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Paper Citation Record · LEDGER

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction

As of 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.04784.

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

pith.paper-citation-record.v1
1908.04784 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:38:47.225692Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation ea487b56-464e-46a4-86ff-bcf221539c6b · outbound

This paper cites The ten-twenty electrode system of the interna- tionalfederation,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction The ten-twenty electrode system of the interna- tionalfederation,

Reference 1

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Observation 23af7e71-7ab4-42b7-9a63-a9050993283e · outbound

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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Unresolved cited work

Reference 4

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This paper cites Adolf beck: a forgotten pioneer in electroencephalography,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Adolf beck: a forgotten pioneer in electroencephalography,

Reference 5

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Observation 539a418c-3d77-4076-9129-0bff5d27b0bc · outbound

This paper cites The advantages of digital over analog recording techniques,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction The advantages of digital over analog recording techniques,

Reference 6

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Observation 849fe565-e25d-4b02-9fc5-e53e7ade770d · outbound

This paper cites A dry electrode for EEG recording,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction A dry electrode for EEG recording,

Reference 8

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Observation afa212cd-c42d-4f33-b8af-211a84b6771c · outbound

This paper cites Anewthree-dimensionalmodelforemotionsand monoamineneurotransmitters,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Anewthree-dimensionalmodelforemotionsand monoamineneurotransmitters,

Reference 9

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Observation 2bc894bf-6035-4abf-bcaf-4b7df8b265a8 · outbound

This paper cites A theory of alpha/theta neurofeedback, creative performanceenhancement,longdistancefunctionalconnectiv- ity and psychological integration,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction A theory of alpha/theta neurofeedback, creative performanceenhancement,longdistancefunctionalconnectiv- ity and psychological integration,

Reference 11

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Observation d935661e-d743-4e56-8a01-c614f0365d6f · outbound

This paper cites Effects of cable sway, electrode surface area, and electrodemassonelectroencepha lographysignalqualityduring motion,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Effects of cable sway, electrode surface area, and electrodemassonelectroencepha lographysignalqualityduring motion,

Reference 12

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Observation 90c08c6c-2ebc-4fe2-9e94-580fada404b5 · outbound

This paper cites Induction and separation of motion artifacts in EEG data using a mobile phantom head device,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Induction and separation of motion artifacts in EEG data using a mobile phantom head device,

Reference 13

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Observation 7eb47cb0-4a42-4e95-a2c0-8c4256502503 · outbound

This paper cites Brain-EE:BrainenjoymentevaluationusingcommercialEEG headband,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Brain-EE:BrainenjoymentevaluationusingcommercialEEG headband,

Reference 14

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Observation b1b31dc4-340b-4b90-8b79-123beff0e343 · outbound

This paper cites ChoosingMUSE:Validationofalow-cost,portable EEGsystemforERPresearch,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction ChoosingMUSE:Validationofalow-cost,portable EEGsystemforERPresearch,

Reference 16

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Observation 18c184de-a094-46ad-90ed-f4ebbbd2cc08 · outbound

This paper cites Applying probabilisticMixtureModelstosemanticplaceclassificationin mobile robotics,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Applying probabilisticMixtureModelstosemanticplaceclassificationin mobile robotics,

Reference 18

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Observation 43332ea7-4e7b-4f08-99c9-ea414655a6fd · outbound

This paper cites Dynamic Bayesian network for semantic place classification in mobile robotics,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Dynamic Bayesian network for semantic place classification in mobile robotics,

Reference 19

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Observation f5475966-4904-463b-9483-b60b2628bd00 · outbound

This paper cites Classificationof human emotions from eeg signals using statistical features and neuralnetwork,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Classificationof human emotions from eeg signals using statistical features and neuralnetwork,

Reference 20

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Observation ed5618d7-122e-4c0e-8251-6985b2018a9e · outbound

This paper cites EEG-based emotion classification using deep belief networks,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction EEG-based emotion classification using deep belief networks,

Reference 22

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Observation 49be9502-79ae-4fdd-871f-212ccac6f158 · outbound

This paper cites Emergency EEG and continuous EEG monitor- ing in acute ischemic stroke,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Emergency EEG and continuous EEG monitor- ing in acute ischemic stroke,

Reference 23

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Observation 94909e68-ecf5-4255-9757-bc42b42480b7 · outbound

This paper cites Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computerinterfacewithroboticfeedback,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computerinterfacewithroboticfeedback,

Reference 24

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Observation 2ba828b3-0716-4ca4-abd6-96bbaa4d0f51 · outbound

This paper cites Epileptic seizuredetectioninEEGsusingtime-frequencyanalysis,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Epileptic seizuredetectioninEEGsusingtime-frequencyanalysis,

Reference 25

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Observation 91e7c70a-7a7a-46e1-b0f9-c4477113550a · outbound

This paper cites Auto- mated sleep scoring in rats and mice using the naive Bayes classifier,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Auto- mated sleep scoring in rats and mice using the naive Bayes classifier,

Reference 27

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Observation 459c7733-12fa-4c90-bb71-d5d5fe4e7126 · outbound

This paper cites Automated sleep stage identification system based ontime-frequencyanalysisofasingleEEGchannelandrandom forestclassifier,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Automated sleep stage identification system based ontime-frequencyanalysisofasingleEEGchannelandrandom forestclassifier,

Reference 28

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Observation 9f95e745-a01e-442d-b7fe-f4c4bcfac4a5 · outbound

This paper cites Immune clonal algorithm based feature selection for epileptic EEG signal classification,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Immune clonal algorithm based feature selection for epileptic EEG signal classification,

Reference 29

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Observation a1ab9f04-53b3-491c-b595-b76100041d5b · outbound

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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Affectivefacialexpressionsrecognitionforhuman-robotinter- action,

Reference 30

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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction High resolution sentiment analysis by ensemble classification,

Reference 31

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Observation 8ab443f7-7d80-4212-bf0a-aaf95baf1c3e · outbound

This paper cites Social activity recognition based on probabilistic merging of skeleton 14 Complexity features with proximity priors from RGB-D data,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Social activity recognition based on probabilistic merging of skeleton 14 Complexity features with proximity priors from RGB-D data,

Reference 32

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Observation 0e30e80d-3fd2-4c56-9c05-918b609a69f7 · outbound

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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Human activitiestransferlearningforassistiverobotics,

Reference 33

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Observation 6d7f9ae9-0338-4284-b7c4-30d8e6b53b5e · outbound

This paper cites Anomaly detec- tion in activities of daily living using one-class support vector machine,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Anomaly detec- tion in activities of daily living using one-class support vector machine,

Reference 34

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Observation 50692a15-4d6f-477f-b86e-54e9abfbe70d · outbound

This paper cites A multi-level refinement approach towards the classification of quotidian activities using accelerometer data,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction A multi-level refinement approach towards the classification of quotidian activities using accelerometer data,

Reference 35

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Observation 598b85d4-d9e7-4d87-b2f6-4158ebf5bbf5 · outbound

This paper cites Learning from inter- action: An intelligent networked-based human-bot and bot- bot chatbot system,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Learning from inter- action: An intelligent networked-based human-bot and bot- bot chatbot system,

Reference 36

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

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Observation b782de9f-f9f2-4283-b1c7-b400caffe2f5 · outbound

This paper cites Evolutionary algorithms: a critical review and its future prospects,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Evolutionary algorithms: a critical review and its future prospects,

Reference 37

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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Unresolved cited work

Reference 38

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

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Observation 0f3feeda-80a9-4a37-9cbe-0d381d855d80 · outbound

This paper cites Evolutionary optimisation of fully connected artificial neural network topology,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Evolutionary optimisation of fully connected artificial neural network topology,

Reference 39

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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.

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Observation d9e7bb60-2853-4fb5-8901-f63b7876677d · outbound

This paper cites Nofreelunchtheoremsfor optimization,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Nofreelunchtheoremsfor optimization,

Reference 40

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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.

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Observation ab7dcbb5-a5ed-4380-b57a-7f0472835aab · outbound

This paper cites Postscript about NP-hard problems,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Postscript about NP-hard problems,

Reference 41

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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.

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Observation 01ad8dbe-f88a-4af7-b5bf-68fcc9d2df3a · outbound

This paper cites Deep learning,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Deep learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:48.224721Z

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.

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Observation f3351aea-3a5f-4f30-8d22-465efe668b3d · outbound

This paper cites Oninformationandsufficiency,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Oninformationandsufficiency,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:48.084957Z

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.

source=pdf_text observed=2026-08-14T13:38:46.977849Z digest=sha256:d14920841cd21cf8775fdf7537e232c9139c8d276c1b7bc65993b8db3cfc4e3e

Observation 1622b22c-d71b-47a8-9dd8-828fbdd1c597 · outbound

This paper cites DENSER: deep evolutionary network structured representa- tion,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction DENSER: deep evolutionary network structured representa- tion,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:48.003185Z

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.

source=pdf_text observed=2026-08-14T13:38:46.986745Z digest=sha256:1d4469e1e65e68c76c47a5993ae6080fd24e092fba9fbdbf3da2cfe2c6720fd3

Observation b00c4a92-d9a1-4840-8715-ff0efecff5b4 · outbound

This paper cites EvoDeep: a new evolutionary approach for automatic deep neural networks parametrisation,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction EvoDeep: a new evolutionary approach for automatic deep neural networks parametrisation,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:47.909434Z

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.

source=pdf_text observed=2026-08-14T13:38:46.997848Z digest=sha256:98d735ea2cd21a3845b9614bf73b784f773567a4d0fff4a002473bf3f2f9413d

Observation 32c7aa89-d5d0-41c0-b75d-08cf3b56c2a7 · outbound

This paper cites Discriminativeextremelearningmachine with supervised sparsity preserving for image classification,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Discriminativeextremelearningmachine with supervised sparsity preserving for image classification,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:47.881255Z

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.

source=pdf_text observed=2026-08-14T13:38:47.016479Z digest=sha256:d9d016300028e37c363895160ba81ab14f54ef6a2c5e2348de5bec26773cc906

Observation be0a82a9-6397-4600-89e4-68eed08d4d24 · outbound

This paper cites Hybrid speech recognition with deep bidirectional LSTM,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Hybrid speech recognition with deep bidirectional LSTM,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:47.736575Z

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.

source=pdf_text observed=2026-08-14T13:38:47.067779Z digest=sha256:fea4d350832b126a2d0108ca7882288901e1ae80c86b15e704f31a32ae7b5355

Observation 2ef994b1-e4f1-4a36-92bf-021c230af92e · outbound

This paper cites A decision-theoretic generaliza- tionofon-linelearningandanapplicationtoboosting,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction A decision-theoretic generaliza- tionofon-linelearningandanapplicationtoboosting,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:47.697728Z

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.

source=pdf_text observed=2026-08-14T13:38:47.127663Z digest=sha256:41039b011754c02919bc38169fa0d9c2b4dcc3ede18e103cb41cec88303cffb6

Observation 8246cf3e-d15e-4564-8e18-98bba056063e · outbound

This paper cites Adaboost and the super bowl of classifiers a tutorial introductiontoadaptiveboosting,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Adaboost and the super bowl of classifiers a tutorial introductiontoadaptiveboosting,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:47.611669Z

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.

source=pdf_text observed=2026-08-14T13:38:47.138992Z digest=sha256:ec36598d0ccff6b8432ecd84c51c77542fefcf6cc5f604eb4307f22d0f18b50c

Observation a90a2e66-a84c-4da0-8370-f93b68c51f6a · outbound

This paper cites The matrix- logarithmic covariance model,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction The matrix- logarithmic covariance model,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:47.562736Z

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.

source=pdf_text observed=2026-08-14T13:38:47.152412Z digest=sha256:b8bfbf9d02c1d0ed2fb208b8982fe3e41ee4b1d6b87b5f4a35b423eea0fb0b46

Observation 193a2d4a-ab18-4d5b-b32f-d581777ba54f · outbound

This paper cites an unresolved cited work.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:38:47.523041Z

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.

source=pdf_text observed=2026-08-14T13:38:47.166429Z digest=sha256:3595c996fa61794866540c3187afe8391bdee5c84069140008dcb4e44278abf5

Observation 1025026e-0862-4844-bec8-9cbf17418707 · outbound

This paper cites an unresolved cited work.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:38:47.439272Z

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.

source=pdf_text observed=2026-08-14T13:38:47.181084Z digest=sha256:261d18edb426bacc4a08b42861da7e0cc37352c0b9c53d49c2471ec5d30875e6

Observation 22979c71-0688-48c9-b328-e82942e4bf7d · outbound

This paper cites A study on cnn transfer learning for image classification,.

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction A study on cnn transfer learning for image classification,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:38:47.377025Z

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.

source=pdf_text observed=2026-08-14T13:38:47.225692Z digest=sha256:db536c99bc3b62cbbfeaf996414e95286daa5cd2de56725b9b21caedd76df418

Pith citing papers

No inbound Pith citation observations are available.