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Auflistung nach Schlagwort "support vector machine"

1 - 2 von 2
  • Konferenzbeitrag
    EEG-based biometrics: phase-locking value from gamma band performs well across heterogeneous datasets
    (BIOSIG 2022, 2022) Pradeep Kumar G, Utsav Dutta
    The performance of functional connectivity metrics is investigated for electroencephalogram (EEG)-based biometrics using a support vector machine classifier. Experiments are conducted on a heterogeneous EEG dataset of 184 subjects formed by pooling three distinct datasets recorded with different systems and protocols. The identification accuracy is found to be higher for higher frequency EEG bands, indicating the enhanced uniqueness of the neural signatures in beta and gamma bands. Using all the 56 EEG channels common to the three databases, the best identification accuracy of 97.4% is obtained using phase locking value-based measures extracted from the gamma frequency band. When the number of channels is reduced to 21 from 56, there is a marginal reduction of 2.4% only in the identification accuracy. Additional experiments are conducted to study the effect of the cognitive state of the subject and mismatched train/test conditions on the system performance.
  • Konferenzbeitrag
    Latent representations of transaction network graphs in continuous vector spaces as features for money laundering detection
    (SKILL 2019 - Studierendenkonferenz Informatik, 2019) Wagner, Dominik
    This paper explores the construction of network graphs from a large ban ktransaction dataset and draws from Ąndings in language modeling and unsupervised learning to transform these graphs into multidimensional vector representations. Such latent representations encode relationships and community structures within the transaction network. Three classiĄers with varying complexity are trained on these latent representations to detect suspicious behavior with respect to money laundering. The specific challenges accompanying highly imbalanced classes are discussed as well and two strategies to overcome these challenges are compared.