Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification | Paper Citation Record

Observation 20138f7b-6e15-4ea8-8437-eb1508597c97 · outbound

This paper cites Zheng, M.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Zheng, M

Reference 1

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Observation 2bbba95a-2663-4e12-804d-4903091fda53 · outbound

This paper cites Predictive dynamic fusion,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Predictive dynamic fusion,

Reference 2

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Observation 95b6bdab-45e2-43ea-b3fc-300765b388e1 · outbound

This paper cites Calm: An enhanced encoding and confidence evaluating framework for trustworthy multi-view learning,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Calm: An enhanced encoding and confidence evaluating framework for trustworthy multi-view learning,

Reference 3

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Observation 31c1a0d4-5774-431b-ae6a-25dea0256f67 · outbound

This paper cites Multimodal dynamics: Dynamical fusion for trustworthy multimodal classification,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Multimodal dynamics: Dynamical fusion for trustworthy multimodal classification,

Reference 4

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Observation 5db9391e-9b95-4474-877e-18d5030987a3 · outbound

This paper cites An empirical study of training end-to-end vision-and-language transformers,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification An empirical study of training end-to-end vision-and-language transformers,

Reference 5

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Observation 95a0dfde-451c-44d1-b79a-ec6e078ac247 · outbound

This paper cites Clip-event: Connecting text and images with event structures,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Clip-event: Connecting text and images with event structures,

Reference 6

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Observation 476b0911-8866-4697-8d3a-5578f8811424 · outbound

This paper cites Cubemlp: An mlp-based model for multimodal sentiment analysis and depression estimation,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Cubemlp: An mlp-based model for multimodal sentiment analysis and depression estimation,

Reference 7

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Observation bb331645-0618-4b7d-9c7e-d0b65978c150 · outbound

This paper cites Clap learning audio concepts from natural language supervision,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Clap learning audio concepts from natural language supervision,

Reference 8

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Observation 4df488f5-8d3a-4e06-a567-4501d66151df · outbound

This paper cites Unimf: A unified multimodal framework for multimodal sentiment analysis in missing modalities and unaligned multimodal sequences,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Unimf: A unified multimodal framework for multimodal sentiment analysis in missing modalities and unaligned multimodal sequences,

Reference 9

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Observation 60efdd33-02c4-467c-837e-2270b0e134ae · outbound

This paper cites Building multimodal knowledge bases with multimodal computational sequences and generative adversarial net- works,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Building multimodal knowledge bases with multimodal computational sequences and generative adversarial net- works,

Reference 10

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Observation 4914be8b-bea8-45d0-aee4-b4a8e65dbdc7 · outbound

This paper cites Deep multimodal sequence fusion by regularized expressive representation distillation,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Deep multimodal sequence fusion by regularized expressive representation distillation,

Reference 11

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Observation d04d5ede-cb8b-4cbc-aa4e-d31e203a4ecf · outbound

This paper cites Msdlf-k: A multimodal feature learning approach for sentiment analysis in korean incorporating text and speech,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Msdlf-k: A multimodal feature learning approach for sentiment analysis in korean incorporating text and speech,

Reference 12

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Observation 81fb61ce-66fd-457a-b8c1-d7070a3a4a23 · outbound

This paper cites Sia-net: Sparse interactive attention network for multimodal emotion recognition,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Sia-net: Sparse interactive attention network for multimodal emotion recognition,

Reference 13

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Observation 986806f5-12eb-4f98-a23b-2cdf1215b14c · outbound

This paper cites Aia-net: Adaptive interactive attention network for text–audio emotion recogni- tion,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Aia-net: Adaptive interactive attention network for text–audio emotion recogni- tion,

Reference 14

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Observation ef2f4f84-594e-462e-b5ef-57b59943c1ed · outbound

This paper cites Mia-net: Multi-modal interactive attention network for multi-modal affective analysis,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Mia-net: Multi-modal interactive attention network for multi-modal affective analysis,

Reference 15

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Observation b47043f1-ba7d-4ec5-986a-c3cd8a06a55d · outbound

This paper cites Robust saliency- aware distillation for few-shot fine-grained visual recognition,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Robust saliency- aware distillation for few-shot fine-grained visual recognition,

Reference 16

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This paper cites Videodreamer: Customized multi-subject text-to-video generation with disen-mix finetuning on language-video foundation models,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Videodreamer: Customized multi-subject text-to-video generation with disen-mix finetuning on language-video foundation models,

Reference 17

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Observation e604463d-4bfe-4d16-8f62-7507339c7f17 · outbound

This paper cites Dual-task mutual reinforcing embedded joint video paragraph retrieval and grounding,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Dual-task mutual reinforcing embedded joint video paragraph retrieval and grounding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:09.113575Z

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Observation 891fe7b7-d468-488f-9441-fb9e56880654 · outbound

This paper cites Motion direction awareness: A biomimetic dynamic capture mechanism for video prediction,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Motion direction awareness: A biomimetic dynamic capture mechanism for video prediction,

Reference 19

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Observation 35f02b9d-a039-411e-ae83-71a23750e2cc · outbound

This paper cites Balanced multimodal learning via on-the-fly gradient modulation,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Balanced multimodal learning via on-the-fly gradient modulation,

Reference 20

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Observation 3f5256b7-497d-43fb-9821-8f7d037a4141 · outbound

This paper cites Cal- ibrating multimodal learning,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Cal- ibrating multimodal learning,

Reference 21

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Observation 2b9d3677-dfae-4d58-83f3-b43421afe857 · outbound

This paper cites On-the-fly modulation for balanced multimodal learning,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification On-the-fly modulation for balanced multimodal learning,

Reference 22

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Observation 0c117772-f904-4c1e-8a83-15a9374163cb · outbound

This paper cites Noise-aware unsupervised deep lidar-stereo fusion,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Noise-aware unsupervised deep lidar-stereo fusion,

Reference 23

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Observation ced0d6a3-fe49-4c27-b2f1-5dce64ca47d8 · outbound

This paper cites Uncertainty-aware multi-view representation learning,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Uncertainty-aware multi-view representation learning,

Reference 24

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This paper cites Multimodal Fusion on Low-quality Data: A Comprehensive Survey.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Multimodal Fusion on Low-quality Data: A Comprehensive Survey

Reference 25

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Observation f35e8ecd-18e7-4d41-afa6-27105b65576b · outbound

This paper cites Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection,

Reference 26

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This paper cites Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation,

Reference 27

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Observation bdbe748d-cb60-461c-b8ce-419b15a1eb1e · outbound

This paper cites Dpnet: Dynamic poly-attention network for trustworthy multi-modal classification,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Dpnet: Dynamic poly-attention network for trustworthy multi-modal classification,

Reference 28

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Observation e079c73b-56e1-4f23-8cb3-22ae587a64a9 · outbound

This paper cites Multi-level confi- dence learning for trustworthy multimodal classification,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Multi-level confi- dence learning for trustworthy multimodal classification,

Reference 29

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Observation 5f8b4ac0-52a8-4975-af76-53f0dd96dcc5 · outbound

This paper cites Cold fusion: Calibrated and ordinal latent dis- tribution fusion for uncertainty-aware multimodal emotion recognition,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Cold fusion: Calibrated and ordinal latent dis- tribution fusion for uncertainty-aware multimodal emotion recognition,

Reference 30

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Observation 6c1334aa-e458-4c8b-bec7-41d27a2512f8 · outbound

This paper cites Provable dynamic fusion for low-quality multimodal data,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Provable dynamic fusion for low-quality multimodal data,

Reference 31

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Observation 403d3a0f-5195-438d-a73e-014123fa0d64 · outbound

This paper cites Pace-adaptive and noise-resistant contrastive learning for multimodal feature fusion,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Pace-adaptive and noise-resistant contrastive learning for multimodal feature fusion,

Reference 32

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Observation 9e9fe95e-6e43-4fdf-9be3-d365fa73182a · outbound

This paper cites Disentangled multimodal representation learning for recommendation,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Disentangled multimodal representation learning for recommendation,

Reference 33

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Observation 4674c933-f3ac-4dba-8ce5-e2a3b722f7b8 · outbound

This paper cites Multimodal affective computing with dense fusion transformer for inter- and intra-modality interactions,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Multimodal affective computing with dense fusion transformer for inter- and intra-modality interactions,

Reference 34

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Observation 852468c2-9541-4d89-9ef1-5eff5bbe2592 · outbound

This paper cites Ld-man: Layout-driven multimodal attention network for online news sentiment recognition,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Ld-man: Layout-driven multimodal attention network for online news sentiment recognition,

Reference 35

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Observation 714ceaf8-581f-4697-9e09-b6cf22564221 · outbound

This paper cites Image-text multimodal emotion classification via multi-view attentional network,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Image-text multimodal emotion classification via multi-view attentional network,

Reference 36

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Observation 4ec28f28-ae5b-4fb3-ab23-aac73247b54d · outbound

This paper cites Congmc: Consistency-guided multi- modal clustering via mutual information maximin,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Congmc: Consistency-guided multi- modal clustering via mutual information maximin,

Reference 37

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Observation 98e41935-26d6-48f9-a422-62c8a68033e1 · outbound

This paper cites Dynamically shifting multimodal representations via hybrid-modal attention for multimodal sentiment analysis,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Dynamically shifting multimodal representations via hybrid-modal attention for multimodal sentiment analysis,

Reference 38

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Observation c3f72fec-59d0-4b61-8a66-b444c84855d0 · outbound

This paper cites Dominant single-modal supplementary fusion (simsuf) for multimodal sentiment analysis,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Dominant single-modal supplementary fusion (simsuf) for multimodal sentiment analysis,

Reference 39

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Observation 4ff444b2-a0cf-4e21-b774-d82f2da14f3e · outbound

This paper cites Trusted multi-view classifica- tion,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Trusted multi-view classifica- tion,

Reference 40

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This paper cites Transforming neural-net output levels to probability distributions,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Transforming neural-net output levels to probability distributions,

Reference 41

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Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Unresolved cited work

Reference 42

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Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Unresolved cited work

Reference 43

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This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 44

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This paper cites Energy-based out-of-distribution detection,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Energy-based out-of-distribution detection,

Reference 45

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This paper cites Convolutional networks with adaptive infer- ence graphs,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Convolutional networks with adaptive infer- ence graphs,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.657631Z

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Observation 818d6de7-87f1-480a-882e-d028fe10b943 · outbound

This paper cites Channel gating neural networks,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Channel gating neural networks,

Reference 47

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This paper cites Pixel-adaptive convolutional neural networks,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Pixel-adaptive convolutional neural networks,

Reference 48

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Observation 2ba0b2da-b22a-48a4-a648-c591f7f96440 · outbound

This paper cites Dynamic neural networks: A survey,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Dynamic neural networks: A survey,

Reference 49

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This paper cites Multi-Scale Dense Networks for Resource Efficient Image Classification.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Multi-Scale Dense Networks for Resource Efficient Image Classification

Reference 50

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Observation a1bb415e-7cd3-4b75-95af-902e67a89c6e · outbound

This paper cites Skipnet: Learning dynamic routing in convolutional networks,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Skipnet: Learning dynamic routing in convolutional networks,

Reference 51

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Observation 6f88bce0-1e79-43c7-89a5-4d063e13c24e · outbound

This paper cites Anytime recognition with routing convolutional networks,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Anytime recognition with routing convolutional networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.577233Z

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Observation 9cfffb4a-f317-4cbc-a455-67cce72c4015 · outbound

This paper cites DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

Reference 53

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This paper cites Bert loses patience: Fast and robust inference with early exit,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Bert loses patience: Fast and robust inference with early exit,

Reference 54

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This paper cites Dynamicdet: A unified dynamic architecture for object detection,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Dynamicdet: A unified dynamic architecture for object detection,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.547480Z

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This paper cites Dynamic multimodal fusion,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Dynamic multimodal fusion,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.529522Z

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This paper cites Learning Robust Representations via Multi-View Information Bottleneck.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Learning Robust Representations via Multi-View Information Bottleneck

Reference 57

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This paper cites Deep semantic clustering by partition confidence maximisation,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Deep semantic clustering by partition confidence maximisation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.511828Z

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This paper cites Overview and findings from the religious orders study,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Overview and findings from the religious orders study,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.493869Z

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This paper cites A multi-omic atlas of the human frontal cortex for aging and alzheimer’s disease research. sci data 5: 180142,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification A multi-omic atlas of the human frontal cortex for aging and alzheimer’s disease research. sci data 5: 180142,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.476326Z

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This paper cites The caltech-ucsd birds-200-2011 dataset,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification The caltech-ucsd birds-200-2011 dataset,

Reference 61

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This paper cites Recipe recognition with large multimodal food dataset,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Recipe recognition with large multimodal food dataset,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.446923Z

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This paper cites Trustworthy multimodal regression with mixture of normal-inverse gamma distribu- tions,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Trustworthy multimodal regression with mixture of normal-inverse gamma distribu- tions,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.430027Z

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Observation 83273b59-030d-4b24-b63c-d60bdb4f0f0b · outbound

This paper cites Epigenetic-mediated downregulation of zinc finger protein 671 (znf671) predicts poor prognosis in multiple solid tumors,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Epigenetic-mediated downregulation of zinc finger protein 671 (znf671) predicts poor prognosis in multiple solid tumors,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.412913Z

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Observation 9ebabf9b-7f7c-4e04-9fed-32df08cbd9cb · outbound

This paper cites mirna-378 is downregulated by xbp1 and inhibits growth and migration of luminal breast cancer cells,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification mirna-378 is downregulated by xbp1 and inhibits growth and migration of luminal breast cancer cells,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.394378Z

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Observation a8484c12-7f09-4a23-bc43-d89bad6e96d4 · outbound

This paper cites Clinical relevance of the deregulated kallikrein-related peptidase 8 mrna expression in breast cancer: a novel independent indicator of disease-free survival,.

Multi-QuAD: Multi-Level Quality-Adaptive Dynamic Network for Reliable Multimodal Classification Clinical relevance of the deregulated kallikrein-related peptidase 8 mrna expression in breast cancer: a novel independent indicator of disease-free survival,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:16:08.375762Z

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