14 citations · 16 across the 5 of their papers we have counts for
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cs.LG2019★ 2 cited
POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network
Danli Wu, Yu Cheng, Dehan Luo +3
Predicting odor's pleasantness simplifies the evaluation of odors and has the potential to be applied in perfumes and environmental monitoring industry. Classical algorithms for pr…
cs.LG2018★ 14 cited
Deep Nearest Class Mean Model for Incremental Odor Classification
Yu Cheng, Angus Wong, Kevin Hung +3
In recent years, more machine learning algorithms have been applied to odor classification. These odor classification algorithms usually assume that the training datasets are stati…