These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

225 related articles for article (PubMed ID: 34541306)

  • 1. Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model.
    Jamil R; Ashraf I; Rustam F; Saad E; Mehmood A; Choi GS
    PeerJ Comput Sci; 2021; 7():e645. PubMed ID: 34541306
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-Rule Based Ensemble Feature Selection Model for Sarcasm Type Detection in Twitter.
    Sundararajan K; Palanisamy A
    Comput Intell Neurosci; 2020; 2020():2860479. PubMed ID: 32405293
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning.
    Tan YY; Chow CO; Kanesan J; Chuah JH; Lim Y
    Wirel Pers Commun; 2023; 129(3):2213-2237. PubMed ID: 36987507
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach.
    Eke CI; Norman AA; Shuib L
    PLoS One; 2021; 16(6):e0252918. PubMed ID: 34111192
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts.
    Muaad AY; Jayappa Davanagere H; Benifa JVB; Alabrah A; Naji Saif MA; Pushpa D; Al-Antari MA; Alfakih TM
    Comput Intell Neurosci; 2022; 2022():7937667. PubMed ID: 35378816
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A contextual-based approach for sarcasm detection.
    Helal NA; Hassan A; Badr NL; Afify YM
    Sci Rep; 2024 Jul; 14(1):15415. PubMed ID: 38965307
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media.
    Akula R; Garibay I
    Entropy (Basel); 2021 Mar; 23(4):. PubMed ID: 33810363
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying health related occupations of Twitter users through word embedding and deep neural networks.
    Zainab K; Srivastava G; Mago V
    BMC Bioinformatics; 2022 Sep; 22(Suppl 10):630. PubMed ID: 36171569
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Enhanced Semantic Representation Learning for Sarcasm Detection by Integrating Context-Aware Attention and Fusion Network.
    Hao S; Yao J; Shi C; Zhou Y; Xu S; Li D; Cheng Y
    Entropy (Basel); 2023 May; 25(6):. PubMed ID: 37372222
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-label emotion classification of Urdu tweets.
    Ashraf N; Khan L; Butt S; Chang HT; Sidorov G; Gelbukh A
    PeerJ Comput Sci; 2022; 8():e896. PubMed ID: 35494831
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deepfake tweets classification using stacked Bi-LSTM and words embedding.
    Rupapara V; Rustam F; Amaar A; Washington PB; Lee E; Ashraf I
    PeerJ Comput Sci; 2021; 7():e745. PubMed ID: 34805502
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel LSTM-CNN-grid search-based deep neural network for sentiment analysis.
    Priyadarshini I; Cotton C
    J Supercomput; 2021; 77(12):13911-13932. PubMed ID: 33967391
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multimode Gesture Recognition Algorithm Based on Convolutional Long Short-Term Memory Network.
    Lu MX; Du GZ; Li ZF
    Comput Intell Neurosci; 2022; 2022():4068414. PubMed ID: 35281195
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Optimized Hybrid Deep Learning Model to Detect COVID-19 Misleading Information.
    Alouffi B; Alharbi A; Sahal R; Saleh H
    Comput Intell Neurosci; 2021; 2021():9615034. PubMed ID: 34790233
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of Algorithmically Generated Domain Names Using the Recurrent Convolutional Neural Network with Spatial Pyramid Pooling.
    Liu Z; Zhang Y; Chen Y; Fan X; Dong C
    Entropy (Basel); 2020 Sep; 22(9):. PubMed ID: 33286827
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.
    Hassanzadeh H; Nguyen A; Karimi S; Chu K
    J Biomed Inform; 2018 Sep; 85():68-79. PubMed ID: 30026067
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.
    Kutlu H; Avcı E
    Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035406
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Sentiment Analysis of Twitter Data Using a Hybrid Ghost Convolution Neural Network Model.
    Ali Al-Abyadh MH; Iesa MAM; Hafeez Abdel Azeem HA; Singh DP; Kumar P; Abdulamir M; Jalali A
    Comput Intell Neurosci; 2022; 2022():6595799. PubMed ID: 35898769
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Construction and improvement of English vocabulary learning model integrating spiking neural network and convolutional long short-term memory algorithm.
    Wang Y
    PLoS One; 2024; 19(3):e0299425. PubMed ID: 38517859
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Amharic political sentiment analysis using deep learning approaches.
    Alemayehu F; Meshesha M; Abate J
    Sci Rep; 2023 Oct; 13(1):17982. PubMed ID: 37864050
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.