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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... -
Private Visualising community detection in networks
A series of experimental techniques to visualize relational communities and their blurred boundaries in networks -
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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Web Archive Collection Extractor
This method extracts event-centric collections of Web Archives through a focused crawling method. The key of this method is to adapt focused Web crawling to previously collected...-
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Github
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Measuring What Counts The case of Rumour Stance Classification
Stance classification can be a powerful tool for understanding whether and which users believe in online rumours. The task aims to automatically predict the stance of replies...-
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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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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... -
Beyond Distributive Fairness in Algorithmic Decision Making
Beyond Distributive Fairness in Algorithmic Decision Making Feature Selection for Procedurally Fair Learning With widespread use of machine learning methods in numerous... -
Private traits and attributes are predictable from digital records of human b...
We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes... -
STS-EPR - Trajectory generator
Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. Existing models focus on...-
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text/x-python
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Sociometer
The Sociometer is an analytical framework based on data mining methods that analizes users’ call habits, and classifies people into behavioral categories, among residents,...-
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TAR
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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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rep
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MyWay - Trajectory Prediction
MyWay is a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the... -
Borders
It is a general method to determine the influence of social and mobility behavior over a specific geographical area in order to evaluate to what extent the current...-
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Carpooling
Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its... -
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... -
Privacy Risk on Sociometer
This method provides a Privacy Risk Assessment on CDR data, aggregated through the presence vectors used by the Sociometer. -
Mobility Profile
This algorithm allows to create a mobility profile of the users' mobility. A mobility profile is a set of representative trips selected from the entire set of trips of a user. -
Spatio temporal visual analytics a vision for 2020s
Visual analytics is a research discipline that is based on acknowledging the power and the necessity of the human vision, understanding, and reasoning in data analysis and...-
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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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