Copyright notice: The following code is provided under the GNU GPL license. It does not come with any warranty of any kind.

  • Keywords-To-SPARQL exploration

    Keywords-To-SPARQL exploration is a novel method for searching and exploring evolving RDF data graphs using keywords. Our approach generates a set of candidate SPARQL queries that try to capture users information need as expressed by the keywords.
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  • WLpyramid

    The Pyramid Quantized Weisfeiler-Lehman Graph Representation (WLpyramid) is an efficient framework that tackles the graph comparison and representation problem for large graph with continuous or vector labels. WLpyramid was evaluated on two different tasks with real datasets, on a fMRI analysis task and on the generic problem of 3D shape classification.
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  • k-support regularized SVM

    The k-support regularized Support Vector Machine (ksup-SVM) is a sparsity regularization method that extends the L1 regularized SVM to a mixed norm of both L1 and L2 norms. This enables the use of a correlated sparsity regularization with the power of the SVM framework. Our proposed method is evaluated in a neuromuscular disease classification task using MRI-based markers.
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  • k-support norm regularization to fMRI analysis

    An exploration of various sparse regularization techniques for analyzing fMRI data, such as the L1 norm (often called LASSO in the context of a squared loss function), Elastic Net, and k-support norm.
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  • MatureBayes

    MatureBayes is a tool for predicting mature miRNA molecules within a miRNA precursor sequence using a Naive Bays classifier trained in mammalians microRNAs. MatureBayes has both a web interface, as well as code available that could run in your machine locally.
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