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Publikováno v:
Expert Systems with Applications. 224:120041
Determining proper quantities for ingredients is an essential part of cooking practice from the perspective of enriching tastiness and promoting healthiness. We introduce KitchenScale, a fine-tuned Pre-trained Language Model (PLM) that predicts a tar
Artificial Intelligence agents are required to learn from their surroundings and to reason about the knowledge that has been learned in order to make decisions. While state-of-the-art learning from data typically uses sub-symbolic distributed represe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cdd55af99b857486b0934d252eb9765
https://openaccess.city.ac.uk/id/eprint/27580/1/2012.13635.pdf
https://openaccess.city.ac.uk/id/eprint/27580/1/2012.13635.pdf
Autor:
Luciano Serafini, Artur d’Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi
The recent availability of large-scale data combining multiple data modalities has opened various research and commercial opportunities in Artificial Intelligence (AI). Machine Learning (ML) has achieved important results in this area mostly by adopt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::725d08d08755b9117c89e3cb1b2bc608
https://doi.org/10.3233/faia210498
https://doi.org/10.3233/faia210498