24 items found

Types: ConferencePaper

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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

    Boilerplate Removal using a Neural Sequence Labeling Model

    The extraction of main content from web pages is an important task for numerous applications, ranging from usability aspects, like reader views for news articles in web...
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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

    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

    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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    ConferencePaper

    Private 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

    Private 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...
  • 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

    Private Structural Invariants in Individuals Language Use The Ego Network of Words

    The cognitive constraints that humans exhibit in their social interactions have been extensively studied by anthropologists, who have highlighted their regularities across...
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    ConferencePaper

    Private 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

    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

    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

    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

    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

    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

    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

    Efficient detection of Byzantine attacks in federated learning using last lay...

    Federated learning (FL) is an alternative to centralized machine learning (ML) that builds a model across multiple decentralized edge devices (a.k.a. workers) that own the...
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  • ConferencePaper

    Fairness and Abstraction in Sociotechnical Systems

    A key goal of the fair-ML community is to develop machine-learning based systems that, once introduced into a social context, can achieve social and legal outcomes such as...
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  • ConferencePaper

    Fair detection of poisoning attacks in federated learning

    Federated learning is a decentralized machine learning technique that aggregates partial models trained by a set of clients on their own private data to obtain a global model....
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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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