Personalized prediction of genes with tumor-causing somatic mutations based on multi-modal deep Boltzmann machine
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.096
Abstract: Abstract When diagnosed at an advanced stage, most cancer patients suffer from treatment failure, recurrences and low survival. Taking advantage of high-throughput sequencing and deep learning techniques, we developed an early cancer monitoring method based… read more here.
Keywords: modal deep; somatic mutations; multi modal; based multi ... See more keywords
MMDF: Multi-Modal Deep Feature Based Place Recognition of Mobile Robots With Applications on Cross-Scene Navigation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3176731
Abstract: Although the navigation of robots in urban environments has achieved great performance, there is still a problem of insufficient robustness in cross-scene (ground, water surface) navigation applications. An intuitive idea is to introduce multi-modal complementary… read more here.
Keywords: cross scene; modal deep; mmdf multi; multi modal ... See more keywords
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2945992
Abstract: In recent years, there have been numerous developments toward solving multimodal tasks, aiming to learn a stronger representation than through a single modality. Certain aspects of the data can be particularly useful in this case—for… read more here.
Keywords: xflow cross; cross modal; neural networks; cross ... See more keywords