Results 61 to 70 of about 1,321,207 (310)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source
Multi-Source Contribution Learning for Domain Adaptation. [PDF]
, 2023 Transfer learning becomes an attractive technology to tackle a task from a target domain by leveraging previously acquired knowledge from a similar domain (source domain).
Zhang, G, Li, K, Zuo, H, Lu, J
core +1 more source
Regularised transfer learning for hyperspectral image classification
IET Computer Vision, 2019 This study presents a transfer learning method for addressing the insufficient sample problem in hyperspectral image classification. In order to find common feature representation for both the source domain and target domain, we introduce a ...
Qian Shi +3 more
doaj +1 more source
A Long Time Span-Specific Emitter Identification Method Based on Unsupervised Domain Adaptation
Remote Sensing, 2023 Specific emitter identification (SEI) is a professional technology to recognize different emitters by measuring the unique features of received signals. It has been widely used in both civilian and military fields.
Pengfei Liu +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source
Source Free Unsupervised Graph Domain Adaptation [PDF]
, 2023 Graph Neural Networks (GNNs) have achieved great success on a variety of tasks with graph-structural data, among which node classification is an essential one. Unsupervised Graph Domain Adaptation (UGDA) shows its practical value of reducing the labeling
Zhang, Dongmei +7 more
core +2 more sources
آداب الكوفة, 2023 Metaphor is a concept that connects two distant domains or concepts and helps with the recognition of a subjective concept from an objective and tangible one.
Afarin Zare
doaj +1 more source
Source Accountability with Domain-brokered Privacy [PDF]
Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, 2016 In an ideal network, every packet would be attributable to its sender, while host identities and transmitted content would remain private. Designing such a network is challenging because source accountability and communication privacy are typically viewed as conflicting properties.
Taeho Lee +4 more
openaire +4 more sources
Secure Domain Adaptation with Multiple Sources
Trans. Mach. Learn. Res., 2021 Multi-source unsupervised domain adaptation (MUDA) is a framework to address the challenge of annotated data scarcity in a target domain via transferring knowledge from multiple annotated source domains. When the source domains are distributed, data privacy and security can become significant concerns and protocols may limit data sharing, yet existing ...
Serban Stan, Mohammad Rostami
openaire +3 more sources
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
Pediatric Blood &Cancer, EarlyView.ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source