Results 51 to 60 of about 25,867,085 (318)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
Data for analysis of mannose-6-phosphate glycans labeled with fluorescent tags
Data in Brief, 2016 Mannose-6-phosphate (M-6-P) glycan plays an important role in lysosomal targeting of most therapeutic enzymes for treatment of lysosomal storage diseases.
Ji-Yeon Kang +3 more
doaj +1 more source
Crisis social media data labeled for storm-related information and toponym usage
Data in Brief, 2020 Social media provides citizens and officials with important sources of information during times of crisis. This data article makes available labeled, storm-related social media data collected over a six-hour period during a severe storm and F1 tornado ...
Rob Grace
doaj +1 more source
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data
, 2018 Paucity of large curated hand-labeled training data for every domain-of-interest forms a major bottleneck in the deployment of machine learning models in computer vision and other fields.
Balasubramanian, Vineeth N, Pal, Arghya
core +1 more source
Pathogenic Germline PALB2 and RAD50 Variants in Patients With Relapsed Ewing Sarcoma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Approximately 10% of patients with Ewing sarcoma (EwS) have pathogenic germline variants. Here, we report two cases: first, a novel germline pathogenic variant in partner and localizer of BRCA2 (PALB2) in a patient with a late EwS relapse. Its impact on homologous recombination is demonstrated, and breast cancer risk is discussed.
Molly Mack +12 more
wiley +1 more source
Semi-Supervised Learning for Neural Keyphrase Generation
, 2018 We study the problem of generating keyphrases that summarize the key points for a given document. While sequence-to-sequence (seq2seq) models have achieved remarkable performance on this task (Meng et al., 2017), model training often relies on large ...
Wang, Lu, Ye, Hai
core +1 more source
Learning to Denoise Distantly-Labeled Data for Entity Typing [PDF]
North American Chapter of the Association for Computational Linguistics, 2019 Distantly-labeled data can be used to scale up training of statistical models, but it is typically noisy and that noise can vary with the distant labeling technique.
Yasumasa Onoe, Greg Durrett
semanticscholar +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data
IEEE AccessWe present a novel data-efficient semi-supervised framework to improve the generalization of image captioning models. Constructing a large-scale labeled image captioning dataset is expensive in terms of labor, time, and cost.
Dong-Jin Kim +3 more
doaj +1 more source
IEEE Access, 2023 Research on the interaction between users and their environment has been conducted in various fields, including human activity recognition (HAR), human-scene interaction (HSI), computer graphics (CG), and virtual reality (VR).
Changgu Kang +3 more
doaj +1 more source