Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors | Paper Citation Record

Observation e11ccfa5-bfbb-44cb-b872-e167201c2d0d · outbound

This paper cites In: 2024 27th International Conference on Computer and Information Technology (ICCIT).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: 2024 27th International Conference on Computer and Information Technology (ICCIT)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.029154Z

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Observation 8c0c9fda-9ec1-456d-9da2-01a3d8b6173b · outbound

This paper cites In: 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.039661Z

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Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 3

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Observation c1ce75db-f2d0-45a3-908a-d663290a33be · outbound

This paper cites IEEE Access10, 68868–68884 (2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors IEEE Access10, 68868–68884 (2022) 2

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.025933Z

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Observation a8b501eb-0506-4243-9531-8c1cfde9ffcd · outbound

This paper cites In: 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.036118Z

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Observation 0eb392f4-9809-4807-a536-fd22f14953e4 · outbound

This paper cites Natural Language Processing Journal7, 100079 (2024) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Natural Language Processing Journal7, 100079 (2024) 2

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.032639Z

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Observation 3ad70289-5ded-477a-b64a-4060ccb5eaf4 · outbound

This paper cites In: Proceedings of the 2023 6th International Conference on Machine Vision and Applications.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: Proceedings of the 2023 6th International Conference on Machine Vision and Applications

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.022838Z

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Observation aa9c51a4-2790-418a-97f8-a01e3ea241e5 · outbound

This paper cites Clinical Immunology (Orlando, Fla.)243, 109108–109108 (2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Clinical Immunology (Orlando, Fla.)243, 109108–109108 (2022) 2

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.009591Z

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Observation 1b5188b0-bd7a-4bdc-b706-bd59eca778f5 · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:52.012661Z

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This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:52.000388Z

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This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:51.985580Z

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Observation 969b2692-b9b6-4f67-886c-d1ae2e38e1f8 · outbound

This paper cites IEEE Access10, 92597–92632 (2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors IEEE Access10, 92597–92632 (2022) 2

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.979963Z

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Observation 64fb87d8-197d-4723-a601-ecfa2e8bd58f · outbound

This paper cites In: 2023 26th International Con- ference on Computer and Information Technology (ICCIT).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: 2023 26th International Con- ference on Computer and Information Technology (ICCIT)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.982666Z

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This paper cites Neural Networks161(2023) 2, 3, 4, 5, 6.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Neural Networks161(2023) 2, 3, 4, 5, 6

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.991056Z

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Observation 6b2ab431-2dbd-4002-9514-237a4fab5c66 · outbound

This paper cites In: Farkaš, I., Masulli, P., Wermter, S.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: Farkaš, I., Masulli, P., Wermter, S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.997430Z

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This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:51.971525Z

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Observation a12ae204-7c29-4d76-aa32-cda3ba7961a5 · outbound

This paper cites Medical image analysis 75, 102305 (2021) 2 13.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Medical image analysis 75, 102305 (2021) 2 13

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.959620Z

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This paper cites Journal of biomedical informatics p.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Journal of biomedical informatics p

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.974237Z

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Observation 520e6cae-f5a8-457c-a00e-ffeedda4c13e · outbound

This paper cites Pattern Recognition (2023) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Pattern Recognition (2023) 2

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.988481Z

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Observation 124773bb-2ab3-4ee9-b4fd-a791fc7e622e · outbound

This paper cites Frontiers in Medicine11(2024) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Frontiers in Medicine11(2024) 2

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.019580Z

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Observation 6b04b478-5b75-4e63-9899-07f4a0dc40de · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:51.899881Z

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Observation 51d12619-4d0a-4ff2-8610-71637847e2d0 · outbound

This paper cites Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms

Reference 22

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Observation 93a40660-242f-4566-b666-6d3965071425 · outbound

This paper cites Journal of King Saud University - Com- puter and Information Sciences35(7), 101641 (2023) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Journal of King Saud University - Com- puter and Information Sciences35(7), 101641 (2023) 2

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.935025Z

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Observation 93b09dca-6004-4419-8644-a680bf0f4b5c · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:51.937858Z

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Observation a5d28755-6a8f-4343-b2d8-7f2ec48b4f47 · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:51.965484Z

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Observation 9901ee9a-f73d-46fc-9ad2-09977481fb05 · outbound

This paper cites Journal of Artificial Intelligence and Metaheuristics (2023) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Journal of Artificial Intelligence and Metaheuristics (2023) 2

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.885905Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f38a8c30-08c8-4e85-8be9-d6224c863b74 · outbound

This paper cites In: 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.888544Z

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Observation 5a22c020-b538-453b-88e1-ec405a1f8126 · outbound

This paper cites IEEE Journal of Biomedical and Health Informat- ics27, 17–28 (2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors IEEE Journal of Biomedical and Health Informat- ics27, 17–28 (2022) 2

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.928949Z

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Observation e2f4180a-102b-4459-957b-7ad6cbf80ec9 · outbound

This paper cites In: 2023 International Joint Conference on Neural Networks (IJCNN).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: 2023 International Joint Conference on Neural Networks (IJCNN)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.891448Z

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Observation 5c50a2c4-6303-4328-9a30-64e97d29fd52 · outbound

This paper cites In: 25th International Conference on Computer and Infor- mation Technology (ICCIT).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: 25th International Conference on Computer and Infor- mation Technology (ICCIT)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.940913Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77c303c3-2162-4878-9753-5898bfafa547 · outbound

This paper cites In: Proceedings of the First Workshop on Bangla Language Processing (BLP-2023).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.922423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8a467c7-435b-4fa1-87ce-de50a370da3f · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2023.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: Findings of the Association for Computational Linguistics: EMNLP 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.897132Z

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Observation 8a6e6a79-1b19-4b26-ba6c-1524f2dad3db · outbound

This paper cites Journal of Innovative Image Processing (2025) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Journal of Innovative Image Processing (2025) 2

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.894301Z

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Observation be813a7d-84ab-4b9c-ac29-1a4b32cdea90 · outbound

This paper cites IEEE Access12, 32819–32829 (2024) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors IEEE Access12, 32819–32829 (2024) 2

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.994428Z

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Observation c73c87c5-ce1f-426a-8bdc-0a4b25aadb26 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing57, 2290–2304 (2019) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors IEEE Transactions on Geoscience and Remote Sensing57, 2290–2304 (2019) 2

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:52.016360Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c7d7dc7a-1b08-42ba-a638-1130e2699060 · outbound

This paper cites In: Proceedings of the Conference on Empirical Methods in Natural Language Processing.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: Proceedings of the Conference on Empirical Methods in Natural Language Processing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.883331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acf86dbe-5480-44e4-b49f-de0cd26c7d2f · outbound

This paper cites Morbidity and Mortality Weekly Report72, 68–72 (2023) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Morbidity and Mortality Weekly Report72, 68–72 (2023) 2

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.926111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4293dc97-94dd-4c87-a06b-29593a5a76bf · outbound

This paper cites Lancet (London, England)401, 60–74 (2022) 1.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Lancet (London, England)401, 60–74 (2022) 1

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.912916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1acc3b16-ee2f-43a3-90a6-ce2b974ca6ab · outbound

This paper cites Cureus15(2023) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Cureus15(2023) 2

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.931719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0319fce2-f7de-4f78-baaf-5c53c416e7f5 · outbound

This paper cites IEEE Transactions on Medical Imaging41(2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors IEEE Transactions on Medical Imaging41(2022) 2

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.909780Z

Source-reported events for the cited work

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Observation e8e2ccfd-8c40-4a15-9321-be8bab74777f · outbound

This paper cites Medical Science Monitor : International Medical Journal of Experimental and Clinical Research28, e938203–1 – e938203–3 (2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Medical Science Monitor : International Medical Journal of Experimental and Clinical Research28, e938203–1 – e938203–3 (2022) 2

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.906451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d75b27b4-ca9e-4b6b-b68d-26f0c2b807f7 · outbound

This paper cites GeroScience44(2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors GeroScience44(2022) 2

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.902527Z

Source-reported events for the cited work

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Observation 4f73ab64-c887-43cf-99b9-1aa32f77c4cc · outbound

This paper cites In: ICCV 2025 Workshop on Cultural Continuity of Artists (2025) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: ICCV 2025 Workshop on Cultural Continuity of Artists (2025) 2

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.916340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 749f56a8-3685-46ff-8c7e-68f3c9f157c4 · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:51.919480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e40a5706-9513-4c2b-8854-05664087ed52 · outbound

This paper cites histopatho- logical images (2024) 8.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors histopatho- logical images (2024) 8

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.946957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dfba113d-747b-485f-b838-878103683c51 · outbound

This paper cites Infection50, 1425–1430 (2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Infection50, 1425–1430 (2022) 2

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.956301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78c3732d-480a-4e44-87ad-a7c3a7e38128 · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:51.962532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 278cb8e9-cb29-4d98-a9d5-965c077dca2f · outbound

This paper cites Pattern Recognition120, 108111 (2021) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Pattern Recognition120, 108111 (2021) 2

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.949957Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9e92499-e8b4-43f2-a008-04c2642aa8ee · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:52.003740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cde66dc9-fdcd-4bd1-9c87-ab005ea541b3 · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:52.006543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dce75e62-0fca-473c-9c9d-012951ea4020 · outbound

This paper cites an unresolved cited work.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-26T06:41:51.977309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e165a33-8635-4696-a910-aed8decc6390 · outbound

This paper cites ACM Computing Surveys 55, 1–40 (2022) 2.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors ACM Computing Surveys 55, 1–40 (2022) 2

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.968498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d56aab7-f3e7-4c2e-872a-a6d9a0c482aa · outbound

This paper cites SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:16:06.524470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aea41971-33b6-401c-9861-718893fb029f · outbound

This paper cites Generalizing from a Few Examples: A Survey on Few-Shot Learning.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors Generalizing from a Few Examples: A Survey on Few-Shot Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:16:06.533773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79c527a7-92ea-4662-8905-944a52a2dfb1 · outbound

This paper cites In: 2021 Joint 10th International Confer- ence on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR).

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors In: 2021 Joint 10th International Confer- ence on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.953241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fdec1f6f-aa55-4e6f-8f8a-45e619553824 · outbound

This paper cites IET Image Process.17, 3589–3598 (2023) 2 15.

Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors IET Image Process.17, 3589–3598 (2023) 2 15

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T06:41:51.943862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Outbound references

Pith citing papers