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Copy file name to clipboardexpand all lines: archives/2025/02.md
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|2502.17462|[the case for cleaner biosignals: high-fidelity neural compressor enables transfer from cleaner ieeg to noisier eeg](https://arxiv.org/abs/2502.17462)|[eeg-ieeg-brain-compressor](https://github.com/ibm/eeg-ieeg-brain-compressor)|
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|2502.17468|[cssstn: a class-sensitive subject-to-subject semantic style transfer network for eeg classification in rsvp tasks](https://arxiv.org/abs/2502.17468)|[cssstn](https://github.com/ziyuey/cssstn)|
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|2502.17481|[toward foundational model for sleep analysis using a multimodal hybrid self-supervised learning framework](https://arxiv.org/abs/2502.17481)|[SynthSleepNet](https://github.com/dlcjfgmlnasa/SynthSleepNet)|
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|2502.17483|[consense: continually sensing human activity with wifi via growing and picking](https://arxiv.org/abs/2502.17483)|[consense](https://github.com/kikihub/consense)|
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|2502.17484|[urinary tract infection detection in digital remote monitoring: strategies for managing participant-specific prediction complexity](https://arxiv.org/abs/2502.17484)|[Multi-Source-Analysing](https://github.com/Kexin-Fan/Multi-Source-Analysing)|
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|2502.18249|[iterative counterfactual data augmentation](https://arxiv.org/abs/2502.18249)|[ICDA](https://github.com/mlplyler/ICDA)|
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|2502.18430|[random number generation from pulsars](https://arxiv.org/abs/2502.18430)|[pulsar_rng](https://github.com/jadidbourbaki/pulsar_rng)|
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|2502.15607|[benchmarking machine learning for bowel sound pattern classification from tabular features to pretrained models](https://arxiv.org/abs/2502.15607)|[bowel-sound-classification](https://github.com/AI4HealthUOL/bowel-sound-classification)|
|2502.17168|[spikacom: a neuromorphic computing framework for green communications](https://arxiv.org/abs/2502.17168)|[spikacom](https://github.com/yl5922/spikacom)|
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|2502.15540|[generalization guarantees for representation learning via data-dependent gaussian mixture priors](https://arxiv.org/abs/2502.15540)|[Gaussian_Mixture_Priors_for_Representation_Learning](https://github.com/PiotrKrasnowski/Gaussian_Mixture_Priors_for_Representation_Learning)|
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|2502.13972|[incepformernet: a multi-scale multi-head attention network for ssvep classification](https://arxiv.org/abs/2502.13972)|[ssvep-dan](https://github.com/cecnl/ssvep-dan)|
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|2502.12990|[artificial intelligence-derived vascular age from photoplethysmography: a novel digital biomarker for cardiovascular health](https://arxiv.org/abs/2502.12990)|[Dist-Loss](https://github.com/Ngk03/Dist-Loss)|
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