter (DOM) are vital to element cycles and contaminant fates …
formed by dissolved organic matter (DOM) are vital to element cycles and contaminant fates …
Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation
This study utilizes the support vector regression (SVR) model to predict the tunnel crown
displacement (TCD) induced by the blasting excavation. 95 blasting operations considering …
displacement (TCD) induced by the blasting excavation. 95 blasting operations considering …
Shedding light on “Black Box” machine learning models for predicting the reactivity of HO radicals toward organic compounds
Developing quantitative structure-activity relationships (QSARs) is an important approach to
predicting the reactivity of HO radicals toward newly emerged organic compounds. As …
predicting the reactivity of HO radicals toward newly emerged organic compounds. As …
A goal scoring probability model for shots based on synchronized positional and event data in football (soccer)
G Anzer, P Bauer - Frontiers in sports and active living, 2021 - frontiersin.org
Due to the low scoring nature of football (soccer), shots are often used as a proxy to evaluate
team and player performances. However, not all shots are created equally and their quality …
team and player performances. However, not all shots are created equally and their quality …
Learning reduced-order models for cardiovascular simulations with graph neural networks
L Pegolotti, MR Pfaller, NL Rubio, K Ding… - Computers in Biology …, 2024 - Elsevier
Reduced-order models based on physics are a popular choice in cardiovascular modeling
due to their efficiency, but they may experience loss in accuracy when working with …
due to their efficiency, but they may experience loss in accuracy when working with …
Pulmonary COVID-19: learning spatiotemporal features combining CNN and LSTM networks for lung ultrasound video classification
B Barros, P Lacerda, C Albuquerque, A Conci - Sensors, 2021 - mdpi.com
Deep Learning is a very active and important area for building Computer-Aided Diagnosis
(CAD) applications. This work aims to present a hybrid model to classify lung ultrasound …
(CAD) applications. This work aims to present a hybrid model to classify lung ultrasound …
A comparative study of hyper-parameter optimization tools
Most of the machine learning models have associated hyper-parameters along with their
parameters. While the algorithm gives the solution for parameters, its utility for model …
parameters. While the algorithm gives the solution for parameters, its utility for model …
Molecular fingerprint-based machine learning assisted QSAR model development for prediction of ionic liquid properties
Y Ding, M Chen, C Guo, P Zhang, J Wang - Journal of Molecular Liquids, 2021 - Elsevier
Ionic liquids (ILs) have many applications in, for example, organic synthesis, batteries and
drug delivery. In this study, molecular fingerprint (MF) was used to represent ionic liquids …
drug delivery. In this study, molecular fingerprint (MF) was used to represent ionic liquids …