3 papers
cs.AI2023★ 5 cited
Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization
Yasser Khalafaoui, Nistor Grozavu, Basarab Matei +1
By combining related objects, unsupervised machine learning techniques aim to reveal the underlying patterns in a data set. Non-negative Matrix Factorization (NMF) is a data mining…
cs.CL2023★ 7 cited
PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extraction
Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond +1
Unsupervised Relation Extraction (RE) aims to identify relations between entities in text, without having access to labeled data during training. This setting is particularly relev…
stat.AP2020
Understanding and monitoring the evolution of the Covid-19 epidemic from medical emergency calls: the example of the Paris area
Stéphane Gaubert, Marianne Akian, Xavier Allamigeon +16
We portray the evolution of the Covid-19 epidemic during the crisis of March-April 2020 in the Paris area, by analyzing the medical emergency calls received by the EMS of the four…