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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 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...-
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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... -
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...-
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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 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... -
InCop Test Data Set
The datasets were designed to monitor and predict stress levels among operators in an industrial environment through the use of smartwatches. The structure is hierarchical and...-
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Private SubCat: A Dataset of Subordinate Categories in Human Mind and LLMs for the It...
People can categorize the same entity at multiple taxonomic levels, such as basic (bear), superordinate (animal), and subordinate (grizzly bear). While prior research has... -
Private LatentOut
Tensorflow Implementation of LatentOut This repository provides a Tensorflow implementation of the LatentOut framework for anomaly detection. It is an extension of VAEOut, an...
