Results 181 to 190 of about 338,614 (301)
GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning [PDF]
Ozsel Kilinc, Ismail Uysal
openalex +1 more source
Balance and fall-risk assessment in older adults using wearable plantar pressure and semi-supervised learning. [PDF]
Ou J +9 more
europepmc +1 more source
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source
Subclass-Aware Contrastive Semi-Supervised Learning for Inflammatory Bowel Disease Classification from Colonoscopy Images. [PDF]
Lin K +5 more
europepmc +1 more source
From Obstacles to Resources: Semi-supervised Learning Faces Synthetic Data Contamination [PDF]
Zerun Wang +3 more
openalex +1 more source
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang +6 more
wiley +1 more source
Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation. [PDF]
Matsui I +60 more
europepmc +1 more source
Bioimaging of the sense organs and brain of fishes and reptiles. Left panel: 3D reconstruction of the head and brain of the deep‐sea viperfish Chauliodus sloani following diceCT. Right panel: A 3D reconstruction of a 70‐day‐old embryo head of the bearded dragon Pogona vitticeps following diceCT, showing the position of the segmented brain within the ...
Shaun P. Collin +9 more
wiley +1 more source
Semi-Supervised Learning for Predicting Multiple Sclerosis. [PDF]
Kotsiantis S +4 more
europepmc +1 more source
Comparative histological and semi‐automated image analysis of primate lips: Masson's trichrome‐stained sagittal sections were segmented to quantify the connective tissue, adipose, and muscular components, enabling interspecific comparisons of labial architecture.
Liat Rotenstreich +5 more
wiley +1 more source

