Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseскороОткрытый API экосистемы
Латиница
Русский

Emotion and Mood Recognition

Работ: 74

  1. Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features

    Dilnoza Mamieva, Akmalbek Abdusalomov, Alpamis Kutlimuratov +2

    СтатьяEmotion and Mood RecognitionSensors2023Цитирований: 11
    ABI

  2. A Hyper-Attentive Multimodal Transformer for Real-Time and Robust Facial Expression Recognition

    Zarnigor Tagmatova, Sabina Umirzakova, Alpamis Kutlimuratov +2

    СтатьяEmotion and Mood RecognitionApplied Sciences2025Цитирований: 6
    ABI

  3. Masked Face Emotion Recognition Based on Facial Landmarks and Deep Learning Approaches for Visually Impaired People

    Mukhriddin Mukhiddinov, Oybek Djuraev, Farkhod Akhmedov +2

    СтатьяFace recognition and analysisSensors2023Цитирований: 5
    ABI

  4. Improved Speech Emotion Recognition Focusing on High-Level Data Representations and Swift Feature Extraction Calculation

    Akmalbek Abdusalomov, Alpamis Kutlimuratov, Rashid Nasimov +1

    СтатьяEmotion and Mood RecognitionComputers, materials & continua/Computers, materials & continua (Print)2023Цитирований: 4
    ABI

  5. Deep Learning-Based Facial Emotion Recognition for Advanced Human-Computer Interaction

    U. Chindiyababy, Preetish Kakkar, Jagadeesh Vedula +3

    СтатьяEmotion and Mood Recognition2025Цитирований: 4
    ABI

  6. Emotion Prediction Using Deep Learning

    Geetamma Tummalapalli, Shanker Aleti, A. Ananthi Christy +4

    СтатьяEmotion and Mood Recognition2025Цитирований: 3
    ABI

  7. Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

    Ilkhomjon Pulatov, Rashid Oteniyazov, Fazliddin Makhmudov +1

    СтатьяEmotion and Mood RecognitionSensors2023Цитирований: 1
    ABI

  8. Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures

    Fazliddin Makhmudov, Alpamis Kultimuratov, Young Im Cho

    СтатьяEmotion and Mood RecognitionApplied Sciences2024Цитирований: 1
    ABI

  9. Enhanced AlexNet with Gabor and Local Binary Pattern Features for Improved Facial Emotion Recognition

    Furkat Safarov, Alpamis Kutlimuratov, Ugiloy Khojamuratova +2

    СтатьяEmotion and Mood RecognitionSensors2025Цитирований: 1
    ABI

  10. A Hybrid NER–Sentiment Model for Uzbek Texts: Integrating Lexical, Deep Learning, and Entity-Based Approaches

    Bobur Saidov, Vladimir Borisovich Barakhnin, Rakhmon Saparbaev +4

    СтатьяSentiment Analysis and Opinion MiningBig Data and Cognitive Computing2026Цитирований: 1
    ABI

  11. Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device

    Andrea Apicella, Pasquale Arpaïa, Andrea Cataldo +7

    СтатьяEEG and Brain-Computer Interfaces2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)2022Цитирований: 0
    ABI

  12. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

    Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico +4

    ПрепринтEEG and Brain-Computer InterfacesarXiv (Cornell University)2022Цитирований: 0
    ABI

  13. Comparative Analysis of Vision Transformer Models for Facial Emotion Recognition Using Augmented Balanced Datasets

    Sukhrob Bobojanov, Byeong Man Kim, Mukhriddin Arabboev +1

    СтатьяBrain Tumor Detection and ClassificationApplied Sciences2023Цитирований: 0
    ABI

  14. FACIAL EXPRESSIONS IN NONVERBAL COMMUNICATION

    Eshmirzayeva Nozima Bahodir qizi

    СтатьяFace Recognition and PerceptionZenodo (CERN European Organization for Nuclear Research)2023Цитирований: 0
    ABI

  15. Machine Learning Strategies to Improve Cross-Subject and Cross-Session Generalization in EEG-Based Emotion Recognition: A Systematic Review

    Pasquale Arpaïa, Andrea Apicella, Giovanni D’Errico +4

    Обзорная статьяEmotion and Mood RecognitionSSRN Electronic Journal2023Цитирований: 0
    ABI

  16. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

    Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico +4

    СтатьяEmotion and Mood RecognitionNeurocomputing2024Цитирований: 0
    ABI

  17. Hybrid LSTM–Attention and CNN Model for Enhanced Speech Emotion Recognition

    Fazliddin Makhmudov, Alpamis Kutlimuratov, Young Im Cho

    СтатьяEmotion and Mood RecognitionApplied Sciences2024Цитирований: 0
    ABI

  18. A Neuro-Symbolic, Multi-Modal Architecture for Advancing Adaptive Intelligent Tutoring Systems

    Khusniddin R. Ruzimboev, Ikhtiyor Avezmatov, Abdulaziz Xo‘jamqulov

    СтатьяIntelligent Tutoring Systems and Adaptive Learning2025Цитирований: 0
    ABI

  19. Analytical Modeling of Hybrid CNN-Transformer Dynamics for Emotion Classification

    Ergashevich Halimjon Khujamatov, Mirjamol Abdullaev, Sabina Umirzakova

    СтатьяEmotion and Mood RecognitionMathematics2025Цитирований: 0
    ABI

  20. Speech Emotion Recognition Using Machine Learning and Deep Learning Methods

    Sohidul Islam, Manoara Begum, Md Akash Rahman +6

    СтатьяSpeech Recognition and Synthesis2025Цитирований: 0
    ABI

  21. Predicting Depression and Anxiety in Women Using LDA-Based CNN

    Megala Rajendran, Dr. V. Sridevi, Dr. Kamalraj Subramaniam +2

    СтатьяMental Health via WritingInternational Journal of Basic and Applied Sciences2025Цитирований: 0
    ABI

  22. Multimodal Affective Feedback Technology: Developing Emotional State Recognition Systems for Students in Distance Learning

    Saidakhror Saidakhmedovich Gulyamov, Dilbar Suyunova, Sadokat Safoeva +4

    СтатьяEmotion and Mood Recognition2025Цитирований: 0
    ABI

  23. GENERAL DEEP LEARNING ARCHITECTURES FOR MULTIMODAL EMOTION DETECTION

    Kurbanov Abdurahmon

    СтатьяEmotion and Mood RecognitionAdvanced Computational Intelligence An International Journal (ACII)2025Цитирований: 0
    ABI

  24. Information-Measuring Approach to Multimodal Educational Content Quality via Neuro-Symbolic AI

    Khusniddin R. Ruzimboev, Ikhtiyor Avezmatov, Abdulaziz Xo‘jamqulov +1

    СтатьяIntelligent Tutoring Systems and Adaptive Learning2025Цитирований: 0
    ABI

  25. Sentiment Mining of Patient Experience Data Using T5 Architectures

    Nilufar Abdurakhmonova, Abbos Begimov, M.Sh. Hamroyeva +3

    СтатьяSentiment Analysis and Opinion Mining2025Цитирований: 0
    ABI