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Privlib
Privlib is a Python software package to manage privacy risk and discrimination in tabular and sequential data. It comprises methods to assess privacy risk (PRUDEnce) and... -
Debiaser for Multiple Variables (DEMV)
DEMV is a Debiaser for Multiple Variables that aims to increase Fairness in any given dataset, both binary and categorical, with one or more sensitive variables, while keeping...-
ipynb
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ipynb
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Gene-specific regularization for COPD partial-correlation estimation
We introduce a gene-specific regularization factor when computing the Partial Correlation score to make the indeterminate regression feasible. We decided to slightly modify... -
A New Topological Approach for the Prediction of Protein-Protein Interactions
We propose, Maximum-Proteins-Similarity(Topological)": MPS(T). MPS(T) is a topological three-length path method that scores the potential interaction between proteins by... -
A hybrid approach for PPI
We propose a new framework that can exploit topological and biological information to predict protein-protein interactions. The algorithm relies on the underlying hypothesis... -
EpiCID: A framework for discovering interactions between SNPs
Epistatic interactions (EIs) of gene loci often determine complex trait phenotypes. EIs may indicate the underlying molecular mechanisms of multifactorial traits and diseases.... -
Private Internal migration and mobile communication patterns among pairs with strong ...
Using large-scale call detail records of anonymised mobile phone service subscribers with demographic and location information, we investigate how a long-distance residential... -
Micro Project Methods: Academic Migration and Academic Networks
Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain-
HTML
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HTML
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Estimating countries' peace index with GDELT
We use news media attention from the Global Data of Events, Location and Tone (GDELT) database, as a proxy for estimating Global Peace Index (GPI), to complement the knowledge... -
Ground truth evaluation of home location detection algorithms
Inferring mobile phone users' home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging... -
TARS based prediction for Next Basket
Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list... -
DebtRank Systemic Risk Estimation Method
The DebtRank algorithm is used to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches.The method... -
Estimating Collective Wellbeing
This method estimates the wellbeing of a country by using an alternative measure to GDP. The proposed measure is the average sophistication of the satisfiable needs of a...-
ZIP
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ZIP
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Influence of missing RR-Intervals caused by motion artifacts on HRV features ...
Wearable physiological monitors have become increasingly popular, often worn during people’s daily life, collecting data 24 hours a day, 7 days a week. In the last decade,... -
Nowcasting well-being with human mobility data
This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data. -
A Narrative Review for a Machine Learning Application in Sports: An Example B...
In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly... -
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... -
SDNN24 Estimation from Semi-Continuous HR Measures
The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices... -
Explaining the difference between men and women football
Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often... -
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...