Results 31 to 40 of about 101,522 (253)

Experts ou (foule de) non-experts ? la question de l’expertise des annotateurs vue de la myriadisation (crowdsourcing)

open access: yesCorela, 2017
Experts or (crowd of) non-experts ? the question of the annotators’ expertise viewed from crowdsourcing.Manual corpus annotation is more and more performed using crowdsourcing : produced by a crowd of persons, through the Web, for free, or for a very ...
Karën Fort
doaj   +1 more source

An Evaluation of Manual and Semi-Automatic Laughter Annotation [PDF]

open access: yesInterspeech 2020, 2020
With laughter research seeing a development in recent years, there is also an increased need in materials having laughter annotations. We examine in this study how one can leverage existing spontaneous speech resources to this goal. We first analyze the process of manual laughter annotation in corpora, by establishing two important parameters of the ...
Ludusan, Bogdan, Wagner, Petra
openaire   +2 more sources

Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation

open access: yesJournal of Pathology Informatics, 2023
Deep learning has been widely used to analyze digitized hematoxylin and eosin (H&E)-stained histopathology whole slide images. Automated cancer segmentation using deep learning can be used to diagnose malignancy and to find novel morphological patterns ...
David Joon Ho   +7 more
doaj   +1 more source

High-Performance Genome Annotation for a Safer and Faster-Developing Phage Therapy

open access: yesViruses
Phage therapy, which uses phages to decrease bacterial load in an ecosystem, introduces a multitude of gene copies (bacterial and phage) into said ecosystem.
Antoine Culot   +2 more
doaj   +1 more source

NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

open access: yesScientific Data, 2021
Measurement(s) chemical entity • textual entity • Annotation Technology Type(s) expert manual annotation • digital curation • machine learning Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare ...
Rezarta Islamaj   +18 more
doaj   +1 more source

Developing Multi-Labelled Corpus of Twitter Short Texts: A Semi-Automatic Method

open access: yesSystems, 2023
Facing fast-increasing electronic documents in the Digital Media Age, the need to extract textual features of online texts for better communication is growing.
Xuan Liu   +6 more
doaj   +1 more source

Manually Annotated Spelling Error Corpus for Amharic

open access: yes, 2021
This paper presents a manually annotated spelling error corpus for Amharic, lingua franca in Ethiopia. The corpus is designed to be used for the evaluation of spelling error detection and correction. The misspellings are tagged as non-word and real-word errors.
Andargachew Mekonnen Gezmu   +3 more
openaire   +2 more sources

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho   +7 more
wiley   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye   +33 more
wiley   +1 more source

A marker gene-based method for identifying the cell-type of origin from single-cell RNA sequencing data

open access: yesMethodsX, 2023
Single-cell RNA sequencing (scRNA-seq) experiments provide opportunities to peer into complex tissues at single-cell resolution. However, insightful biological interpretation of scRNA-seq data relies upon precise identification of cell types. The ability
Nima Nouri   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy