Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition | Paper Citation Record

Observation dcaad6fd-f495-4a5d-91a5-41f58826a32c · outbound

This paper cites Multi- modal emotion recognition with temporal and semantic consistency,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Multi- modal emotion recognition with temporal and semantic consistency,

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Observation df03fbe2-a4d6-4e08-97cf-8447872d2b92 · outbound

This paper cites Graphcfc: A directed graph based cross-modal feature complementation approach for multimodal conversational emotion recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Graphcfc: A directed graph based cross-modal feature complementation approach for multimodal conversational emotion recognition,

Reference 2

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This paper cites Emocov: Machine learning for emotion detection, analysis and visualization using covid-19 tweets,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Emocov: Machine learning for emotion detection, analysis and visualization using covid-19 tweets,

Reference 3

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This paper cites Recognition of emotions in user-generated videos through frame-level adaptation and emotion intensity learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Recognition of emotions in user-generated videos through frame-level adaptation and emotion intensity learning,

Reference 4

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This paper cites Customer preferences extraction for air purifiers based on fine-grained sentiment analysis of online reviews,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Customer preferences extraction for air purifiers based on fine-grained sentiment analysis of online reviews,

Reference 5

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Observation 536e2a3e-02b8-42d0-bfc6-36648d9f6908 · outbound

This paper cites Self-organizing double function-link fuzzy brain emotional control system design for uncertain nonlinear systems,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Self-organizing double function-link fuzzy brain emotional control system design for uncertain nonlinear systems,

Reference 6

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Observation 6c74cc1f-2b11-4939-8a96-0ece3a1bdf01 · outbound

This paper cites Intelligent cockpit for intelligent vehicle in metaverse: A case study of empathetic auditory regulation of human emotion,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Intelligent cockpit for intelligent vehicle in metaverse: A case study of empathetic auditory regulation of human emotion,

Reference 7

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This paper cites Subtype-aware unsupervised domain adap- tation for medical diagnosis,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Subtype-aware unsupervised domain adap- tation for medical diagnosis,

Reference 8

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Observation b2730a59-70ae-4e58-9819-2205586e918a · outbound

This paper cites Fine-grained image analysis with deep learning: A survey,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Fine-grained image analysis with deep learning: A survey,

Reference 9

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Observation 25e62902-ded8-4435-83f1-1603403a2e93 · outbound

This paper cites Disturbance rejection in mimo systems with emotional-learning-based controller: Application to variable rotor-speed helicopters,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Disturbance rejection in mimo systems with emotional-learning-based controller: Application to variable rotor-speed helicopters,

Reference 10

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Observation 8a191e8a-8a8f-4e62-9ed4-315d681350d4 · outbound

This paper cites Brain network manifold learned by cognition-inspired graph embedding model for emotion recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Brain network manifold learned by cognition-inspired graph embedding model for emotion recognition,

Reference 11

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Observation 9c102342-3a38-42e4-93af-04468e374cd5 · outbound

This paper cites Combining a parallel 2d cnn with a self-attention dilated residual network for ctc-based discrete speech emotion recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Combining a parallel 2d cnn with a self-attention dilated residual network for ctc-based discrete speech emotion recognition,

Reference 12

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Observation e28a84e0-ae73-4764-973e-b886e2a97ff1 · outbound

This paper cites Mlg-ncs: Multimodal local–global neuromorphic computing system for affective video content analysis,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Mlg-ncs: Multimodal local–global neuromorphic computing system for affective video content analysis,

Reference 13

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Observation 253ab10c-104a-4d78-959a-6caa5435f40c · outbound

This paper cites User preference mining based on fine-grained sentiment analysis,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition User preference mining based on fine-grained sentiment analysis,

Reference 14

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Observation 5cb8c857-548d-4fbd-a3fb-900b986fef80 · outbound

This paper cites Few-shot learning for fine-grained emotion recognition using physiological signals,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Few-shot learning for fine-grained emotion recognition using physiological signals,

Reference 15

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Observation fafa05ad-f86d-46a2-a471-c7bdd2d81967 · outbound

This paper cites Challenges in the diagnosis of parkinson’s disease,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Challenges in the diagnosis of parkinson’s disease,

Reference 16

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Observation d053966c-9a64-4f3e-b955-4c25de3dfc47 · outbound

This paper cites Multimodal emotion classification with multi-level semantic reasoning network,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Multimodal emotion classification with multi-level semantic reasoning network,

Reference 17

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Observation b9873f12-2302-438c-b3c0-10823c374d0e · outbound

This paper cites UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition

Reference 18

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Observation 469e3b3e-f030-4bfd-8229-0341f53fea75 · outbound

This paper cites MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Reference 19

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Observation 85e71989-0379-4afb-99aa-e24b77f1a110 · outbound

This paper cites Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Reference 20

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Observation 29f00b2c-fd92-411a-b8e5-b6fc0c318d63 · outbound

This paper cites Emotion recognition in conversation: Research challenges, datasets, and recent advances,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Emotion recognition in conversation: Research challenges, datasets, and recent advances,

Reference 21

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This paper cites Feda: Fine- grained emotion difference analysis for facial expression recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Feda: Fine- grained emotion difference analysis for facial expression recognition,

Reference 22

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Observation bced3eae-1836-4384-a2f4-a05c0efab359 · outbound

This paper cites Fine-grained facial expression recognition in the wild,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Fine-grained facial expression recognition in the wild,

Reference 23

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Observation b035d96a-a7bb-453d-b3b7-17eb034f0c0c · outbound

This paper cites Training deep networks for facial expression recognition with crowd-sourced label distribution,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Training deep networks for facial expression recognition with crowd-sourced label distribution,

Reference 24

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Observation 457f349e-49a1-4ffa-a2dd-fa52aba239a6 · outbound

This paper cites Adaptive weighting of handcrafted feature losses for facial expression recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Adaptive weighting of handcrafted feature losses for facial expression recognition,

Reference 25

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Observation 870b622b-a392-4735-80cb-d16e8a2acfe8 · outbound

This paper cites Mixed feelings: expression of non-basic emotions in a muscle-based talking head,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Mixed feelings: expression of non-basic emotions in a muscle-based talking head,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.918285Z

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Observation 30762f56-392c-4266-9997-f3f2f2bf7368 · outbound

This paper cites Convolutional features-based broad learning with lstm for multidimensional facial emotion recognition in human–robot interaction,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Convolutional features-based broad learning with lstm for multidimensional facial emotion recognition in human–robot interaction,

Reference 27

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Observation af6362f7-738b-4fac-908f-a2ec6533bde9 · outbound

This paper cites A review of affective computing: From unimodal analysis to multimodal fusion,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition A review of affective computing: From unimodal analysis to multimodal fusion,

Reference 28

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Observation 034e7eb2-6af3-4e65-a7bf-b43ea5f1ccf1 · outbound

This paper cites Design and analysis of a closed-loop emotion regulation system based on multimodal affective computing and emotional markov chain,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Design and analysis of a closed-loop emotion regulation system based on multimodal affective computing and emotional markov chain,

Reference 29

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Observation b43e563f-d1e4-4413-8db5-88f259bad752 · outbound

This paper cites Long dialogue emotion detection based on commonsense knowledge graph guidance,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Long dialogue emotion detection based on commonsense knowledge graph guidance,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.871699Z

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Observation 5028ea18-9ba5-49b1-a444-9a2f188aef31 · outbound

This paper cites Emotional expression: Advances in basic emotion theory,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Emotional expression: Advances in basic emotion theory,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.860768Z

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Observation c5526989-4b72-49bb-81e6-ebb9e34e1f01 · outbound

This paper cites Multimodal spontaneous emotion corpus for human behavior analysis,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Multimodal spontaneous emotion corpus for human behavior analysis,

Reference 32

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Observation af42d7f1-814c-4c18-aacc-d7f21e087668 · outbound

This paper cites A survey of textual emotion detection,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition A survey of textual emotion detection,

Reference 33

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Observation a7b13acf-a810-4827-babf-dc1db6e28c00 · outbound

This paper cites Facial expression recognition based on deep learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Facial expression recognition based on deep learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.826803Z

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Observation f2f94c65-0156-473b-a5f7-a42b5fa12261 · outbound

This paper cites A real time facial expression classification system using local binary patterns,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition A real time facial expression classification system using local binary patterns,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.814662Z

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Observation af6e47ee-0bde-416c-af49-d535bb4912f7 · outbound

This paper cites Human facial expression recognition using stepwise linear discriminant analysis and hidden conditional random fields,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Human facial expression recognition using stepwise linear discriminant analysis and hidden conditional random fields,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.802061Z

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Observation ed75bb44-fcb3-4d5e-9d25-ace19833b16c · outbound

This paper cites Facial expression recognition based on local region specific features and support vector machines,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Facial expression recognition based on local region specific features and support vector machines,

Reference 37

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Observation 3956326d-be22-42de-b870-c300d2962361 · outbound

This paper cites A brief review of facial emotion recognition based on visual information,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition A brief review of facial emotion recognition based on visual information,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.775764Z

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Observation 39a86d04-ea6a-4576-b50a-7d5708c4134b · outbound

This paper cites Geometric-convolutional feature fusion based on learning propagation for facial expression recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Geometric-convolutional feature fusion based on learning propagation for facial expression recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.763224Z

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Observation d8477e61-bb0d-4ded-9394-d33b95ade90b · outbound

This paper cites Ga-svm-based facial emotion recognition using facial geometric features,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Ga-svm-based facial emotion recognition using facial geometric features,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.750507Z

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Observation 6ff49f3f-93f8-4c9e-9597-b7299d41db8e · outbound

This paper cites Graph based feature extraction and hybrid classification approach for facial expression recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Graph based feature extraction and hybrid classification approach for facial expression recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.738466Z

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Observation 6ef951ae-713c-41ac-ad88-3d9e656e8efd · outbound

This paper cites Mer-gcn: Micro- expression recognition based on relation modeling with graph convolu- tional networks,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Mer-gcn: Micro- expression recognition based on relation modeling with graph convolu- tional networks,

Reference 42

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Observation 67fa81a7-b614-40ca-acfc-3438c5c7d943 · outbound

This paper cites Facial expression recog- nition based on deep evolutional spatial-temporal networks,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Facial expression recog- nition based on deep evolutional spatial-temporal networks,

Reference 43

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Observation 9fe2bb05-d4d4-4712-8645-c513b353a952 · outbound

This paper cites Fg-agr: Fine- grained associative graph representation for facial expression recognition in the wild,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Fg-agr: Fine- grained associative graph representation for facial expression recognition in the wild,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.701443Z

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Observation 37b1d703-9a0a-489e-a558-898b8c5c040a · outbound

This paper cites Are there basic emotions?.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Are there basic emotions?

Reference 45

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This paper cites Eeg-based emotion recognition: A state-of-the-art review of current trends and opportunities,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Eeg-based emotion recognition: A state-of-the-art review of current trends and opportunities,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.681034Z

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Observation e3452342-eaa1-45dc-8ff0-94ba831610cb · outbound

This paper cites Gut microbiota and fear processing in women affected by obesity: An exploratory pilot study,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Gut microbiota and fear processing in women affected by obesity: An exploratory pilot study,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.668934Z

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Observation 19b32003-f446-4c35-9b73-526bdbae52ef · outbound

This paper cites Emo-sensory commu- nication, emo-sensory intelligence and gender,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Emo-sensory commu- nication, emo-sensory intelligence and gender,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.656231Z

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Observation 51b909ff-9373-4731-aabd-d14d40c4e5b7 · outbound

This paper cites Emotion recognition from geometric fuzzy member- ship functions,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Emotion recognition from geometric fuzzy member- ship functions,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.644372Z

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Observation ca23ce62-2b44-4978-8670-bfe4027688a4 · outbound

This paper cites Group based emotion recognition from video sequence with hybrid optimization based recurrent fuzzy neural network,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Group based emotion recognition from video sequence with hybrid optimization based recurrent fuzzy neural network,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.631881Z

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Observation 2e1360c7-6d12-465a-a6a3-1c127e776147 · outbound

This paper cites Human emotion recognition based on active appearance model and semi-supervised fuzzy c-means,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Human emotion recognition based on active appearance model and semi-supervised fuzzy c-means,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.618158Z

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Observation dc005f49-716c-4eb0-b496-796c872db5fe · outbound

This paper cites A review on machine learning styles in computer vision-techniques and future directions,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition A review on machine learning styles in computer vision-techniques and future directions,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.605360Z

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Observation cc44a70e-6688-4524-aa04-20cc8642cee8 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 53

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Observation ad8c3ff7-2474-4000-be43-c028ec626621 · outbound

This paper cites Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 55

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Observation 99a159d8-344d-4f8a-84a5-2ada32b69308 · outbound

This paper cites Meta-learning with memory-augmented neural networks,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Meta-learning with memory-augmented neural networks,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.586377Z

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Observation 0c76413f-26b5-43d5-aeae-7d1154aff0f3 · outbound

This paper cites Meta-learning improves lifelong rela- tion extraction,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Meta-learning improves lifelong rela- tion extraction,

Reference 57

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Observation 802ab0b8-2841-42c7-98d0-e3efcaaceb82 · outbound

This paper cites Variational metric scaling for metric-based meta-learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Variational metric scaling for metric-based meta-learning,

Reference 60

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Observation acc278e9-d86d-402c-aa81-6a4bcd63af9c · outbound

This paper cites Deep neural network for emotion recognition based on meta-transfer learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Deep neural network for emotion recognition based on meta-transfer learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.534953Z

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Observation 3c8c8fa4-349b-449a-bf71-a6bda1ac7a58 · outbound

This paper cites Emotion recognition from facial images with simultaneous occlusion, pose and illumination variations using meta-learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Emotion recognition from facial images with simultaneous occlusion, pose and illumination variations using meta-learning,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.522142Z

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Observation 37a762a0-4a46-4e32-9427-1f55cd716735 · outbound

This paper cites Meta-transfer learning for emotion recogni- tion,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Meta-transfer learning for emotion recogni- tion,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.509820Z

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Observation 39c13346-690c-4933-99b8-45b2c834019b · outbound

This paper cites Cluster-level contrastive learning for emotion recognition in conversations,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Cluster-level contrastive learning for emotion recognition in conversations,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.497771Z

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Observation fe879cd2-c783-494a-9106-610a6ffd05ae · outbound

This paper cites The psychology of emotion regulation: An integrative review,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition The psychology of emotion regulation: An integrative review,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.485917Z

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Observation 633144a2-ac10-4749-94ed-711f03d6e706 · outbound

This paper cites Comparison of mamdani-type and sugeno-type fuzzy inference systems for air conditioning system,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Comparison of mamdani-type and sugeno-type fuzzy inference systems for air conditioning system,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.474141Z

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Observation f364037a-7291-431e-aade-a68cd5d10855 · outbound

This paper cites Disfa: A spontaneous facial action intensity database,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Disfa: A spontaneous facial action intensity database,

Reference 67

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Observation 8c50614d-b9af-46f8-b656-ffd117a9b6ca · outbound

This paper cites Look at boundary: A boundary-aware face alignment algorithm,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Look at boundary: A boundary-aware face alignment algorithm,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.455219Z

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Observation 69433067-3482-4779-8e2b-94e459de4fdb · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 69

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Observation 85e438a0-3e59-412f-9634-d7ed2cb3f0c0 · outbound

This paper cites Rethinking graph neural architecture search from message-passing,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Rethinking graph neural architecture search from message-passing,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.442519Z

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Observation 0efca3be-39de-401e-93db-c8940cc90ff4 · outbound

This paper cites Fitness functions in evolutionary robotics: A survey and analysis,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Fitness functions in evolutionary robotics: A survey and analysis,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.431195Z

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Observation c3b555f2-f39e-4529-a204-1dde5667b87a · outbound

This paper cites Fitness function design to improve evolutionary structural testing,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Fitness function design to improve evolutionary structural testing,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.419264Z

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Observation ca54d480-ca6d-41e3-b6e8-55674f20ce9e · outbound

This paper cites Improving adam optimizer,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Improving adam optimizer,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.407464Z

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Observation ea3cafb7-a9eb-43db-a2c7-d7c52412461d · outbound

This paper cites The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.395322Z

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Observation d16a6735-30b3-479b-8663-02d46561f642 · outbound

This paper cites Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph,

Reference 75

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Observation b857388c-defc-4233-8a66-49dab610afb7 · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Crema-d: Crowd-sourced emotional multimodal actors dataset,

Reference 76

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Observation 1d105cf7-4880-4882-8896-c4bfa7950ddc · outbound

This paper cites Tailor versatile multi-modal learning for multi-label emotion recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Tailor versatile multi-modal learning for multi-label emotion recognition,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.370081Z

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Observation ad3ba909-e5ad-4066-b389-16c2f98ee302 · outbound

This paper cites Openface: an open source facial behavior analysis toolkit,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Openface: an open source facial behavior analysis toolkit,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.358244Z

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Observation ef8c1a9d-5951-4f0f-ba13-2fcc0edf68f8 · outbound

This paper cites Glove: Global vectors for word representation,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Glove: Global vectors for word representation,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T13:04:43.948463Z

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Observation 54e75f7e-6842-40df-8903-cc0126176f78 · outbound

This paper cites Facenet2expnet: Regularizing a deep face recognition net for expression recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Facenet2expnet: Regularizing a deep face recognition net for expression recognition,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.339086Z

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Observation a3201cca-7439-4b21-a5af-aa0016702064 · outbound

This paper cites Pre-training strategies and datasets for facial representation learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Pre-training strategies and datasets for facial representation learning,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.327640Z

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Observation 74e3ae8c-4d8f-469b-bbaa-10a8a31ad4f0 · outbound

This paper cites Propagationnet: Propagate points to curve to learn structure information,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Propagationnet: Propagate points to curve to learn structure information,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.314856Z

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Observation 3681e68a-cac1-41d8-9fff-9412e0451661 · outbound

This paper cites SepTr: Separable Transformer for Audio Spectrogram Processing.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition SepTr: Separable Transformer for Audio Spectrogram Processing

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:04:44.090789Z

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Observation 9845aab8-323d-41b0-a5b0-75824c0dc7e7 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition On First-Order Meta-Learning Algorithms

Reference 84

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Observation e6779b1d-0c4b-42dd-8729-f51d0c1a00c4 · outbound

This paper cites Prototypical networks for few-shot learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Prototypical networks for few-shot learning,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T13:04:43.971299Z

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Observation 170c5e12-f89e-4f11-a831-e7b2784218b2 · outbound

This paper cites Learning to compare: Relation network for few-shot learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Learning to compare: Relation network for few-shot learning,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T13:04:43.974722Z

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Observation b8d6e815-0e55-4f73-b71b-2825e5142474 · outbound

This paper cites Hacking Task Confounder in Meta-Learning.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Hacking Task Confounder in Meta-Learning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T13:04:43.978015Z

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Observation 2d241a6a-1752-499c-b2db-9888b170e5f0 · outbound

This paper cites Combining deep and unsupervised features for multilingual speech emotion recognition,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Combining deep and unsupervised features for multilingual speech emotion recognition,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.303439Z

Source-reported events for the cited work

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Observation 55467821-8808-4e15-a4b2-dd80f29336f8 · outbound

This paper cites COGMEN: COntextualized GNN based Multimodal Emotion recognitioN.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition COGMEN: COntextualized GNN based Multimodal Emotion recognitioN

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-11T13:04:43.985498Z

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Observation bbe0eff0-6f8d-4e79-806e-105a2754a423 · outbound

This paper cites Marlin: Masked autoencoder for facial video representation learning,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Marlin: Masked autoencoder for facial video representation learning,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.291785Z

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Observation 3853cbcc-4d91-4208-94c1-dc33ed0ffd53 · outbound

This paper cites Emotion recognition based on brain-like multimodal hierarchical perception,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Emotion recognition based on brain-like multimodal hierarchical perception,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.280102Z

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Observation eb719fa0-19c5-4d9d-a844-685144370a5d · outbound

This paper cites Fusing pairwise modalities for emotion recognition in conversations,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Fusing pairwise modalities for emotion recognition in conversations,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.268799Z

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Observation d51b70f2-354d-49a7-a0a2-90246eb2c062 · outbound

This paper cites A novel transformer autoencoder for multi-modal emotion recognition with incomplete data,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition A novel transformer autoencoder for multi-modal emotion recognition with incomplete data,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T13:04:44.002109Z

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Observation 296f3d0d-67db-42d7-b5bf-e3e0b9df4be6 · outbound

This paper cites Deep imbalanced learning for multimodal emotion recognition in conversations,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Deep imbalanced learning for multimodal emotion recognition in conversations,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.250101Z

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Observation a12d15df-9b38-42dd-a5fd-b12d4f634e77 · outbound

This paper cites Online bagging and boosting,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Online bagging and boosting,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.238649Z

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Observation f5d6e311-71e8-4ab8-a132-c575b1cf73ac · outbound

This paper cites Appli- cations of machine learning predictive models in the chronic disease diagnosis,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Appli- cations of machine learning predictive models in the chronic disease diagnosis,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.226785Z

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Observation d50fabf3-8f7e-4dc1-8c2a-b73798a6452c · outbound

This paper cites Effective image enhancement techniques for fog-affected indoor and outdoor images,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Effective image enhancement techniques for fog-affected indoor and outdoor images,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.214131Z

Source-reported events for the cited work

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Observation 91986488-a283-46ab-9836-3681f6f14841 · outbound

This paper cites A new application of fractional atangana– baleanu derivatives: designing abc-fractional masks in image processing,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition A new application of fractional atangana– baleanu derivatives: designing abc-fractional masks in image processing,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.202426Z

Source-reported events for the cited work

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Observation eb94ef5b-6ecd-4f13-96b7-bb126b5a5982 · outbound

This paper cites Distortion ag- nostic deep watermarking,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Distortion ag- nostic deep watermarking,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.190293Z

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Observation e94e49a0-fb7b-4c55-9f74-eb1d8566109f · outbound

This paper cites A precision analysis of camera distortion models,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition A precision analysis of camera distortion models,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.178703Z

Source-reported events for the cited work

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Observation 87bc8291-2055-43bb-8e27-d59eb07d4aa7 · outbound

This paper cites Occlusion- aware real-time object tracking,.

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Occlusion- aware real-time object tracking,

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:04:44.167452Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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