A deep learning classifier for sentence classification in biomedical and computer science abstracts
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A deep learning classifier for sentence classification in biomedical and computer science abstracts
Authors
Keywords
Bidirectional gated recurrent unit, Abstract sentence classification, Deep learning, Crowdsourcing
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-07-10
DOI
10.1007/s00521-019-04334-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hybrid Intelligence
- (2019) Dominik Dellermann et al. Business & Information Systems Engineering
- Unfolding the relations between companies and technologies under the Big Data umbrella
- (2018) João Canito et al. COMPUTERS IN INDUSTRY
- A survey on deep learning for big data
- (2018) Qingchen Zhang et al. Information Fusion
- Discourse-aware rumour stance classification in social media using sequential classifiers
- (2018) Arkaitz Zubiaga et al. INFORMATION PROCESSING & MANAGEMENT
- Analysis on the potential of an EA–surrogate modelling tandem for deep learning parametrization: an example for cancer classification from medical images
- (2018) Ruxandra Stoean NEURAL COMPUTING & APPLICATIONS
- Emotional sentiment analysis for a group of people based on transfer learning with a multi-modal system
- (2018) Vivek Singh Bawa et al. NEURAL COMPUTING & APPLICATIONS
- And, not or: Quality, quantity in scientific publishing
- (2017) Matthew J. Michalska-Smith et al. PLoS One
- Publish (in English) or perish: The effect on citation rate of using languages other than English in scientific publications
- (2016) Mario S. Di Bitetti et al. AMBIO
- A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features
- (2016) Sérgio Moro et al. NEURAL COMPUTING & APPLICATIONS
- Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation
- (2015) Sérgio Moro et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep multilayer multiple kernel learning
- (2015) Ilyes Rebai et al. NEURAL COMPUTING & APPLICATIONS
- The Number of Scholarly Documents on the Public Web
- (2014) Madian Khabsa et al. PLoS One
- A systematic review of systematic review process research in software engineering
- (2013) Barbara Kitchenham et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Using sensitivity analysis and visualization techniques to open black box data mining models
- (2012) Paulo Cortez et al. INFORMATION SCIENCES
- Task Design, Motivation, and Participation in Crowdsourcing Contests
- (2011) Haichao Zheng et al. INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE
- Combining classifiers for robust PICO element detection
- (2010) Florian Boudin et al. BMC Medical Informatics and Decision Making
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started