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Measuring objective and subjective well-being dimensions and data sources
Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main approaches for the...-
HTML
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HTML
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GLocalX-From Local to Global Explanations of Black Box AI Models
Artificial Intelligence (AI) has come to prominence as one of the major components of our society, with applications in most aspects of our lives. In this field, complex and...-
HTML
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HTML
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PDF
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PDF
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Change of direction asymmetry across different age categories in youth soccer
Background: In youth, the development of change of direction (COD) and sprint performance is a key component for successfully competing in soccer across age. During a COD, the...-
HTML
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HTML
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CLiQS
CLiQS is a Python language software package for social media texts summarization with a diversified approach. -
Multi-Task Faces (MTF) dataset
The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four...-
ZIP
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ZIP
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Ariadne English Dendrochronology Entity Recognizer
Identifies terms and phrases in English for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...-
method-engine
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method-engine
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Ariadne Dutch Dendrochronology Entity Recognizer
Identifies terms and phrases in Dutch for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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Ariadne Swedish Archaeology Named Entity Recognizer
Identifies terms and phrases in Swedish for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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Ariadne Swedish Dendrochronology Entity Recognizer
Identifies terms and phrases in Swedish for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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Ariadne Dutch Archaeology Named Entity Recognizer
Identifies terms and phrases in Dutch for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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Ariadne English Archaeology Named Entity Recognizer
Identifies terms and phrases in English for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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MaxAndSam Network Reconstruction Method
This method reconstructs socio-economic and financial networks from partial information, i.e., the knowledge of intrinsic node-specific properties and of the number of...-
RAR
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RAR
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VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination ...
We create a publicly available dataset of over 3,100 COVID-19 vaccine-related tweets labeled as one of four stance categories: pro-vaxx, anti-vaxx, vaxx-hesitant, or... -
Cross-Lingual Dataset of Crisis-Related Social Media
If you use this dataset, please cite the following paper: Fedor Vitiugin, Carlos Castillo: Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive... -
Ukraine-related Disinformation Dataset
Ukraine-related disinformation dataset from "Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation" (accepted at SocInfo... -
Cherenkov Telescope Data for Ordinal Quantification
This labeled data set is targeted at ordinal quantification. It appears in our research paper "Ordinal Quantification Through Regularization", which we have published at... -
Learning to quantify: LeQua 2022 datasets
The aim of LeQua 2022 (the 1st edition of the CLEF “Learning to Quantify” lab) is to allow the comparative evaluation of methods for “learning to quantify” in textual...
