Results 91 to 100 of about 102,109 (257)

Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy. [PDF]

Sensors (Basel), 2021
Schmarje L, Brünger J, Santarossa M, Schröder SM, Kiko R, Koch R.   +5 more
europepmc   +1 more source

Time‐Multiplexed Organic Electrochemical Transistor for Saliva‐Based Rapid Detection of Viral Proteins

Advanced Science, EarlyView.
A time‐multiplexed nanobody‐functionalized organic electrochemical transistor enables rapid and sensitive detection of three respiratory viral proteins from saliva. Sequentially addressed multi‐gate electrodes on a shared channel achieve around 1 fm detection within 15 min without sample preprocessing. Clinical validation demonstrates high specificity,
Tianrui Chang, Yuxiang Ren, Shofarul Wustoni, Atheer Alqatari, Adel Hama, Yazhou Wang, Long Chen, Jessica Parrado Agudelo, Luca Salvigni, Keying Guo, Ashraf Dada, Stefan T. Arold, Raik Grünberg, Sahika Inal   +13 more
wiley   +1 more source

A Semi-Supervised Multi-Scale Convolutional Neural Network for Hyperspectral Image Classification with Limited Labeled Samples

Remote Sensing
Supervised deep learning methods have been widely utilized in hyperspectral image (HSI) classification tasks. However, acquiring a large number of reliably labeled samples to train deep networks is not always possible in practical HSI applications due to
Chen Yang, Zizhuo Liu, Renchu Guan, Haishi Zhao   +3 more
doaj   +1 more source

Training set edition using Rough Set Theory for Semi-supervised Classification

, 2017
Semi-supervised Classification (SSC) is becoming an attractive research filed due to the emergence of real-world problems on which the number of unlabeled examples exceeds the labeled ones.
Nápoles, G., Nowe, A., García Lorenzo, M.M., Sengupta, D., Grau, I.   +4 more
core  

Text classification method review [PDF]

, 2007
With the explosion of information fuelled by the growth of the World Wide Web it is no longer feasible for a human observer to understand all the data coming in or even classify it into categories.
Tiwari, Ashutosh, Roy, Rajkumar, Mahinovs, Aigars, Baxter, David   +3 more
core  

TSPYL5 Promotes Triple‐Negative Breast Cancer Metastasis by Antagonizing USP10‐Mediated PTEN Stabilization to Unleash a ZEB1‐Dependent EMT Program

Advanced Science, EarlyView.
The hyperactivation of PI3K/AKT signaling in PTEN wild‐type triple‐negative breast cancer represents a clinical paradox. We delineate a novel post‐translational regulatory axis wherein the oncogene TSPYL5 competitively antagonizes the deubiquitinase USP10.
Jiaying Shi, Ming Yi, Shengyu Xie, Zhaokun Wang, Xinyue Zhang, Yangwei Zhang, Rui Tang, Yuan Yang, Yunqiang Liu   +8 more
wiley   +1 more source

Semi-supervised latent variable models for sentence-level sentiment analysis [PDF]

, 2011
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as a small amount of manually crafted sentence labels, to learn sentence-level
McDonald, Ryan, Täckström, Oscar
core  

JoshuaE1/supervised-classification-SSH-publications v1.0

, 2020
A comparison of supervised machine learning ...
rafguns, JoshuaE1
core   +1 more source

PSMA8‐Containing 20S Proteasome Regulates Spermiogenesis and Male Fertility

Advanced Science, EarlyView.
PSMA8 assembles s20S proteasome that degrades specific substrates in elongating spermatids. Degradation of s20S‐substrates activates translation of FXR1‐target mRNAs, which are essential for mitochondrial sheath formation and sperm morphogenesis.
Huiwen Cao, Qianting Zhang, Wei Xu, Anxuan Fang, Haomang Xu, Cheng Qiu, Lugeng He, Chao Yu   +7 more
wiley   +1 more source

SMILE: Semi-supervised multi-view classification based on dynamical fusion.

PLoS ONE
Semi-supervised multi-view classification plays a crucial role in understanding and utilizing existing multi-view data, especially in domains like medical diagnosis and autonomous driving.
Hui Yang, Linyan Kang, Xun Che
doaj   +1 more source