Results 51 to 60 of about 1,144,226 (279)

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie   +4 more
wiley   +1 more source

Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey

open access: yesSensors, 2022
Sensors are devices that output signals for sensing physical phenomena and are widely used in all aspects of our social production activities. The continuous recording of physical parameters allows effective analysis of the operational status of the ...
Yongjie Shi, Xianghua Ying, Jinfa Yang
doaj   +1 more source

Modular Domain Adaptation

open access: yesFindings of the Association for Computational Linguistics: ACL 2022, 2022
Findings of ACL (2022)
Chen, Junshen K.   +2 more
openaire   +2 more sources

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior   +7 more
wiley   +1 more source

Wasserstein Uncertainty Estimation for Adversarial Domain Matching

open access: yesFrontiers in Big Data, 2022
Domain adaptation aims at reducing the domain shift between a labeled source domain and an unlabeled target domain, so that the source model can be generalized to target domains without fine tuning.
Rui Wang, Ruiyi Zhang, Ricardo Henao
doaj   +1 more source

Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek   +13 more
wiley   +1 more source

Pairwise Similarity for Domain Adaptation

open access: yesIEEE Access
The application of the domain adaptation technique enables the resolution of classification challenges in an unlabeled target domain by leveraging the labeled information from source domains.
Xiaoshun Wang, Sibei Luo
doaj   +1 more source

Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Domain adaptation has proven to be suitable for alleviating domain discrepancies, which hinder the generalization capacity of classifiers. Among a few alternatives, domain adaptation techniques that align features in a domain-agnostic space through ...
Pedro Juan Soto Vega   +4 more
doaj   +1 more source

Unsupervised Domain Adaptation with Copula Models

open access: yes, 2017
We study the task of unsupervised domain adaptation, where no labeled data from the target domain is provided during training time. To deal with the potential discrepancy between the source and target distributions, both in features and labels, we ...
Pavlovic, Vladimir   +2 more
core   +1 more source

Slimmable Domain Adaptation

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Vanilla unsupervised domain adaptation methods tend to optimize the model with fixed neural architecture, which is not very practical in real-world scenarios since the target data is usually processed by different resource-limited devices. It is therefore of great necessity to facilitate architecture adaptation across various devices. In this paper, we
Meng, Rang   +9 more
openaire   +2 more sources

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