Y Sun, Y Chen, X Wang, X Tang - Advances in neural …, 2014 - proceedings.neurips.cc
… deeplearning and using both face identification and verification signals as supervision. The DeepIDentification-verification features (DeepID2) are learned with carefully designed deep …
… Bengio, 2011: Domain Adaptation for large-scale sentiment classification: A deeplearning approach. Proceedings of the 28th International Conference on Machine Learning, L. Getoor …
… a successful application of deeplearning to the area of agriculture, specifically to plant identification … of the art processing pipeline with a deep convolutional network. The main result is …
S Christin, É Hervet, N Lecomte - Methods in Ecology and …, 2019 - Wiley Online Library
… that deeplearning has been used successfully to identify species, … This review shows that the flexibility of deeplearning can … We identify common challenges and provide answers and …
X Zeng, S Zhu, W Lu, Z Liu, J Huang, Y Zhou… - Chemical …, 2020 - pubs.rsc.org
… , a deeplearning methodology for new target identification … curve = 0.963) in identifying novel molecular targets for known … -based deeplearning methodology for target identification to …
… The widely studied closed-world setting is usually applied under various researchoriented assumptions, and has achieved inspiring success using deeplearning techniques on a …
… deeplearning in the field of biometrics, given its success in other domains. Since biometrics deals with identifying … supervised learning and can leverage the success of deeplearning in …
… for parametric studies and parameter identification problems. As an … First of all, parameter identification problems are inverse … However, we will highlight some of those successful but …
… label-free bacterial detection, identification, and antibiotic … and apply deeplearning approaches to accurately identify 30 … 82% and antibiotic treatment identification accuracies of 97.0±…