Results 111 to 120 of about 258 (124)

BioRED track lasigeBioTM submission: Relation Extraction using Domain Ontologies with BioRED

2023
Abstract Biomedical relation extraction is a crucial task for extracting valuable knowledge from unstructured scientific literature. This paper discusses our team's, lasigeBioTM, involvement in the BioCreative VIII Track 1: BioRED in both sub-tasks.
Conceição, Sofia I. R.   +3 more
openaire   +1 more source

UIUC-BioNLP @ BioCreative VIII BioRED Track

2023
Abstract In this paper, we present a pipeline approach for the BioCreative VIII BioRED (Biomedical Relation Extraction Dataset) Track. Our approach combines fine-tuned PubMedBERT models for named entity recognition (NER), relation extraction (RE), and novelty detection (ND), with an entity linking (EL) approach based on PubTator and BERN2 models.
Sarol, M. Janina   +2 more
openaire   +1 more source

Bewonersparticipatie in BIOR

2023
Presentatie tijdens netwerkbijeenkomst van Innovatiewerkplaats Kennislab BIOR Noord (Bewegen in Openbare Ruimten)
openaire  

Treatment of deep dental decay with Zn-BIOR. Histological study

Journal of Stomatological Medicine, 2022
The deep dental decay represents the last stage of carious disease, characterized by extensive affectation of hard dental tissues, capturing the deep layers of the dentin (parapulpal dentin) and represents the most severe stage of demineralization and destruction of the hard tissues of the tooth.
Eduard Untila   +2 more
openaire   +1 more source

BIORED - A Genetic Algorithm for Pattern Detection in Biosequences

2008
We present a new, efficient and scalable tool, named BIORED, for pattern discovery in proteomic and genomic sequences. It uses a genetic algorithm to find interesting patterns in the form of regular expressions, and a new efficient pattern matching procedure to count pattern occurrences.
Pedro Pereira   +2 more
openaire   +1 more source

An Assessment of Bior Wavelet Decomposition's for Image Compression

Proceedings of the 2018 International Conference on Communication Engineering and Technology, 2018
Compressing image using standard wavelet transform may not yield optimal results due to the limitations on wavelet bases. For astronomical images, computational constraints for signal processing and transmission require having an appropriate technique with least computational cost.
openaire   +1 more source

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