103 items found

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  • ConferencePaper

    Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from ...

    We present an approach to explain the decisions of black-box image classifiers through synthetic exemplar and counter-exemplar learnt in the latent feature space. Our...
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  • Method

    Polarizing opinion vectors with the Friedkin-Johnsen Model

    This code contains two Mathematica notebooks to find the polarizing opinion vectors given the social graph and the nodes’ susceptibility. The notebooks have to be saved in the...
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  • JournalArticle

    Interpretable socioeconomic status inference from aerial imagery through urba...

    Urbanization is a great challenge for modern societies, promising better access to economic opportunities, but widening socioeconomic inequalities. Accurately tracking this...
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  • JournalArticle

    Evaluating local explanation methods on ground truth

    Evaluating local explanation methods is a difficult task due to the lack of a shared and universally accepted definition of explanation. In the literature, one of the most...
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  • JournalArticle

    Explanation in artificial intelligence. Insights from the social sciences

    There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparency to their algorithms....
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  • ConferencePaper

    Measuring the Impact of Readability Features in Fake News Detection

    The proliferation of fake news is a current issue that influences a number of important areas of society, such as politics, economy and health. In the Natural Language...
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  • JournalArticle

    Grounds for Trust. Essential Epistemic Opacity and Computational Reliabilism

    Several philosophical issues in connection with computer simulations rely on the assumption that results of simulations are trustworthy. Examples of these include the debate...
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  • Application

    Twitter Monitor

    The Twitter Monitor is an interactive Web application designed to access the Twitter stream by exploiting the public Twitter Streaming APIs. The application can manage...
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  • JournalArticle

    Fair Prediction with Disparate Impact A Study of Bias in Recidivism Predictio...

    Recidivism prediction instruments (RPIs) provide decision-makers with an assessment of the likelihood that a criminal defendant will reoffend at a future point in time....
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  • JournalArticle

    Solving the Black Box Problem. A Normative Framework for Explainable Artifici...

    Many of the computing systems programmed using Machine Learning are opaque: it is difficult to know why they do what they do or how they work. Explainable Artificial...
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  • Method

    GeoSim - Trajectory generator (integration in scikit-mobility)

    GeoSim, proposed by Toole et al. [1], is a mechanistic generative model for human mobility. GeoSim takes into account the social dimension between individuals during the...
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    • text/x-python
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  • ConferencePaper

    Estimating countries’ peace index through the lens of the world news as monit...

    Peacefulness is a principal dimension of well-being, and its measurement has lately drawn the attention of researchers and policy-makers. During the last years, novel digital...
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  • Method

    Urban Mobility Atlas

    The framework provides a visual interface to a series of analytical processes for the comprehension of human mobility patterns. The framework is feeded with a series of models...
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  • Method

    Event Attendance Prediction using Twitter

    An event classification package.
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  • JournalArticle

    Toward Accountable Discrimination Aware Data Mining

    "Big Data" and data-mined inferences are affecting more and more of our lives, and concerns about their possible discriminatory effects are growing. Methods for...
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  • Method

    Matlas - TClustering

    Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. Its basic idea is similar to DBSCAN, but it...
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  • Dataset

    A dataset of journalists on Twitter

    This dataset comprises the Twitter timelines of journalists belonging to 17 different countries from 8 different continental regions, downloaded in May 2018. We used the Twitter...
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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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  • BookChapter

    Machine Learning Explainability Through Comprehensible Decision Trees

    The role of decisions made by machine learning algorithms in our lives is ever increasing. In reaction to this phenomenon, the European General Data Protection Regulation...
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  • Method

    GLocalX - Explaining in a Local to Global setting

    GLocalX is a model-agnostic Local to Global explanation algorithm. Given a set of local explanations expressed in the form of decision rules, and a black-box model to explain,...
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