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Estimation of Resting Heart Rate circadian rhythm
Wrist-worn wearable devices equipped with heart rate (HR) sensors have become increasingly popular. The ability to correctly interpret the collected data is fundamental to... -
Changes of mobility routines during the COVID-19 pandemic
Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. This method allows to... -
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...-
PDF
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mp4
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rep
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PDF
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GLocalX - Explaining in a Local to Global setting
GLocalX is a model-agnostic Local to Global explanation algorithm. Given a set of local explanations expressed in the form of decision rules, and a black-box model to explain,... -
MARLENA
MARLENA is novel technique able to explain the reasons behind any black-box multi-label classifier decision. It will generate an explanation in the form of a decision rule....-
python
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python
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Deep Gravity model
Deep Gravity is an effective model to generate flow probabilities that exploits many features (e.g., land use, road network, transport, food, health facilities) extracted from... -
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...-
PDF
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PDF
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LORE
The recent years have witnessed the rise of accurate but obscure decision systems which hide the logic of their internal decision processes to the users. The lack of...-
python
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python
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PassNet
Deep learning for automatic detection of soccer events from broadcasted video Soccer analytics is attracting increasing interest in academia and industry, thanks to the... -
Soccer teams ranking simulator
This algorithm simulates the outcomes of an entire season of each team of a football league only relying on technical data (i.e., excluding the goals scored), by exploiting a... -
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-
PDF
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PDF
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Private Boilernet
Deploys an artificial neural network to remove the boilerplate from HTML files. Annotates the text content in the file or extracts the text from the HTML file. -
Private Distributed W2V
Accelerated training of Word Embeddings for large text corpora. Creates a word2vec-model from an input corpus of tokenized texts through the use of parallel distributed... -
Fast and scalable likelihood maximization for Exponential Random Graph Models
Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...-
PDF
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PDF
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WBiCM
The method implements a maximum entropy model tailored for weighted bipartite graphs. This model incorporates constraints on degree sequences/topology and strength sequences. -
Egonetworks
This package contains classes and functions for the structural analysis of ego networks. An ego network is a simple model that represents a social network from the point of... -
Tail granger causality network construction
This method constructs a causality network by implementing Granger-causality tests for extreme events in multivariate time series. -
Detecting Content That Triggers Polarization in Social Networks
We provide a method that finds echo chambers in online social networks. The method considers controversial contents and finds users of the network who discuss these contents... -
Maximum entropy network reconstruction
This method reconstructs a bipartite network by using the Maximum Entropy principle. This method is useful to assess aggregated and single bank's systemicness and vulnerability...
