Results 61 to 70 of about 27,600,540 (304)

Discriminative Multiple Kernel Concept Factorization for Data Representation

open access: yesIEEE Access, 2020
Concept Factorization (CF) improves Nonnegative matrix factorization (NMF), which can be only performed in the original data space, by conducting factorization within proper kernel space where the structure of data become much clear than the original ...
Lin Mu   +5 more
doaj   +1 more source

Data for: Adversarial Learning of Sentiment Word Representation for Sentiment Analysis

open access: yes, 2020
The codes of our work "Adversarial Learning of Sentiment Word Representation for Sentiment Analysis".
Wang, J (via Mendeley Data), Wang, Jin
core   +1 more source

Data representation and attention-aided neural networks for object classification and segmentation

open access: yes, 2022
Kambhamettu, ChandraThe success of Convolutional Neural Networks can be primarily attributed to considering the underlying grid representation of images and the local neighborhoods around pixels. Another critical factor for their success is to implicitly
Singh, Vinit Veerendraveer
core   +1 more source

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz   +6 more
wiley   +1 more source

Age-group visibility in WHO schistosomiasis reporting: decomposing preventive-chemotherapy coverage indicators, 2014–2024

open access: yesFrontiers in Public Health
BackgroundAge-inclusive schistosomiasis policy requires monitoring that distinguishes between eligible age groups. The 2022 World Health Organization (WHO) guideline recommended treatment from 2 years of age in qualifying communities.
Xinrui Xu
doaj   +1 more source

A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture

open access: yesIEEE Access, 2018
Clustering is a fundamental problem in many data-driven application domains, and clustering performance highly depends on the quality of data representation. Hence, linear or non-linear feature transformations have been extensively used to learn a better
Erxue Min   +5 more
doaj   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad   +9 more
wiley   +1 more source

Wittgenstein and Neuro-Symbolism

open access: yesi-lex
Recent debates on Artificial Intelligence (AI) have raised not only technical questions but also profound philosophical ones, as this emerging technology continues to transform society.
Giosuè Zanello
doaj   +1 more source

Bone Mineral Density After Contemporary Treatment for Acute Lymphoblastic Leukaemia: A Matched Cross‐Sectional Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen   +10 more
wiley   +1 more source

Metamodels for Hierarchical Topological Data Representation in Intelligent Manufacturing Systems

open access: yesApplied Sciences
The kernel of intelligent manufacturing is data utilization, where data can be trained to build AI models to generate optimized control parameter values for production processes.
Chunyu Chen, Xinyang Ding, Wang Lin
doaj   +1 more source

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