Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation | Paper Citation Record

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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This paper cites Khorramdelazad, M.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Khorramdelazad, M

Reference 3

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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This paper cites Gupta, T.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Gupta, T

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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This paper cites Al-khassaweneh, R.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Al-khassaweneh, R

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This paper cites Swarnkar, U.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Swarnkar, U

Reference 8

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This paper cites Brown, J.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Brown, J

Reference 9

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This paper cites Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough

Reference 10

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This paper cites Orlandic, T.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Orlandic, T

Reference 11

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 12

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This paper cites Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis

Reference 13

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This paper cites Cohen-McFarlane, R.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Cohen-McFarlane, R

Reference 14

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Santosh, N

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This paper cites A literature review on COVID-19 disease diagnosis from respiratory sound data.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation A literature review on COVID-19 disease diagnosis from respiratory sound data

Reference 18

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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This paper cites Gomes, C.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Gomes, C

Reference 21

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 22

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Deshpande, A

Reference 23

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This paper cites Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Imran, I

Reference 25

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This paper cites Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic

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This paper cites IATos: AI-powered pre-screening tool for COVID-19 from cough audio samples.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation IATos: AI-powered pre-screening tool for COVID-19 from cough audio samples

Reference 27

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Pahar, M

Reference 28

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Schuller, A

Reference 29

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Muguli, L

Reference 32

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This paper cites QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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This paper cites AKG ¨UN, A.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation AKG ¨UN, A

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Anupam, N

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Benmalek, J

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Benmalek, J

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Orlandic, T

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Awais, A

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Sunitha, A

Reference 44

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Hamdi, M

Reference 45

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Skander, A

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Vinod, N

Reference 48

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Ayappan, S

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Cesarelli, M

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Deivasikamani, R

Reference 53

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Esposito, S

Reference 54

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Soltanian, K

Reference 55

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Kapoor, T

Reference 56

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Islam, E

Reference 58

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

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Observation 2224cc5b-72bc-4df2-a17d-4829c5b01e63 · outbound

This paper cites Islam, E.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Islam, E

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:16.082128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba2f6182-689f-492a-b0a4-1749926c1083 · outbound

This paper cites Andreu-Perez, H.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Andreu-Perez, H

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:16.050541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc880ecb-ba60-438e-8490-389a1aa3fc9b · outbound

This paper cites Zealouk, H.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Zealouk, H

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:16.030445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f4b82445-fd45-4ed2-82ab-875260a561a7 · outbound

This paper cites Hassan, I.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Hassan, I

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:16.011266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e7a56aa-a8cd-4475-b625-dff103a3eaee · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.991432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 04bfa6c3-c9fb-4dcb-99c1-c2b9b8aef79e · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.974107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 56d98a36-0651-4ab3-ae2a-84fecfec2b25 · outbound

This paper cites Rayan, S.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Rayan, S

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.960193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation db976788-09b1-4ec3-98d5-80f48319cca2 · outbound

This paper cites Ayyavaraiah, B.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Ayyavaraiah, B

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.945255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e42d5881-6735-4cce-bd83-1c0d2012ec59 · outbound

This paper cites Despotovi´c, M.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Despotovi´c, M

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.928072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3001cc1b-1129-48f4-838f-1bc883ae7ee1 · outbound

This paper cites Laguarta, F.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Laguarta, F

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:14.402711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0f50197-b96f-42c1-a1cf-5ce9845eac9a · outbound

This paper cites Trang, H.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Trang, H

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.910969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 70fc09d8-7b00-4a33-963c-4258570cd19a · outbound

This paper cites Malviya, R.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Malviya, R

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.890536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a723a3cf-5799-4266-bba8-42db3d4e40df · outbound

This paper cites Zhang, M.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Zhang, M

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.873948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f43cc704-7066-4d02-b325-d59f0ac1fdb4 · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.855938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb911cc5-395c-4cdd-bcb0-0ac6994f6a35 · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.836938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc3ee576-22fd-4920-a378-95d389769aa6 · outbound

This paper cites Kumawat, Utkarsh, A.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Kumawat, Utkarsh, A

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.820019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69b189b4-2d75-410a-9e9e-df4e0822a8e8 · outbound

This paper cites Deshpande, B.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Deshpande, B

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.803979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation abf6d15b-cc29-4ffa-b483-01e7dda5efd6 · outbound

This paper cites Chang, Y.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Chang, Y

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.775026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a0ad035e-a4f1-4ecb-9bd8-fec3c2a9c03b · outbound

This paper cites Wullenweber, A.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Wullenweber, A

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.758264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87ba6084-e98c-4a56-b5dd-e388c95dcd45 · outbound

This paper cites Mouawad, T.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Mouawad, T

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.742226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9010227b-8fce-43ba-9c8f-45d5cc9533be · outbound

This paper cites Aytekin, O.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Aytekin, O

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.725860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a43775d2-fcb3-448d-94d5-90b77bd7edd3 · outbound

This paper cites Pavel, I.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Pavel, I

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.711542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c2563830-1d64-48f7-991f-a7578cff35d3 · outbound

This paper cites Rahman, N.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Rahman, N

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.697993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 88e03138-8624-4d77-b9f3-0bdbfedfcb80 · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.678460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3581578e-c322-498a-86a5-2b028d895e47 · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.655939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54111f27-6b80-4068-a9d9-02a899a778dc · outbound

This paper cites Zewail, T.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Zewail, T

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.638013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef82f2f4-f0fd-4834-bc86-2adff14cca68 · outbound

This paper cites Melek, Diagnosis of covid-19 and non-covid-19 patients by classifying only a single cough sound, Neural Comput.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Melek, Diagnosis of covid-19 and non-covid-19 patients by classifying only a single cough sound, Neural Comput

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.622934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 08af3270-1e25-42ca-94c0-07ef782f86d8 · outbound

This paper cites Pahar, M.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Pahar, M

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.607799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c111e593-d0b0-4b41-9e43-de38a46f4117 · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.586992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f57782c7-1256-493d-aeb1-933d3255d622 · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.568637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 464620c0-6cac-486b-8909-872e3c97beba · outbound

This paper cites Zhang, J.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Zhang, J

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.551427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b84e12d-3194-439a-8aa2-1ce17957c82b · outbound

This paper cites Pavel, I.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Pavel, I

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.535213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5f306769-4ecc-4c02-bbe6-dd12856d3cd3 · outbound

This paper cites Harvill, Y.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Harvill, Y

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.517792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4137ed73-4e96-4a1a-a4aa-fa68063fe58f · outbound

This paper cites Tawfik, S.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Tawfik, S

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.502724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a8c45a9-ed72-4f8b-9e7a-d62b07cce0bc · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.485659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 475db7a1-a724-4a36-87dd-bccae8362f3e · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.463973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3bf23f00-1cf5-4e3b-a0e0-d381c2986e68 · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.443376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c4a91cd-85d7-4409-aff3-e5c847db896d · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.425931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a5e4b76-1a07-439b-b8df-188d176786ab · outbound

This paper cites an unresolved cited work.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:39:15.410925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3debfd74-0e4d-4609-ab1f-a0122acfce0d · outbound

This paper cites Sobahi, O.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Sobahi, O

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.394721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4454580b-baa6-4557-b5af-4dfe9c547a8c · outbound

This paper cites Padmalatha, G.

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation Padmalatha, G

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:39:15.370388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers