Multimodal Functional Maximum Correlation for Emotion Recognition | Paper Citation Record

Observation 61a55a4e-b057-487d-968c-d3127a168b55 · outbound

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

Multimodal Functional Maximum Correlation for Emotion Recognition Eeg emotion recognition using dynamical graph convolutional neural networks,

Reference 1

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Observation cd5048fe-a408-4613-92b3-21cce4641de2 · outbound

This paper cites The effi- cacy of emotion recognition rehabilitation for people with alzheimer’s disease,.

Multimodal Functional Maximum Correlation for Emotion Recognition The effi- cacy of emotion recognition rehabilitation for people with alzheimer’s disease,

Reference 2

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Observation 3baa4cb0-278a-4489-a919-745b888abe58 · outbound

This paper cites Emotion recognition using eeg and physiological data for robot-assisted rehabilitation systems,.

Multimodal Functional Maximum Correlation for Emotion Recognition Emotion recognition using eeg and physiological data for robot-assisted rehabilitation systems,

Reference 3

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This paper cites Divergent spatiotemporal signatures characterize impaired facial emotional recognition in major depressive disorder: An event-related microstate study,.

Multimodal Functional Maximum Correlation for Emotion Recognition Divergent spatiotemporal signatures characterize impaired facial emotional recognition in major depressive disorder: An event-related microstate study,

Reference 4

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This paper cites A real-time automated system for the recognition of human facial expressions,.

Multimodal Functional Maximum Correlation for Emotion Recognition A real-time automated system for the recognition of human facial expressions,

Reference 5

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Observation f326a50f-cd7c-4c58-a31e-ed2b69db47ba · outbound

This paper cites Sponta- neous facial micro-expression analysis using spatiotemporal completed local quantized patterns,.

Multimodal Functional Maximum Correlation for Emotion Recognition Sponta- neous facial micro-expression analysis using spatiotemporal completed local quantized patterns,

Reference 6

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This paper cites Facial micro- expression recognition using spatiotemporal local binary pattern with integral projection,.

Multimodal Functional Maximum Correlation for Emotion Recognition Facial micro- expression recognition using spatiotemporal local binary pattern with integral projection,

Reference 7

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Observation b2f0d905-8a93-46ba-b3c1-9a766b51e65a · outbound

This paper cites Discriminative spatiotemporal local binary pattern with revisited in- tegral projection for spontaneous facial micro-expression recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition Discriminative spatiotemporal local binary pattern with revisited in- tegral projection for spontaneous facial micro-expression recognition,

Reference 8

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Observation 25594a82-5867-439c-a4a3-abee5567fbe9 · outbound

This paper cites A main directional mean optical flow feature for spontaneous micro- expression recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition A main directional mean optical flow feature for spontaneous micro- expression recognition,

Reference 9

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Observation ee2ed8e5-72ff-4041-b8ec-ec85c4943937 · outbound

This paper cites Integrating facial expression and body gesture in videos for emotion recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition Integrating facial expression and body gesture in videos for emotion recognition,

Reference 10

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Observation 8567e243-cff5-4edb-bc46-013f79f7e452 · outbound

This paper cites Prosody- based automatic detection of annoyance and frustration in human- computer dialog,.

Multimodal Functional Maximum Correlation for Emotion Recognition Prosody- based automatic detection of annoyance and frustration in human- computer dialog,

Reference 11

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Observation 17fdff78-8026-4f36-b164-de79d09c9906 · outbound

This paper cites Multichannel EEG-based emotion recognition via group sparse canonical correlation analysis,.

Multimodal Functional Maximum Correlation for Emotion Recognition Multichannel EEG-based emotion recognition via group sparse canonical correlation analysis,

Reference 12

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Observation 7816bb7e-8ece-49e5-ac8d-272c6ce3d70a · outbound

This paper cites Emotion recognition from surface EMG signal using wavelet transform and neural network,.

Multimodal Functional Maximum Correlation for Emotion Recognition Emotion recognition from surface EMG signal using wavelet transform and neural network,

Reference 13

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Observation c3316105-9471-4e27-943c-3d7d6ee1fc67 · outbound

This paper cites ECG pattern analysis for emotion detection,.

Multimodal Functional Maximum Correlation for Emotion Recognition ECG pattern analysis for emotion detection,

Reference 14

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Observation 212c69a2-61ca-41da-a8a5-d8882df45558 · outbound

This paper cites Hyper- complex multimodal emotion recognition from eeg and peripheral phys- iological signals,.

Multimodal Functional Maximum Correlation for Emotion Recognition Hyper- complex multimodal emotion recognition from eeg and peripheral phys- iological signals,

Reference 15

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Observation 6e82b4ca-5189-4012-8f25-77237d35e3c5 · outbound

This paper cites Measuring emotion: The self-assessment manikin and the semantic differential,.

Multimodal Functional Maximum Correlation for Emotion Recognition Measuring emotion: The self-assessment manikin and the semantic differential,

Reference 16

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Observation d39b0971-7245-4bfc-8d59-8ba94c3dc09f · outbound

This paper cites A circumplex model of affect,.

Multimodal Functional Maximum Correlation for Emotion Recognition A circumplex model of affect,

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Observation 861114e4-db4a-4c66-9a29-345f7dc7f30a · outbound

This paper cites The circumplex model of affect: An integrative approach to affective neuroscience, cognitive de- velopment, and psychopathology,.

Multimodal Functional Maximum Correlation for Emotion Recognition The circumplex model of affect: An integrative approach to affective neuroscience, cognitive de- velopment, and psychopathology,

Reference 18

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Observation 5e011438-4142-49bc-9b78-8254de52e3a1 · outbound

This paper cites Pleasure–arousal–dominance: A general framework for describing and measuring individual differences in temperament,.

Multimodal Functional Maximum Correlation for Emotion Recognition Pleasure–arousal–dominance: A general framework for describing and measuring individual differences in temperament,

Reference 19

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Observation 936fbbc3-b9d5-4f2a-83c1-22b48e1af926 · outbound

This paper cites Affect detection: An interdisciplinary review of models, methods, and their applications,.

Multimodal Functional Maximum Correlation for Emotion Recognition Affect detection: An interdisciplinary review of models, methods, and their applications,

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Observation 74a5aa84-3528-433b-a8b0-69fbb4816c79 · outbound

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

Multimodal Functional Maximum Correlation for Emotion Recognition Deap: A database for emotion analysis; using physiological signals,

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Observation 8360c70d-220f-45a7-9fc4-9ea5e6ca6a00 · outbound

This paper cites Ceap-360vr: A continuous physiological and behavioral emotion annotation dataset for 360◦ vr videos,.

Multimodal Functional Maximum Correlation for Emotion Recognition Ceap-360vr: A continuous physiological and behavioral emotion annotation dataset for 360◦ vr videos,

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Observation 345bdaca-42e1-461f-9296-40d6307ead5d · outbound

This paper cites Amigos: A dataset for affect, personality and mood research on individuals and groups,.

Multimodal Functional Maximum Correlation for Emotion Recognition Amigos: A dataset for affect, personality and mood research on individuals and groups,

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Observation 8d4a37e6-6b4f-46fb-9e89-29e828ad33fe · outbound

This paper cites Emotion recognition for everyday life using physiological signals from wearables: A systematic literature review,.

Multimodal Functional Maximum Correlation for Emotion Recognition Emotion recognition for everyday life using physiological signals from wearables: A systematic literature review,

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Observation c1b978c6-0396-4921-987b-c64f68e44c64 · outbound

This paper cites Toward cross-subject and cross-session general- ization in eeg-based emotion recognition: Systematic review, taxonomy, and methods,.

Multimodal Functional Maximum Correlation for Emotion Recognition Toward cross-subject and cross-session general- ization in eeg-based emotion recognition: Systematic review, taxonomy, and methods,

Reference 25

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This paper cites A comprehensive re- view of deep learning in eeg-based emotion recognition: classifications, trends, and practical implications,.

Multimodal Functional Maximum Correlation for Emotion Recognition A comprehensive re- view of deep learning in eeg-based emotion recognition: classifications, trends, and practical implications,

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Observation 621d7569-51f5-4a16-ba45-72ce3e61a00a · outbound

This paper cites Autonomic nervous system activity in emotion: A review,.

Multimodal Functional Maximum Correlation for Emotion Recognition Autonomic nervous system activity in emotion: A review,

Reference 27

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Observation 0345456a-b220-42c5-b1da-e4495df0e8da · outbound

This paper cites Eeg-based multimodal emotion recognition: A machine learning per- spective,.

Multimodal Functional Maximum Correlation for Emotion Recognition Eeg-based multimodal emotion recognition: A machine learning per- spective,

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Observation ff91521a-e89d-4622-8984-34c718d0e1d5 · outbound

This paper cites Multi- modal machine learning approach for emotion recognition using phys- iological signals,.

Multimodal Functional Maximum Correlation for Emotion Recognition Multi- modal machine learning approach for emotion recognition using phys- iological signals,

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Observation a5dd1fd0-6c23-43a1-b2a7-03c0b9c8c9bd · outbound

This paper cites Advances in multimodal emotion recognition based on brain-computer interfaces,.

Multimodal Functional Maximum Correlation for Emotion Recognition Advances in multimodal emotion recognition based on brain-computer interfaces,

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Observation fb9c8293-ba3a-4bc3-86e8-6e1d30341c7f · outbound

This paper cites Hierarchical hypercomplex network for multimodal emotion recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition Hierarchical hypercomplex network for multimodal emotion recognition,

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Observation 75c44de2-71fa-4a86-9c31-91d2866d0149 · outbound

This paper cites Corrfeat: correlation-based feature extraction algorithm using skin conductance and pupil diameter for emotion recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition Corrfeat: correlation-based feature extraction algorithm using skin conductance and pupil diameter for emotion recognition,

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Observation 25194ffc-0dba-4a5b-a69b-d7f828aa3e85 · outbound

This paper cites Behavioral and physiological signals- based deep multimodal approach for mobile emotion recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition Behavioral and physiological signals- based deep multimodal approach for mobile emotion recognition,

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This paper cites Multimodal learning for eeg-based emotion recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition Multimodal learning for eeg-based emotion recognition,

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Observation 0fbb90aa-c944-4c6b-b908-a460542cc044 · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction,.

Multimodal Functional Maximum Correlation for Emotion Recognition Barlow twins: Self-supervised learning via redundancy reduction,

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This paper cites VICReg: Variance-invariance- covariance regularization for self-supervised learning,.

Multimodal Functional Maximum Correlation for Emotion Recognition VICReg: Variance-invariance- covariance regularization for self-supervised learning,

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This paper cites PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition.

Multimodal Functional Maximum Correlation for Emotion Recognition PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition

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This paper cites A simple framework for contrastive learning of visual representations,.

Multimodal Functional Maximum Correlation for Emotion Recognition A simple framework for contrastive learning of visual representations,

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Observation dba63c11-65eb-40e5-9bf5-1398dc9d0b36 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Multimodal Functional Maximum Correlation for Emotion Recognition Representation Learning with Contrastive Predictive Coding

Reference 39

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Observation 27a1a069-8cab-4c0a-b50a-6b8fc2c0a72e · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Multimodal Functional Maximum Correlation for Emotion Recognition Learning transferable visual models from natural language supervision,

Reference 40

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This paper cites Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text,.

Multimodal Functional Maximum Correlation for Emotion Recognition Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text,

Reference 41

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This paper cites Imagebind: One embedding space to bind them all,.

Multimodal Functional Maximum Correlation for Emotion Recognition Imagebind: One embedding space to bind them all,

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This paper cites Contrasting with symile: Simple model-agnostic representation learning for unlim- ited modalities,.

Multimodal Functional Maximum Correlation for Emotion Recognition Contrasting with symile: Simple model-agnostic representation learning for unlim- ited modalities,

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This paper cites Gramian multimodal representation learning and alignment,.

Multimodal Functional Maximum Correlation for Emotion Recognition Gramian multimodal representation learning and alignment,

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This paper cites Applications of self-supervised learning to biomedical signals: A survey,.

Multimodal Functional Maximum Correlation for Emotion Recognition Applications of self-supervised learning to biomedical signals: A survey,

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Observation 12460427-d4ca-4ae5-8812-69b5c12f8b68 · outbound

This paper cites Self- supervised eeg emotion recognition models based on cnn,.

Multimodal Functional Maximum Correlation for Emotion Recognition Self- supervised eeg emotion recognition models based on cnn,

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This paper cites Self-supervised elec- troencephalogram representation learning for automatic sleep staging: model development and evaluation study,.

Multimodal Functional Maximum Correlation for Emotion Recognition Self-supervised elec- troencephalogram representation learning for automatic sleep staging: model development and evaluation study,

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Observation 397f9974-4d41-4b26-b37e-a74271720859 · outbound

This paper cites Self supervised learning based emotion recog- nition using physiological signals,.

Multimodal Functional Maximum Correlation for Emotion Recognition Self supervised learning based emotion recog- nition using physiological signals,

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This paper cites Cross-modal contrastive learning for emotion recognition: Aligning ecg with eeg-derived features,.

Multimodal Functional Maximum Correlation for Emotion Recognition Cross-modal contrastive learning for emotion recognition: Aligning ecg with eeg-derived features,

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Observation e219a158-fbfb-4f27-8b81-f674d00cbd2b · outbound

This paper cites Linear dependence structure of the entropy space,.

Multimodal Functional Maximum Correlation for Emotion Recognition Linear dependence structure of the entropy space,

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This paper cites Measuring dependence with matrix-based entropy functional,.

Multimodal Functional Maximum Correlation for Emotion Recognition Measuring dependence with matrix-based entropy functional,

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This paper cites The Normalized Cross Density Functional: A Framework to Quantify Statistical Dependence for Random Processes.

Multimodal Functional Maximum Correlation for Emotion Recognition The Normalized Cross Density Functional: A Framework to Quantify Statistical Dependence for Random Processes

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Observation ed01b249-fd85-41e8-a854-6b3080891c3c · outbound

This paper cites Eeg analysis based on time domain properties,.

Multimodal Functional Maximum Correlation for Emotion Recognition Eeg analysis based on time domain properties,

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Observation f201f960-6168-4a24-aac0-98ec7cff10ee · outbound

This paper cites Emotion recognition from eeg using higher order crossings,.

Multimodal Functional Maximum Correlation for Emotion Recognition Emotion recognition from eeg using higher order crossings,

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Observation 61683007-e165-4040-8474-389bbd626e89 · outbound

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

Multimodal Functional Maximum Correlation for Emotion Recognition Differential entropy feature for eeg-based vigilance estimation,

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Observation 390ba4fc-d182-4bde-b39c-7b25e79501df · outbound

This paper cites Emotion classification based on gamma-band eeg,.

Multimodal Functional Maximum Correlation for Emotion Recognition Emotion classification based on gamma-band eeg,

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This paper cites What does the prefrontal cortex “do.

Multimodal Functional Maximum Correlation for Emotion Recognition What does the prefrontal cortex “do

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This paper cites A comparative study of window sizes for cnn-based eeg emotion recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition A comparative study of window sizes for cnn-based eeg emotion recognition,

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This paper cites An empirical survey of data augmentation for time series classification with neural networks,.

Multimodal Functional Maximum Correlation for Emotion Recognition An empirical survey of data augmentation for time series classification with neural networks,

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This paper cites Eeg-based emotion recognition using multi-scale dynamic cnn and gated transformer,.

Multimodal Functional Maximum Correlation for Emotion Recognition Eeg-based emotion recognition using multi-scale dynamic cnn and gated transformer,

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Observation 3ec9fab0-8ddf-4f40-8319-45c3b93794af · outbound

This paper cites A survey on contrastive self-supervised learning,.

Multimodal Functional Maximum Correlation for Emotion Recognition A survey on contrastive self-supervised learning,

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This paper cites Contrastive self-supervised learning for neurodegenerative disorder classification,.

Multimodal Functional Maximum Correlation for Emotion Recognition Contrastive self-supervised learning for neurodegenerative disorder classification,

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This paper cites Ganser: A self-supervised data augmentation framework for eeg-based emotion recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition Ganser: A self-supervised data augmentation framework for eeg-based emotion recognition,

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This paper cites Self-supervised learning via vicreg enables training of emg pattern recognition us- ing continuous data with unclear labels,.

Multimodal Functional Maximum Correlation for Emotion Recognition Self-supervised learning via vicreg enables training of emg pattern recognition us- ing continuous data with unclear labels,

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Observation 6b487e4e-cfd6-4605-a40e-72df36a8c609 · outbound

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

Multimodal Functional Maximum Correlation for Emotion Recognition Dreamer: A database for emotion recognition through eeg and ecg signals from wireless low-cost off- the-shelf devices,

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Observation 7170e463-d1d0-4386-acfb-d3c61b9d4090 · outbound

This paper cites GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition,.

Multimodal Functional Maximum Correlation for Emotion Recognition GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition,

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This paper cites Emotion recognition through combining eeg and eog over relevant channels with optimal windowing,.

Multimodal Functional Maximum Correlation for Emotion Recognition Emotion recognition through combining eeg and eog over relevant channels with optimal windowing,

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This paper cites Multi-to-single: Reducing multimodal dependency in emotion recognition through contrastive learning,.

Multimodal Functional Maximum Correlation for Emotion Recognition Multi-to-single: Reducing multimodal dependency in emotion recognition through contrastive learning,

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Observation 779e4b6e-b980-4436-99dd-30c27a1326e1 · outbound

This paper cites Accommo- dating audio modality in clip for multimodal processing,.

Multimodal Functional Maximum Correlation for Emotion Recognition Accommo- dating audio modality in clip for multimodal processing,

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This paper cites Multivariate information transmission,.

Multimodal Functional Maximum Correlation for Emotion Recognition Multivariate information transmission,

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This paper cites Information theoretical analysis of multivariate correla- tion,.

Multimodal Functional Maximum Correlation for Emotion Recognition Information theoretical analysis of multivariate correla- tion,

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This paper cites Synergy, re- dundancy, and multivariate information measures: an experimentalist’s perspective,.

Multimodal Functional Maximum Correlation for Emotion Recognition Synergy, re- dundancy, and multivariate information measures: an experimentalist’s perspective,

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This paper cites What to align in multimodal contrastive learning?.

Multimodal Functional Maximum Correlation for Emotion Recognition What to align in multimodal contrastive learning?

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Observation ee5905c8-a3a8-4fd8-9ff7-6b93a6e4d286 · outbound

This paper cites Formal limitations on the measurement of mutual information,.

Multimodal Functional Maximum Correlation for Emotion Recognition Formal limitations on the measurement of mutual information,

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This paper cites Universal features for high-dimensional learning and inference,.

Multimodal Functional Maximum Correlation for Emotion Recognition Universal features for high-dimensional learning and inference,

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This paper cites Multi-variate correlation and mixtures of product measures.

Multimodal Functional Maximum Correlation for Emotion Recognition Multi-variate correlation and mixtures of product measures

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

Multimodal Functional Maximum Correlation for Emotion Recognition Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks,

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This paper cites A Multimodal Database for Affect Recognition and Implicit Tagging (MAHNOB- HCI),.

Multimodal Functional Maximum Correlation for Emotion Recognition A Multimodal Database for Affect Recognition and Implicit Tagging (MAHNOB- HCI),

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This paper cites Multimodal emotion detection via attention-based fusion of facial and speech features,.

Multimodal Functional Maximum Correlation for Emotion Recognition Multimodal emotion detection via attention-based fusion of facial and speech features,

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This paper cites Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces,.

Multimodal Functional Maximum Correlation for Emotion Recognition Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces,

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This paper cites Pytorch: An imperative style, high- performance deep learning library,.

Multimodal Functional Maximum Correlation for Emotion Recognition Pytorch: An imperative style, high- performance deep learning library,

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This paper cites Measures of entropy from data using infinitely divisible kernels,.

Multimodal Functional Maximum Correlation for Emotion Recognition Measures of entropy from data using infinitely divisible kernels,

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This paper cites Emotion recog- nition for everyday life using physiological signals from wearables: A systematic literature review,.

Multimodal Functional Maximum Correlation for Emotion Recognition Emotion recog- nition for everyday life using physiological signals from wearables: A systematic literature review,

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This paper cites an unresolved cited work.

Multimodal Functional Maximum Correlation for Emotion Recognition Unresolved cited work

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Multimodal Functional Maximum Correlation for Emotion Recognition Unresolved cited work

Reference 85

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Observation c389cd8c-f2c0-4ef7-811e-33cb8388c965 · outbound

This paper cites Very short windows (<3s) yield a drop of≥8pp in macro-F 1, indicating insufficient temporal context.

Multimodal Functional Maximum Correlation for Emotion Recognition Very short windows (<3s) yield a drop of≥8pp in macro-F 1, indicating insufficient temporal context

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This paper cites The three benchmarks supply more physiological signals than are strictly necessary for emotion recognition.

Multimodal Functional Maximum Correlation for Emotion Recognition The three benchmarks supply more physiological signals than are strictly necessary for emotion recognition

Reference 87

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This paper cites an unresolved cited work.

Multimodal Functional Maximum Correlation for Emotion Recognition Unresolved cited work

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This paper cites The mask assigns the largest weights to all 32 EEG leads, both horizontal and vertical EOG, and the skin-temperature trace, resulting in 35 retained inputs.

Multimodal Functional Maximum Correlation for Emotion Recognition The mask assigns the largest weights to all 32 EEG leads, both horizontal and vertical EOG, and the skin-temperature trace, resulting in 35 retained inputs

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Observation 0920b722-88f9-40b7-a382-cd3f7a971d87 · outbound

This paper cites The attention mask ranks BVP, EDA and SKT highest; those three signals are therefore kept for downstream experiments.

Multimodal Functional Maximum Correlation for Emotion Recognition The attention mask ranks BVP, EDA and SKT highest; those three signals are therefore kept for downstream experiments

Reference 90

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This paper cites Opt.z-score.

Multimodal Functional Maximum Correlation for Emotion Recognition Opt.z-score

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This paper cites •VICReg.Identical pipeline to SimCLR (noise0.05, shift±10, dropout0.1).

Multimodal Functional Maximum Correlation for Emotion Recognition •VICReg.Identical pipeline to SimCLR (noise0.05, shift±10, dropout0.1)

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Observation f2e29c5b-595d-418c-a79d-a61a3cbf7a95 · outbound

This paper cites •VICReg.Matches SimCLR exactly (noise0.05, shift±10, dropout0.1).

Multimodal Functional Maximum Correlation for Emotion Recognition •VICReg.Matches SimCLR exactly (noise0.05, shift±10, dropout0.1)

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This paper cites •VICReg.Same settings as SimCLR (noise0.05, shift±10, dropout0.1).

Multimodal Functional Maximum Correlation for Emotion Recognition •VICReg.Same settings as SimCLR (noise0.05, shift±10, dropout0.1)

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Multimodal Functional Maximum Correlation for Emotion Recognition Unresolved cited work

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Observation bcde571a-bafc-4f13-abc1-22e50092fbc4 · outbound

This paper cites Run the following once: •Unzip raw data:Ensure thats01.dat–s32.datreside in<BASE_PATH>/DEAP/.

Multimodal Functional Maximum Correlation for Emotion Recognition Run the following once: •Unzip raw data:Ensure thats01.dat–s32.datreside in<BASE_PATH>/DEAP/

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Observation b33cd332-7c26-4966-8cba-9e8858e7ce2e · outbound

This paper cites •Core scientific libraries:numpy 1.21.6,scipy 1.9.3,scikit-learn 1.1.3,matplotlib 3.5.3,joblib 1.2.0.

Multimodal Functional Maximum Correlation for Emotion Recognition •Core scientific libraries:numpy 1.21.6,scipy 1.9.3,scikit-learn 1.1.3,matplotlib 3.5.3,joblib 1.2.0

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Observation 09e6f440-e6c0-4371-82d7-c13f08bb788c · outbound

This paper cites HereN= 20 097, reflecting10s windows (1 280 samples at 128 Hz) extracted with a0.4s stride.

Multimodal Functional Maximum Correlation for Emotion Recognition HereN= 20 097, reflecting10s windows (1 280 samples at 128 Hz) extracted with a0.4s stride

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Observation 99158f06-8b5b-46f9-94ee-26efca669b5f · outbound

This paper cites •Temporal networkShared four-block Conv→Batch Norm→ReLU→Max Pool backbone with filter widths 1→32 →64→128→256, kernel size 11, pooling factor 4 at each block.

Multimodal Functional Maximum Correlation for Emotion Recognition •Temporal networkShared four-block Conv→Batch Norm→ReLU→Max Pool backbone with filter widths 1→32 →64→128→256, kernel size 11, pooling factor 4 at each block

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This paper cites an unresolved cited work.

Multimodal Functional Maximum Correlation for Emotion Recognition Unresolved cited work

Reference 100

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