Results 91 to 100 of about 5,782,720 (331)

Convex Multiview Semi-Supervised Classification

, 2017
In many practical applications, there are a great number of unlabeled samples available, while labeling them is a costly and tedious process. Therefore, how to utilize unlabeled samples to assist digging out potential information about the problem is ...
Feiping Nie, Jing Li, Nie, Feiping, Li, Xuelong, Li, Jing, Xuelong Li   +5 more
core   +1 more source

Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology

Molecular Oncology, EarlyView.
This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic, Maria Concetta Vitale, Rita Siino, Emilia Di Giovanni, Carla Ferrante Bannera, Enrico Di Marco, Andrea Gottardo, Tancredi Didier Bazan Russo, Nadia Barraco, Alessandro Perez, Valerio Gristina, Antonio Galvano, Giuseppe Badalamenti, Antonio Russo, Viviana Bazan, Lorena Incorvaia   +15 more
wiley   +1 more source

Research on semi-supervised multi-graph classification algorithm based on MR-MGSSL for sensor network

EURASIP Journal on Wireless Communications and Networking, 2020
With the advent of the era of network information, the amount of data in network information is getting larger and larger, and the classification of data becomes particularly important.
Yang Gang, Zhang Na, Jin Tao, Wang Dawei, Kang Yinzhu, Gao Feng   +5 more
doaj   +1 more source

Weakly Supervised Learning of Objects, Attributes and their Associations [PDF]

, 2014
. When humans describe images they tend to use combinations of nouns and adjectives, corresponding to objects and their associated attributes respectively.
Zhiyuan Shi, Yongxin Yang, Yang, Yongxin, Tao Xiang, Timothy M. Hospedales, Yang, Y, Hospedales, Timothy M, Xiang, Tao, Shi, Z, Xiang, T, Shi, Zhiyuan, Hospedales, TM   +11 more
core   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

Semi-supervised Remote Sensing Image Scene Classification Based on Generative Adversarial Networks

International Journal of Computational Intelligence Systems, 2022
With the availability of numerous high-resolution remote sensing images, remote sensing image scene classification has been widely used in various fields. Compared with the field of natural images, the insufficient number of labeled remote sensing images
Dongen Guo, Zechen Wu, Yuanzheng Zhang, Zhen Shen   +3 more
doaj   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

Inductive Inference in Supervised Classification

CoRR, 2021
Inductive inference in supervised classification context constitutes to methods and approaches to assign some objects or items into different predefined classes using a formal rule that is derived from training data and possibly some additional auxiliary information.
openaire   +3 more sources

Label knowledge-guided heterogeneous graph contrastive learning for semi-supervised short text sentiment classification

Journal of Big Data
Semi-supervised classification demonstrates effective performance in categorizing short-length texts, such as social media posts and online reviews, through the utilization of limited labeled data.
Mingqiang Wu
doaj   +1 more source

Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification

The Web Conference, 2018
The problem of extracting meaningful data through graph analysis spans a range of different fields, such as the internet, social networks, biological networks, and many others.
Chenyi Zhuang, Qiang Ma
semanticscholar   +1 more source