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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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    Dataset

    Private Human Activity Recognition Dataset

    Smartwatches and other mobile smart gadgets are used in this effort to collect data. The effectiveness of our suggested solution is determined by fusing the two separate...
  • TrainingMaterial

    Archive Crawling

    Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These...
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  • JournalArticle

    The fundamental rights challenges of algorithms

    Algorithms form an increasingly important part of our daily lives, even if we are often unaware of it. They are enormously useful in many different ways. They facilitate the...
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    Method

    Private ASPen: ASP-based Implementation for Collective Entity Resolution

    This is an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical relational database setting....
  • TrainingMaterial

    Epidemics and city. How mobility and well being changed with COVID19 era

    How did the COVID-19 epidemics change our mobility habits, and how did it impact on people’s well-being and on the virus transmissibility? In the first webinar of the seminar...
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  • Experiment

    Annotazione semantica di delibere comunali

    Progetto POC per l'uso delle tecniche di text mining su documenti della pubblica amministrazione per migliorare la trasparenza e l’accesso alle informazioni da parte dei...
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    Method

    Private neuroAnDetect

    Semi-supervised approach to anomaly detection for neuro-imaging. The method generates segmentation of abnormal tissues that can be used to support medical reporting. The...
  • TrainingMaterial

    Ego network analysis, information-driven social links and impact on informati...

    Slide from the Summer School on Computational Misinformation Analysis 2019 lesson
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  • TrainingMaterial

    Data Journalism and Story Telling

    The module aims to teach how to present the knowledge extracted from big data using multimedia story telling. It also shows some of the most recent and meaningful experiences...
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    Application

    Private BrainyBot

    BrainyBot (BB) is a robot infrastructure that can be programmed to solve turn-based, single player board games, such a Candy Crush Saga, Ball Sort Puzzle, 2048 and whatever...
  • 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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  • TrainingMaterial

    Evaluating the significance of network observables with a maximum entropy-bas...

    This webinar was organised by the Network Medicine Exploratory (WP10) and hosted Enrico Maiorino. Enrico Maiorino is a very esteemed researcher at Brigham Women's Hospital,...
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  • Dataset

    Wi-Fi Dataset of wireless channel samplings

    The dataset was acquired by periodically sampling a wireless channel with Wi-Fi frames. The main goal is to track the evolution of the channel quality by acquiring key...
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  • TrainingMaterial

    High Performance and Scalable Analytics Module

    Mining with big data or big data mining has become an active research area. Running current analytical methodologies and software tools on a single personal computer cannot...
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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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  • Dataset

    DELTA: Dense Electromyography for Long-Term Adaptive control

    The DELTA dataset, namely ”Dense Electromyography for Long-Term Adaptive control”, holds significance in the realm of prosthetic applications, featuring High Density surface...
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  • JournalArticle

    Ethical Value Centric Cybersecurity. A Methodology Based on a Value Graph

    Our society is being shaped in a non-negligible way by the technological advances of recent years, especially in information and communications technologies (ICTs). The...
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  • TrainingMaterial

    Data Mining and Machine Learning for Social Science

    An introductory course for data mining and machine learning for social science. The course focuses on presenting typical data mining and machine learning techniques by using a...
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  • TrainingMaterial

    Deep Learning Course

    This course developed by Universitat Politècnica de Catalunya and Barcelona Supercomputing Center provides an applied approach to Deep Learning. It chooses to present an...
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