Explainable AI the Latest Advancements and New Trends | Paper Citation Record

Observation 740a5cdb-11b6-4ec6-98c2-5554c7d71ddd · outbound

This paper cites Trustworthy AI: A Computational Perspective.

Explainable AI the Latest Advancements and New Trends Trustworthy AI: A Computational Perspective

Reference 1

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This paper cites Interpreting Black -Box Models: A Review on Explainable Artificial Intelligence.

Explainable AI the Latest Advancements and New Trends Interpreting Black -Box Models: A Review on Explainable Artificial Intelligence

Reference 3

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This paper cites Fairness in Deep Learning: A Computational Perspective,.

Explainable AI the Latest Advancements and New Trends Fairness in Deep Learning: A Computational Perspective,

Reference 4

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This paper cites Available at: http://www.caict.ac.cn/sytj/202209/t20220913_408839.htm (Accessed: 17 October 2023).

Explainable AI the Latest Advancements and New Trends Available at: http://www.caict.ac.cn/sytj/202209/t20220913_408839.htm (Accessed: 17 October 2023)

Reference 6

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Reference 7

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This paper cites Available at: https://www.europarl.europa.eu/doceo/document/TA-8-2017- 0051_EN.html (Accessed: 17 October 2023).

Explainable AI the Latest Advancements and New Trends Available at: https://www.europarl.europa.eu/doceo/document/TA-8-2017- 0051_EN.html (Accessed: 17 October 2023)

Reference 8

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Reference 9

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This paper cites Department of Defense.

Explainable AI the Latest Advancements and New Trends Department of Defense

Reference 10

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Explainable AI the Latest Advancements and New Trends Department of Defense

Reference 11

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This paper cites Available at: https://www.nist.gov/trustworthy-and-responsible-ai (Accessed: 17 October 2023).

Explainable AI the Latest Advancements and New Trends Available at: https://www.nist.gov/trustworthy-and-responsible-ai (Accessed: 17 October 2023)

Reference 12

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This paper cites Available at: https://digital - strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai (Accessed: 17 October 2023).

Explainable AI the Latest Advancements and New Trends Available at: https://digital - strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai (Accessed: 17 October 2023)

Reference 13

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This paper cites Available at: https://www.ai -gakkai.or.jp/ai-elsi/archives/514 (Accessed: 17 October 2023).

Explainable AI the Latest Advancements and New Trends Available at: https://www.ai -gakkai.or.jp/ai-elsi/archives/514 (Accessed: 17 October 2023)

Reference 14

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This paper cites An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations.

Explainable AI the Latest Advancements and New Trends An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations

Reference 15

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This paper cites DARPA’s Explainable Artificial Intelligence (XAI) Program.

Explainable AI the Latest Advancements and New Trends DARPA’s Explainable Artificial Intelligence (XAI) Program

Reference 17

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This paper cites van Lent, W.

Explainable AI the Latest Advancements and New Trends van Lent, W

Reference 18

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This paper cites Explainable AI: A Review of Machine Learning Interpretability Methods.

Explainable AI the Latest Advancements and New Trends Explainable AI: A Review of Machine Learning Interpretability Methods

Reference 19

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This paper cites Global Model Interpretation via Recursive Partitioning.

Explainable AI the Latest Advancements and New Trends Global Model Interpretation via Recursive Partitioning

Reference 20

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This paper cites Nguyen, A.

Explainable AI the Latest Advancements and New Trends Nguyen, A

Reference 21

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Explainable AI the Latest Advancements and New Trends Erhan, A

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This paper cites Interpretable Explanations of Black Boxes by Meaningful Perturbation.

Explainable AI the Latest Advancements and New Trends Interpretable Explanations of Black Boxes by Meaningful Perturbation

Reference 25

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This paper cites Kindermans et al., ‘‘Learning how to explain neural networks: PatternNet and patternAttribution,’’ in Proc.

Explainable AI the Latest Advancements and New Trends Kindermans et al., ‘‘Learning how to explain neural networks: PatternNet and patternAttribution,’’ in Proc

Reference 26

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This paper cites Local Rule-Based Explanations of Black Box Decision Systems.

Explainable AI the Latest Advancements and New Trends Local Rule-Based Explanations of Black Box Decision Systems

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This paper cites Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible A.

Explainable AI the Latest Advancements and New Trends Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible A

Reference 29

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This paper cites Image deformation meta-networks for one-shot learning.

Explainable AI the Latest Advancements and New Trends Image deformation meta-networks for one-shot learning

Reference 30

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Explainable AI the Latest Advancements and New Trends Image block augmentation for one-shot learning

Reference 31

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Explainable AI the Latest Advancements and New Trends Multi-level semantic feature augmentation for one -shot learning

Reference 32

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Explainable AI the Latest Advancements and New Trends Prototypical networks for few-shot learning

Reference 33

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Explainable AI the Latest Advancements and New Trends Multimodal prototypical networks for few-shot learning

Reference 34

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Explainable AI the Latest Advancements and New Trends Self-paced adversarial training for multimodal few -shot learning

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Explainable AI the Latest Advancements and New Trends Adaptive cross-modal few -shot learning

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Explainable AI the Latest Advancements and New Trends Letham, C

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Explainable AI the Latest Advancements and New Trends Caruana, Y

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Explainable AI the Latest Advancements and New Trends Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Reference 39

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Explainable AI the Latest Advancements and New Trends Ustun and C

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Explainable AI the Latest Advancements and New Trends Breiman, ‘‘Statistical modeling: The two cultures (with comments and a rejoinder by the author),’’ Stat

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Explainable AI the Latest Advancements and New Trends Striving for Simplicity: The All Convolutional Net

Reference 42

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Explainable AI the Latest Advancements and New Trends Explainable Artificial Intelligence (XAI) on Hoax Detection Using Decision Tree C4.5 Method for Indonesian News Platform

Reference 43

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Explainable AI the Latest Advancements and New Trends Crime Forecasting using Interpretable Regression Techniques

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Explainable AI the Latest Advancements and New Trends Application Analysis of Combining BP Neural Network and Logistic Regression in Human Resource Management System

Reference 45

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Explainable AI the Latest Advancements and New Trends Bayesian Pruned Random Rule Foams for XAI

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Explainable AI the Latest Advancements and New Trends Process-Monitoring-for- Quality — A Model Selection Crite rion for Support Vector Machine

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Explainable AI the Latest Advancements and New Trends Generalised fuzzy cognitive maps: Considering the time dynamics between a cause and an effect

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Explainable AI the Latest Advancements and New Trends Visual explanations from spiking neural networks using inter -spike intervals

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Explainable AI the Latest Advancements and New Trends Customer Purchase Prediction Based on Improved Gradient Boosting Decision Tree Algorithm,

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Explainable AI the Latest Advancements and New Trends Development of a protocol for environmental impact studies using causal modelling

Reference 51

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Explainable AI the Latest Advancements and New Trends Learning causal Bayesian networks based on causality analysis for classification

Reference 52

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Explainable AI the Latest Advancements and New Trends Data augmentation for skin lesion using self -attention based progressive generative adversarial network

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Explainable AI the Latest Advancements and New Trends Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations

Reference 54

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Explainable AI the Latest Advancements and New Trends Advanced Machine Learning for Financial Markets: A PCA-GRU-LSTM Approach

Reference 55

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retraction dated 2025-11-26. Source: crossref record 10.1007/s13132-025-02994-1->10.1007/s13132-024-02108-3:retraction, observed 2026-07-11T02:53:48.291857+00:00. This notice travels one citation hop only.

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Explainable AI the Latest Advancements and New Trends Interactive Supervision with t - SNE

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Explainable AI the Latest Advancements and New Trends Enhance explainability of manifold learning

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Explainable AI the Latest Advancements and New Trends Antol, A

Reference 58

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Explainable AI the Latest Advancements and New Trends Chandrasekaran and P

Reference 59

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Explainable AI the Latest Advancements and New Trends Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

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Reference 81

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Reference 82

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Reference 86

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Reference 87

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Reference 89

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Reference 92

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Reference 93

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Reference 96

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Reference 97

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Reference 98

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Explainable AI the Latest Advancements and New Trends Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots

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Reference 100

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Reference 101

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