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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... -
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 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 GreenBioNet
The methods contain a benchmarking pipeline for evaluating Graph Neural Networks (GNNs) across performance, energy consumption, and resource usage on heterogeneous hardware... -
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 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... -
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...-
ZIP
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ZIP
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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 AutoEncoder-based eXplainable Anomaly Detection (AE-XAD)
AE-XAD This repository contains the code of the AE-XAD method (authored by Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina and Simona Nisticò). Dataset Dataset classes are... -
Private AE-SAD
Tensorflow implementation of AE-SAD This repository provides a Tensorflow implementation of the AE-SAD method for (semi-)supervised anomaly detection. Citation and Contact... -
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... -
Private Expression profiling by high throughput sequencing
The dataset contains transcriptomic data of pancreatic islet preparations obtained from 10 type 2 diabetic subjects. The transcriptomic profile of each preparation was... -
Private MVC_Italian_speech_LLD_HLD
Low Level (Shimmer, Loudness, Harmonics-to-Noise Ratio,...) and High Level Descriptors (Functionals for the arithmetic mean and variance, Functionals for the mean and standard... -
Private VitaGraph
VitaGraph is a comprehensive biomedical network integrating diverse entity types such as drugs, genes, diseases, biological processes, and side effects. It serves as a... -
Private 5G data communication traces
5G data communication traces, collected during "e-commerce" or "streaming" sessions, done with, respectively, Amazon, Ebay and Shein, and Amazon Prime Video and Netflix. The... -
Experimenting ASPen on the Pokémon dataset
It has been recently proposed ASPen: an Answer Set Programming (ASP) encoding for LACE, which is a novel declarative approach to Collective Entity Resolution in the classical... -
Private An Inverse Learning Paradigm for Controller Tuning Rules
A sim2real approach for data-driven controller tuning, utilizing a digital twin to generate input-output data and suitable controllers around nominal parameter values. It is a... -
Private Radio Link Performance Evaluation - NLoS scenario with Mobile Network Operato...
This dataset captures, using Nemo Outdoor software, data related to the radio link performance in an infrastructure with antennas provided by a mobile network operator...
