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Работы, на которые ссылается эта работа
Работ: 45
Работа: Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
Kefallinos, Dionysios, Alexandris, Georgios, Maras, Alexis +5
Препринт2018Цитирований: 11ABIModeling Speech Emotion Recognition via Attention-Oriented Parallel CNN Encoders
Fazliddin Makhmudov, Alpamis Kutlimuratov, Farkhod Akhmedov +2
Статья2022Цитирований: 9ABIDeep-Sequence–Aware Candidate Generation for e-Learning System
Aziz Ilyosov, Alpamis Kutlimuratov, Taeg Keun Whangbo
Статья2021Цитирований: 6ABIMultimodal End-to-End Sparse Model for Emotion Recognition
Wenliang Dai, Samuel Cahyawijaya, Zihan Liu +1
Статья2021Цитирований: 4ABIImproved 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: 4ABIMulti-level Multiple Attentions for Contextual Multimodal Sentiment Analysis
Soujanya Poria, Erik Cambria, Devamanyu Hazarika +3
Статья2017Цитирований: 2ABIMultimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG
Jiahui Pan, Weijie Fang, Zhihang Zhang +3
Статья2023Цитирований: 2ABIlibrosa: Audio and Music Signal Analysis in Python
Brian McFee, Colin Raffel, Dawen Liang +4
Статья2015Цитирований: 2ABISMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition
Zheng Lian, Bin Liu, Jianhua Tao
Статья2022Цитирований: 2ABIText-Based Emotion Recognition Using Deep Learning Approach
Santosh Kumar Bharti, S Varadhaganapathy, Rajeev Kumar Gupta +4
Статья2022Цитирований: 2ABI