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PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic S...
We introduce the PaintNet dataset to accelerate research on supervised learning for multi-path prediction conditioned on free-shape 3D objects. PaintNet includes more than 800... -
Private Cybersecurity NER dataset
Our dataset is created by merging APTNER and CyNER datasets, containing 13601 sentences, 347779 tokens, and 37684 entities. The split ratio was roughly 70% for training and... -
Iperf K8s-based Power and Resource consumption dataset
The data were collected in a Prometheus-like data format: each entry has a timestamp, a value and key-value labels containing additional information. Metrics were gathered...-
CSV
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CSV
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Private Air Traffic Data International Mobility Indicators for the UK
The Air Traffic Data International Mobility Indicators for the UK results from the investigation on air passenger data. Starting from air passenger traffic volumes from each... -
Stroke and sepsi
The considered stroke dataset (DOI:10.17632/x8ygrw87jw.1, DOI:10.1016/j.artmed.2019.101723) was pre-processed by removing attributes with more than 30% missing values, by... -
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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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...-
JSON
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TXT
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JSON
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TXT
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text/x-python
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JSON
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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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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...-
ZIP
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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... -
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... -
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... -
Private mamtorch library
Python Multiply-And-Max/min (MAM) torch-compatible kernel library (https://github.com/SSIGPRO/mamtorch). With this library, it is possible to substitute standard neurons with... -
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task P...
Human comprehension of a video stream is naturally broad: in a few instants, we are able to understand what is happening, the relevance and relationship of objects, 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....
