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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 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 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... -
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”... -
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....
