Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ly, Antoine"'
Generic pre-trained neural networks may struggle to produce good results in specialized domains like finance and insurance. This is due to a domain mismatch between training data and downstream tasks, as in-domain data are often scarce due to privacy
Externí odkaz:
http://arxiv.org/abs/2412.09341
The development of Machine Learning is experiencing growing interest from the general public, and in recent years there have been numerous press articles questioning its objectivity: racism, sexism, \dots Driven by the growing attention of regulators
Externí odkaz:
http://arxiv.org/abs/2307.13616
Autor:
Chancel, Antoine, Bradier, Laura, Ly, Antoine, Ionescu, Razvan, Martin, Laurene, Sauce, Marguerite
Machine Learning permeates many industries, which brings new source of benefits for companies. However within the life insurance industry, Machine Learning is not widely used in practice as over the past years statistical models have shown their effi
Externí odkaz:
http://arxiv.org/abs/2209.02057
The use of models, even if efficient, must be accompanied by an understanding at all levels of the process that transforms data (upstream and downstream). Thus, needs increase to define the relationships between individual data and the choice that an
Externí odkaz:
http://arxiv.org/abs/2209.00562
Autor:
Ly, Antoine
En été 2013, le terme de "Big Data" fait son apparition et suscite un fort intérêt auprès des entreprises. Cette thèse étudie ainsi l'apport de ces méthodes aux sciences actuarielles. Elle aborde aussi bien les enjeux théoriques que pratique
Externí odkaz:
http://www.theses.fr/2019PESC2030/document
Text is the most widely used means of communication today. This data is abundant but nevertheless complex to exploit within algorithms. For years, scientists have been trying to implement different techniques that enable computers to replicate some m
Externí odkaz:
http://arxiv.org/abs/2010.00462
Since May 2018, the General Data Protection Regulation (GDPR) has introduced new obligations to industries. By setting a legal framework, it notably imposes strong transparency on the use of personal data. Thus, people must be informed of the use of
Externí odkaz:
http://arxiv.org/abs/2007.12919
Econometrics and machine learning seem to have one common goal: to construct a predictive model, for a variable of interest, using explanatory variables (or features). However, these two fields developed in parallel, thus creating two different cultu
Externí odkaz:
http://arxiv.org/abs/1708.06992
Since May 2018, the General Data Protection Regulation (GDPR) has introduced new obligations to industries. By setting a legal framework, it notably imposes strong transparency on the use of personal data. Thus, people must be informed of the use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=arXiv_______::2cfb348a83e2ded2da0b18b0a25c8c33
http://arxiv.org/abs/2007.12919
http://arxiv.org/abs/2007.12919
Since May 2018, the General Data Protection Regulation (GDPR) has introduced new obligations to industries. By setting a legal framework, it notably imposes strong transparency on the use of personal data. Thus, people must be informed of the use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f18b82c5be6980375a44d4858d9a3f2e