176 items found

Types: Method

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  • Method

    GATE Cloud Hyperpartisan News Classifier

    Attempts to classify whether a text is hyper-partisan or not. This system won first prize in the Hyperpartisan News Detection task at SemEval 2019
    • method-engine
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  • Method

    GATE Cloud Multilingual News Similarity Service

    Service that takes two news article texts and attempts to determine whether they refer to the same underlying news story. The articles may be in the same or in different...
    • method-engine
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  • Method

    Focus Metric

    https://github.com/HPAI-BSC/Focus-Metric Implementation of the Focus metric. This metric is able to evaluate explainability methods and quantify their coherency to the task...
    • github
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  • Method

    XAI Library

    A suite of methods for explainable AI for different Ai models
  • Method

    Visualizing the Results of Boolean Matrix Factorizations

    We provide a method to visualize the results of Boolean Matrix Factorization algorithms. Our method can also be used to visualize overlapping clusters in bipartite graphs. The...
  • Method

    GLocalX - Explaining in a Local to Global setting

    GLocalX is a model-agnostic Local to Global explanation algorithm. Given a set of local explanations expressed in the form of decision rules, and a black-box model to explain,...
    • GitHub
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    • HTML
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  • Method

    XAI Method for explaining time-series

    LASTS is a framework that can explain the decisions of black box models for time series classification. The explanation consists of factual and counterfactual rules revealing...
  • Method

    LORE

    The recent years have witnessed the rise of accurate but obscure decision systems which hide the logic of their internal decision processes to the users. The lack of...
    • python
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  • Method

    MARLENA

    MARLENA is novel technique able to explain the reasons behind any black-box multi-label classifier decision. It will generate an explanation in the form of a decision rule....
    • python
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  • Method

    TriplEx - Explaining with Triples

    TRIPLEX is an explainability package for Transformer-based models fine-tuned on Natural Language Inference, Semantic Text Similarity, or Text Classification tasks. TRIPLEX...
  • Method

    Reducing Graph Structural Bias by Adding shortcut edges

    Algorithms that tackle the problem of minimizing average/maximum hitting time (BMAH/BMMH) between different social network groups, given fixed shortcut edges. The...
    • Data
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  • Method

    Geolet

    Geolet is a Python library that offers an interpretable transformation and classification approach for trajectory data. Geolet first partitions trajectories into multiple...
  • Method

    Visualizing the Results of Biclustering and Boolean Matrix Factorization Algo...

    This archive contains the code to visualize biclusters from the paper "Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations" by Thibault Marette, Pauli...
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    Method

    Private TraffiCO2: a simulative framework to assess navigation systems' impact on CO2...

    TraffiCO2 is a simulation framework to assess the impact of GPS navigation apps on urban well-being in terms of carbon dioxide (CO2) emissions. TraffiCO2 uses GPS data to...
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    Method

    Private Connected vehicle simulation framework for parking occupancy prediction

    This work demonstrates a simulation framework that collects data about connected vehicles' locations and surroundings in a realistic traffic scenario. Our focus lies on the...
  • Method

    Event Attendance Prediction using Twitter

    An event classification package.
    • HTML
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  • Method

    Analysis of GPS data to assess changes in mobility routines during the COVID-...

    Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. In this experiment, we...
  • Method

    Changes of mobility routines during the COVID-19 pandemic

    Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. This method allows to...
  • Method

    Generating Synthetic Mobility Networks with Generative Adversarial Networks

    The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the...
  • Method

    Python library for direct and indirect discrimination prevention in data mining

    This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...
    • GitHub
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