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Gaussian Blur (1)

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Convolves the image with a Gaussian kernel wherein the Gaussian has a standard deviation specified by the user ("sigma") and the kernel width in each dimension is 6 times the standard deviation of the Gaussian. You can find more details here

Created: 2012-06-13 | Last updated: 2012-06-13

galaxy_101 (2)

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  This is a Galaxy pipeline written using the Galaxy 101 tutorial (https://main.g2.bx.psu.edu/galaxy101). The pipeline involves retrieving genome and SNP data from UCSC for a particular chromosome. These data are integrated in order to find exons with the highest number of SNPs.

Created: 2012-06-13 | Last updated: 2012-06-14

Credits: Peter Li

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Trial Pack for UT UCD

Created: 2012-06-11 12:06:57 | Last updated: 2012-06-17 14:46:28

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ir

Created: 2012-06-08 03:28:32

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Image Characterisation - Fits (Extended) (1)

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Extracts metadata from images.

Created: 2012-06-06 | Last updated: 2012-06-06

Credits: Markus Plangg

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Dataset for workflow: "TextualAttributeExtraction fo...

Created: 2012-06-03 19:47:32 | Last updated: 2012-06-04 08:37:05

Credits: Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/x-zip-compressed

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TextualAttributeExtraction for Recommender... (1)

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This workflow takes conent data from VideoLectures.Net Recommender System Challenge and extractes word-vectors for each lecture. Latent semantic analysis with Singular Value Decomposition is done on item-word binary matrix. The last step is the binomializaiton of dataset.

Created: 2012-06-03

Evaluating semantic kernel with k-NN class... (1)

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This workflow uses k-NN classifier to evaluate quality of EL++ Convolution Kernel [1]. As a dataset one of the examples from DL-Learner project [2] is used. After preparing knowledge base with "Build Knowledge Base", the item to item distance matrix is computed with "Calculate Gram/Distance Matrix". Such a matrix is then used as an input to 10-fold cross-validation with k-NN as an classifier and average result is delivered. [1] L. Józefowski, A. Lawrynowicz, J...

Created: 2012-05-30 | Last updated: 2012-06-07

Semantic clustering with k-Medoids and ALC... (1)

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 This workflow loads data from a configuration file for DL-Learner (http://dl-learner.org) and uses ALCN Semantic Kernel [1] to cluster those data with k-Medoids algorithm. [1] N. Fanizzi, C. d’Amato, F. Esposito. Learning with Kernels in Description Logics. ILP 2008  

Created: 2012-05-30 | Last updated: 2012-06-07

Clustering data from DBpedia using AHC (1)

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 This workflow uses Aglomerative Hierarchical Clustering algorithm to build hierarchy of clusters on data downloaded from DBpedia, the semantic version of Wikipedia. RDF data are downloaded from SPARQL endpoint and merged with DBpedia ontology by "Build Knowledge Base". Set of items to cluster is selected with "SPARQL Selector" and later they are clustered by "Agglomerative Hierarchical Clustering" with distance measure induced by the Bloehdorn Kernel [1]. ...

Created: 2012-05-30 | Last updated: 2012-06-07