Results 71 to 80 of about 103,215 (258)

Episodic Training and Feature Orthogonality-Driven Domain Generalization for Rotating Machinery Fault Diagnosis Under Unseen Working Conditions

Machines
In recent years, domain generalization-based fault diagnosis (DGFD) methods have shown significant potential in rotating machinery fault diagnosis in unseen target domains.
Yixiao Liao, Songbin Zhou, Yisen Liu, Kunkun Pang, Jing Li, Chang Li, Lulu Zhao   +6 more
doaj   +1 more source

Domain Generalization with Domain-Specific Aggregation Modules [PDF]

, 2019
Visual recognition systems are meant to work in the real world. For this to happen, they must work robustly in any visual domain, and not only on the data used during training. Within this context, a very realistic scenario deals with domain generalization, i.e.
D'Innocente, Antonio, Caputo, Barbara
openaire   +2 more sources

Phase Angle as an Early Functional Biomarker of Cancer‐Related Fatigue in Pediatric Oncology: A Prospective Longitudinal Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric cancer remains a leading cause of morbidity and mortality worldwide, particularly in low‐and middle‐income countries. Cancer treatment may impair nutritional status, alter body composition, and exacerbate cancer‐related fatigue (CRF).
Luís Carlos Lopes‐Junior, Luiz Claudio Barreto Silva Neto, Fabiano Kenji Haraguchi, Letícia Batista de Azevedo, Marcelo Brenner Nascimento Carlini, Raphael Manhães Pessanha, Mariana Rabello Laignier, Wesley Rocha Grippa, Tania Mara Lopes Bitti Bortolini, Gláucia Zouain‐Figueiredo, Regina Aparecida Garcia de Lima, Liliana Vasquez   +11 more
wiley   +1 more source

Development and Implementation of a Disease‐Targeted Storybook as a Clinical Tool for Children With Acute Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin, Usanarat Anurathapan, Rawiwan Roongpraiwan, Potchanee Dandamrongrak, Siriporn Nakhonchai, Pawin Numthavaj, Vilawan Chirdkiatgumchai   +6 more
wiley   +1 more source

Domain Generalization Through Data Augmentation: A Survey of Methods, Applications, and Challenges

Mathematics
Domain generalization (DG) has become a pivotal research area in machine learning, focusing on equipping models with the ability to generalize effectively to unseen test domains that differ from the training distribution.
Junjie Mai, Chongzhi Gao, Jun Bao
doaj   +1 more source

Robustness and Domain Generalization [PDF]

The robustness task asks to find a predictive model that remains accurate not only under known conditions but also when encountering completely novel situations, often referred to as distribution shift. Domain Generalization (DG) represents a specific case of robustness, wherein access to distinct environments is provided during the training phase.
openaire   +2 more sources

Attention Diversification for Domain Generalization

, 2022
ECCV 2022.
Rang Meng, Xianfeng Li, Weijie Chen 0006, Shicai Yang, Jie Song 0011, Xinchao Wang, Lei Zhang 0038, Mingli Song, Di Xie, Shiliang Pu   +9 more
openaire   +2 more sources

Animal‐Assisted Activities With Therapy Dogs in Pediatric Oncology: A Multicenter Survey of the Current Status, Implementation, and Challenges in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig, Birgit Burkhardt, Christof M. Kramm, Kira Ostermann, Sarah C. Goretzki, Uta Dirksen, Nico Kurpiers, Michael M. Schündeln   +7 more
wiley   +1 more source

Transfer Metric Learning for Unseen Domains

Data Science and Engineering, 2020
We propose a transfer metric learning method to infer domain-specific data embeddings for unseen domains, from which no data are given in the training phase, by using knowledge transferred from related domains.
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara   +2 more
doaj   +1 more source

A Population‐Based Study on Childhood Aplastic Anemia—Incidence, Outcomes, and Health‐Related Quality of Life

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood aplastic anemia (AA) is a rare disease, and both the disease itself and its treatment cause significant morbidity. We aimed to determine the contemporary incidence of childhood AA in Finland, to compare the clinical characteristics of AA against inherited bone marrow failure syndromes (IBMFS) and refractory cytopenia of ...
Lauri‐Matti Kulmala, Riitta Niinimäki, Tytti Pokka, Anu Huurre, Liisa Järvelä, Sauli Palmu, Tuuli Pöyhönen, Pauliina Utriainen, Henri Aarnivala   +8 more
wiley   +1 more source