Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseскороОткрытый API экосистемы
Латиница
Русский
← Назад к работе

Работы, на которые ссылается эта работа

Работ: 56

Работа: Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features

  1. Deep Residual Learning for Image Recognition

    Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

    Статья2016Цитирований: 61
    ABI

  2. Improved Feature Parameter Extraction from Speech Signals Using Machine Learning Algorithm

    Akmalbek Abdusalomov, Furkat Safarov, Mekhriddin Rakhimov +2

    СтатьяSpeech and Audio ProcessingSensors2022Цитирований: 17
    ABI

  3. Development of Real-Time Landmark-Based Emotion Recognition CNN for Masked Faces

    Farkhod Akhmedov, Akmalbek Abdusalomov, Mukhriddin Mukhiddinov +1

    Статья2022Цитирований: 17
    ABI

  4. Improvement of the end-to-end scene text recognition method for “text-to-speech” conversion

    Fazliddin Makhmudov, Mukhriddin Mukhiddinov, Akmalbek Abdusalomov +3

    СтатьяHandwritten Text Recognition TechniquesInternational Journal of Wavelets Multiresolution and Information Processing2020Цитирований: 12
    ABI

  5. Deep Learning Recommendations of E-Education Based on Clustering and Sequence

    Furkat Safarov, Alpamis Kutlimuratov, Akmalbek Abdusalomov +2

    СтатьяRecommender Systems and TechniquesElectronics2023Цитирований: 12
    ABI

  6. Evolving Hierarchical and Tag Information via the Deeply Enhanced Weighted Non-Negative Matrix Factorization of Rating Predictions

    Alpamis Kutlimuratov, Akmalbek Abdusalomov, Taeg Keun Whangbo

    Статья2020Цитирований: 10
    ABI

  7. LDA-Based Topic Modeling Sentiment Analysis Using Topic/Document/Sentence (TDS) Model

    Farkhod Akhmedov, Akmalbek Abdusalomov, Fazliddin Makhmudov +1

    Статья2021Цитирований: 10
    ABI

  8. Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning

    Uğur Ayvaz, Hüseyin Gürüler, Faheem Khan +3

    Статья2022Цитирований: 10
    ABI

  9. Modeling Speech Emotion Recognition via Attention-Oriented Parallel CNN Encoders

    Fazliddin Makhmudov, Alpamis Kutlimuratov, Farkhod Akhmedov +2

    Статья2022Цитирований: 9
    ABI

  10. Без названия

    ДругоеЦитирований: 8
    ABI

  11. Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization

    Alpamis Kutlimuratov, Akmalbek Abdusalomov, Rashid Oteniyazov +2

    СтатьяRecommender Systems and TechniquesSensors2022Цитирований: 7
    ABI

  12. Improved Face Detection Method via Learning Small Faces on Hard Images Based on a Deep Learning Approach

    Dilnoza Mamieva, Akmalbek Abdusalomov, Mukhriddin Mukhiddinov +1

    СтатьяFace recognition and analysisSensors2023Цитирований: 7
    ABI

  13. Deep-Sequence–Aware Candidate Generation for e-Learning System

    Aziz Ilyosov, Alpamis Kutlimuratov, Taeg Keun Whangbo

    Статья2021Цитирований: 6
    ABI

  14. Без названия

    ДругоеЦитирований: 4
    ABI

  15. Multimodal End-to-End Sparse Model for Emotion Recognition

    Wenliang Dai, Samuel Cahyawijaya, Zihan Liu +1

    Статья2021Цитирований: 4
    ABI

  16. Speech Emotion Recognition Using a Dual-Channel Complementary Spectrogram and the CNN-SSAE Neutral Network

    Juan Li, Xueying Zhang, Lixia Huang +3

    Статья2022Цитирований: 4
    ABI

  17. A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context

    Yurui Xu, Hang Su, Guijin Ma +1

    Статья2022Цитирований: 3
    ABI

  18. IEMOCAP: interactive emotional dyadic motion capture database

    Carlos Busso, Murtaza Bulut, Chi-Chun Lee +6

    Статья2008Цитирований: 2
    ABI

  19. Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis

    Soujanya Poria, Erik Cambria, Devamanyu Hazarika +3

    Статья2017Цитирований: 2
    ABI

  20. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

    AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria +2

    Статья2018Цитирований: 2
    ABI

  21. Deep learning-based facial emotion recognition for human–computer interaction applications

    M. Kalpana Chowdary, Tu N. Nguyen, D. Jude Hemanth

    Статья2021Цитирований: 2
    ABI

  22. Facial Expression Emotion Recognition Model Integrating Philosophy and Machine Learning Theory

    Zhenjie Song

    Статья2021Цитирований: 2
    ABI

  23. Multimodal Emotion Recognition in Deep Learning:a Survey

    Xin Gu, Yinghua Shen, Jie Xu

    Статья2021Цитирований: 2
    ABI

  24. Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models

    Swadha Gupta, Parteek Kumar, Raj Kumar Tekchandani

    Статья2022Цитирований: 2
    ABI

  25. Multimodal Emotion Recognition Based on Cascaded Multichannel and Hierarchical Fusion

    Xia Liu, Zhijing Xu, Kan Huang

    Статья2023Цитирований: 2
    ABI