Results 211 to 220 of about 338,614 (301)

A Multi-Fidelity Data Fusion Approach Based on Semi-Supervised Learning for Image Super-Resolution in Data-Scarce Scenarios. [PDF]

Sensors (Basel)
Zhu H, Zhao Y, Qiao X, Zhang J, Ma J, Tong S.   +5 more
europepmc   +1 more source

Encrypted Traffic Classification Model CLGAN Based on Semi-Supervised Learning [PDF]

展 邸
openalex   +1 more source

The paper puzzle as an active learning tool in the teaching of anatomy: A qualitative study of perceptions in students and near‐peer teachers

Anatomical Sciences Education, EarlyView.
Abstract Active learning strategies enhance medical education by fostering self‐directed learning, communication, and problem‐solving skills. The paper puzzle, a game‐based learning approach, provides an engaging way to reinforce anatomical knowledge and promote collaboration.
Ricardo Tello‐Mendoza, Luis Adrian Alvarez‐Lozada, Santos Guzman‐Lopez, Alejandro Quiroga‐Garza, Yolanda Salinas‐Alvarez, Rodrigo Enrique Elizondo‐Omana, David A. Morton   +6 more
wiley   +1 more source

Predicting the availability of power line communication nodes using semi-supervised learning algorithms. [PDF]

Sci Rep
Moussa K, Elsayed KM, Darweesh MS, Elbaz A, Soltan A.   +4 more
europepmc   +1 more source

Properly-Weighted Graph Laplacian for Semi-supervised Learning [PDF]

, 2019
Jeff Calder, Dejan Slepčev
openalex   +1 more source

A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment. [PDF]

Sci Rep
Liu Y, Wen C.
europepmc   +1 more source

Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning [PDF]

, 2018
Yawei Luo, Tao Guan, Junqing Yu, Ping Liu, Yi Yang   +4 more
openalex   +1 more source

Game‐based learning for undergraduate consolidation: A qualitative study of how game‐based learning provides much more than knowledge acquisition

Anatomical Sciences Education, EarlyView.
Abstract Game‐based learning (GBL) is increasingly used in medical education to supplement traditional didactic learning methods. Adult learners in particular may benefit from GBL, given the autonomous and iterative nature of a well‐designed educational game.
Thomas J. Paddock, Erin P. Fillmore
wiley   +1 more source

Suicide Risk Assessment on Social Media with Semi-Supervised Learning. [PDF]

Proc IEEE Int Conf Big Data
Lovitt M, Ma H, Wang S, Peng Y.
europepmc   +1 more source

Semi-supervised learning (machine learning)

, 2020
Candace Moore, Daniel Bell
openaire   +1 more source