Results 51 to 60 of about 1,855,093 (223)

An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset [PDF]

open access: yesScientific Data, 2020
It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders.
K. Payette   +19 more
semanticscholar   +1 more source

A Distributed Automatic Video Annotation Platform

open access: yesApplied Sciences, 2020
In the era of digital devices and the Internet, thousands of videos are taken and share through the Internet. Similarly, CCTV cameras in the digital city produce a large amount of video data that carry essential information. To handle the increased video
Md Anwarul Islam   +2 more
doaj   +1 more source

Enhanced Bootstrapping Algorithm for Automatic Annotation of Tweets

open access: yesInternational Journal of Cognitive Informatics and Natural Intelligence, 2020
Annotations are critical in various text mining tasks such as opinion mining, sentiment analysis, word sense disambiguation. Supervised learning algorithms start with the training of the classifier and require manually annotated datasets. However, manual
Mudasir Mohd, Rafiya Jan, Nida Hakak
semanticscholar   +1 more source

Principes et outils pour l’annotation des corpus

open access: yesTIPA. Travaux interdisciplinaires sur la parole et le langage, 2023
Corpus linguistics (i.e. research on language based on written or oral linguistic material that has been collected and saved) has been considerably developed over the last decades. This development has occurred using more numerous and larger corpora. The
Mary Amoyal   +8 more
doaj   +1 more source

Automatic Verification of Annotated Code [PDF]

open access: yes, 2003
Model checking is an automatic approach for the verification of systems. Explicit states model checking applies a search algorithm (e.g., depth or breadth first search) to the state space of the verified system. In concurrent systems, and in particular in communication protocols, the number of states can grow exponentially with the number of ...
Doron A. Peled, Hongyang Qu 0001
openaire   +1 more source

Automatic Annotation Suggestions and Custom Annotation Layers in WebAnno [PDF]

open access: yesProceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2014
In this paper, we present a flexible approach to the efficient and exhaustive manual annotation of text documents. For this purpose, we extend WebAnno (Yimam et al., 2013) an open-source web-based annotation tool. 1 While it was previously limited to specific annotation layers, our extension allows adding and configuring an arbitrary number of layers ...
Seid Muhie Yimam   +3 more
openaire   +1 more source

Semi-Automatic Data Annotation guided by Feature Space Projection [PDF]

open access: yesPattern Recognition, 2020
Data annotation using visual inspection (supervision) of each training sample can be laborious. Interactive solutions alleviate this by helping experts propagate labels from a few supervised samples to unlabeled ones based solely on the visual analysis ...
B. C. Benato   +3 more
semanticscholar   +1 more source

Automatic annotation and quality assessment of left ventricular time-volume curves

open access: yes, 2022
Automatic annotation and quality assessment of left ventricular time-volume ...
Nay Aung (11874419)
core   +1 more source

NCBI prokaryotic genome annotation pipeline

open access: yesNucleic Acids Research, 2016
Recent technological advances have opened unprecedented opportunities for large-scale sequencing and analysis of populations of pathogenic species in disease outbreaks, as well as for large-scale diversity studies aimed at expanding our knowledge across ...
T. Tatusova   +9 more
semanticscholar   +1 more source

Ontology-Based Automatic Annotation of Learning Content

open access: yes, 2006
This paper presents an ontology-based approach to automatic annotation of learning objects’ (LOs) content units that we tested in TANGRAM, an integrated learning environment for the domain of Intelligent Information Systems.
Jovanović, Jelena   +5 more
core   +1 more source

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