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Physical Activity Levels and Perceived Changes in the Context of Intra-EEA Mi...
As mobility within the European Economic Area (EEA) is on the rise, it is important to understand migrants’ health-related behaviors (such as physical activity [PA]) within... -
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-
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The Case Study of Deepfakes [Video Tutorial]
The video tutorial discusses the case study of deepfakes to present how to perform Visual Media Analysis for Online Discourses. The tutorial includes: research questions;... -
Using Computer Vision Techniques to Study Images from the Web [Video Tutorial]
The video tutorial discusses using computer vision techniques to study online images, including case studies, research methods, challenges faced, and lessons learned. -
Visual Media analysis for Online Discourses [Video Tutorial]
The video tutorial introduces the concept of the "metapicture" for the visual media analysis of online discourses and explains various analysis techniques: Visual Similarity,... -
Analysing Meme Collections with the Computer Vision Network Approach [Video T...
The video tutorial presents techniques for analysing meme collections with the computer vision network approach, including seven steps for network building and interpretation,... -
Making meme collections [Video Tutorial]
The video tutorial discusses making meme collections, including the meme as a technical collection of objects, automated visual analysis, and meme collection distinctiveness. -
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... -
Label flipping attacks in Federated Learning
The following experiments showcase Federated Learning using Scikit-learn.-
ipynb
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Conversational search dataset with labels
CAsT 2019 data is split into two files one for training and the other one for testing. - Training set: CAsT 2019 conversations from training set and from test set without... -
Ego Networks of Words in Twitter
This set of dataframes were used in our last paper : Ollivier K, Boldrini C, Passarella A, Conti M (2022) Structural invariants and semantic fingerprints in the “ego network”... -
Dataset for Evaluating Abstractive Summaries of Crisis-Related Social Media
The dataset created for evaluation of summaries generated from social media posted during five natural disasters. The dataset contains: ground truth reports created by human... -
CoPhIR
The CoPhIR (Content-based Photo Image Retrieval) Test-Collection has been developed to make significant tests on the scalability of the SAPIR project infrastructure (SAPIR:... -
Facebook EuroSys 2009
This dataset contains Social and interaction graphs representing two large-scale Facebook regional networks. Social graphs describe Facebook friendships between users... -
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...-
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The Italian Music Dataset
The dataset is built by exploiting the Spotify and SoundCloud APIs. It is composed of over 14,500 different songs of both famous and less famous Italian musicians. Each song...-
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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.