36 citations · 70 across the 7 of their papers we have counts for
Showing cond-mat.otherShow all
3 papers · 1 filter
cond-mat.other2023★ 9 cited
Classification-based detection and quantification of cross-domain data bias in materials discovery
Giovanni Trezza, Eliodoro Chiavazzo
It stands to reason that the amount and the quality of data is of key importance for setting up accurate AI-driven models. Among others, a fundamental aspect to consider is the bia…
cond-mat.other2023★ 7 cited
Leveraging Composition-Based Material Descriptors for Machine Learning Optimization
Giovanni Trezza, Eliodoro Chiavazzo
In this study, we evaluate several classifiers and focus on selecting a minimal set of appropriate material features. Our objective is to propose and discuss general strategies for…
cond-mat.other2021★ 36 cited
Minimal set of crystallographic descriptors for sorption properties in hypothetical Metal Organic Frameworks: Role in sequential learning optimization
Giovanni Trezza, Luca Bergamasco, Matteo Fasano +1
Several studies have been recently reported in the literature on sorption properties of MOFs with a number of organic sorbates, such as ethanol and methanol. Surprisingly, still fe…