Amanote Research

Amanote Research

    RegisterSign In

Fast and Accurate Semantic Annotation of Bioassays Exploiting a Hybrid of Machine Learning and User Confirmation

PeerJ - United States
doi 10.7717/peerj.524
Full Text
Open PDF
Abstract

Available in full text

Categories
GeneticsMolecular BiologyBiochemistryBiological SciencesMedicineAgriculturalNeuroscience
Date

August 14, 2014

Authors
Alex M. ClarkBarry A. BuninNadia K. LittermanStephan C. SchürerUbbo Visser
Publisher

PeerJ


Related search

Automatic Semantic Annotation Using Machine Learning

English

Enrichment Ontology With Updated User Data for Accurate Semantic Annotation

International Journal of Advanced Computer Science and Applications
Computer Science
2019English

Exploiting User-Supplied Tags for Flickr Photos Annotation

Journal of Software
2011English

High-Performance Diagnosis of Sleep Disorders: A Novel, Accurate and Fast Machine Learning Approach Using Electroencephalographic Data

2020English

Machine Learning and Genome Annotation: A Match Meant to Be?

Genome Biology
2013English

Whole-Plant and Seed Bioassays for Resistance Confirmation

Weed Science
Plant ScienceAgronomyCrop Science
2015English

Fast, Accurate Detection of 100,000 Object Classes on a Single Machine

2013English

Learning a Neural Semantic Parser From User Feedback

2017English

Semantic Annotation, Indexing, and Retrieval

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2003English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy