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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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  • TrainingMaterial

    Social Network Analysis

    Social Network Analysis course @ Master SoBigData This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at...
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  • Experiment

    Pluralistic Recommendation in News - Report

    Report on the Humane-AI microproject "Pluralistic Recommendation in News". It contains details on how the two relevant datasets were built, a link to the two, and details...
    • PDF
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  • TrainingMaterial

    Social Network Analysis @MasterBigData2021

    This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online...
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    • PDF
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    • PDF
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  • TrainingMaterial

    Complex Network Analysis Lecture

    These slides are for a lecture “Network analysis”, of 851-0585-38L Data Science in Techno-Socio-Economic Systems course presented in the spring semester 2021 at ETH Zurich....
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  • TrainingMaterial

    Tutorial on Learning To Rank

    Efficiency/Effectiveness Trade-offs in Learning to Rank” tutorial by Claudio Lucchese and Franco Maria Nardini at the European Conference on Machine Learning and Principles...
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    • PDF
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    • ipynb
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    • tar.gz
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  • TrainingMaterial

    Data Journalism and Story Telling

    The module aims to teach how to present the knowledge extracted from big data using multimedia story telling. It also shows some of the most recent and meaningful experiences...
    • PDF
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    • PDF
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  • Method

    Fast and scalable likelihood maximization for Exponential Random Graph Models

    Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...
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  • JournalArticle

    The Role of the GDPR in Designing the European Strategy on Artificial Intelli...

    Starting from an analysis of the EU Reg. n. 2016/679 on General Data Protection Regulation (GDPR), the Author deals with the opportunity to translate the current strategies on...
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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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  • Experiment

    Simulation of individual mobility using STS-EPR

    In this experiment we simulate the mobility of individuals in New York City, London, and Tokyo, using STS-EPR. For each city, we compare the synthetic trajectories generated...
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  • JournalArticle

    Big Data and Due Process Toward a Framework to Redress Predictive Privacy Harms

    The rise of “Big Data” analytics in the private sector poses new challenges for privacy advocates. Through its reliance on existing data and predictive analysis to create...
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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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  • JournalArticle

    Big other Surveillance capitalism and the prospects of an information civiliz...

    This article describes an emergent logic of accumulation in the networked sphere, ‘surveillance capitalism,’ and considers its implications for ‘information civilization.’ The...
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  • TrainingMaterial

    Compressed and Learned Data Structures Seminar

    In this seminar cycle, students are guided in the direct usage of a powerful C++ library implementing many state-of-the-art compressed data structures for big data. Other than...
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    • ZIP
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    • TXT
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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

    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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    • PDF
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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

    Explaining misclassification and attacks in deep learning via random forests

    Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...
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