52 items found

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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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  • 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,...
    • PDF
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    • TAR
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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...
    • PDF
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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

    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

    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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    • mp4
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    • rep
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  • 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...
    • PDF
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  • Method

    How to Use Visual Media Analysis for Social Media Research

    How-to guide that describes four recipes for visual media analysis, including key software tools that enable the analysis
    • PDF
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  • TrainingMaterial

    Social Network Analysis @MasterBigData2022

    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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  • 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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  • Method

    How to Make Meme Collections

    How to guide to make meme collections by querying and extracting memes from four key sites: the meme database Know Your Meme, the web search engine Google Images, the meme...
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    Private Milestone_4. Demonstrator of a software solution for decision support in Mont...

    This delivery describes the KNIME tool, the FoodProcess Web Application and the FoodDecide Backend Service as three different software solutions for decision support in...
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    Private Milestone_2. Algorithmen zur Erkennung von Verteilungsmustern

    This delivery provides the description and development of an algorithm for the detection of distribution patterns.
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    Paper

    Private deep reinforcement learning from human preferences

    this paper explains how to use human preferences to generate rewards for a reinforcement learning algorithm.
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    Paper

    Private summarizing from human feedback

    this paper explains a method for generating machine translations from human feedback.
  • 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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  • 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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  • 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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  • 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...
    • PDF
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