Swarm intelligence algorithms for width and length on influence games by Francisco Muñoz (9455441)

“…<br><br><div>usage: Main.py [-h] [-a] [-r] [-d D] [-t T] [-i I] [-q Q] [--shape SHAPE] [--sym] [--folder FOLDER] [--seed SEED] [--sum SUM] [--mh MH] [--tagsfile TAGSFILE] [--notags] [--prune] [--excludenodes EXCLUDENODES]<br><br>Calculates the best Influence Spread set on a Weighted Symmetric Graph using PSO<br></div><div><br></div><div><div>positional arguments:</div><div> file</div><div><br></div><div>optional arguments:</div><div> -h, --help: show this help message and exit</div><div> -a: threat file input contents as an Adjacency Matrix</div><div> -r: reverse order of nodes, from (a,b,w) a -> b will be b -> a</div><div> -d D: line separator to use while parsing</div><div> -t T: number of times to execute</div><div> -i I: number of metaheuristic iterations per execution</div><div> -q Q: fixed quota, use 0 = floor(n/2)+1</div><div> --shape SHAPE: shape functions for binarization - list of implemented shape functions: s2,s2_neg,v2,v4</div><div> --sym: consider graph as symmetric instead of directed</div><div> --folder FOLDER: output folder</div><div> --seed SEED: use custom seed for metaheuristic calcs</div><div> --sum SUM: adds a value to all node labels</div><div> --mh MH: metaheuristic to use - list of implemented metaheuristics: {1: 'Swarm', 2: 'Swarm2', 3: 'Swarm_W', 4:</div><div> 'Swarm_L'}</div><div> --tagsfile TAGSFILE: use first row as node tags instead of using plurality criteria</div><div> --notags: do not use first row as node tags - tags will be calculated</div><div> --prune: nodes with outdegree = 0 and indegree > 0, and with outdegree = 1 and neighbor's outdegree > 0 will be excluded</div><div> --excludenodes EXCLUDENODES: nodes to skip, comma separated</div></div>…”

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

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

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Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions spread in one day. by Susana Conde (5495675)

Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions spread in one day. by Susana Conde (5495675)

Model parameter estimates and standard errors for pooled-ERGM analysis of brain functional connectivity networks. by Fan Yin (170408)

MAP estimates and posterior standard deviations, conjugate Bayesian analysis of brain functional connectivity networks. by Fan Yin (170408)

Convergent curves of EOSA and related optimization algorithms benchmark functions over 1, 50, 100, 200, 300, 400 and 500 epochs. by Tehnan I. A. Mohamed (16846175)

Algorithm of the main experiment targeted to measure the perceptual point spread function (pPSF) treating patients visual system including its optics, physiology and psychology as an integrated imaging system, and patient’s perceptions as its output signal. by Krzysztof Petelczyc (3954203)

BNA Neuromarker scores as a function of LEDD. by Sharon Hassin-Baer (420354)

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Classification accuracy as a function of random walk length. by Inon Zuckerman (8399517)

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. by Arian Ashourvan (6685232)

Deblurring results with different methods on VOC2012 dataset in noisy circumstances. by Wei Zhou (24328)

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Spectrum image processes. by Wei Zhou (24328)

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Friedman and Nemenyi tests of PSNR and SSIM on VOC2012 noise circumstances. by Wei Zhou (24328)

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Samples of deblurring results with different methods on VOC2012 dataset. by Wei Zhou (24328)

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Deblurring results with different methods on real natural blurred images. by Wei Zhou (24328)

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Friedman and Nemenyi tests of PSNR, SSIM and time on VOC2012 noise-free circumstances. by Wei Zhou (24328)

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PSNR (dB) and SSIM of the deblurred images in noisy circumstances on VOC2012 database. by Wei Zhou (24328)

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Friedman and Nemenyi tests of blur angle <i>θ</i>’s absolute errors. by Wei Zhou (24328)

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