Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. حسب Alexandria M. Jensen (6494957)

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Distribution of cross correlations in functional connectivity in ABIDE sample. حسب Alexandria M. Jensen (6494957)

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Examples of between- and within-community Beta distributions. حسب Alexandria M. Jensen (6494957)

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Logistic kernel: Power and Type I error for cluster evaluation metric simulations. حسب Alexandria M. Jensen (6494957)

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ABIDE dataset subject demographics. حسب Alexandria M. Jensen (6494957)

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Linear kernel: Power and Type I error for cluster evaluation metric simulations. حسب Alexandria M. Jensen (6494957)

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P-values from analysis of ABIDE dataset for binary outcome of diagnostic group. حسب Alexandria M. Jensen (6494957)

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Examples of four simulated networks and adjacency matrices. حسب Alexandria M. Jensen (6494957)

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P-values from analysis of ABIDE dataset for continuous outcome of VIQ. حسب Alexandria M. Jensen (6494957)

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Acurracy comparison of CCA and FBCCA algorithms. حسب Hossein Hamidi Shishavan (19688384)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. حسب Borjan Milinkovic (21349908)

Overview of the wavess algorithm and R package. حسب Narmada Sambaturu (4989539)

Classification accuracy as a function of the amount of training data. حسب Dovilė Kurmanavičiūtė (21072549)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

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Comparison of different algorithms. حسب Dawei Wang (471687)

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Average classification accuracies for fft and stack methods, LSTM, Bi-LSTM, and CNN algorithms. حسب Jamila Akhter (21144252)

Multi-algorithm comparison figure. حسب Dawei Wang (471687)

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Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. حسب Gabriel Matías Lorenz (21094672)

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network حسب Rajesh Kumar Thangavel (20591164)

"…In this research, Utilizing Phase-aware Composite Deep Neural Network Optimized with Coati Optimized Algorithm for Brain Tumor Identification Based on Magnetic resonance imaging (PACDNN-COA-BTI-MRI) is proposed. …"

Classification accuracy and information transfer rate (ITR) as a function of the measurement set-up and the number of combined trials. حسب Dovilė Kurmanavičiūtė (21072549)