eegFloss: A Python package for refining sleep EEG recordings using machine learning models | Paper Citation Record

Observation 15b42104-4db1-4ef7-a638-8b234d19096f · outbound

This paper cites Berger, Über das Elektrenkephalogramm des Menschen, Arch.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Berger, Über das Elektrenkephalogramm des Menschen, Arch

Reference 1

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Observation 12e96a50-b69e-49fd-902e-894f5a413d63 · outbound

This paper cites Sutter, P.W.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Sutter, P.W

Reference 2

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Observation b6a02bda-eaf8-4fec-ba8e-0c63c9c91633 · outbound

This paper cites Niedermeyer, F.H.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Niedermeyer, F.H

Reference 3

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Observation 4ad4a97e-9148-4353-92a9-91712a83c3eb · outbound

This paper cites Luck, An introduction to the event-related potential technique, 2nd ed, MIT Press, Cambridge, Mass., 2014.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Luck, An introduction to the event-related potential technique, 2nd ed, MIT Press, Cambridge, Mass., 2014

Reference 4

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Observation 1c5fe34f-e966-4d08-8954-4eac01540cb9 · outbound

This paper cites Dickter, P.D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Dickter, P.D

Reference 5

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Observation b1277ff4-83ad-49e1-9bf0-2c341a217972 · outbound

This paper cites McFarland, J.R.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models McFarland, J.R

Reference 6

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Observation 2b9bbfa6-9ca1-489b-b594-84e1130aa644 · outbound

This paper cites Müller, M.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Müller, M

Reference 7

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This paper cites Aljalal, S.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Aljalal, S

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.162775Z

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Observation c31e4115-8dbe-4c5b-aa32-6fa53be1de5c · outbound

This paper cites Soufineyestani, D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Soufineyestani, D

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:43.788897Z

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Observation 8afe104f-b71c-4b8e-af3a-53c9aece77bc · outbound

This paper cites Thompson, T.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Thompson, T

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.147956Z

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Observation fe418df3-27fb-4278-b3fb-af6bb6e2b203 · outbound

This paper cites Belkofer, A.V.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Belkofer, A.V

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:09:56.285801Z

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Observation 8a6d40c4-c474-4cce-ab96-9fa768449e81 · outbound

This paper cites Zheng, L.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Zheng, L

Reference 12

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.138402Z

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Observation ac9c8b68-bd1e-484c-b8f2-5b9f78c2ae43 · outbound

This paper cites Malmivuo, Comparison of the Properties of EEG and MEG in Detecting the Electric Activity of the Brain, Brain Topogr.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Malmivuo, Comparison of the Properties of EEG and MEG in Detecting the Electric Activity of the Brain, Brain Topogr

Reference 13

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.129496Z

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Observation daa39535-13af-4e07-bd14-d61a132ef282 · outbound

This paper cites Crosson, A.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Crosson, A

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.119460Z

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Observation 7b21afa9-2d00-4704-9678-e35943a2d1e4 · outbound

This paper cites Logothetis, What we can do and what we cannot do with fMRI, Nature 453 (2008) 869–878.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Logothetis, What we can do and what we cannot do with fMRI, Nature 453 (2008) 869–878

Reference 15

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This paper cites Marino, D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Marino, D

Reference 16

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This paper cites On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models On Error Exponents of Almost-Fixed-Length Channel Codes and Hypothesis Tests

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:09:56.217179Z

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Observation db72b881-2715-40e9-8a99-970ff6d90c6d · outbound

This paper cites Prakash, D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Prakash, D

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.095051Z

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Observation 2fd713ca-f97e-47f2-9074-5cd76da37fdc · outbound

This paper cites Jiang, G.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Jiang, G

Reference 19

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Observation eeea0fc2-00b9-43e7-a651-62c1329f9769 · outbound

This paper cites Dizeux, M.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Dizeux, M

Reference 20

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.080416Z

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This paper cites an unresolved cited work.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 21

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Observation 7386f266-9156-43bc-8426-328ac9936d7f · outbound

This paper cites Srinivasan, W.R.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Srinivasan, W.R

Reference 22

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Observation 4fb71f47-df3a-4c16-8573-ed0c6e0ffd31 · outbound

This paper cites Struck, M.B.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Struck, M.B

Reference 23

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.056991Z

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Observation 82e9dc67-36b3-4121-84d2-d3ef24b0838c · outbound

This paper cites Abreu, A.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Abreu, A

Reference 24

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Observation c619fb7e-ce26-4a92-a9c1-0eaca58cf226 · outbound

This paper cites Iber, The AASM manual for the scoring of sleep and associated events: Rules, Terminol.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Iber, The AASM manual for the scoring of sleep and associated events: Rules, Terminol

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:44.823823Z

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Observation 7d803373-2119-439c-a4c3-b32f9dcb06a9 · outbound

This paper cites Berry, The AASM manual for the scoring of sleep and associated events, Rules Terminol.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Berry, The AASM manual for the scoring of sleep and associated events, Rules Terminol

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:44.854343Z

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Observation decd97b6-e65d-456f-b9b0-37a49c79018f · outbound

This paper cites Lendner, R.F.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Lendner, R.F

Reference 27

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.047577Z

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Observation 43724259-1230-458b-af59-b76f9c67d6bf · outbound

This paper cites Sleep Med.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Sleep Med

Reference 28

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:09:56.081440Z

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Observation 8237852b-2b2f-4c6a-b5bc-613bb82a3d44 · outbound

This paper cites Lee, J.Y.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Lee, J.Y

Reference 29

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Observation 98602be1-0725-470a-a9be-2ebf519ca43c · outbound

This paper cites Sikder, L.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Sikder, L

Reference 30

Resolution: verified exact; doi, observed 2026-08-06T19:09:54.032743Z

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Observation 1f9b9d4e-fb50-4ef2-a61e-e6c0484fa564 · outbound

This paper cites Bzdok, J.P.A.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Bzdok, J.P.A

Reference 31

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Observation ada64b59-0db7-4e5d-864b-3b31c9e35245 · outbound

This paper cites Sporns, The human connectome: a complex network, Ann.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Sporns, The human connectome: a complex network, Ann

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This paper cites Wolpaw, N.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Wolpaw, N

Reference 33

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This paper cites Shalaby, A.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Shalaby, A

Reference 34

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Observation ed51f02c-d61c-4069-a2df-5e7bbf10e698 · outbound

This paper cites Thieme, D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Thieme, D

Reference 35

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eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 36

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This paper cites Perslev, S.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Perslev, S

Reference 37

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Observation 2707d96c-8776-4de5-b909-d1c21ec7e7c0 · outbound

This paper cites Vallat, M.P.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Vallat, M.P

Reference 38

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This paper cites Kevat, R.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Kevat, R

Reference 39

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This paper cites Benedetti, E.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Benedetti, E

Reference 40

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eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 41

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Observation 07f91e9c-6b5b-4c89-a8ba-38d6cb33a446 · outbound

This paper cites De Gans, P.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models De Gans, P

Reference 42

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Observation 3185b5d1-93ed-4f7f-8753-8cc89c8eb3f0 · outbound

This paper cites Jafarzadeh Esfahani, N.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Jafarzadeh Esfahani, N

Reference 43

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Observation 4c53f314-7fa2-4542-b6f7-1033d21edd3b · outbound

This paper cites Biosignals (n.d.).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Biosignals (n.d.)

Reference 44

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This paper cites https://choosemuse.com/products/muse-s-gen-2 (accessed November 28, 2024).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://choosemuse.com/products/muse-s-gen-2 (accessed November 28, 2024)

Reference 45

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This paper cites http://hypnodynecorp.com/ (accessed November 28, 2024).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models http://hypnodynecorp.com/ (accessed November 28, 2024)

Reference 46

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This paper cites h ttps://www.sleeploop.ch/ (accessed January 25, 2025).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models h ttps://www.sleeploop.ch/ (accessed January 25, 2025)

Reference 47

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This paper cites https://somneesleep.com/products/smart -sleep-headband (accessed November 28, 2024).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://somneesleep.com/products/smart -sleep-headband (accessed November 28, 2024)

Reference 48

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This paper cites https://www.advancedbrainmonitoring.com/products/sleep -profiler (accessed December 7, 2024).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://www.advancedbrainmonitoring.com/products/sleep -profiler (accessed December 7, 2024)

Reference 49

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This paper cites https://www.bitbrain.com/neurotechnology -products/textile-eeg/ikon (accessed December 7, 2024).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://www.bitbrain.com/neurotechnology -products/textile-eeg/ikon (accessed December 7, 2024)

Reference 50

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This paper cites https://shop.openbci.com/products/openbci-eeg-headband-kit (accessed December 7, 2024).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://shop.openbci.com/products/openbci-eeg-headband-kit (accessed December 7, 2024)

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:46.438465Z

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This paper cites Cannard, H.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Cannard, H

Reference 52

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Observation e10d1e7e-3322-4cab-9978-9cfdaf062a79 · outbound

This paper cites Esfahani, F.D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Esfahani, F.D

Reference 53

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Observation eea6fc5c-ca52-4ec6-b7d6-a311b511fb5c · outbound

This paper cites Ferster, C.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Ferster, C

Reference 54

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:09:55.630600Z

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This paper cites Ferster, G.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Ferster, G

Reference 55

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:09:55.525530Z

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Observation b853514c-b866-494f-a674-b1de588489b3 · outbound

This paper cites Esparza-Iaizzo, M.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Esparza-Iaizzo, M

Reference 56

Resolution: verified exact; doi, observed 2026-08-06T19:09:53.944026Z

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Observation a7c113a5-8318-4f21-9997-93450d3db48c · outbound

This paper cites Hinrichs, M.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Hinrichs, M

Reference 57

Resolution: verified exact; doi, observed 2026-08-06T19:09:53.765063Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 74177b93-3a8c-4716-b433-27e9167accb2 · outbound

This paper cites Vitazkova, H.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Vitazkova, H

Reference 58

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:09:55.431216Z

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Observation 563e011d-a468-48c3-8269-d19b73bac18d · outbound

This paper cites an unresolved cited work.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 59

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Observation 12dba773-4d80-45a4-813f-0ae4e0cb9d75 · outbound

This paper cites Malafeev, D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Malafeev, D

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:47.010411Z

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Unavailable: canonical work link unavailable.

Observation 4657892e-1500-4606-b094-c40d9d73ffca · outbound

This paper cites Korkalainen, J.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Korkalainen, J

Reference 61

Resolution: verified exact; doi, observed 2026-08-06T19:09:53.433173Z

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Observation d18b7140-59d6-41a6-9a98-cf5d07206bb1 · outbound

This paper cites an unresolved cited work.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 62

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Observation de723100-eee5-4688-98de-9b49a1dcfdee · outbound

This paper cites Rayan, A.B.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Rayan, A.B

Reference 63

Resolution: verified exact; doi, observed 2026-08-06T19:09:53.223499Z

Source-reported events for the cited work

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Observation 78db9581-027b-47b3-8586-178d8d491c76 · outbound

This paper cites https://lightgbm.readthedocs.io/en/stable/ (accessed February 19, 2025).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://lightgbm.readthedocs.io/en/stable/ (accessed February 19, 2025)

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:47.229920Z

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Unavailable: canonical work link unavailable.

Observation 1dfb2af7-9988-4436-b6b5-2387b03e11b1 · outbound

This paper cites Mannan, M.A.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Mannan, M.A

Reference 65

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Source-reported events for the cited work

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Observation 3bd224ef-fa1a-4e11-b5d1-e6a1b1d4a9d2 · outbound

This paper cites ’T Wallant, V.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models ’T Wallant, V

Reference 66

Resolution: verified exact; doi, observed 2026-08-06T19:09:53.073456Z

Source-reported events for the cited work

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Observation 173626c2-73f8-40a0-bff4-cc1013683a21 · outbound

This paper cites Gharbali, J.M.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Gharbali, J.M

Reference 67

Resolution: verified exact; doi, observed 2026-08-06T19:09:52.981086Z

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Observation cac39799-eafe-44d7-9ef1-dbce2426590e · outbound

This paper cites Malafeev, X.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Malafeev, X

Reference 68

Resolution: verified exact; doi, observed 2026-08-06T19:09:52.815534Z

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Observation c150c1e7-0a97-442c-bb42-f25aa2e4ec82 · outbound

This paper cites Leach, G.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Leach, G

Reference 69

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:09:55.024907Z

Source-reported events for the cited work

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Observation 14d89dec-5660-4385-9751-b9b32d289b13 · outbound

This paper cites Cox, F.D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Cox, F.D

Reference 70

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:09:54.937151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 820d30cb-d4dd-472b-bfb8-10e5bb5c8dba · outbound

This paper cites Anandanadarajah, A.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Anandanadarajah, A

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:47.778320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7414170f-9948-4785-9c42-0dbeddcbab33 · outbound

This paper cites Delorme, T.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Delorme, T

Reference 72

Resolution: verified exact; doi, observed 2026-08-06T19:09:52.550451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1274af0-1836-45ed-8849-5996e0d45532 · outbound

This paper cites an unresolved cited work.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 73

Resolution: verified exact; doi, observed 2026-08-06T19:09:52.369150Z

Source-reported events for the cited work

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Observation 57f3b0e3-cd48-4b32-83ce-fff9fdde0845 · outbound

This paper cites an unresolved cited work.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 74

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:09:54.870518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dfdf0a48-4b1c-4496-8315-e4862ac7f047 · outbound

This paper cites Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:09:52.226981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0cb57ac8-addb-41b9-8fd4-8de64453bf5b · outbound

This paper cites Saifutdinova, D.U.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Saifutdinova, D.U

Reference 76

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:09:54.808673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd5f0d0e-0a79-4328-9a93-c870b9309c4d · outbound

This paper cites https://lightgbm.readthedocs.io/en/stable/ (accessed February 9, 2025).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://lightgbm.readthedocs.io/en/stable/ (accessed February 9, 2025)

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:48.315838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 801e1abc-b65f-4198-ba69-9879c3501ef9 · outbound

This paper cites https://hypnodynecorp.com/lineup.png (accessed November 28, 2024).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://hypnodynecorp.com/lineup.png (accessed November 28, 2024)

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:48.366377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8e31fb-51a6-493e-a612-6061c95f66e7 · outbound

This paper cites Lampert, S.E.M.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Lampert, S.E.M

Reference 79

Resolution: verified exact; doi, observed 2026-08-06T19:09:52.093437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 29990f6b-6624-441d-9107-f8c8dad344d0 · outbound

This paper cites Grigg-Damberger, Polysomnographic Artifacts, in: W.O.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Grigg-Damberger, Polysomnographic Artifacts, in: W.O

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Resolution: verified exact; raw_fallback, observed 2026-08-06T19:09:54.717581Z

Source-reported events for the cited work

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Observation 49dac07c-5ee3-4861-ac67-01f6d1c3c900 · outbound

This paper cites Attarian, N.S.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Attarian, N.S

Reference 81

Resolution: verified exact; doi, observed 2026-08-06T19:09:51.937088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 78f5055f-f28c-4dd8-a38b-0cf7b03a2583 · outbound

This paper cites Amin, F.A.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Amin, F.A

Reference 82

Resolution: verified exact; doi, observed 2026-08-06T19:09:51.775009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f24cbba3-d3e8-4001-96a2-8c3241f9928c · outbound

This paper cites Varotto, G.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Varotto, G

Reference 83

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:09:54.627635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6268ecbd-b7de-4639-81fb-72fb6be09005 · outbound

This paper cites Barandas, D.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Barandas, D

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:48.887733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee3142a6-d0cb-4123-ab0f-ae4059525233 · outbound

This paper cites https://tsfel.readthedocs.io/en/latest/index.html (accessed February 17, 2025).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://tsfel.readthedocs.io/en/latest/index.html (accessed February 17, 2025)

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:48.963372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4e270d-e477-4f2a-8f57-8273ffbee0cb · outbound

This paper cites https://tsfel.readthedocs.io/en/latest/descriptions/feature_list.html (accessed February 18, 2025).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://tsfel.readthedocs.io/en/latest/descriptions/feature_list.html (accessed February 18, 2025)

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:49.078046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4922efc-7439-4d1a-af52-2abd2e032078 · outbound

This paper cites an unresolved cited work.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:49.187067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7700b4-e74b-41a3-afbb-ad2372cee68a · outbound

This paper cites Benchmarking state-of-the-art gradient boosting algorithms for classification.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Benchmarking state-of-the-art gradient boosting algorithms for classification

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:09:51.640477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19ca6d97-808f-4e61-8261-71bc2268e201 · outbound

This paper cites Japkowicz, Z.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Japkowicz, Z

Reference 89

Resolution: verified exact; doi, observed 2026-08-06T19:09:51.505427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f51e936-0049-481f-a237-853ef17da640 · outbound

This paper cites an unresolved cited work.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:49.427626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee69b78b-7e86-49c4-a3b1-b2a56ac4baf6 · outbound

This paper cites Ariza -Colpas, E.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Ariza -Colpas, E

Reference 91

Resolution: verified exact; doi, observed 2026-08-06T19:09:51.354174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61e54cdd-72d3-4dc3-a335-a64141fa2341 · outbound

This paper cites Welch, The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms, IEEE Trans.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Welch, The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms, IEEE Trans

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:49.565230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c29060e-f5c0-4f86-a95b-e6432da42e67 · outbound

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eegFloss: A Python package for refining sleep EEG recordings using machine learning models Unresolved cited work

Reference 93

Resolution: verified exact; doi, observed 2026-08-06T19:09:51.235000Z

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Observation 8b4730c1-50f0-4ec9-9f78-c7df0ee813cb · outbound

This paper cites Sikder, A.A.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Sikder, A.A

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:49.693672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0391c3c2-0d49-427d-97e6-4531e33192c2 · outbound

This paper cites Sikder, M.A.R.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Sikder, M.A.R

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:49.755194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a09f08ef-fb3b-4918-94f7-3fc9b8b44c2d · outbound

This paper cites Lyons, Understanding digital signal processing, 3rd ed, Prentice Hall, Upper Saddle River, NJ, 2011.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Lyons, Understanding digital signal processing, 3rd ed, Prentice Hall, Upper Saddle River, NJ, 2011

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:49.829766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c6721f-b4ae-4d6c-a7e1-16facc51d498 · outbound

This paper cites Lanquart, Contribution to the Definition of the Power Bands Limits of Sleep EEG by Linear Prediction, Comput.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Lanquart, Contribution to the Definition of the Power Bands Limits of Sleep EEG by Linear Prediction, Comput

Reference 97

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:09:54.330823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5b703d08-3110-455c-bcfa-faddbbd27db0 · outbound

This paper cites Sateia, D.J.

eegFloss: A Python package for refining sleep EEG recordings using machine learning models Sateia, D.J

Reference 98

Resolution: verified exact; doi, observed 2026-08-06T19:09:51.125822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d075c9d3-1cfa-4bb6-9d3d-742cd9ff47c5 · outbound

This paper cites https://github.com/raphaelvallat/yasa/blob/master/src/yasa/sleepstats.py (accessed March 2, 2025).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://github.com/raphaelvallat/yasa/blob/master/src/yasa/sleepstats.py (accessed March 2, 2025)

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:50.062607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f95b425-ba6d-4d2d-ae2f-038d84ed7186 · outbound

This paper cites https://natus.com/neuro/brain-quick-eeg-system/ (accessed February 3, 2025).

eegFloss: A Python package for refining sleep EEG recordings using machine learning models https://natus.com/neuro/brain-quick-eeg-system/ (accessed February 3, 2025)

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:50.157582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers