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Paper Citation Record · LEDGER

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.04139.

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pith.paper-citation-record.v1
2607.04139 v1

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measured 45 of 45 reference resolution

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measured 45 of 45 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

45 of 45 outbound references displayed

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Outbound references

Observation 5862debc-85bf-4b07-ae62-b59a9b6c7f95 · outbound

This paper cites Affective brain–computer interfaces (abcis): A tutorial,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Affective brain–computer interfaces (abcis): A tutorial,

Reference 1

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Observation a111f256-99d0-4296-97df-ed70437a0ed6 · outbound

This paper cites EEG-based affective brain-computer interfaces: recent advancements and future challenges,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition EEG-based affective brain-computer interfaces: recent advancements and future challenges,

Reference 2

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Observation 981748f2-6077-4e69-8466-d521269c0ac3 · outbound

This paper cites A dry electrode for EEG recording,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition A dry electrode for EEG recording,

Reference 3

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This paper cites Transfer learning for EEG-based brain–computer interfaces: A review of progress made since 2016,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Transfer learning for EEG-based brain–computer interfaces: A review of progress made since 2016,

Reference 4

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Observation 0a868904-5f17-4ab9-9704-cf41d582daa2 · outbound

This paper cites Transfer learning in brain- computer interfaces,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Transfer learning in brain- computer interfaces,

Reference 5

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Observation 5c5867b9-1975-4522-804a-e8e9047e10d7 · outbound

This paper cites Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition,

Reference 6

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This paper cites A parallel neural networks for emotion recognition based on EEG signals,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition A parallel neural networks for emotion recognition based on EEG signals,

Reference 7

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Observation 356b6f64-39d3-49e2-879a-070644f75608 · outbound

This paper cites FCAnet: A novel feature fusion approach to EEG emotion recognition based on cross-attention networks,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition FCAnet: A novel feature fusion approach to EEG emotion recognition based on cross-attention networks,

Reference 8

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Observation f00019de-7401-45d1-852e-225ee7b8aae2 · outbound

This paper cites GNN-based multi-source domain prototype representation for cross-subject EEG emotion recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition GNN-based multi-source domain prototype representation for cross-subject EEG emotion recognition,

Reference 9

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Observation e091fc59-84d2-4000-bf50-21568c54b380 · outbound

This paper cites Transformer convolutional neural networks for automated artifact detection in scalp EEG,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Transformer convolutional neural networks for automated artifact detection in scalp EEG,

Reference 10

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This paper cites LGGNet: Learning from local-global-graph representations for brain–computer interface,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition LGGNet: Learning from local-global-graph representations for brain–computer interface,

Reference 11

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Observation 83ddbd67-cd70-4b12-8786-0dcbae1534a8 · outbound

This paper cites CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition

Reference 12

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Observation 92149fdd-c9c9-442e-84ed-8d7c3d6cac45 · outbound

This paper cites Spp-eegnet: An input-agnostic self-supervised eeg representation model for inter- dataset transfer learning,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Spp-eegnet: An input-agnostic self-supervised eeg representation model for inter- dataset transfer learning,

Reference 13

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This paper cites Time-Series Representation Learning via Temporal and Contextual Contrasting.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Time-Series Representation Learning via Temporal and Contextual Contrasting

Reference 14

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This paper cites Self-supervised contrastive pre-training for time series via time-frequency consistency,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Self-supervised contrastive pre-training for time series via time-frequency consistency,

Reference 15

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Observation 08af05d8-ccce-49d0-9cc6-7203541f459e · outbound

This paper cites Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 16

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Observation d7db4f78-7c54-4633-a0f6-e2341df50abb · outbound

This paper cites A multi- view spectral-spatial-temporal masked autoencoder for decoding emotions with self-supervised learning,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition A multi- view spectral-spatial-temporal masked autoencoder for decoding emotions with self-supervised learning,

Reference 17

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Observation dad75385-d1ad-407f-873a-7b5ba2797feb · outbound

This paper cites Biot: Biosignal transformer for cross-data learning in the wild,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Biot: Biosignal transformer for cross-data learning in the wild,

Reference 18

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Observation 21fe7f3e-d863-4e12-85b0-5f93bdfbe208 · outbound

This paper cites Eeg2rep: enhancing self- supervised EEG representation through informative masked inputs,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Eeg2rep: enhancing self- supervised EEG representation through informative masked inputs,

Reference 19

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Observation cd59aa39-a98c-4fad-a640-171d5dac9b9e · outbound

This paper cites Contrastive representation learning for electroencephalogram classification,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Contrastive representation learning for electroencephalogram classification,

Reference 20

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Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Exploiting multiple eeg data domains with adversarial learning,

Reference 21

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This paper cites Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition,

Reference 22

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Observation 42d3c430-a11a-4238-9339-159786579186 · outbound

This paper cites Generalizable Movement Intention Recognition with Multiple Heterogeneous EEG Datasets,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Generalizable Movement Intention Recognition with Multiple Heterogeneous EEG Datasets,

Reference 23

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Observation 64b04c1b-0beb-4e88-89a1-aa7db1b712b3 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Masked autoencoders are scalable vision learners,

Reference 24

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Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Self-supervised learning from images with a joint-embedding predictive architecture,

Reference 25

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Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition A simple framework for contrastive learning of visual representations,

Reference 26

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This paper cites Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition,

Reference 27

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This paper cites Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition,

Reference 28

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This paper cites Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition,

Reference 29

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This paper cites EEG conformer: Convolutional transformer for EEG decoding and visualization,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition EEG conformer: Convolutional transformer for EEG decoding and visualization,

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Observation 6e001393-d9f6-409d-9eee-f94b734e0425 · outbound

This paper cites Instance-adaptive graph for EEG emotion recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Instance-adaptive graph for EEG emotion recognition,

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This paper cites PGCN: Pyramidal graph convolutional network for EEG emotion recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition PGCN: Pyramidal graph convolutional network for EEG emotion recognition,

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Observation 7a81c00c-0d97-45e8-85c2-b3ab3b634524 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites Unleashing the power of contrastive self-supervised visual models via contrast-regularized fine-tuning,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Unleashing the power of contrastive self-supervised visual models via contrast-regularized fine-tuning,

Reference 34

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This paper cites A large finer-grained affective computing EEG dataset,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition A large finer-grained affective computing EEG dataset,

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Observation 0925767c-7454-422a-a74f-ceddfcd0753c · outbound

This paper cites EmotionMeter: A Multimodal Framework for Recognizing Human Emotions,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition EmotionMeter: A Multimodal Framework for Recognizing Human Emotions,

Reference 36

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Observation 820f8e16-cc3d-497b-b761-933c46948c82 · outbound

This paper cites Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition,

Reference 37

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Observation 548fd328-ce5e-4c46-bd2d-3440872f680c · outbound

This paper cites Seed-vii: A multimodal dataset of six basic emotions with continuous labels for emotion recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Seed-vii: A multimodal dataset of six basic emotions with continuous labels for emotion recognition,

Reference 38

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Observation 863f1daf-73d7-482f-8a9f-2acf9f90e846 · outbound

This paper cites Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition

Reference 39

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Observation 140bd942-2fbb-4a50-a5b9-854596cf85fb · outbound

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

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Identifying stable patterns over time for emotion recognition from EEG,

Reference 40

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Observation d3b1ecb8-a1bf-4da7-96df-75db15d74c69 · outbound

This paper cites Fusing frequency-domain features and brain connectivity features for cross-subject emotion recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Fusing frequency-domain features and brain connectivity features for cross-subject emotion recognition,

Reference 41

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Observation 0c79f24e-fca2-4368-853b-4b5bae2493b4 · outbound

This paper cites HSA-Former: Hierarchical Spatial Aggregation Transformer for EEG-Based Emotion Recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition HSA-Former: Hierarchical Spatial Aggregation Transformer for EEG-Based Emotion Recognition,

Reference 42

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Observation d46da671-ec4f-4a67-95ce-59f2b0b0e575 · outbound

This paper cites Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review,

Reference 43

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Observation 1536dcd6-de59-4b63-b284-f0e26a604da3 · outbound

This paper cites Emt: A novel transformer for generalized cross-subject eeg emotion recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Emt: A novel transformer for generalized cross-subject eeg emotion recognition,

Reference 44

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Observation 04ae7023-8172-4d25-b3b2-b9880544f27c · outbound

This paper cites Bipartite graph adversarial network for subject-independent emotion recognition,.

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Bipartite graph adversarial network for subject-independent emotion recognition,

Reference 45

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