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

الموضوعات:

Visual depiction of the MSA algorithm. حسب Kayson Fakhar (12890364)

Visual depiction of the PCIA algorithm. حسب Kayson Fakhar (12890364)

Similarity between the hierarchical community structure of structural and functional brain graphs. حسب Arian Ashourvan (6685232)

Local topological scales of hierarchical community organization in structural and functional brain graphs. حسب Arian Ashourvan (6685232)

Spreadsheets containing the graph parameters, brain areas and network values. حسب Jafar Zamani (12902504)

Confusion matrices depict the performance of various ML algorithms. حسب Caroline L. Alves (14271413)

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

Generating the PSC kernel using a double exponential function. حسب Alireza Ghadimi (13839874)

Representative neurons and their corresponding step functions. حسب Reem Khalil (10898163)

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Automatic cropping algorithm. حسب Thomas W Georgi (12427189)

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

الموضوعات:

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

الموضوعات:

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

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. حسب Arian Ashourvan (6685232)

Binary Networks (Threshold = 0.4) حسب Majid Saberi (11796824)

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Data_Sheet_1_Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: a data-based study.docx حسب Hui Dang (4396087)

"…The correlation between the predicted and the actual value of 58 patients was R² = 0.95.</p>Conclusion<p>The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.…"

Data_Sheet_1_Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: A data-based study.docx حسب Hui Dang (4396087)

"…The correlation between the predicted and the actual value of 58 patients was R² = 0.95.</p>Conclusion<p>The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.…"

Average mean values by algorithms on benchmark functions. حسب Muhammad Zubair Rehman (11243478)

"…<p>Average mean values by algorithms on benchmark functions.</p>…"

Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)