Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis | Paper Citation Record

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This paper cites an unresolved cited work.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Unresolved cited work

Reference 1

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This paper cites Toward machine emotional in- telligence: Analysis of affective physiological state,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Toward machine emotional in- telligence: Analysis of affective physiological state,

Reference 2

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This paper cites Survey on speech emotion recognition: Features, classiﬁcation schemes, and databases,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Survey on speech emotion recognition: Features, classiﬁcation schemes, and databases,

Reference 3

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

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis A brief review of facial emotion recognition based on visual information,

Reference 4

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This paper cites Current state of text sentiment analysis from opinion to emotion mining,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Current state of text sentiment analysis from opinion to emotion mining,

Reference 5

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This paper cites Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks,

Reference 6

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This paper cites Identifying stable patterns over time for emotion recognition from EEG,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Identifying stable patterns over time for emotion recognition from EEG,

Reference 7

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This paper cites EEG-based emotion recognition using hierarchical network with subnetwork nodes,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis EEG-based emotion recognition using hierarchical network with subnetwork nodes,

Reference 8

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Observation 66b40d27-067e-4313-b204-4c2b3890eb94 · outbound

This paper cites Cross-subject EEG feature selection for emotion recognition using transfer recursive feature elimination,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Cross-subject EEG feature selection for emotion recognition using transfer recursive feature elimination,

Reference 9

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Observation 4d54e8f7-0600-47c9-85e0-c4f486673eda · outbound

This paper cites Gen- eralizations of the subject-independent feature set for music-induced emotion recognition,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Gen- eralizations of the subject-independent feature set for music-induced emotion recognition,

Reference 10

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This paper cites Emotional state classiﬁcation from eeg data using machine learning approach,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Emotional state classiﬁcation from eeg data using machine learning approach,

Reference 11

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This paper cites Emotion recognition based on physiological changes in music listening,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Emotion recognition based on physiological changes in music listening,

Reference 12

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This paper cites The coupling of emotion and cognition in the eye: Introducing the pupil old/new effect,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis The coupling of emotion and cognition in the eye: Introducing the pupil old/new effect,

Reference 13

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

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis A review of affective computing: from unimodal analysis to multimodal fusion,

Reference 14

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This paper cites Emotion- meter: A multimodal framework for recognizing human emotions,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Emotion- meter: A multimodal framework for recognizing human emotions,

Reference 15

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This paper cites Multimodal emotion recognition in response to videos,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Multimodal emotion recognition in response to videos,

Reference 16

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This paper cites Multimodal emotion recognition in response to videos,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Multimodal emotion recognition in response to videos,

Reference 17

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This paper cites Affectnet: A database for facial expression, valence, and arousal computing in the wild,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Affectnet: A database for facial expression, valence, and arousal computing in the wild,

Reference 18

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This paper cites Analysis of eeg signals and facial expressions for continuous emotion detection,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Analysis of eeg signals and facial expressions for continuous emotion detection,

Reference 19

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This paper cites Combining eye movements and EEG to enhance emotion recognition,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Combining eye movements and EEG to enhance emotion recognition,

Reference 20

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This paper cites DEAP: A database for emotion analysis; using physiological signals,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis DEAP: A database for emotion analysis; using physiological signals,

Reference 21

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This paper cites Combining feature-level and decision-level fusion in a hierarchical classiﬁer for emotion recognition in the wild,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Combining feature-level and decision-level fusion in a hierarchical classiﬁer for emotion recognition in the wild,

Reference 22

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This paper cites Multimodal machine learning: A survey and taxonomy,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Multimodal machine learning: A survey and taxonomy,

Reference 23

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This paper cites Emotion recognition using multimodal deep learning,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Emotion recognition using multimodal deep learning,

Reference 24

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This paper cites Multimodal emotion recognition using deep neural networks,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Multimodal emotion recognition using deep neural networks,

Reference 25

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This paper cites Emotion recogni- tion from multi-channel EEG data through convolutional recurrent neural network,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Emotion recogni- tion from multi-channel EEG data through convolutional recurrent neural network,

Reference 26

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This paper cites Recognition of emotions using multimodal physiological signals and an ensemble deep learning model,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Recognition of emotions using multimodal physiological signals and an ensemble deep learning model,

Reference 27

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This paper cites Deep canonical correlation analysis,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Deep canonical correlation analysis,

Reference 28

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This paper cites Multi-view emotion recognition using deep canonical correlation analysis,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Multi-view emotion recognition using deep canonical correlation analysis,

Reference 29

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This paper cites Multimodal data fusion: an overview of methods, challenges, and prospects,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Multimodal data fusion: an overview of methods, challenges, and prospects,

Reference 30

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This paper cites A review and meta-analysis of multimodal affect detection systems,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis A review and meta-analysis of multimodal affect detection systems,

Reference 31

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This paper cites Self- attentive feature-level fusion for multimodal emotion detection,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Self- attentive feature-level fusion for multimodal emotion detection,

Reference 32

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This paper cites Multimodal deep learning,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Multimodal deep learning,

Reference 33

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This paper cites Classiﬁcation of affects using head movement, skin color features and physiological signals,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Classiﬁcation of affects using head movement, skin color features and physiological signals,

Reference 34

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This paper cites A hybrid fuzzy cognitive map/support vector machine approach for EEG- based emotion classiﬁcation using compressed sensing,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis A hybrid fuzzy cognitive map/support vector machine approach for EEG- based emotion classiﬁcation using compressed sensing,

Reference 35

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This paper cites Unsupervised alignment of natural language instructions with video segments,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Unsupervised alignment of natural language instructions with video segments,

Reference 36

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This paper cites Devise: A deep visual-semantic embedding model,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Devise: A deep visual-semantic embedding model,

Reference 37

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This paper cites Relations between two sets of variates,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Relations between two sets of variates,

Reference 38

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Observation d2f65ad8-a714-42fc-b04d-de1ca0a75ef1 · outbound

This paper cites Canonical correlation analysis: An overview with application to learning methods,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Canonical correlation analysis: An overview with application to learning methods,

Reference 39

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This paper cites Kernel and nonlinear canonical correlation analysis,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Kernel and nonlinear canonical correlation analysis,

Reference 40

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This paper cites Probabilistic approach to detecting dependen- cies between data sets,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Probabilistic approach to detecting dependen- cies between data sets,

Reference 41

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Observation d9c10649-8ee0-4265-8a49-01aa02f47954 · outbound

This paper cites Bayesian canonical correlation analysis,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Bayesian canonical correlation analysis,

Reference 42

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This paper cites Tensor canonical correlation analysis for action classiﬁcation,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Tensor canonical correlation analysis for action classiﬁcation,

Reference 43

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Observation b43492d3-ec95-494a-a6a6-3a2f3e73cf81 · outbound

This paper cites Sparse canonical correlation analysis,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Sparse canonical correlation analysis,

Reference 44

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Observation e776400d-f13d-4352-88a3-5961a8a6bbc1 · outbound

This paper cites Cluster canonical correlation analysis,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Cluster canonical correlation analysis,

Reference 45

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Observation cfe9ffdf-584a-469a-86b8-5f796559f31f · outbound

This paper cites Application of the choquet integral in multicriteria decision making,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Application of the choquet integral in multicriteria decision making,

Reference 46

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Observation ffe4c250-c9b6-44bd-96a9-925b15d0f05b · outbound

This paper cites Gender classiﬁcation by combin- ing clothing, hair and facial component classiﬁers,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Gender classiﬁcation by combin- ing clothing, hair and facial component classiﬁers,

Reference 47

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This paper cites A study on subjective evaluations of printed color images,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis A study on subjective evaluations of printed color images,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.499568Z

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This paper cites Scikit-learn: Machine learning in Python,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Scikit-learn: Machine learning in Python,

Reference 49

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This paper cites MINE: Mutual Information Neural Estimation.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis MINE: Mutual Information Neural Estimation

Reference 50

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This paper cites Classiﬁcation of ﬁve emotions from eeg and eye movement signals: Discrimination ability and stability over time,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Classiﬁcation of ﬁve emotions from eeg and eye movement signals: Discrimination ability and stability over time,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.467972Z

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Observation 7f24be59-7fb7-43db-a5ee-10652501f1cc · outbound

This paper cites DREAMER: A database for emotion recognition through eeg and ecg signals from wireless low-cost off- the-shelf devices,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis DREAMER: A database for emotion recognition through eeg and ecg signals from wireless low-cost off- the-shelf devices,

Reference 52

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Observation 3ef8e4a6-1ba1-4f14-bc51-737febc29299 · outbound

This paper cites Differential entropy fea- ture for EEG-based emotion classiﬁcation,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Differential entropy fea- ture for EEG-based emotion classiﬁcation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.433543Z

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Observation 8fa3c444-7a94-4f26-bbdf-6d30c3918fa6 · outbound

This paper cites Differential entropy feature for EEG-based vigilance estimation,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Differential entropy feature for EEG-based vigilance estimation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.417460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation baf3078f-4307-4423-aa8b-d7d280eb5f4d · outbound

This paper cites Off-line and on-line vigilance estimation based on linear dynamical system and manifold learning,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Off-line and on-line vigilance estimation based on linear dynamical system and manifold learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.400250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation daeeceb5-8933-49d4-ba8a-136ebf896152 · outbound

This paper cites Automatic ecg-based emotion recognition in music listening,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Automatic ecg-based emotion recognition in music listening,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.381363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c8d6660-b404-48a8-a25a-9ba445539e29 · outbound

This paper cites Emotion recognition using wireless signals,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Emotion recognition using wireless signals,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.358421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a51ac94-3ca2-441b-848c-57f5e7f8529c · outbound

This paper cites Frequency analysis of the electro- cardiogram,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Frequency analysis of the electro- cardiogram,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.336452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da53ceca-b194-46be-b86c-d5c441649777 · outbound

This paper cites Ecg signals classiﬁcation based on dis- crete wavelet transform, time domain and frequency domain features,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Ecg signals classiﬁcation based on dis- crete wavelet transform, time domain and frequency domain features,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.315305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6e91a2e-e1ba-4ff3-b137-ff598f27f380 · outbound

This paper cites Frequency content and characteristics of ventricular conduction,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Frequency content and characteristics of ventricular conduction,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.288176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 755ce9a6-8265-4568-9e2b-5ca775044e98 · outbound

This paper cites Classiﬁcation of ﬁve emotions from eeg and eye movement signals: Complementary representation properties,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Classiﬁcation of ﬁve emotions from eeg and eye movement signals: Complementary representation properties,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.261170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 48acf3e6-eaae-418b-9a28-16b743888326 · outbound

This paper cites EEG emotion recognition using dynamical graph convolutional neural networks,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis EEG emotion recognition using dynamical graph convolutional neural networks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.240910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 08dafdc9-a472-4246-bfe0-027ad21675f7 · outbound

This paper cites A three-stage decision framework for multi-subject emotion recognition using physi- ological signals,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis A three-stage decision framework for multi-subject emotion recognition using physi- ological signals,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.218575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf0d34f3-aab0-48ad-8043-a2b058cf8aca · outbound

This paper cites Robust kernel density estimation,.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Robust kernel density estimation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.196717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a1ebee1c-a9fc-45f5-a963-4d5a0de2d0a9 · outbound

This paper cites Bao-Liang Lu (M’94–SM’10) received his B.S.

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis Bao-Liang Lu (M’94–SM’10) received his B.S

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:45:30.173230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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