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 *

351 related articles for article (PubMed ID: 35957167)

  • 1. Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion.
    Younis EMG; Zaki SM; Kanjo E; Houssein EH
    Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957167
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An Ensemble Learning Approach for Electrocardiogram Sensor Based Human Emotion Recognition.
    Dissanayake T; Rajapaksha Y; Ragel R; Nawinne I
    Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31623279
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel speech emotion recognition method based on feature construction and ensemble learning.
    Guo Y; Xiong X; Liu Y; Xu L; Li Q
    PLoS One; 2022; 17(8):e0267132. PubMed ID: 35969579
    [TBL] [Abstract][Full Text] [Related]  

  • 4. EEG rhythm based emotion recognition using multivariate decomposition and ensemble machine learning classifier.
    Vempati R; Sharma LD
    J Neurosci Methods; 2023 Jun; 393():109879. PubMed ID: 37182604
    [TBL] [Abstract][Full Text] [Related]  

  • 5. EEG-Based Emotion Classification Using Stacking Ensemble Approach.
    Chatterjee S; Byun YC
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366249
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech.
    Doğdu C; Kessler T; Schneider D; Shadaydeh M; Schweinberger SR
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236658
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study.
    Mehta D; Siddiqui MFH; Javaid AY
    Sensors (Basel); 2019 Apr; 19(8):. PubMed ID: 31010081
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-modal emotion recognition using EEG and speech signals.
    Wang Q; Wang M; Yang Y; Zhang X
    Comput Biol Med; 2022 Oct; 149():105907. PubMed ID: 36049415
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reward-Penalty Weighted Ensemble for Emotion State Classification from Multi-Modal Data Streams.
    Nandi A; Xhafa F; Subirats L; Fort S
    Int J Neural Syst; 2022 Dec; 32(12):2250049. PubMed ID: 36129779
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Role of Coherent Robot Behavior and Embodiment in Emotion Perception and Recognition During Human-Robot Interaction: Experimental Study.
    Fiorini L; D'Onofrio G; Sorrentino A; Cornacchia Loizzo FG; Russo S; Ciccone F; Giuliani F; Sancarlo D; Cavallo F
    JMIR Hum Factors; 2024 Jan; 11():e45494. PubMed ID: 38277201
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deploying Machine Learning Techniques for Human Emotion Detection.
    Siam AI; Soliman NF; Algarni AD; Abd El-Samie FE; Sedik A
    Comput Intell Neurosci; 2022; 2022():8032673. PubMed ID: 35154306
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning.
    Yang Y; Wei L; Hu Y; Wu Y; Hu L; Nie S
    J Neurosci Methods; 2021 Feb; 350():109019. PubMed ID: 33321153
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Integrated Smart Pond Water Quality Monitoring and Fish Farming Recommendation Aquabot System.
    Hemal MM; Rahman A; Nurjahan ; Islam F; Ahmed S; Kaiser MS; Ahmed MR
    Sensors (Basel); 2024 Jun; 24(11):. PubMed ID: 38894471
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improving the accuracy of EEG emotion recognition by combining valence lateralization and ensemble learning with tuning parameters.
    Pane ES; Wibawa AD; Purnomo MH
    Cogn Process; 2019 Nov; 20(4):405-417. PubMed ID: 31338704
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy.
    Wu K; Miu X; Wang H; Li X
    Front Oncol; 2023; 13():1152020. PubMed ID: 37384290
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition.
    Zhang J; Chen M; Zhao S; Hu S; Shi Z; Cao Y
    Sensors (Basel); 2016 Sep; 16(10):. PubMed ID: 27669247
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals.
    Khezri M; Firoozabadi M; Sharafat AR
    Comput Methods Programs Biomed; 2015 Nov; 122(2):149-64. PubMed ID: 26253158
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Subject-independent emotion recognition based on physiological signals: a three-stage decision method.
    Chen J; Hu B; Wang Y; Moore P; Dai Y; Feng L; Ding Z
    BMC Med Inform Decis Mak; 2017 Dec; 17(Suppl 3):167. PubMed ID: 29297324
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods.
    Dostmohammadi M; Pedram MZ; Hoseinzadeh S; Garcia DA
    J Environ Manage; 2024 Jul; 364():121264. PubMed ID: 38870783
    [TBL] [Abstract][Full Text] [Related]  

  • 20. EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach.
    Asghar MA; Khan MJ; Fawad ; Amin Y; Rizwan M; Rahman M; Badnava S; Mirjavadi SS
    Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795095
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.