29 items found

Types: ConferencePaper

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  • ConferencePaper

    Digital footprints of international migration on twitter

    Studying migration using traditional data has some limitations. To date, there have been several studies proposing innovative methodologies to measure migration stocks and...
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  • ConferencePaper

    Characterising different communities of Twitter users: migrants and natives

    Today, many users are actively using Twitter to express their opinions and to share information. Thanks to the availability of the data, researchers have studied behaviours...
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  • ConferencePaper

    Dynamics of Scientific Collaboration Networks Due to Academic Migrations

    Academic migration is the change of host institution by a researcher, typically aimed at achieving a stronger research profile. Scientific features such as the number of...
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  • ConferencePaper

    Democratizing Quality-Based Machine Learning Development through Extended Fea...

    ML systems have become an essential tool for experts of many domains, data scientists and researchers, allowing them to find answers to many complex business questions...
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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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  • 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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  • ConferencePaper

    Automatic pass annotation from soccer VideoStreams based on object detection ...

    Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of data that describe all the spatio-temporal events that occur in each...
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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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  • 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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  • 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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  • ConferencePaper

    Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exem...

    We present xspells, a model-agnostic local approach for explaining the decisions of a black box model for sentiment classification of short texts. The explanations provided...
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  • ConferencePaper

    Multi layered Explanations from Algorithmic Impact Assessments in the GDPR

    Impact assessments have received particular attention on both sides of the Atlantic as a tool for implementing algorithmic accountability. The aim of this paper is to address...
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  • ConferencePaper

    Explanation of Deep Models with Limited Interaction for Trade Secret and Priv...

    An ever-increasing number of decisions affecting our lives are made by algorithms. For this reason, algorithmic transparency is becoming a pressing need: automated decisions...
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  • ConferencePaper

    Predicting and Explaining Privacy Risk Exposure in Mobility Data

    Mobility data is a proxy of different social dynamics and its analysis enables a wide range of user services. Unfortunately, mobility data are very sensitive because the...
  • ConferencePaper

    Explaining Any Time Series Classifier

    We present a method to explain the decisions of black box models for time series classification. The explanation consists of factual and counterfactual shapelet-based rules...
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  • ConferencePaper

    Interpretable Next Basket Prediction Boosted with Representative Recipes

    Food is an essential element of our lives, cultures, and a crucial part of human experience. The study of food purchases can drive the design of practical services such as...
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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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  • ConferencePaper

    Heterogeneous Document Embeddings for Cross-Lingual Text Classification

    Funnelling (Fun) is a method for cross-lingual text classification (CLC) based on a two-tier ensemble for heterogeneous transfer learning. In Fun, 1st-tier classifiers, each...
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  • ConferencePaper

    A comparative study of fairness enhancing interventions in machine learning

    Computers are increasingly used to make decisions that have significant impact on people's lives. Often, these predictions can affect different population subgroups...
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