Paper Citation Record · LEDGER

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification

As of 9 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2507.12177.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.12177 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:55:35.721709Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:04:44.636446Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T12:04:46.369256Z

Reference resolution

63 of 63 outbound references displayed

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External citation measurements

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Outbound references

Observation c4524b57-881d-43a8-a74d-432c63158cb9 · outbound

This paper cites Ullah, M.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Ullah, M

Reference 1

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Observation a829de71-77b7-45dc-aef2-533a9ff76319 · outbound

This paper cites Popuri, D.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Popuri, D

Reference 2

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Observation 8486de49-b56d-4557-8970-10cd37423515 · outbound

This paper cites Ullah, M.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Ullah, M

Reference 3

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Observation f1428b5a-9500-4ca6-a569-72729ddc9496 · outbound

This paper cites Saleh, R.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Saleh, R

Reference 4

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 5

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Observation 7b567c53-ef48-465f-8eca-6bbc6b198187 · outbound

This paper cites Aamir, Z.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Aamir, Z

Reference 6

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Observation 607a8387-bcaf-412f-8ad5-29e67c9faf6d · outbound

This paper cites Sandhiya, S.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Sandhiya, S

Reference 7

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This paper cites Agrawal, P.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Agrawal, P

Reference 8

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This paper cites Priya, V.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Priya, V

Reference 9

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Observation 8e4b06cc-8087-4550-a732-a09189a93214 · outbound

This paper cites Deepak, P.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Deepak, P

Reference 10

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 11

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Observation 0c01ffe1-afae-4df4-b520-09c7ce4e2982 · outbound

This paper cites Khawaldeh, U.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Khawaldeh, U

Reference 12

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Observation 6c38a16d-f567-403a-a534-665c224674c8 · outbound

This paper cites Saxena, A.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Saxena, A

Reference 13

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 14

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Observation 4fc166a0-a2e0-4a6b-b9bc-f600d786392f · outbound

This paper cites Wicht, Deep learning feature extraction for image processing, Ph.D.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Wicht, Deep learning feature extraction for image processing, Ph.D

Reference 15

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Observation 261452c8-ff4e-40cd-8164-73f24a3d0ddc · outbound

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 16

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 17

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Observation 8044c583-574f-467d-8778-45d55eba5966 · outbound

This paper cites Şahin, D.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Şahin, D

Reference 18

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Observation f84b95a6-fc5c-4155-977b-818929d3309e · outbound

This paper cites Wang, S.-Y.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Wang, S.-Y

Reference 19

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Observation 99eb2174-b660-4f39-9bce-ac4532c06aa0 · outbound

This paper cites Bhuvaji, A.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Bhuvaji, A

Reference 20

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Observation 0401461e-fec0-45dc-a977-59d6593c70e8 · outbound

This paper cites Chakrabarty, Brain mri images for brain tumor detection, J.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Chakrabarty, Brain mri images for brain tumor detection, J

Reference 21

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Observation 45a900b8-781c-4f7a-a4fe-260c5e367a6b · outbound

This paper cites Hamada, Br35h brain tumor detection 2020 dataset, https://www.kaggle.com/ahmedhamada0/braintumor-detection (2020).

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Hamada, Br35h brain tumor detection 2020 dataset, https://www.kaggle.com/ahmedhamada0/braintumor-detection (2020)

Reference 22

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Observation b85bc9c1-3b0e-46db-b229-e1260cf5eaef · outbound

This paper cites Zhang, X.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Zhang, X

Reference 23

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Observation 43f70db1-9893-4139-97ef-71828393aaed · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification The Effectiveness of Data Augmentation in Image Classification using Deep Learning

Reference 24

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Image Data Augmentation for Deep Learning: A Survey

Reference 25

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

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

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This paper cites Wu, Introduction to convolutional neural networks, National Key Lab for Novel Software Technology.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Wu, Introduction to convolutional neural networks, National Key Lab for Novel Software Technology

Reference 27

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This paper cites Learning Activation Functions: A new paradigm for understanding Neural Networks.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Learning Activation Functions: A new paradigm for understanding Neural Networks

Reference 28

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Krizhevsky, I

Reference 29

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This paper cites Akçay, M.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Akçay, M

Reference 30

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 31

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This paper cites Christodoulidis, M.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Christodoulidis, M

Reference 32

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This paper cites Tajbakhsh, J.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Tajbakhsh, J

Reference 33

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This paper cites Weiss, T.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Weiss, T

Reference 34

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This paper cites Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Visual Transformers: Token-based Image Representation and Processing for Computer Vision

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Huang, Z

Reference 38

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 39

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification One weird trick for parallelizing convolutional neural networks

Reference 40

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This paper cites Szegedy, V.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Szegedy, V

Reference 41

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 42

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Sandler, A

Reference 43

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 44

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This paper cites Pedregosa, G.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Pedregosa, G

Reference 45

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Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 46

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This paper cites Freund, R.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Freund, R

Reference 47

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Observation 5759b959-a4b2-4d27-8e74-8930e88cc2a7 · outbound

This paper cites Breiman, Random forests, Machine learning 45 (2001) 5–32.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Breiman, Random forests, Machine learning 45 (2001) 5–32

Reference 48

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This paper cites Cortes, V.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Cortes, V

Reference 49

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Observation 6af69aeb-ee97-4c61-a2fa-61f78a57c2cb · outbound

This paper cites Hyper-Parameter Optimization: A Review of Algorithms and Applications.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 50

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Observation 959f7a9a-9759-4018-aae0-e59bd2dd4d54 · outbound

This paper cites Tran, J.-G.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Tran, J.-G

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:55:38.288304Z

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Observation 9e8e6e97-ddb7-47de-a5c1-676cbfacd559 · outbound

This paper cites Hyperparameter Search in Machine Learning.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Hyperparameter Search in Machine Learning

Reference 52

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Observation 4c8523ed-2c5f-453e-844e-ca227fb97219 · outbound

This paper cites an unresolved cited work.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 53

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Observation e0a36efa-34c3-4add-bc90-c9ad6fd62d69 · outbound

This paper cites Rajagopal, P.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Rajagopal, P

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:55:37.875096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57bd397d-dd6e-4be1-9d04-49845cce1c29 · outbound

This paper cites Henderi, T.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Henderi, T

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:55:37.666445Z

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Observation fa8dfcc3-2c37-459e-b399-8b5f93502709 · outbound

This paper cites Singh, B.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Singh, B

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:55:37.502702Z

Source-reported events for the cited work

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Observation 0df6a4a2-2639-45b8-82be-61d02648e04d · outbound

This paper cites an unresolved cited work.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:55:37.327270Z

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Observation ff3d5a2d-d3e6-4989-92d1-b158646f46bc · outbound

This paper cites an unresolved cited work.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:55:37.158791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6550e888-991a-46a2-ace9-02220e12c840 · outbound

This paper cites an unresolved cited work.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:55:36.957363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5fd391b5-79c8-4889-9e40-1e974adb6f96 · outbound

This paper cites Fallahi, S.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Fallahi, S

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:55:36.714477Z

Source-reported events for the cited work

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Observation 9fbb33ad-883d-4716-ae88-5c1d7dbfc4d4 · outbound

This paper cites an unresolved cited work.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:55:36.562802Z

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Observation ea365e90-4f8f-44e3-b409-1b9511f283ec · outbound

This paper cites Vida, Practical guide to deal with imbalanced classification prob- lems in r.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Vida, Practical guide to deal with imbalanced classification prob- lems in r

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:55:36.387805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e775b37b-36c0-4168-a6f6-9294fec15247 · outbound

This paper cites Goodfellow, Y.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Goodfellow, Y

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:55:36.212070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 8a50fca9-347d-4572-b0cd-1b2d86238dde · inbound

Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis cites this paper.

Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:04:46.482505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.