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JobRecommender
JobRecommender PublicThis repository contains the source code related to the paper intitled "Job Recommendation based on Job Seeker Skills: An Empirical Study"
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mfbn
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MFBN: Multilevel framework for bipartite networks
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IA-for-fully-automatic-COVID-19-detection
IA-for-fully-automatic-COVID-19-detection PublicFADCIL is a cutting-edge deep learning framework based on YOLO and 3D U-Net, designed for the automatic detection of COVID-19 from chest CT scans. This repository provides the source code for FADCI…
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- IA-for-fully-automatic-COVID-19-detection Public
FADCIL is a cutting-edge deep learning framework based on YOLO and 3D U-Net, designed for the automatic detection of COVID-19 from chest CT scans. This repository provides the source code for FADCIL, which identifies and quantifies lung lesions caused by COVID-19 with high precision, differentiating them from other pulmonary diseases.
visibilia/IA-for-fully-automatic-COVID-19-detection’s past year of commit activity - SIION Public
This is the repo containing code and other resources for the paper entitled "Exploiting Geographical Data to improve Recommender Systems for Business Opportunities in Urban Areas" and published at BRACIS 2019.
visibilia/SIION’s past year of commit activity - JobRecommender Public
This repository contains the source code related to the paper intitled "Job Recommendation based on Job Seeker Skills: An Empirical Study"
visibilia/JobRecommender’s past year of commit activity
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