Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.07.097
Abstract: Abstract The success of Artificial Intelligence at solving real-world problems poses the need for interpretable models, especially in human-centered applications. The multi-class scenario is often present in these environments; however, the majority of research on… read more here.
Keywords: class models; control nested; interpretable multi; class ... See more keywords
Interpretable Multi-Modal Stacking-Based Ensemble Learning Method for Real Estate Appraisal
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3126153
Abstract: With the development of online real estate trading platforms, multi-modal housing trading data, including structural information, location, and interior image data, are being accumulated. The accurate appraisal of real estate makes sense for government officials,… read more here.
Keywords: estate; multi modal; modal stacking; real estate ... See more keywords
Multi-PLI: interpretable multi‐task deep learning model for unifying protein–ligand interaction datasets
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Cheminformatics"
DOI: 10.1186/s13321-021-00510-6
Abstract: The assessment of protein–ligand interactions is critical at early stage of drug discovery. Computational approaches for efficiently predicting such interactions facilitate drug development. Recently, methods based on deep learning, including structure- and sequence-based models, have… read more here.
Keywords: multi task; deep learning; model; interpretable multi ... See more keywords