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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

    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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  • ConferencePaper

    Why Are Learned Indexes So Effective

    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 trends...
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  • Method

    Exploration of time use by citizens based on their movement tracks

    This resource consists of a visual analytics framework and a set of supporting tools for deriving place meaning and reconstructing personal mobility diaries from episodic...
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  • JournalArticle

    Co Bridges Pair wise Visual Connection and Comparison for Multi item Data Str...

    In various domains, there are abundant streams or sequences of multi-item data of various kinds, e.g. streams of news and social media texts, sequences of genes and sports...
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  • Method

    Workshopping on social big data and adversarial publics

    This report is based on an empirical case study on content moderation, whose objective is to interrogate whether content moderation can be reclaimed by users as a practice...
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  • JournalArticle

    The PGM-index a fully-dynamic compressed learned index with provable worst-ca...

    We present the first learned index that supports predecessor, range queries and updates within provably efficient time and space bounds in the worst case. In the (static)...
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  • Method

    How to Use Visual Media Analysis for Social Media Research

    How-to guide that describes four recipes for visual media analysis, including key software tools that enable the analysis
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  • Dataset

    Base de données du projet RTTP (Regional Tuna Tagging Programme)

    Le jeu de données Tagging "RTTP-IO tagging dataset" de la CTOI (Commission Thonière de l'Océan Indien à Victoria aux Seychelles) correspond à des données de marquages et de...
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  • Dataset

    Thons marqués par le projet RTTP

    The first tagged tuna were released by the project at the beginning of May 2005 in Seychelles waters.For all tagged fish were recorded: Tag number, Species, length, tagger,...
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  • Dataset

    Code list for gears used by IOTC

    Code list for gears used by the Indian Ocean Tuna Commission (IOTC). This code list was built using as input various IOTC public domain datasets.
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  • Dataset

    Thons marqués par le projet RTTP

    The first tagged tuna were released by the project at the beginning of May 2005 in Seychelles waters.For all tagged fish were recorded: Tag number, Species, length, tagger,...
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  • Dataset

    Codes used for groups of gears in IOTC

    Code list for groups of gears used by the Indian Ocean Tuna Commission (IOTC). This code list was built using as input various IOTC public domain datasets.
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  • Dataset

    Code list for types of schools used by IOTC

    Code list for types of schools used by the Indian Ocean Tuna Commission (IOTC). This code list was built using as input various IOTC public domain datasets.
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  • Dataset

    Thons marqués par le projet RTTP et recapturés par les pêcheurs

    Thons marqués durant le programme RTTP et recapturés par les pêcheurs.For all recovery were recorded: Tag number, Species, length, weight, who, where (country, vessel, cannery,...
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  • Dataset

    Annual catch of tuna, tuna-like and shark species in the Indian Ocean (1950-2...

    This dataset lists catch of tuna, tuna-like and shark species from the Indian Ocean Tuna Commission (IOTC)from 1950 to 2015. Catches are stratified by year, species, fishing...
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    • WMS
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  • Dataset

    Areas used in the Nominal catches (task 1) dataset of the IOTC

    The areas used in the nominal catches (task 1) dataset of the Indian Ocean Tuna Commission (IOTC). These areas are the FAO fishing areas F51 and F57.
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  • Dataset

    Code list for species used by IOTC

    Code list for species used by the Indian Ocean Tuna Commission (IOTC). This code list was built using as input various IOTC public domain datasets.
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