2 papers
cs.LG2026
Machine learning model for predicting surface wettability in laser-textured metal alloys
Mohammad Mohammadzadeh Sanandaji, Danial Ebrahimzadeh, Mohammad Ikram Haider +3
Surface wettability, governed by both topography and chemistry, plays a critical role in applications such as heat transfer, lubrication, microfluidics, and surface coatings. In th…
cs.LG2024
Fast Dual-Regularized Autoencoder for Sparse Biological Data
Aleksandar Poleksic
Relationship inference from sparse data is an important task with applications ranging from product recommendation to drug discovery. A recently proposed linear model for sparse ma…