176 items found

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  • Method

    Privlib

    privlib is a Python software package to manage privacy risk and discrimination in tabular and sequential data. It comprises methods to assess privacy risk (PRUDEnce) and...
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  • Method

    Debiaser for Multiple Variables (DEMV)

    DEMV is a Debiaser for Multiple Variables that aims to increase Fairness in any given dataset, both binary and categorical, with one or more sensitive variables, while keeping...
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  • Method

    Reducing radicalizism in social networks by feeds prioritization - Rebalancin...

    Code and description of the methodology of the paper "Rebalancing Social Feed to Minimize Polarization and Disagreement" funded by SoBigData ++
  • Method

    Gene-specific regularization for COPD partial-correlation estimation

    We introduce a gene-specific regularization factor when computing the Partial Correlation score to make the indeterminate regression feasible. We decided to slightly modify...
  • Method

    A New Topological Approach for the Prediction of Protein-Protein Interactions

    We propose, Maximum-Proteins-Similarity(Topological)": MPS(T). MPS(T) is a topological three-length path method that scores the potential interaction between proteins by...
  • Method

    A hybrid approach for PPI

    We propose a new framework that can exploit topological and biological information to predict protein-protein interactions. The algorithm relies on the underlying hypothesis...
  • Method

    EpiCID: A framework for discovering interactions between SNPs

    Epistatic interactions (EIs) of gene loci often determine complex trait phenotypes. EIs may indicate the underlying molecular mechanisms of multifactorial traits and diseases....
  • Method

    Epidemic Sentiment Analysis

    This tool is a sentiment analysis framework inspired by models of epidemic spreading, which aims to extend sentiment-tagged lexicons. It is easily extendable to multiple...
  • Method

    Prediction of next career moves from scientific profiles

    This is a two-stage predictive model for the mobility of scientists. First, data mining is used to predict which researcher will move in the next year on the basis of their...
  • Method

    Economic Integration Model

    This model allows to understand the integration process of immigrants starting from retail data. Under development.
  • Method

    Nowcasting migration stocks and flows

    This method nowcasts migration stocks and flows by using Twitter data. Under development.
  • Method

    Superdiversity and Sentiment

    This method analysises the effect of the migration phenomena on the sentiment of a community. Under development.
  • Method

    Twitter preprocessor

    Tokeniser, lemmatiser, extraction of negation. Under development.
  • Method

    Modelling Scientific Migration

    This method is an adaptation of the general migration models to understand scientific migration. Under development.
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    Method

    Private Internal migration and mobile communication patterns among pairs with strong ...

    Using large-scale call detail records of anonymised mobile phone service subscribers with demographic and location information, we investigate how a long-distance residential...
  • Method

    Micro Project Methods: Academic Migration and Academic Networks

    Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain
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    Estimating countries' peace index with GDELT

    We use news media attention from the Global Data of Events, Location and Tone (GDELT) database, as a proxy for estimating Global Peace Index (GPI), to complement the knowledge...
  • Method

    Ground truth evaluation of home location detection algorithms

    Inferring mobile phone users' home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging...
  • Method

    TARS based prediction for Next Basket

    Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list...
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  • Method

    DebtRank Systemic Risk Estimation Method

    The DebtRank algorithm is used to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches.The method...
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