Paper Citation Record · LEDGER

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.22508.

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2607.22508 v1

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Outbound references

Observation f5416b92-03f0-4d52-9dcc-8988a2520526 · outbound

This paper cites The Temple University Hospital EEG data corpus,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes The Temple University Hospital EEG data corpus,

Reference 1

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This paper cites BIOT: cross-data biosignal learning in the wild,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes BIOT: cross-data biosignal learning in the wild,

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This paper cites Large brain model for learning generic representations with tremendous EEG data in BCI,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Large brain model for learning generic representations with tremendous EEG data in BCI,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Development of expert-level classification of seizures and rhythmic and periodic patterns during EEG interpretation,

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This paper cites EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces,

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This paper cites EEG Conformer: convolutional transformer for EEG decoding and visualization,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes EEG Conformer: convolutional transformer for EEG decoding and visualization,

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This paper cites A dataset of scalp EEG recordings of Alzheimer’s disease, frontotemporal dementia and healthy subjects from routine EEG,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes A dataset of scalp EEG recordings of Alzheimer’s disease, frontotemporal dementia and healthy subjects from routine EEG,

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This paper cites Heterozygous mutations of the voltage-gated sodium channel SCN8A are associated with spike-wave discharges and absence epilepsy in mice,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Heterozygous mutations of the voltage-gated sodium channel SCN8A are associated with spike-wave discharges and absence epilepsy in mice,

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This paper cites Interpretable EEG biomarkers for neurological disease models in mice using bag-of-waves classifiers,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Interpretable EEG biomarkers for neurological disease models in mice using bag-of-waves classifiers,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes A statistical interpretation of term specificity and its application in retrieval,

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This paper cites Comparing partitions,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Comparing partitions,

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This paper cites A coefficient of agreement for nominal scales,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes A coefficient of agreement for nominal scales,

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This paper cites Periodic lateralized epileptiform discharges and afterdischarges: common dynamic mechanisms,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Periodic lateralized epileptiform discharges and afterdischarges: common dynamic mechanisms,

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This paper cites EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review,

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This paper cites Spectrally resolved fast transient brain states in electrophysiological data,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Spectrally resolved fast transient brain states in electrophysiological data,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes EEG dynamics in patients with Alzheimer’s disease,

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This paper cites Diagnosis of Alzheimer’s disease from EEG signals: where are we standing?.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Diagnosis of Alzheimer’s disease from EEG signals: where are we standing?

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This paper cites Self-supervised elec- troencephalogram representation learning for automatic sleep staging,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Self-supervised elec- troencephalogram representation learning for automatic sleep staging,

Reference 18

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This paper cites Transformer convolutional neural networks for automated artifact detection in scalp EEG,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Transformer convolutional neural networks for automated artifact detection in scalp EEG,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Motor imagery EEG clas- sification algorithm based on CNN-LSTM feature fusion network,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Transformer-based Spatial-Temporal Feature Learning for EEG Decoding

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This paper cites Tokenizing single- channel EEG with time-frequency motif learning,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Tokenizing single- channel EEG with time-frequency motif learning,

Reference 22

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This paper cites SEBSFormer: a spectral-enhanced bi- stream transformer for robust EEG decoding,.

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes SEBSFormer: a spectral-enhanced bi- stream transformer for robust EEG decoding,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes DICE-Net: a novel convolution-transformer architecture for Alzheimer detection in EEG signals,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes EEG-based classification of Alzheimer’s disease and frontotemporal dementia using functional connectivity,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Learning recurrent waveforms within EEGs,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Shift-invariant wave- form learning on epileptic ECoG,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Coding time-varying signals using sparse, shift-invariant representations,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Multivariate temporal dictionary learning for EEG,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Multivariate convolutional sparse coding for electromagnetic brain signals,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Systematic review on resting-state EEG for Alzheimer’s disease diagnosis and progression assessment,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Random forests,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes The Viterbi algorithm,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Statistical inference for probabilistic func- tions of finite state Markov chains,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Hastie, R

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes Silhouettes: a graphical aid to the interpretation and validation of cluster analysis,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes The use of electroencephalography in neurodegenerative disease and its utility in dementia,

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Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes A revised glos- sary of terms most commonly used by clinical electroencephalographers and updated proposal for the report format of the EEG findings. Revision 2017,

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