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Machine Learning Explainability Through Comprehensible Decision Trees
The role of decisions made by machine learning algorithms in our lives is ever increasing. In reaction to this phenomenon, the European General Data Protection Regulation... -
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... -
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... -
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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...-
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Matlas - Trajectory Builder
Trajectory Builder is an Algorithm to reconstruct trajectories from spatio-temporal observation according to specific user constraints.-
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Statistical validation
This is a method to filter a large complex network to its backbone structure, by means of statistical hypothesis testing. This method is available as a downloadable software...-
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Matlas - TClustering
Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. Its basic idea is similar to DBSCAN, but it...-
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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...-
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Private Mobility Constrained Segregation Models
Since the development of the original Schelling model of urban segregation, several enhancements have been proposed, but none have considered the impact of mobility constraints... -
Interpretable socioeconomic status inference from aerial imagery through urba...
Urbanization is a great challenge for modern societies, promising better access to economic opportunities, but widening socioeconomic inequalities. Accurately tracking this...-
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Gate Cloud
This is the new improved version of the GATE Cloud platform originally launched in 2011 to provide end-to-end text processing solutions from the GATE family running on cloud...-
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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...-
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Facebook - New Orleans regional network
This dataset contains information about 90,269 users and 3,646,662 friendship links between those users. These users belong to the New Orleans Facebook regional network. The...-
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Sistema di monitoraggio a distanza delle persone in quarantena
Le persone sottoposte a test COVID-19 risultate positive al tampone e quelle entrate in contatto con esse sono messe in quarantena e sottoposte a monitoraggio a distanza da...-
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Algorithmic decision making and the cost of fairness
Algorithms are now regularly used to decide whether defendants awaiting trial are too dangerous to be released back into the community. In some cases, black defendants are... -
Bias in algorithmic filtering and personalization
Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal... -
Accountability for the Use of Algorithms in a Big Data Environment
Accountability is the ability to provide good reasons in order to explain and to justify actions, decisions, and policies for a (hypothetical) forum of persons or... -
Algorithmic Accountability and Public Reason
The ever-increasing application of algorithms to decision-making in a range of social contexts has prompted demands for algorithmic accountability. Accountable decision-makers... -
Introduction to Data science for Social Scientists
This course, initially designed for social scientists, covers several topics of data science. Python programming Data Cleaning and Transformation Classification Clustering...-
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