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Know your trees dataset
A set of images of urban trees in Tortona specifically focusing on images of trees, leaves, bark and habits along with general information, taxonomy, and selected biometric...-
ZIP
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Cybersecurity NER SecureBERT model
This method includes a Python script and files of a SecureBERT model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will be...-
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text/x-python
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Characterising different communities of Twitter users: migrants and natives
Today, many users are actively using Twitter to express their opinions and to share information. Thanks to the availability of the data, researchers have studied behaviours... -
Origin and destination attachment: study of cultural integration on Twitter
The cultural integration of immigrants conditions their overall socio-economic integration as well as natives’ attitudes towards globalisation in general and immigration in...-
HTML
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HTML
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Cybersecurity NER RoBERTa-base model
This method includes a Python script and files of a RoBERTa-base model fine-tuned on our Cybersecurity NER dataset. The method requires as input a list of sentences that will...-
JSON
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TXT
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JSON
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py
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Private Multi-Start Optimization Neural Networks
In this repository, we publish the codes necessary to implement the Multi-Start Optimization Neural Networks (MSO-NNs), presented fin the paper: Automatic... -
Private Vegetation of a basin of the Po river Dataset
We provide two climatological dataset composed by D = 136 (with 1038 samples) and D = 1991 (with 981 samples) continuous climatological features and a scalar target, which... -
y/Politics 1k
Social simulation data generated using Y Social focused on political-related topics. Y Social is a Digital Twin of an online social media platform that allows researchers to...-
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Private Word-in-Context task for Italian
The general goal of the WiC-ITA task is to establish whether a word w occurring in two different sentences, s_1 and s_2, has the same meaning or not. In particular, our task... -
Measuring the Salad Bowl: Superdiversity on Twitter
Superdiversity refers to large cultural diversity in a population due to immigration. In this paper, we introduce a superdiversity index based on the changes in the emotional... -
Human and mouse gene regulatory networks
The dataset was built by considering gene expression data related to 6 different organs (liver, lung, brain, skin, bone marrow, heart), obtained by control samples available... -
Combining Twitter and Mobile Phone Data to Observe Border-Rush: The Turkish-E...
Following Turkey's 2020 decision to revoke border controls, many individuals journeyed towards the Greek, Bulgarian, and Turkish borders. However, the lack of verifiable... -
Private Alternate Training for Multi-Task Neural Networks
In this repository, we publish the code used to implement the Alternate Training through the Epochs (ATE) procedure for training Multi-Task Neural Networks (MTNN) presented in... -
Private Highway driving simulation
The SUMO simulator is used to model scenarios with diferent road topologies and traffc intensities, randomizing the fow of vehicles, to ensure the generation of sufciently... -
Digital footprints of international migration on twitter
Studying migration using traditional data has some limitations. To date, there have been several studies proposing innovative methodologies to measure migration stocks and... -
Private Dynamical Linear Upper Confidence Bound (DynLin-UCB)
The repository contains the code to run DynLin-UCB (Dynamical Linear Upper Confidence Bound). DynLin-UCB is an optimistic regret-minimization algorithm that can be used to... -
Online Learning of Order Flow and Market Impact (OLOFMI)
This library performs regime detection in the aggregated order flow time-series and market impact analysis. The required input file is in the format of the message file of the... -
Score-Driven Bayesian Online Change Point Detection (SD-BOCPD)
This code deals with Bayesian online detection in univariate time-series of changepoints, i.e. abrupt variations in the generative parameters of a data, and regimes, i.e.... -
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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Private A Decade of Reddit Politics: Comprehensive Dataset on User Political Leanings...
"A Decade of Reddit Politics: Comprehensive Dataset on User Political Leanings and Interaction Networks (2011-2021)" is a comprehensive dataset containing a 10 years long...
