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  • TrainingMaterial

    Introduction to Data Curation

    This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...
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    • PDF
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  • JournalArticle

    Attention dynamics on the Chinese social media Sina Weibo during the COVID-19...

    COVID-19 was first detected in Hubei province of China and has had severe impact on the life in the country since then. We investigate how this epidemic has influenced...
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  • ConferencePaper

    Why Are Learned Indexes So Effective

    A recent trend in algorithm design consists of augmenting classic data structures with machine learning models, which are better suited to reveal and exploit patterns and trends...
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    Method

    Private Visualising community detection in networks

    A series of experimental techniques to visualize relational communities and their blurred boundaries in networks
  • Method

    Workshopping on social big data and adversarial publics

    This report is based on an empirical case study on content moderation, whose objective is to interrogate whether content moderation can be reclaimed by users as a practice...
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  • Method

    Web Archive Collection Extractor

    This method extracts event-centric collections of Web Archives through a focused crawling method. The key of this method is to adapt focused Web crawling to previously collected...
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    • Github
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  • ConferencePaper

    Measuring What Counts The case of Rumour Stance Classification

    Stance classification can be a powerful tool for understanding whether and which users believe in online rumours. The task aims to automatically predict the stance of replies...
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  • JournalArticle

    The PGM-index a fully-dynamic compressed learned index with provable worst-ca...

    We present the first learned index that supports predecessor, range queries and updates within provably efficient time and space bounds in the worst case. In the (static)...
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  • JournalArticle

    Fairer machine learning in the real world

    Mitigating discrimination without collecting sensitive data Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used...
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  • ConferencePaper

    Beyond Distributive Fairness in Algorithmic Decision Making

    Beyond Distributive Fairness in Algorithmic Decision Making Feature Selection for Procedurally Fair Learning With widespread use of machine learning methods in numerous...
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  • ConferencePaper

    Private traits and attributes are predictable from digital records of human b...

    We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes...
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  • Method

    STS-EPR - Trajectory generator

    Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. Existing models focus on...
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  • Method

    Sociometer

    The Sociometer is an analytical framework based on data mining methods that analizes users’ call habits, and classifies people into behavioral categories, among residents,...
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    • TAR
      The resource: 'Sociometer source code' is not accessible as guest user. You must login to access it!
  • Method

    Exploration of time use by citizens based on their movement tracks

    This resource consists of a visual analytics framework and a set of supporting tools for deriving place meaning and reconstructing personal mobility diaries from episodic...
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    • rep
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  • Method

    MyWay - Trajectory Prediction

    MyWay is a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the...
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  • Method

    Borders

    It is a general method to determine the influence of social and mobility behavior over a specific geographical area in order to evaluate to what extent the current...
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  • Method

    Carpooling

    Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its...
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  • Method

    Carpooling Network Analysis

    Our method analyzes the potential impact of carpooling as a collective phenomenon emerging from people׳s mobility, by network analytics. Based on big mobility data from...
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    • HTML
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  • Method

    Privacy Risk on Sociometer

    This method provides a Privacy Risk Assessment on CDR data, aggregated through the presence vectors used by the Sociometer.
    • PDF
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    • TXT
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    • jar
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