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Private Twitter users retweet
The dataset was collected using the tweepy API (http://docs.tweepy.org), a Python library for accessing the Twitter API. We selected 14 Twitter accounts, and we obtained all... -
EVALITA 2020 HT
This dataset is obtained by transforming the training and test data of the two EVALITA tasks into an LLM prompt following a template. The tasks involved are AMI2020 (misogyny...-
ZIP
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ZIP
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Private Battery State of Health in smart grids Dataset
Smart Grids are the evolution of traditional electric grids and allow two-way flows of electricity and information between different actors. At the edge of this network,... -
Experimental results from the Empirical Investigation of the Completeness of ...
This is the raw data from the empirical investigation of the paper “Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation”. This work aim of... -
Private Optimizing Empty Container Repositioning and Fleet Deployment via Configurabl...
We introduce a novel framework, Configurable SemiPOMDPs, to model this type of problems. Furthermore, we provide a two-stage learning algorithm, “Configure & Conquer”... -
Bark Beetle Outbreak Czech Republic
Repository containing satellite dataset created for bark beetle outbreak detection in satellite (Sentinel-1 and Sentinel-2) images. The dataset refer to scenes observed in... -
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... -
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 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... -
Debiaser for Multiple Variables (DEMV)
DEMV is a Debiaser for Multiple Variables that aims to increase Fairness in any given dataset, both binary and categorical, with one or more sensitive variables, while keeping...-
ipynb
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ipynb
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GiveMeSomeCreditSC
The GiveMeSomeCredit dataset - https://www.kaggle.com/c/GiveMeSomeCredit - contains different features of borrowers. The task is predicting the financial distress of a...-
ZIP
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ZIP
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Frank Experiments
Dataset with experimental results for the "Frank" hybrid decision-making system, with simulated users. Features: - CA. Co-evolutionary Accuracy. Accuracy reached by the user...-
JSON
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JSON
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HANSEN: Spoken Text Authorship Analysis
HANSEN encom- passes meticulous curation of existing speech datasets accompanied by transcripts, along- side the creation of novel AI-generated spo- ken text datasets.... -
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CSV
The resource: 'Churn Dataset' is not accessible as guest user. You must login to access it!
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CSV
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Medical Dataset
The medical dataset contains a corpus of fully anonymized clinical text. Each document in the corpus is associated with a set of ICD-9 codes which represents the diagnosis...-
ZIP
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ZIP
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Dataset Adult
The adult dataset includes $48,842$ instances with demographic information like age, workclass, marital-status, race, capital-loss, capital-gain etc. The income attribute...-
CSV
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CSV
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German Credit
In the german credit dataset each one of the 1,000 persons is classified as a good or bad creditor according to attributes like age, sex, checking_account, credit_amount,...-
CSV
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CSV
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Compas
The compas dataset contains the features used by the COMPAS algorithm for scoring defendants and their risk (Low, Medium and High), for over $4,000$ individuals. We considered...-
CSV
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CSV
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Minimizing Hitting Time between Disparate Groups with Shortcut Edges
Experiments on real-world datasets to evaluate the effectiveness of the algorithms proposed in paper...-
Github
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Github
