Zobrazeno 1 - 10
of 399
pro vyhledávání: '"Aragon R"'
Autor:
Fernández-Merodo, J.A., Ezquerro, P., Manzanal, D., Béjar-Pizarro, M., Mateos, R.M., Guardiola-Albert, C., García-Davalillo, J.C., López-Vinielles, J., Sarro, R., Bru, G., Mulas, J., Aragón, R., Reyes-Carmona, C., Mira, P., Pastor, M., Herrera, G.
Publikováno v:
In Engineering Geology 20 March 2021 283
Autor:
Aragon, R., Muriel, A.
Publikováno v:
In Results in Physics December 2020 19
Akademický článek
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Akademický článek
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In recent years, the exponential growth in the number of items and products handled by e-commerce sites has led to the introduction of intelligent systems aimed at supporting users during the decision-making proces. Making the choice of a product amo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::e5bad6e56f48afdd41f39d67eccd1ab4
http://hdl.handle.net/10281/390673
http://hdl.handle.net/10281/390673
This study deals with the problem of the recognition of dermatological and exanthematic diseases through the use of deep learning techniques in order to diagnose malignant diseases at an early stage and in general to bring the pathology identified by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::2919d26d61242b34b4cac13a639fa173
http://hdl.handle.net/10281/390686
http://hdl.handle.net/10281/390686
Autor:
Schiaffino A., Reina M., Matamoros Aragon R., Epifania F., Ruggeri F., Castrignano I. M., Marconi L.
This study stems from the observation of the growing demand, interest and incredible potential offered by Artificial Intelligence and Machine Learning techniques in the fields of content website or ecommerce. In particular, we will study the Content
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::a39f8b51152c215f7842e8bda38662d4
http://hdl.handle.net/10281/390671
http://hdl.handle.net/10281/390671
Autor:
Marconi, L, Matamoros Aragon, R, Fossati, S, Zoppis, I, Actis Grosso, R, Manzoni, S, Mauri, G, Epifania, F
Nowadays, learning and training processes are beginning to be affected by the diffusion of Artificial Intelligence (AI) techniques and methods. Despite its potentialities, AI and in particular deep learning (DL) models are normally suffering from som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1299::545f4640b9128b31c67038ef4e3e25cb
http://hdl.handle.net/10281/325225
http://hdl.handle.net/10281/325225
Publikováno v:
Scopus-Elsevier
Learning and training processes are starting to be affected by the diffusion of Artificial Intelligence (AI) techniques and methods. AI can be variously exploited for supporting education, though especially deep learning (DL) models are normally suff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::660dac8b8624023283bd2e5138beace6
http://hdl.handle.net/10281/300662
http://hdl.handle.net/10281/300662
Autor:
Corro Verde, U.A., De La Fuente Alonso, C., Romero Fernandez, J., López Valcárcel, M., Gil Haro, B., Velasco Jimenez, J., Benlloch Rodriguez, R., Santana Jimenez, S., Paisán Palacio, L., Rubiato Aragon, R., Valcárcel Diaz, A., Sarrión Rubio de la Torre, P., Engel, O., Obeso Herrera, J.F., Zapata Paz, I., Hernández Miguel, M., Cordoba Largo, S.
Publikováno v:
In Radiotherapy and Oncology May 2023 182 Supplement 1:S932-S933