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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... -
GATE Cloud COVID-19 Vaccine Text Categoriser
A machine learning classifier trained to categorise text about COVID-19 vaccines into 6 categories - Liberty or Freedom; Development, Provision and Access; Safety, Efficacy...-
method-engine
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method-engine
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Carpooling Network Analysis
Our method analyzes the potential impact of carpooling as a collective phenomenon emerging from people׳s mobility, by network analytics. Based on big mobility data from... -
Forecasting the market value of soccer players from soccer-logs and social me...
This experiments aims to develop a methodology to monitor and predict the market value of professional soccer players given their performance computed from soccer-logs and... -
Injury forecaster for soccer players
An algorithm to forecast the injuries of soccer players given their training workload -
Relationship between External and Internal Workloads in Soccer Players
The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of... -
Multi-flow Composition in video streaming channels
This experiment is part the project "Streams of conspiratorial folklore" that investigates online media as a stream of performances, rather than as archives of documents. Our... -
Twitter Monitor
The Twitter Monitor is an interactive Web application designed to access the Twitter stream by exploiting the public Twitter Streaming APIs. The application can manage...-
HTML
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HTML
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method-engine
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method-engine
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Cymrie Welsh Named Entity Recognizer
The CYMRIE named entity recognition is a service for the analysis of Welsh text. It identifies name of persons, locations, organizations, as well as money amounts, time and...-
method-engine
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method-engine
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Estimation of emissions from vehicles' GPS trajectories
We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272... -
GeoSim - Trajectory generator (integration in scikit-mobility)
GeoSim, proposed by Toole et al. [1], is a mechanistic generative model for human mobility. GeoSim takes into account the social dimension between individuals during the...-
HTML
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text/x-python
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HTML
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Single and combined effect of kinesio tape and warm-up on sprint cycling perf...
The fact that kinesio tape may be capable to enhance muscle power would qualify it as practical tool to be considered during passive warm-up (WU) or coupled with active WU... -
Human Mobility Data Privacy Risk Estimator
This method is a fast and flexible approach to estimate privacy risk in human mobility data. The idea is to train classifiers to capture the relation between individual... -
Urban Mobility Atlas
The framework provides a visual interface to a series of analytical processes for the comprehension of human mobility patterns. The framework is feeded with a series of models...-
HTML
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HTML
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German Named Entity Recognizer
This is a named entity recognition service for documents in German. Based on ANNIE, it identifies names of persons, locations, and organizations.-
method-engine
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method-engine
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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... -
WikiData Geo Mapper
Look up entities found by TAGME in Wikidata and extract geographical information.-
Github
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Github
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Covid infodemic in Italy -- Most retweeted accounts
Top 10 most retweeted accounts on Covid-related keywords, between Jan 30 and Mar 20, 2020.-
ZIP
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ZIP
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Privacy Risk on Trajectories
This method provides a Privacy Risk Assessment on mobility data, in terms of trajectories or aggregation of trajectories, i.e., locations with frequency of visit and locations...-
Python
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Python