Tenev, Aleksandar

Preferred name
Tenev, Aleksandar
Official Name
Tenev, Aleksandar
Main Affiliation
Email
aleksandar.tenev@finki.ukim.mk

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    Item type:Publication,
    Estimation of Functional Brain Connectivity
    (Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, 2012)
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    Madjarov, Gjorgji
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    Gjorgjevikj, Dejan
    This article presents an overview about the basis of estimators of connectivity, such as Directed Transfer Function (DTF) and Partial Directed Coherence (PDC), their differences and their applicability in the estimation and analysis of functional brain connectivity.
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    Item type:Publication,
    Connectomics based multi-modal graph measures in bipolar disorder
    (2014)
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    Gjorgjevikj, Dejan
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    Kocarev, Ljupco
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    Vietac, Eduard
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    Item type:Publication,
    Machine learning approach for classification of ADHD adults
    (Elsevier, 2014-07-01)
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    Markovska-Simoska, Silvana
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    Kocarev, Ljupco
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    Pop-Jordanov, Jordan
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    Müller, Andreas
    Machine learning techniques that combine multiple classifiers are introduced for classifying adult attention deficit hyperactivity disorder (ADHD) subtypes based on power spectra of EEG measurements. The analyzed sample includes 117 adults (67 ADHD, 50 controls). The measurements are taken for four different conditions: two resting conditions (eyes open and eyes closed) and two neuropsychological tasks (visual continuous performance test and emotional continuous performance test). We divide the sample into four data sets, one for each condition. Each data set is used for training of four different support vector machine classifiers, while the output of classifiers is combined using logical expression derived from the Karnaugh map. The results show that this approach improves the discrimination between ADHD and control groups, as well as between ADHD subtypes.
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    Entropy and Complexity in QEEG Reveal Visual Processing Signatures in Autism: A Neurofeedback-Oriented and Clinical Differentiation Study
    (Multidisciplinary Digital Publishing Institute (Switzerland), 2025-09-01)
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    Markovska-Simoska, Silvana
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    Müller, Andreas
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    Entropy, complexity, and spectral features of EEG signals in autism and typical development: a quantitative approach
    (Frontiers Media SA (Switzerland), 2025-02-04)
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    Silvana Markovska-Simoska
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    Andreas Muller
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