Results 1 to 10 of about 12,975 (161)

PhenoDP: leveraging deep learning for phenotype-based case reporting, disease ranking, and symptom recommendation [PDF]

Genome Medicine
Background Current phenotype-based diagnostic tools often struggle with accurate disease prioritization due to incomplete phenotypic data and the complexity of rare disease presentations.
Baole Wen, Sheng Shi, Yi Long, Yanan Dang, Weidong Tian   +4 more
doaj   +2 more sources

Pheno-Ranker: a toolkit for comparison of phenotypic data stored in GA4GH standards and beyond [PDF]

BMC Bioinformatics
Background Phenotypic data comparison is essential for disease association studies, patient stratification, and genotype–phenotype correlation analysis.
Ivo C. Leist, María Rivas-Torrubia, Marta E. Alarcón-Riquelme, Guillermo Barturen, PRECISESADS Clinical Consortium, Ivo G. Gut, Manuel Rueda   +6 more
doaj   +2 more sources

In Silico Screening of Bioactive Peptides in Stout Beer and Analysis of ACE Inhibitory Activity [PDF]

Foods
Stout beer was selected as the research object to screen angiotensin-converting enzyme (ACE) inhibitory peptides. The peptide sequences of stout beer were identified using ultra-performance liquid chromatography-quadrupole-Orbitrap mass spectrometry with
Wenhui Tian, Cui Zhang, Qi Zheng, Shumin Hu, Weiqiang Yan, Ling Yue, Zhijun Chen, Ci Zhang, Qiulian Kong, Liping Sun   +9 more
doaj   +2 more sources

Karakteristike i ekološko – proizvodni potencijal zemljišta na serpentinitima u PJ ,,Donja Velika Usora“

Glasnik Šumarskog Fakulteta Univerziteta u Banjoj Luci, 2015
Ultrabazične stijene (serpentiniti i peridotiti) zauzimaju značajnu površinu u dijelu unutrašnjih Dinarida i imaju svoje specifičnosti koje se reflektuju na karakter zemljišnog pokrivača.
Marijana Kapović-Solomun, Saša Eremija, Zoran Gavrić   +2 more
doaj   +5 more sources

Comparative Study of Supervised Machine Learning Algorithms on Thoracic Surgery Patients based on Ranker Feature Algorithms

UHD Journal of Science and Technology, 2021
Thoracic surgery refers to the information gathered for the patients who have to suffer from lung cancer. Various machine learning techniques were employed in post-operative life expectancy to predict lung cancer patients. In this study, we have used the
Hezha M.Tareq Abdulhadi, Hardi Sabah Talabani   +1 more
doaj   +1 more source

Early Exit Strategies for Learning-to-Rank Cascades

IEEE Access, 2023
The ranking pipelines of modern search platforms commonly exploit complex machine-learned models and have a significant impact on the query response time.
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani   +5 more
doaj   +1 more source

The determinants for top ranker of Korean Greco-Roman wrestlers

Journal of Men's Health, 2022
Background and objective: This study investigates the physical factors that determine the top ranker players based on the Greco-Roman wrestlers in the national athletic team of South Korea.
Hong Sun Song, Kyoung Choen Cha, Buong O Chun   +2 more
doaj   +1 more source

Visual re-ranking with natural language understanding for text spotting [PDF]

, 2018
The final publication is available at link.springer.comMany scene text recognition approaches are based on purely visual information and ignore the semantic relation between scene and text.
Moreno-Noguer, Francesc, Padró, Lluís, Sabir, Ahmed   +2 more
core   +3 more sources

Conelikes and Ranker Comparisons

, 2022
For every fixed class of regular languages, there is a natural hierarchy of increasingly more general problems: Firstly, the membership problem asks whether a given language belongs to the fixed class of languages. Secondly, the separation problem asks for two given languages whether they can be separated by a language from the fixed class. And thirdly,
Henriksson, Viktor, Kufleitner, Manfred
openaire   +2 more sources

Organic carbon stock in some forest soils in Serbia [PDF]

Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu, 2012
The content of organic carbon (C) was researched in topsoil layers (0-20 cm) in the most represented soils of forest ecosystems in central Serbia: eutric ranker, eutric cambisol and dystric cambisol.
Kadovic Ratko, Belanovic Snežana, Kneževic Milan, Danilovic Milorad, Košanin Olivera, Beloica Jelena   +5 more
doaj   +1 more source