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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-49713-2_35openalex-extracted
Designing a Multimodal Emotional Interface in the Context of Negotiation
inferredcites →https://doi.org/10.1007/978-3-030-66415-2_52openalex-extracted
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
inferredcites →https://doi.org/10.1007/978-3-030-68790-8_10openalex-extracted
Combining Deep and Unsupervised Features for Multilingual Speech Emotion Recognition
inferredcites →https://doi.org/10.1007/978-3-030-80421-3_53openalex-extracted
Voice Emotion Recognition in Real Time Applications
inferredcites →https://doi.org/10.1007/978-3-030-80568-5_35openalex-extracted
Real-Time Multimodal Emotion Classification System in E-Learning Context
inferredcites →https://doi.org/10.1007/978-3-030-93046-2_66openalex-extracted
Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition
inferredcites →https://doi.org/10.1007/978-3-031-05643-7_33openalex-extracted
Emotional Communication Between Chatbots and Users: An Empirical Study on Online Customer Service System
inferredcites →https://doi.org/10.1007/978-3-031-15553-6_8openalex-extracted
Factors in the Cognitive-Emotional Impact of Educational Environmental Narrative Videogames
inferredcites →https://doi.org/10.1007/978-3-031-19836-6_9openalex-extracted
Emotion Recognition for Multiple Context Awareness
inferredcites →https://doi.org/10.1007/978-3-031-21422-6_10openalex-extracted
Convolutional Neural Networks Applied to Emotion Analysis in Texts: Experimentation from the Mexican Context
inferredcites →https://doi.org/10.1007/978-3-031-25075-0_11openalex-extracted
Multi-Task Learning Framework for Emotion Recognition In-the-Wild
inferredcites →https://doi.org/10.1007/978-3-319-18914-7_52openalex-extracted
Towards Emotionally Sensitive Conversational Interfaces for E-therapy
inferredcites →https://doi.org/10.1007/978-3-319-70093-9_86openalex-extracted
Multimodal Emotion Recognition Using Deep Neural Networks
inferredcites →https://doi.org/10.1007/978-981-10-7641-1_18openalex-extracted
An Efficient Context-Aware Music Recommendation Based on Emotion and Time Context
inferredcites →https://doi.org/10.1007/978-981-16-1740-9_54openalex-extracted
Multimodal Emotion Recognition System Using Machine Learning and Psychological Signals: A Review
inferredcites →https://doi.org/10.1007/978-981-33-6400-4_1openalex-extracted
Smart IoT Multimodal Emotion Recognition System Using Deep Learning Networks
inferredcites →https://doi.org/10.1007/s00521-023-09021-xopenalex-extracted
Swinv2-Imagen: hierarchical vision transformer diffusion models for text-to-image generation
inferredcites →https://doi.org/10.1007/s10015-022-00734-1openalex-extracted
Continuous estimation of emotional change using multimodal responses from remotely measured biological information
inferredcites →https://doi.org/10.1007/s10489-022-03729-4openalex-extracted
Incorporating structured emotion commonsense knowledge and interpersonal relation into context-aware emotion recognition
inferredcites →https://doi.org/10.1007/s10579-008-9076-6openalex-extracted
IEMOCAP: interactive emotional dyadic motion capture database
inferredcites →https://doi.org/10.1007/s10579-018-9427-xopenalex-extracted
ShEMO: a large-scale validated database for Persian speech emotion detection
inferredcites →https://doi.org/10.1007/s10639-022-11573-9openalex-extracted
Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms
inferredcites →https://doi.org/10.1007/s11042-021-10591-yopenalex-extracted
Correction to: Attention-based multimodal contextual fusion for sentiment and emotion classification using bidirectional LSTM
inferredcites →https://doi.org/10.1007/s11042-022-12110-zopenalex-extracted
Considering emotions and contextual factors in music recommendation: a systematic literature review
inferredcites →https://doi.org/10.1007/s11042-022-12310-7openalex-extracted
CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings
inferredcites →https://doi.org/10.1007/s11042-022-13254-8openalex-extracted
Building a three-level multimodal emotion recognition framework
inferredcites →https://doi.org/10.1007/s11042-022-13557-wopenalex-extracted
Joint modelling of audio-visual cues using attention mechanisms for emotion recognition
inferredcites →https://doi.org/10.1007/s11263-019-01158-4openalex-extracted
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
inferredcites →https://doi.org/10.1007/s11263-022-01716-3openalex-extracted
Going Deeper than Tracking: A Survey of Computer-Vision Based Recognition of Animal Pain and Emotions
inferredcites →https://doi.org/10.1007/s11517-022-02686-xopenalex-extracted
Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv architecture
inferredcites →https://doi.org/10.1007/s12369-019-00524-zopenalex-extracted
Multimodal Integration of Emotional Signals from Voice, Body, and Context: Effects of (In)Congruence on Emotion Recognition and Attitudes Towards Robots
inferredcites →https://doi.org/10.1007/s12369-023-00972-8openalex-extracted
Correction to: Utilizing an Emotional Robot Capable of Lip-Syncing in Robot-Assisted Speech Therapy Sessions for Children with Language Disorders
inferredcites →https://doi.org/10.1007/s12652-021-03367-7openalex-extracted
Detecting naturalistic expression of emotions using physiological signals while playing video games
inferredcites →https://doi.org/10.1007/s12652-021-03407-2openalex-extracted
Multimodal emotion recognition based on feature selection and extreme learning machine in video clips
inferredcites →https://doi.org/10.1007/s42979-022-01619-7openalex-extracted
Emotion Detection-Based Video Recommendation System Using Machine Learning and Deep Learning Framework
inferredcites →https://doi.org/10.1016/j.bspc.2020.101951openalex-extracted
Database for an emotion recognition system based on EEG signals and various computer games – GAMEEMO
inferredcites →https://doi.org/10.1016/j.bspc.2022.104060openalex-extracted
A data augmentation and channel selection technique for grading human emotions on DEAP dataset
inferredcites →https://doi.org/10.1016/j.bspc.2022.104211openalex-extracted
EEG emotion recognition based on TQWT-features and hybrid convolutional recurrent neural network
inferredcites →https://doi.org/10.1016/j.bspc.2023.104679openalex-extracted
Multi-cultural speech emotion recognition using language and speaker cues
inferredcites →https://doi.org/10.1016/j.caeai.2022.100109openalex-extracted
AI-based multidisciplinary framework to assess the impact of gamified video-based learning through schema and emotion analysis
inferredcites →https://doi.org/10.1016/j.caeai.2022.100116openalex-extracted
Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features
inferredcites →https://doi.org/10.1016/j.chb.2022.107211openalex-extracted
Sharing emotion while spectating video game play: Exploring Twitch users' emotional change after the outbreak of the COVID-19 pandemic
inferredcites →https://doi.org/10.1016/j.compbiomed.2023.106537openalex-extracted
Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis
inferredcites →https://doi.org/10.1016/j.compedu.2022.104708openalex-extracted
Developing social-emotional concepts for learning with video games
inferredcites →https://doi.org/10.1016/j.cviu.2025.104362openalex-extracted
A vector quantized masked autoencoder for audiovisual speech emotion recognition
inferredcites →https://doi.org/10.1016/j.eswa.2020.114177openalex-extracted
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach
inferredcites →https://doi.org/10.1016/j.eswa.2020.114274openalex-extracted
Learning meta-knowledge for few-shot image emotion recognition
inferredcites →https://doi.org/10.1016/j.eswa.2022.118534openalex-extracted
Multi-label emotion classification in texts using transfer learning
inferredcites →https://doi.org/10.1016/j.eswa.2023.120025openalex-extracted
A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid
inferredcites →https://doi.org/10.1016/j.eswa.2023.121368openalex-extracted
Semi-supervised cross-lingual speech emotion recognition
inferredcites →https://doi.org/10.1016/j.inffus.2018.10.009openalex-extracted
Human emotion recognition using deep belief network architecture
inferredcites →https://doi.org/10.1016/j.inffus.2020.01.011openalex-extracted
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
inferredcites →https://doi.org/10.1016/j.ipm.2021.102717openalex-extracted
Semi-supervised emotion recognition in textual conversation via a context-augmented auxiliary training task
inferredcites →https://doi.org/10.1016/j.iswa.2022.200171openalex-extracted
A systematic survey on multimodal emotion recognition using learning algorithms
inferredcites →https://doi.org/10.1016/j.jbi.2022.104258openalex-extracted
Textual emotion detection in health: Advances and applications
inferredcites →https://doi.org/10.1016/j.jvcir.2022.103679openalex-extracted
Context-Dependent Emotion Recognition
inferredcites →https://doi.org/10.1016/j.knosys.2022.110173openalex-extracted
Multi-source domain adaptation method for textual emotion classification using deep and broad learning
inferredcites →https://doi.org/10.1016/j.knosys.2022.110236openalex-extracted
TET: Text emotion transfer
inferredcites →https://doi.org/10.1016/j.knosys.2023.110372openalex-extracted
EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network
inferredcites →https://doi.org/10.1016/j.patrec.2022.08.014openalex-extracted
A multimodal hyperlapse method based on video and songs’ emotion alignment
inferredcites →https://doi.org/10.1016/j.specom.2021.05.010openalex-extracted
Use of affect context in dyadic interactions for continuous emotion recognition
inferredcites →https://doi.org/10.1080/09540091.2023.2189217openalex-extracted
Multi-branch feature learning based speech emotion recognition using SCAR-NET
inferredcites →https://doi.org/10.1088/1742-6596/1501/1/012020openalex-extracted
Emotion Recognition Based on DEAP Database using EEG Time-Frequency Features and Machine Learning Methods
inferredcites →https://doi.org/10.1089/cyber.2022.0246openalex-extracted
Promoting Emotional and Psychological Well-Being During COVID-19 Pandemic: A Self-Help Virtual Reality Intervention for University Students
inferredcites →https://doi.org/10.1093/jcmc/zmab005openalex-extracted
Emotional Support from AI Chatbots: Should a Supportive Partner Self-Disclose or Not?
inferredcites →https://doi.org/10.1109/access.2019.2911714openalex-extracted
An Emotion-Embedded Visual Attention Model for Dimensional Emotion Context Learning
inferredcites →https://doi.org/10.1109/access.2019.2928691openalex-extracted
Interpretable Emotion Recognition Using EEG Signals
inferredcites →https://doi.org/10.1109/access.2019.2944001openalex-extracted
A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals
inferredcites →https://doi.org/10.1109/access.2020.2990405openalex-extracted
Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM
inferredcites →https://doi.org/10.1109/access.2021.3051281openalex-extracted
Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset
inferredcites →https://doi.org/10.1109/access.2021.3067460openalex-extracted
Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset
inferredcites →https://doi.org/10.1109/access.2022.3221408openalex-extracted
Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations
inferredcites →https://doi.org/10.1109/access.2022.3228825openalex-extracted
Human–Robot Collaboration Using Sequential-Recurrent-Convolution-Network-Based Dynamic Face Emotion and Wireless Speech Command Recognitions
inferredcites →https://doi.org/10.1109/access.2023.3237268openalex-extracted
Design of Efficient Speech Emotion Recognition Based on Multi Task Learning
inferredcites →https://doi.org/10.1109/access.2023.3255887openalex-extracted
Affective Image Captioning for Visual Artworks Using Emotion-Based Cross-Attention Mechanisms
inferredcites →https://doi.org/10.1109/access.2023.3266117openalex-extracted
Bi-Branch Vision Transformer Network for EEG Emotion Recognition
inferredcites →https://doi.org/10.1109/access.2023.3266804openalex-extracted
Emotion Recognition Using Temporally Localized Emotional Events in EEG With Naturalistic Context: DENS# Dataset
inferredcites →https://doi.org/10.1109/access.2023.3270317openalex-extracted
EEG-Based Emotion Recognition Using Spatial-Temporal-Connective Features via Multi-Scale CNN
inferredcites →https://doi.org/10.1109/acii55700.2022.9953891openalex-extracted
AVDOS - Affective Video Database Online Study Video database for affective research emotionally validated through an online survey
inferredcites →https://doi.org/10.1109/apcc55198.2022.9943771openalex-extracted
Speech Emotion Recognition using Context-Aware Dilated Convolution Network
inferredcites →https://doi.org/10.1109/ase.2019.00031openalex-extracted
Emotions Extracted from Text vs. True Emotions–An Empirical Evaluation in SE Context
inferredcites →https://doi.org/10.1109/asru46091.2019.9004037openalex-extracted
Spatio-Temporal Context Modelling for Speech Emotion Classification
inferredcites →https://doi.org/10.1109/cig.2019.8848060openalex-extracted
Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01424openalex-extracted
EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00173openalex-extracted
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00641openalex-extracted
Decoupled Multimodal Distilling for Emotion Recognition
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00038openalex-extracted
High-level context representation for emotion recognition in images
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00611openalex-extracted
Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5
inferredcites →https://doi.org/10.1109/cw55638.2022.00024openalex-extracted
Evaluation of time-shifted emotion through shared emoji reactions in a video watching experience
inferredcites →https://doi.org/10.1109/embc48229.2022.9871388openalex-extracted
Applying Big Transfer-based classifiers to the DEAP dataset
inferredcites →https://doi.org/10.1109/icassp43922.2022.9746679openalex-extracted
LIGHT-SERNET: A Lightweight Fully Convolutional Neural Network for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747095openalex-extracted
Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information
inferredcites →https://doi.org/10.1109/icassp49357.2023.10095728openalex-extracted
Contextually-Rich Human Affect Perception Using Multimodal Scene Information
inferredcites →https://doi.org/10.1109/icassp49357.2023.10096370openalex-extracted
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/icbme.2018.8703559openalex-extracted
Emotion Recognition with Machine Learning Using EEG Signals
inferredcites →https://doi.org/10.1109/iccae56788.2023.10111252openalex-extracted
Time Domain Analysis for Emotional EEG Signals of Stroke Patient and Normal Subject
inferredcites →https://doi.org/10.1109/icce56470.2023.10043446openalex-extracted
Epistemic Emotion Detection by Video-based and Heart Rate Variability Features for Online Learning
inferredcites →https://doi.org/10.1109/iccke54056.2021.9721504openalex-extracted
Emotion Recognition In Persian Speech Using Deep Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2019.01024openalex-extracted
Context-Aware Emotion Recognition Networks
inferredcites →https://doi.org/10.1109/icdar.2011.17openalex-extracted
CASIA Online and Offline Chinese Handwriting Databases
inferredcites →https://doi.org/10.1109/icme.2019.00034openalex-extracted
Context-Aware Affective Graph Reasoning for Emotion Recognition
inferredcites →https://doi.org/10.1109/icmew.2013.6618342openalex-extracted
Evaluating music emotion recognition: Lessons from music genre recognition?
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489099openalex-extracted
The OMG-Emotion Behavior Dataset
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489125openalex-extracted
Physiological-Based Emotion Detection and Recognition in a Video Game Context
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892017openalex-extracted
E-EmotiConNet: EEG-based Emotion Recognition with Context Information
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892165openalex-extracted
Comparing Neural Networks for Speech Emotion Recognition in Customer Service Interactions
inferredcites →https://doi.org/10.1109/iria53009.2021.9588702openalex-extracted
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer Perceptron
inferredcites →https://doi.org/10.1109/ismar-adjunct54149.2021.00105openalex-extracted
Using Context and Physiological Cues to Improve Emotion Recognition in Virtual Reality
inferredcites →https://doi.org/10.1109/jbhi.2023.3242090openalex-extracted
A Domain Generative Graph Network for EEG-Based Emotion Recognition
inferredcites →https://doi.org/10.1109/lsp.2022.3210836openalex-extracted
Contextual and Cross-Modal Interaction for Multi-Modal Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/mmul.2021.3068387openalex-extracted
Multimodal and Context-Aware Emotion Perception Model With Multiplicative Fusion
inferredcites →https://doi.org/10.1109/mmul.2022.3173430openalex-extracted
Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition
inferredcites →https://doi.org/10.1109/msp.2021.3106232openalex-extracted
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications
inferredcites →https://doi.org/10.1109/ocit53463.2021.00073openalex-extracted
Assessing Emotional Well-being of Students using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/sita.2015.7358408openalex-extracted
I-CARE: Intelligent Context Aware system for Recognizing Emotions from text
inferredcites →https://doi.org/10.1109/smap56125.2022.9942096openalex-extracted
Facially Expressed Emotions and Hedonic Liking on Social Media Food Marketing Campaigns:Comparing Different Types of Products and Media Posts
inferredcites →https://doi.org/10.1109/t-affc.2011.15openalex-extracted
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
inferredcites →https://doi.org/10.1109/taffc.2017.2663421openalex-extracted
On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music
inferredcites →https://doi.org/10.1109/taffc.2018.2840988openalex-extracted
Induction of Emotional States in Educational Video Games Through a Fuzzy Control System
inferredcites →https://doi.org/10.1109/taffc.2019.2955949openalex-extracted
Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset
inferredcites →https://doi.org/10.1109/taffc.2020.2994159openalex-extracted
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
inferredcites →https://doi.org/10.1109/taffc.2020.3038401openalex-extracted
Active Learning With Complementary Sampling for Instructing Class-Biased Multi-Label Text Emotion Classification
inferredcites →https://doi.org/10.1109/taffc.2021.3051332openalex-extracted
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals
inferredcites →https://doi.org/10.1109/taffc.2021.3053275openalex-extracted
A Survey of Textual Emotion Recognition and Its Challenges
inferredcites →https://doi.org/10.1109/taffc.2021.3064940openalex-extracted
Variational Instance-Adaptive Graph for EEG Emotion Recognition
inferredcites →https://doi.org/10.1109/taffc.2021.3100868openalex-extracted
Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition
inferredcites →https://doi.org/10.1109/tamd.2015.2431497openalex-extracted
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
inferredcites →https://doi.org/10.1109/taslp.2022.3171965openalex-extracted
ISNet: Individual Standardization Network for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/tbme.2019.2943062openalex-extracted
Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning
inferredcites →https://doi.org/10.1109/tc.2019.2941875openalex-extracted
Fast and Efficient Convolutional Accelerator for Edge Computing
inferredcites →https://doi.org/10.1109/tcss.2022.3158605openalex-extracted
Investigations in Emotion Aware Multimodal Gender Prediction Systems From Social Media Data
inferredcites →https://doi.org/10.1109/tencon.2019.8929257openalex-extracted
Emotion Recognition from Raw Speech using Wavenet
inferredcites →https://doi.org/10.1109/tpami.2019.2916866openalex-extracted
Context Based Emotion Recognition using EMOTIC Dataset
inferredcites →https://doi.org/10.1109/vrw55335.2022.00331openalex-extracted
[DC] Exploration of Context and Physiological Cues for Personalized Emotion-Adaptive Virtual Reality
inferredcites →https://doi.org/10.1111/jcal.12654openalex-extracted
Emotional and cognitive effects of learning with computer simulations and computer videogames
inferredcites →https://doi.org/10.1142/s0219467823500080openalex-extracted
A Descriptive Survey on Face Emotion Recognition Techniques
inferredcites →https://doi.org/10.1145/3343031.3350871openalex-extracted
Emotion Recognition using Multimodal Residual LSTM Network
inferredcites →https://doi.org/10.1145/3382507.3417973openalex-extracted
EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges
inferredcites →https://doi.org/10.1145/3382507.3418814openalex-extracted
Exploring Personal Memories and Video Content as Context for Facial Behavior in Predictions of Video-Induced Emotions
inferredcites →https://doi.org/10.1145/3411763.3451721openalex-extracted
Hidden Emotion Detection using Multi-modal Signals
inferredcites →https://doi.org/10.1145/3503161.3547886openalex-extracted
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos
inferredcites →https://doi.org/10.1145/3503161.3548373openalex-extracted
Learning from Label Relationships in Human Affect
inferredcites →https://doi.org/10.1145/3505270.3558370openalex-extracted
Understanding Emotional Experience in Video Games: A Psychophysiological Investigation
inferredcites →https://doi.org/10.1145/3576913openalex-extracted
HateCircle and Unsupervised Hate Speech Detection Incorporating Emotion and Contextual Semantics
inferredcites →https://doi.org/10.1145/3581641.3584045openalex-extracted
The Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational Agents
inferredcites →https://doi.org/10.1145/3604321.3604333openalex-extracted
Happy or Sad, Smiling or Drawing with Multimodal Search and Visualisation of Movies Based on Emotions Along Time
inferredcites →https://doi.org/10.1145/3606039.3613114openalex-extracted
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation
inferredcites →https://doi.org/10.1155/2021/5441631openalex-extracted
Personalized Online Education Learning Strategies Based on Transfer Learning Emotion Classification Model
inferredcites →https://doi.org/10.1155/2022/9696422openalex-extracted
Modeling and Analysis of Learners’ Emotions and Behaviors Based on Online Forum Texts
inferredcites →https://doi.org/10.1166/jmihi.2020.2865openalex-extracted
Convolutional Neural Network Monitoring of Sleep Characteristics of Senile Dementia Patients Using EEG Big Data Analysis
inferredcites →https://doi.org/10.1177/0305735617713834openalex-extracted
Popular music and the role of vocal melody in perceived emotion
inferredcites →https://doi.org/10.1186/s13636-021-00208-5openalex-extracted
End-to-end speech emotion recognition using a novel context-stacking dilated convolution neural network
inferredcites →https://doi.org/10.1186/s13636-023-00289-4openalex-extracted
Speech emotion recognition based on emotion perception
inferredcites →https://doi.org/10.1201/9781003121152-2openalex-extracted
Sleep Stage Classification Using DWT and Dispersion Entropy Applied on EEG Signals
inferredcites →https://doi.org/10.1371/journal.pone.0196391openalex-extracted
The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English
inferredcites →https://doi.org/10.1504/ijaip.2023.128080openalex-extracted
A supervised multinomial classification framework for emotion recognition in textual social data
inferredcites →https://doi.org/10.1525/mp.2018.36.2.217openalex-extracted
Challenges and Opportunities of Predicting Musical Emotions with Perceptual and Automatized Features
inferredcites →https://doi.org/10.1525/mp.2020.37.3.185openalex-extracted
Cross-Cultural Work in Music Cognition
inferredcites →https://doi.org/10.1609/aaai.v35i15.17625openalex-extracted
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
inferredcites →https://doi.org/10.17977/um018v5i12022p41-52openalex-extracted
A Comparison of Machine Learning Models to Prioritise Emailsusing Emotion Analysis for Customer Service Excellence
inferredcites →https://doi.org/10.18280/ts.380213openalex-extracted
Machine Learning-Based Emotional Recognition in Surveillance Video Images in the Context of Smart City Safety
inferredcites →https://doi.org/10.18280/ts.380612openalex-extracted
GameEmo-CapsNet: Emotion Recognition from Single-Channel EEG Signals Using the 1D Capsule Networks
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.483openalex-extracted
Exploiting Narrative Context and A Priori Knowledge of Categories in Textual Emotion Classification
inferredcites →https://doi.org/10.18653/v1/2021.naacl-industry.17openalex-extracted
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.391openalex-extracted
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database
inferredcites →https://doi.org/10.18653/v1/2022.acl-srw.3openalex-extracted
Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.347openalex-extracted
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.534openalex-extracted
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.306openalex-extracted
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
inferredcites →https://doi.org/10.18653/v1/e17-2068openalex-extracted
Bag of Tricks for Efficient Text Classification
inferredcites →https://doi.org/10.18653/v1/p17-1081openalex-extracted
Context-Dependent Sentiment Analysis in User-Generated Videos
inferredcites →https://doi.org/10.18653/v1/p18-1208openalex-extracted
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
inferredcites →https://doi.org/10.18653/v1/p19-1050openalex-extracted
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
inferredcites →https://doi.org/10.18653/v1/s19-2005openalex-extracted
SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text
inferredcites →https://doi.org/10.18653/v1/s19-2006openalex-extracted
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT
inferredcites →https://doi.org/10.18653/v1/s19-2027openalex-extracted
ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector
inferredcites →https://doi.org/10.18653/v1/s19-2033openalex-extracted
EMOMINER at SemEval-2019 Task 3: A Stacked BiLSTM Architecture for Contextual Emotion Detection in Text
inferredcites →https://doi.org/10.18653/v1/s19-2045openalex-extracted
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
inferredcites →https://doi.org/10.18653/v1/s19-2057openalex-extracted
SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations
inferredcites →https://doi.org/10.20965/jaciii.2023.p0084openalex-extracted
Beyond Sentiment Analysis: A Review of Recent Trends in Text Based Sentiment Analysis and Emotion Detection
inferredcites →https://doi.org/10.21203/rs.3.rs-3051650/v1openalex-extracted
Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus
inferredcites →https://doi.org/10.21437/interspeech.2020-1180openalex-extracted
End-to-End Speech Emotion Recognition Combined with Acoustic-to-Word ASR Model
inferredcites →https://doi.org/10.21437/interspeech.2020-1705openalex-extracted
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition
inferredcites →https://doi.org/10.21437/interspeech.2021-1775openalex-extracted
SUPERB: Speech Processing Universal PERformance Benchmark
inferredcites →https://doi.org/10.21437/interspeech.2021-1840openalex-extracted
Temporal Context in Speech Emotion Recognition
inferredcites →https://doi.org/10.21437/interspeech.2021-1852openalex-extracted
Speech Emotion Recognition with Multi-Task Learning
inferredcites →https://doi.org/10.21437/interspeech.2021-411openalex-extracted
Speech Emotion Recognition Based on Attention Weight Correction Using Word-Level Confidence Measure
inferredcites →https://doi.org/10.21437/interspeech.2021-703openalex-extracted
Emotion Recognition from Speech Using wav2vec 2.0 Embeddings
inferredcites →https://doi.org/10.21437/interspeech.2022-10592openalex-extracted
Context-aware Multimodal Fusion for Emotion Recognition
inferredcites →https://doi.org/10.22456/2175-2745.111817openalex-extracted
Towards Causal Effect Estimation of Emotional Labeling of Watched Videos
inferredcites →https://doi.org/10.26342/2021-67-6openalex-extracted
Unimodal Feature-level improvement on Multimodal CMU-MOSEI Dataset: Uncorrelated and Convolved Feature Sets
inferredcites →https://doi.org/10.26615/978-954-452-072-4_151openalex-extracted
Exploring Reliability of Gold Labels for Emotion Detection in Twitter
inferredcites →https://doi.org/10.3233/ida-205587openalex-extracted
Contextual emotion detection on text using gaussian process and tree based classifiers
inferredcites →https://doi.org/10.3233/jifs-189197openalex-extracted
Emotion recognition from physiological signals and video games to detect personality traits
inferredcites →https://doi.org/10.3233/jifs-220280openalex-extracted
Towards enhancing emotion recognition via multimodal framework
inferredcites →https://doi.org/10.32604/csse.2023.026234openalex-extracted
Emotional Vietnamese Speech Synthesis Using Style-Transfer Learning
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