PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic | Paper Citation Record

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This paper cites Learning from noisy labels with deep neural networks: A survey,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Learning from noisy labels with deep neural networks: A survey,

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This paper cites Your other left! vision-language models fail to identify relative positions in medical images,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Your other left! vision-language models fail to identify relative positions in medical images,

Reference 2

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This paper cites Assessing the transferability of adversarial patches in real-world systems: Implications for adversarial testing of image recognition security,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Assessing the transferability of adversarial patches in real-world systems: Implications for adversarial testing of image recognition security,

Reference 3

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This paper cites Understanding the effect of accuracy on trust in machine learning models,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Understanding the effect of accuracy on trust in machine learning models,

Reference 4

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This paper cites Ethics guidelines for trustworthy ai,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Ethics guidelines for trustworthy ai,

Reference 5

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This paper cites Establishing and evaluating trustworthy ai: overview and research challenges,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Establishing and evaluating trustworthy ai: overview and research challenges,

Reference 6

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This paper cites Trustworthy transfer learning: A survey,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Trustworthy transfer learning: A survey,

Reference 7

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic SmoothGrad: removing noise by adding noise

Reference 8

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This paper cites Jøsang,Subjective Logic: A Formalism for Reasoning Under Uncertainty, ser.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Jøsang,Subjective Logic: A Formalism for Reasoning Under Uncertainty, ser

Reference 9

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This paper cites Upper and lower probabilities induced by a multivalued mapping,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Upper and lower probabilities induced by a multivalued mapping,

Reference 10

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This paper cites Shafer,A Mathematical Theory of Evidence.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Shafer,A Mathematical Theory of Evidence

Reference 11

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This paper cites Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias

Reference 12

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This paper cites Multi-source fusion in subjective logic,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Multi-source fusion in subjective logic,

Reference 13

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This paper cites On subjective logic trust discount for referral paths,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic On subjective logic trust discount for referral paths,

Reference 14

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This paper cites Trust network analysis with subjective logic,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Trust network analysis with subjective logic,

Reference 15

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This paper cites Trust network analysis with subjective logic,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Trust network analysis with subjective logic,

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This paper cites Optimal trust network analysis with sub- jective logic,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Optimal trust network analysis with sub- jective logic,

Reference 17

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This paper cites Propagation of trust and distrust,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Propagation of trust and distrust,

Reference 18

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This paper cites A review on trust propagation and opinion dynamics in social networks and group decision making frameworks,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic A review on trust propagation and opinion dynamics in social networks and group decision making frameworks,

Reference 19

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This paper cites Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources,

Reference 20

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This paper cites An optimized framework for dspg synthesis and trust network analysis with subjective logic,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic An optimized framework for dspg synthesis and trust network analysis with subjective logic,

Reference 21

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This paper cites Dos and Don'ts of Machine Learning in Computer Security.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Dos and Don'ts of Machine Learning in Computer Security

Reference 22

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This paper cites Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Reference 23

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Unresolved cited work

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This paper cites What uncertainties do we need in Bayesian deep learning for computer vision?.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic What uncertainties do we need in Bayesian deep learning for computer vision?

Reference 25

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Unresolved cited work

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Weight Uncertainty in Neural Networks

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Decomposition of uncertainty in Bayesian deep learning for efficient and risk-sensitive learning,

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 29

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Reference 30

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic A survey of uncertainty in deep neural networks,

Reference 31

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic The need for uncertainty quantification in machine-assisted medical decision making,

Reference 32

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered

Reference 33

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This paper cites Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic On calibration of modern neural networks,

Reference 35

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Evidential Deep Learning to Quantify Classification Uncertainty

Reference 36

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Quantifying calibration error in neural networks through evidence-based theory,

Reference 37

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This paper cites There is hope after all: Quantifying opinion and trustwortheiness in neural networks,.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic There is hope after all: Quantifying opinion and trustwortheiness in neural networks,

Reference 38

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Uncertainty propagation for dropout-based bayesian neural networks,

Reference 39

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Input uncertainty propagation through trained neural networks,

Reference 40

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Propagation of uncertainty through multilayer perceptrons for robust automatic speech recognition

Reference 41

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Spreading activation models for trust propagation,

Reference 42

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Multi-Source Fusion Operations in Subjective Logic

Reference 43

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Breast cancer wisconsin (diagnostic) data set,

Reference 44

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Gradient-based learning applied to document recognition,

Reference 45

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This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 46

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Principles of subjective networks,

Reference 47

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Sincea q ∈[0,1[, this is a geometric sequence: an =a 0an q →0asn→ ∞

Reference 49

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic This is a first-order linear recurrence

Reference 50

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PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Unresolved cited work

Reference 51

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This paper cites Available: https://www.frontiersin.org/journals/big-data/ articles/10.3389/fdata.2024.1467222.

PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Available: https://www.frontiersin.org/journals/big-data/ articles/10.3389/fdata.2024.1467222

Reference 2024

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