Results 41 to 50 of about 1,855,093 (223)
Automatic annotation of coral reefs using deep learning [PDF]
OCEANS 2016 MTS/IEEE Monterey, 2016 Healthy coral reefs play a vital role in maintaining biodiversity in tropical marine ecosystems. Deep sea exploration and imaging have provided us with a great opportunity to look into the vast and complex marine ecosystems.
A. Mahmood +7 more
semanticscholar +2 more sources
LAKomp. Lemmatize, annotate and compare texts in non-standardized languages
RIDE, 2023 LAKomp is a semi-automatic web-based tool developed for the annotation and comparison of historical, non-standardized texts. In contrast to other tools, LAKomp does not automate annotation but makes manual annotation simple and fast offering a semi ...
Barbara Aehnlich, Elisabeth Witzenhausen
doaj +1 more source
Automatic Annotation of Heart Rate Sequences
2023 IEEE 11th International Conference on Serious Games and Applications for Health (SeGAH), 2023 Heart Rate (HR) measurement is one of the most effective ways to determine whether a person is stressed or not. The analysis of a series of HR measurements can help determine whether the HR decreased, increased dramatically, or remained consistent during that time period.
Lopes, Júlio Castro +4 more
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Automatic Annotation and Dereplication of Tandem Mass Spectra of Peptidic Natural Products.
Analytical Chemistry, 2020 The various bioactivity types and potencies of peptidic natural products (PNPs) are of high interest for the development of new drugs. In particular, the intrinsic antibiotic properties of PNPs appear essential to combat antimicrobial resistance that is ...
Emma Ricart +3 more
semanticscholar +1 more source
Annotation-efficient deep learning for automatic medical image segmentation [PDF]
Nature Communications, 2020 Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to ...
Shanshan Wang +14 more
semanticscholar +1 more source
Image auto-annotation with automatic selection of the annotation length [PDF]
Journal of Intelligent Information Systems, 2012 Developing a satisfactory and effective method for auto-annotating images that works under general conditions is a challenging task. The advantages of such a system would be manifold: it can be used to annotate existing, large databases of images, rendering them accessible to text search engines; or it can be used as core for image retrieval based on a
Oskar Maier +2 more
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Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
Annual Meeting of the Association for Computational Linguistics, 2017 Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated.
Christopher Bryant +2 more
semanticscholar +1 more source
Annotation based automatic action processing [PDF]
CoRR, 2017 With a strong motivational background in search engine optimization the amount of structured data on the web is growing rapidly. The main search engine providers are promising great increase in visibility through annotation of the web page's content with the vocabulary of schema.org and thus providing it as structured data.
Elias Kärle, Dieter Fensel
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Expériences sur l’analyse morphosyntaxique des corpus oraux avec l’annotateur multi-niveaux DisMo
Corela, 2017 Annotating spoken corpora poses unique challenges stemming from the particular characteristics of spontaneous speech and its transcription. Automatic annotation tools need to adapt to these challenges. At the same time, it is desirable to define a “least
George Christodoulides, Giulia Barreca
doaj +1 more source
Sensors, 2020 Since most computer vision approaches are now driven by machine learning, the current bottleneck is the annotation of images. This time-consuming task is usually performed manually after the acquisition of images.
Salma Samiei +4 more
doaj +1 more source