159 items found

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  • Experiment

    Experimenting ASPen on the IMDB dataset

    It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical...
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  • Experiment

    Experimenting ASPen on the Cora dataset

    It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical...
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  • Experiment

    Experimenting ASPen on the Pokémon dataset

    It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical...
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    Dataset

    Private Demosthenes

    Repository of the Demosthenes corpus, a novel corpus for argument mining in legal documents composed of 40 decisions of the Court of Justice of the European Union on matters...
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    Dataset

    Private AMELIA - Argument Mining Evaluation on Legal documents in ItAlian

    This repository contains 225 Italian decisions on Value Added Tax (VAT), annotated in xml, to identify and categorize argumentative text. Based on this data, we propose three...
  • Dataset

    Privacy Policies Compliance

    Dataset composed of 30 privacy policies of online platforms, annotated to assess the level of comprehensiveness of information. This work focuses on the processed categories...
    • ZIP
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  • Application

    Australian Internet Observatory

    National research infrastructure for collecting and analysing digital platforms and social data. The Australian Internet Observatory is a new, four-year national research...
  • Method

    Neural Networks for Sparse Grid-Based Discontinuity Detectors

    In this repository, we publish the codes necessary to load and use the NN-based discontinuity detectors, presented for the first time in the preprint: Graph-Informed Neural...
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    Dataset

    Private Acoustic Emission dataset for impact localization: numerical and experimental...

    Simulated AE signals based on a ray-tracing algorithm taking into consideration reflections with the mechanical boundaries of the medium (reflection up to the 4th order),...
  • Method

    Onboard deep lossless and near-lossless predictive coding of hyperspectral im...

    Code for "Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention" paper. The method implements a low-complexity neural...
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  • Experiment

    Experimenting ASPen on the Music dataset

    It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical...
    • The resource: 'ASPen on the Music dataset' is not accessible as guest user. You must login to access it!
  • Experiment

    Experimenting ASPen on the DBLP dataset

    It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical...
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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....
  • JournalArticle

    Conformity a Path-Aware Homophily measure for Node-Attributed Networks

    Unveil the homophilic/heterophilic behaviors that characterize the wiring patterns of complex networks is an important task in social network analysis, often approached...
    • PDF
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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....
    • PDF
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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...
    • PDF
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  • JournalArticle

    Identifying and exploiting homogeneous communities in labeled networks

    Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a...
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  • JournalArticle

    Explaining misclassification and attacks in deep learning via random forests

    Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...
    • PDF
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  • JournalArticle

    The ambiguity of nestedness under soft and hard constraints

    Many real networks feature the property of nestedness, i.e. the neighbours of nodes with a few connections are hierarchically nested within the neighbours of nodes with more...
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  • JournalArticle

    The democracy of emergency at the time of the coronavirus the virtues of privacy

    The emergency of the Coronavirus imposes a cultural debate on the balancing of rights, freedoms and social responsibilities, finalized to the protection of individual and...
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