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Found 4 papers, 0 papers with code
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
Leveraging this benchmark dataset, we developed the Du-IN model that can extract contextual embeddings from specific brain regions through discrete codebook-guided mask modeling.
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems
Then, Biased Gradient Adaptation is presented to adapt the adversarial examples to traverse the decision boundaries of both the attacker and victim by adding perturbations favoring dodging attacks on the vacated regions, preserving the prioritized features of the original perturbations while boosting dodging performance.
SI-SD: Sleep Interpreter through awake-guided cross-subject Semantic Decoding
Understanding semantic content from brain activity during sleep represents a major goal in neuroscience.
Network-based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis
Based on our observation that the abundances of the neighboring isoforms by domain-domain interactions in the network are positively correlated, Net-RSTQ models the expression of the neighboring transcripts as Dirichlet priors on the likelihood of the observed read alignments against the transcripts in one gene.
