76 items found

Types: JournalArticle

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  • JournalArticle

    UTLDR: an agent-based framework for modelling infectious diseases and public ...

    Nowadays, due to the SARS-CoV-2 pandemic, epidemic modeling is experiencing a constantly growing interest from researchers of heterogeneous fields of study. Indeed, the vast...
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  • JournalArticle

    An ethico-legal framework for social data science

    This paper presents a framework for research infrastructures enabling ethically sensitive and legally compliant data science in Europe. Our goal is to describe how to design...
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  • JournalArticle

    Algorithmic Decision Making Based on Machine Learning from Big Data

    Decision-making assisted by algorithms developed by machine learning is increasingly determining our lives. Unfortunately, full opacity about the process is the norm. Would...
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  • JournalArticle

    Angel efficient and effective node centric community discovery in static and ...

    Community discovery is one of the most challenging tasks in social network analysis. During the last decades, several algorithms have been proposed with the aim of identifying...
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  • JournalArticle

    Attention dynamics on the Chinese social media Sina Weibo during the COVID-19...

    COVID-19 was first detected in Hubei province of China and has had severe impact on the life in the country since then. We investigate how this epidemic has influenced...
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  • JournalArticle

    Automating and utilizing equal-distribution data classification

    Data classification, i.e., organising data items in groups (classes), is a general technique widely used in data visualisation and cartography, in particular, for creation of...
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  • JournalArticle

    Bias in algorithmic filtering and personalization

    Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal...
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  • JournalArticle

    Algorithmic Decision Making Based on ML from Big Data. Can Transparency Resto...

    Decision-making assisted by algorithms developed by machine learning is increasingly determining our lives. Unfortunately, full opacity about the process is the norm. Would...
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  • JournalArticle

    Accountability for the Use of Algorithms in a Big Data Environment

    Accountability is the ability to provide good reasons in order to explain and to justify actions, decisions, and policies for a (hypothetical) forum of persons or...
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  • JournalArticle

    Algorithmic Accountability and Public Reason

    The ever-increasing application of algorithms to decision-making in a range of social contexts has prompted demands for algorithmic accountability. Accountable decision-makers...
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  • JournalArticle

    A theoretical model for pattern discovery in visual analytics

    The word ‘pattern’ frequently appears in the visualisation and visual analytics literature, but what do we mean when we talk about patterns? We propose a practicable...
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  • JournalArticle

    A Survey of Methods for Explaining Black Box Models

    In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of...
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  • JournalArticle

    A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young...

    Wearable devices now make it possible to record large quantities of physiological data, which can be used to obtain a clearer view of a person’s health status and behavior....
  • JournalArticle

    A public data set of spatio-temporal match events in soccer competitions

    Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of sensing technologies that provide high-fidelity data streams for...
  • JournalArticle

    A decade of social bot detection

    Bots increasingly tamper with political elections and economic discussions. Tracing trends in detection strategies and key suggestions on how to win the fight.
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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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  • JournalArticle

    AI and Big Data A blueprint for a human rights and social and ethical impact ...

    Building on studies of the collective dimension of data protection, this article sets out to embed this new perspective in an assessment model centred on human rights (Human...
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  • JournalArticle

    On the performance of learned data structures

    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...
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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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