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The equilibrium effects of mortality risk
This paper investigates how mortality risk affects agents’ optimal decisions and asset prices within a general equilibrium framework. A risk-averse households facing a... -
Private Terrorists recruitment text classification dataset for PRESERVE (AI generated)
This dataset contains labelled conversations that correspond to conversation in forums, social media or instant messaging applications. It's a dataset for binary... -
Private Online learning of order flow and market impact with Bayesian change-point de...
The paper proposes the use of Bayesian online change-point detection (BOCPD) methods to identify regime shifts in real-time and enable online predictions of order flow and... -
Private Reinforcement Learning for Optimal Execution When Liquidity Is Time-Varying
The paper investigates the application of Double Deep Q-Learning, a neural network-based Reinforcement Learning approach, to derive optimal trading policies in the presence of... -
Private Information flow in the FTX bankruptcy: A network approach
The paper investigates the cryptocurrency network of the FTX exchange during the collapse of its native token. A filtered correlation matrix is constructed by using... -
Private Modeling shock propagation and resilience in financial temporal networks
The paper proposes a vector autoregressive framework to analytically compute the Impulse Response Function of a network metric conditional to a shock on a node. Moreover, the... -
Private CAESar: Conditional Autoregressive Expected Shortfall
The paper proposes a new methodology named Conditional Autoregressive Expected Shortfall (CAESar) which is able to handle dynamic patterns flexibly and includes... -
Private Bayesian autoregressive online change-point detection with time-varying param...
The paper proposes a new methodology on Change-Point Detection in a probabilistic framework that allows for real time updates and uncertainty estimation. It allows to... -
Single-image super-resolution microscopy
A deep learning pre-trained model based on the Enhanced Super Resolution Generative Adversarial Network (ESRGAN) is used to obtain a Super-Resolution (SR) image from a...-
ZIP
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Private jointfusion_hackathon
A joint fusion DL model was developed to predict ASD from structural and functional connectome brain features extracted form the ABIDE MRI and fMRI datasets. The DL algorithm... -
Private bone age assessment
The goal this DL model is to predict the age of a subject by looking at his/her X-ray image of the hand. This DL algorithm was developed to address a challenge posed on thee... -
Private Hate Speech text classification dataset for PRESERVE (AI generated)
This dataset contains labelled conversations that correspond to conversation in forums, social media or instant messagging applications. It's a dataset for hate speech... -
AGC: Autism Graph Classifier
AGC is designed to support the processing and analysis of brain connectivity data by leveraging standard outputs from widely used neuroimaging pipelines such as CPAC and...-
ZIP
The resource: 'autism-graph-classifier-main' is not accessible as guest user. You must login to access it!
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Private GreenBioNet
The methods contain a benchmarking pipeline for evaluating Graph Neural Networks (GNNs) across performance, energy consumption, and resource usage on heterogeneous hardware... -
Private GITHUB VADER IT
The repository contains the software prototype of the VADER-IT tool, an adaptation of the VADER model for sentiment analysis in Italian. The software is designed to estimate... -
Private Origin and destination attachment from Twitter
The cultural integration of immigrants conditions their overall socio-economic integration as well as natives' attitudes towards globalisation in general and immigration in... -
Private Superdiversity dataset
The Superdiversity dataset includes the Superdiversity Index (SI) calculated on the diversity of the emotional content expressed in texts of different communities. The... -
Private Recto-Colon Cancer TAC Dataset
A medical imaging dataset composed of six files with no file extension. Each file corresponds to a single patient CT scan (TAC - Tomografía Axial Computarizada), representing... -
Private EEG Dementia Disease Dataset (Alzheimer,Creutzfeldt-Jacob, and Control Subjects)
This EEG dataset used for the classification/decoding of Alzheimer (AD), Creutzfeldt-Jacob disease (CJD), and Healthy Control (CNTRL) subjects. The zip folder contains three... -
Private Dataset: Exploring sustainable alternatives for the deployment of microservic...
The dataset consists of architectural solutions generated through multi-objective optimization of a microservices-based system, specifically the Train Ticket Booking Service...
