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  • JournalArticle

    A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm

    We critically re-examine the Saerens-Latinne-Decaestecker (SLD) algorithm, a well-known method for estimating class prior probabilities (“priors”) and adjusting posterior...
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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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  • JournalArticle

    Temporal social network reconstruction using wireless proximity sensors: mode...

    The emerging technologies of wearable wireless devices open entirely new ways to record various aspects of human social interactions in a broad range of settings. Such...
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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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  • JournalArticle

    Proposal for a Regulation of the European Parliament and the Council laying d...

    Our remarks focus on two main issues: 1) providing operational tools to link the ethics and the legal dimension of a Trustworthy AI avoiding risks of ethics washing; 2) the...
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  • JournalArticle

    General confidentiality and utility metrics for privacy-preserving data publi...

    Anonymization for privacy-preserving data publishing, also known as statistical disclosure control (SDC), can be viewed under the lens of the permutation model. According to...
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  • JournalArticle

    Volleyball-Specific Skills and Cognitive Functions Can Discriminate Players o...

    Formenti, D, Trecroci, A, Duca, M, Vanoni, M, Ciovati, M, Rossi, A, and Alberti, G. Volleyball-specific skills and cognitive functions can discriminate players of different...
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  • JournalArticle

    Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of ...

    Application of ultra–short Heart Rate Variability (HRV) is desirable in order to increase the applicability of HRV features to wrist-worn wearable devices equipped with heart...
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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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  • JournalArticle

    Data science: a game changer for science and innovation

    This paper shows data science’s potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science impacts science and society...
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  • JournalArticle

    Introduction to the special issue on social mining and big data ecosystem for...

    Data Science is rapidly changing the way we do business, socialize, and govern society. It is also changing the way scientifc research is performed. A new paradigm is...
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  • JournalArticle

    European Data Governance Act

    The proposal for a Regulation of the European Parliament and of the Council on data governance is the first of a set of measures announced in the 2020 European strategy for...
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  • JournalArticle

    On Artificial Intelligence - A European approach to excellence and trust

    Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases),...
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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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  • 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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  • JournalArticle

    Fair Transparent and Accountable Algorithmic Decision making Processes

    The Premise, the Proposed Solutions, and the Open Challenges The combination of increased availability of large amounts of fine-grained human behavioral data and advances in...
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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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