Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML | Paper Citation Record

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This paper cites Quantifying Attention Flow in Transformers.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Quantifying Attention Flow in Transformers

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This paper cites Nature Machine Intelligence5(9), 1006– 1019 (2023).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Nature Machine Intelligence5(9), 1006– 1019 (2023)

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This paper cites In: Computer Safety, Reliability, and Security.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Computer Safety, Reliability, and Security

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This paper cites IEEE Software (2023).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML IEEE Software (2023)

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This paper cites Computer54(8), 66–76 (2021).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Computer54(8), 66–76 (2021)

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This paper cites In: Model-Based Safety and Assessment: 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Model-Based Safety and Assessment: 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings

Reference 6

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This paper cites In: International symposium on model-based safety and assessment.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: International symposium on model-based safety and assessment

Reference 7

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Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Unresolved cited work

Reference 8

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This paper cites A Novel Explainable Artificial Intelligence Model in Image Classification problem.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML A Novel Explainable Artificial Intelligence Model in Image Classification problem

Reference 9

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This paper cites Medical Image Analysis (2021).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Medical Image Analysis (2021)

Reference 10

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This paper cites Neurocomputing408, 189–215 (2020).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Neurocomputing408, 189–215 (2020)

Reference 11

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This paper cites Nature Communications15(1), 524 (2024).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Nature Communications15(1), 524 (2024)

Reference 12

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This paper cites ACM trans- actions on intelligent systems and technology (TIST)2(3), 1–27 (2011).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML ACM trans- actions on intelligent systems and technology (TIST)2(3), 1–27 (2011)

Reference 13

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 14

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This paper cites IEEE Access10, 39769–39781 (2022).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML IEEE Access10, 39769–39781 (2022)

Reference 15

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This paper cites In: 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018)

Reference 16

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

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

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This paper cites nature 542(7639), 115–118 (2017).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML nature 542(7639), 115–118 (2017)

Reference 18

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This paper cites Machine Learning Research9, 1871–1874 (2008).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Machine Learning Research9, 1871–1874 (2008)

Reference 19

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This paper cites Scope Compliance Uncertainty Estimate.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Scope Compliance Uncertainty Estimate

Reference 20

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This paper cites In: Model-Based Safety and Assessment: 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Model-Based Safety and Assessment: 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings

Reference 21

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Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Unresolved cited work

Reference 22

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This paper cites European Journal of Cancer 167, 54–69 (2022).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML European Journal of Cancer 167, 54–69 (2022)

Reference 23

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This paper cites Scientific data11(1), 641 (2024).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Scientific data11(1), 641 (2024)

Reference 24

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This paper cites Applied Soft Computing159, 111624 (2024).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Applied Soft Computing159, 111624 (2024)

Reference 25

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This paper cites In: World Conference on Explainable Artificial Intelligence.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: World Conference on Explainable Artificial Intelligence

Reference 26

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This paper cites In: 2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: 2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE)

Reference 27

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Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Unresolved cited work

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This paper cites Explainable Deep Image Classifiers for Skin Lesion Diagnosis.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Explainable Deep Image Classifiers for Skin Lesion Diagnosis

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Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Unresolved cited work

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This paper cites In: International cross- domain conference for machine learning and knowledge extraction.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: International cross- domain conference for machine learning and knowledge extraction

Reference 31

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This paper cites Neural Computing and Applications33(22), 15171–15189 (2021).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Neural Computing and Applications33(22), 15171–15189 (2021)

Reference 32

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Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML why should i trust you?

Reference 33

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This paper cites Neurocomputing597, 127969 (2024).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Neurocomputing597, 127969 (2024)

Reference 34

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 35

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Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Proceedings of the IEEE Int

Reference 36

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Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Unresolved cited work

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This paper cites Nature Medicine26(8), 1229–1234 (2020).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Nature Medicine26(8), 1229–1234 (2020)

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This paper cites Scientific data 5(1), 1–9 (2018).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Scientific data 5(1), 1–9 (2018)

Reference 39

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This paper cites In: Journal of Physics: Conference Series.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Journal of Physics: Conference Series

Reference 40

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This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pat- tern recognition workshops.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Proceedings of the IEEE/CVF conference on computer vision and pat- tern recognition workshops

Reference 41

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This paper cites Applied Intelligence 53(23), 28226–28240 (2023).

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Applied Intelligence 53(23), 28226–28240 (2023)

Reference 42

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This paper cites Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 44

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