Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training | Paper Citation Record

Observation b2ea013b-1bcb-45a2-8d62-5acd1e57f096 · outbound

This paper cites Global prevalence of depression and elevated depressive symptoms among adolescents: A systematic re- view and meta-analysis,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Global prevalence of depression and elevated depressive symptoms among adolescents: A systematic re- view and meta-analysis,

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This paper cites Suicidal risk among adolescent psychiatric inpatients: the role of insomnia, depression, and social-personal factors,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Suicidal risk among adolescent psychiatric inpatients: the role of insomnia, depression, and social-personal factors,

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This paper cites MuLHiTA: A Novel Multiclass Classifi- cation Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training MuLHiTA: A Novel Multiclass Classifi- cation Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress,

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This paper cites Automatic depression recognition by intelligent speech signal processing: A sys- tematic survey,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Automatic depression recognition by intelligent speech signal processing: A sys- tematic survey,

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This paper cites Disentanglement of Prosody Representations via Diffusion Models and Scheduled Gradient Reversal,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Disentanglement of Prosody Representations via Diffusion Models and Scheduled Gradient Reversal,

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This paper cites Discovery of shared latent nonlinear effective connectivity for eeg-based depression detection,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Discovery of shared latent nonlinear effective connectivity for eeg-based depression detection,

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This paper cites Speech as a biomarker for depression,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Speech as a biomarker for depression,

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This paper cites Unraveling the associations between voice pitch and major depressive disorder: a multisite genetic study,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Unraveling the associations between voice pitch and major depressive disorder: a multisite genetic study,

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This paper cites Linguistic markers of depression and emergent self-stigma in online self-disclosures: A mixed-methods study on chinese social media,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Linguistic markers of depression and emergent self-stigma in online self-disclosures: A mixed-methods study on chinese social media,

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This paper cites A review on methods and applications in multimodal deep learning,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training A review on methods and applications in multimodal deep learning,

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Observation 0722a9e6-b913-429d-a74a-2669e8504df1 · outbound

This paper cites Qui ˜nonero-Candela, M.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Qui ˜nonero-Candela, M

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This paper cites A brief review of domain adaptation,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training A brief review of domain adaptation,

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This paper cites Domain general- ization: A survey,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Domain general- ization: A survey,

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This paper cites Domain Generalization in Computational Pathology: Survey and Guidelines,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Domain Generalization in Computational Pathology: Survey and Guidelines,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Towards Out-Of-Distribution Generalization: A Survey,

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Observation d02e7394-05c4-40e1-be53-6c1a5b432e78 · outbound

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Generalizing Across Domains via Cross-Gradient Training

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Generalizing to Unseen Domains: A Survey on Domain Generalization,

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Observation 7e5fbb5b-e327-43b6-82c0-bf22eb96cbbd · outbound

This paper cites Generalization in neural networks: A broad survey,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Generalization in neural networks: A broad survey,

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This paper cites Domain-adversarial training of neural networks,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Domain-adversarial training of neural networks,

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Observation bbcba0c9-b07c-4817-97d6-0731ba1f7466 · outbound

This paper cites Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches,

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This paper cites Enhancing multimodal depression detection with intra-and inter-sample contrastive learning,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Enhancing multimodal depression detection with intra-and inter-sample contrastive learning,

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Observation 1c8091e6-ce6e-46f1-b87c-e2275a3c1ca8 · outbound

This paper cites The androids corpus: A new publicly available benchmark for speech based depression detection,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training The androids corpus: A new publicly available benchmark for speech based depression detection,

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This paper cites Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection

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This paper cites Interpretable probabilistic identification of depression in speech,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Interpretable probabilistic identification of depression in speech,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Cross-data multilevel attention for depression detection: Analyzing the interplay between read and spontaneous speech,

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Observation 1dd20cb7-f897-47c3-b201-04df29973186 · outbound

This paper cites Mixture of Experts for Recognizing Depression from Interview and Reading Tasks.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Mixture of Experts for Recognizing Depression from Interview and Reading Tasks

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Adaptive Knowledge Fusion Model for Depression Recognition,

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Observation a36d5de1-c4e0-4092-abe9-7442b76f7c60 · outbound

This paper cites Depression detection from speech data using deep learning–based optimized temporal–frequency–channel attention with interpretable acoustic–prosodic mapping,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Depression detection from speech data using deep learning–based optimized temporal–frequency–channel attention with interpretable acoustic–prosodic mapping,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Depression detection in read and sponta- neous speech: A Multimodal approach for lesser-resourced languages,

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This paper cites The Relationship Between Speech Features Changes When You Get Depressed: Feature Correlations for Improving Speed and Performance of Depression Detection.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training The Relationship Between Speech Features Changes When You Get Depressed: Feature Correlations for Improving Speed and Performance of Depression Detection

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Revealing confounding biases: A novel benchmarking approach for aggregate-level performance metrics in health assessments,

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This paper cites FAD3QN: A Brain-Inspired Deep Reinforcement Learning Model for Speech Depression Detection,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training FAD3QN: A Brain-Inspired Deep Reinforcement Learning Model for Speech Depression Detection,

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Observation cca45795-e381-4406-b0f2-98d704bc33d7 · outbound

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Using emotionally rich speech segments for depres- sion prediction,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Probing mental health information in speech foundation models

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Cross-Language Depression Detection Based on Multi-Domain Feature Alignment,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Depression detection from speech signals using a multiple temporal-frequency scale Channel Attention Mechanism,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Assessing privacy risks of attribute inference attacks against speech-based depression detection system,

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This paper cites A cross-attention layer coupled with mul- timodal fusion methods for recognizing depression from spontaneous speech,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training A cross-attention layer coupled with mul- timodal fusion methods for recognizing depression from spontaneous speech,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Punctual or Continu- ous? Analyzing Depression Traces in Language and Paralanguage with Multiple Instance Learning,

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This paper cites Mitigating Interviewer Bias in Multi- modal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Mitigating Interviewer Bias in Multi- modal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Multimodal measurement of depression using deep learning models,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Detecting depression with audio/text sequence modeling of interviews

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Multi- modal fusion of bert-cnn and gated cnn representations for depression detection,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Audibert: A deep transfer learning multimodal classification framework for depression screening,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Automatic depression detection: An emo- tional audio-textual corpus and a gru/bilstm-based model,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Bidirectional multimodal block-recurrent transformers for depression detection,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Intervoxnet: a novel dual-modal audio-text fusion network for automatic and efficient depression detection from interviews,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Text-guided multimodal depression detection via cross-modal feature reconstruction and decomposition,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Video-audio domain generalization via con- founder disentanglement,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Domain gen- eralization through audio-visual relative norm alignment in first person action recognition,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Simmmdg: A simple and effective framework for multi-modal domain generalization,

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Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Towards multimodal open-set domain generalization and adaptation through self-supervision,

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Observation 80514cea-e72b-4f0e-949d-c4e2dc785f8c · outbound

This paper cites A domain adversarial learning framework for major depression disorder diagnosis,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training A domain adversarial learning framework for major depression disorder diagnosis,

Reference 54

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Observation bb150fb9-4e4b-4581-9da9-46aa1c3c66dc · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 55

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This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 56

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 57

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Observation 49c5903d-1b3b-4e1e-a4bc-a8a8bc80b623 · outbound

This paper cites Italian bert and electra models,.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Italian bert and electra models,

Reference 58

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Observation c419608c-5899-4510-9651-c7976681eaf1 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training Unsupervised Cross-lingual Representation Learning at Scale

Reference 59

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