Polyoxometalate thermochemistry is often limited by the high cost of DFT vibrational frequency calculations. POMs‐GibbsNet uses molecular structure, electronic, and QTAIM descriptors to predict thermal Gibbs free‐energy corrections without calculating the Hessian.
Jordi Buils, Carles Bo, David Balcells
wiley +1 more source
BAYESIAN EMPIRICAL LIKELIHOOD FOR ULTRA-HIGH DIMENSIONAL VARIABLE SELECTION WITH APPLICATION TO DRUG SENSITIVITY. [PDF]
Xu C +5 more
europepmc +1 more source
Low-Rank Variational Correction Estimation for Multi-Source Heterogeneous Quantile Linear Regression Models. [PDF]
Li H, Luo L, Wang M, Tang N.
europepmc +1 more source
Bayesian variable selection in sample selection models using spike-and-slab priors. [PDF]
Iqbal AJ, Ogundimu EO, Rubio FJ.
europepmc +1 more source
Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility. [PDF]
Abu-Hamdeh NH, Ajour MN.
europepmc +1 more source
Benchmarking Sparse Variable Selection Methods for Genomic Data Analyses. [PDF]
Kollipara HSS +3 more
europepmc +1 more source
A pre-train and fine-tune framework for adaptive boosting of pre-trained polygenic risk scores. [PDF]
Hu J +18 more
europepmc +1 more source
An Introduction to Stochastic Deep Learning. [PDF]
Liang F.
europepmc +1 more source
Analysis of Health-Related Quality of Life in Multiple Sclerosis: A Bayesian Quantile LASSO Approach. [PDF]
Lu X, Li J, Aparasu RR, Wu C.
europepmc +1 more source
An intelligent weighted adaptive regression process for reliable and uncertainty aware drought forecasting. [PDF]
Jia H +3 more
europepmc +1 more source

