Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Horacio, Sanson"'
Autor:
Nelson Baloian, Jonathan Frez, José A. Pino, Cristóbal Fuenzalida, Sergio Peñafiel, Belisario Panay, Gustavo Zurita, Horacio Sanson
Publikováno v:
Journal of Universal Computer Science, Vol 29, Iss 11, Pp 1385-1403 (2023)
We present a methodology to handle the problem of planning sales goals. The methodology supports the retail manager to carry out simulations to find the most plausible goals for the future. One of the novel aspects of this methodology is that the ana
Externí odkaz:
https://doaj.org/article/ad1dd7e771954640a14c7b5fc612ad6d
Publikováno v:
IEEE Access, Vol 9, Pp 1154-1166 (2021)
Predicting an individual's risk of getting a stroke has been a research subject for many authors worldwide since it is a frequent illness and there is strong evidence that early awareness of having that risk can be beneficial for prevention and treat
Externí odkaz:
https://doaj.org/article/76ee79c608674afdacd2e8f6d7c8e86c
Autor:
Belisario Panay, Nelson Baloian, José A. Pino, Sergio Peñafiel, Jonathan Frez, Cristóbal Fuenzalida, Horacio Sanson, Gustavo Zurita
Publikováno v:
Sensors, Vol 21, Iss 5, p 1874 (2021)
Foot traffic, conversion rate, and total sales during a period of time may be considered to be important indicators of store performance. Forecasting them may allow for business managers plan stores operation in the near future in an efficient way. T
Externí odkaz:
https://doaj.org/article/891e72fa3b764cc2828936108a138eae
Autor:
Belisario Panay, Nelson Baloian, José A. Pino, Sergio Peñafiel, Horacio Sanson, Nicolas Bersano
Publikováno v:
Sensors, Vol 20, Iss 16, p 4392 (2020)
Although many authors have highlighted the importance of predicting people’s health costs to improve healthcare budget management, most of them do not address the frequent need to know the reasons behind this prediction, i.e., knowing the factors t
Externí odkaz:
https://doaj.org/article/049aab1cb60c434daeb88ecdeb565f17
Autor:
Belisario Panay, Nelson Baloian, José A. Pino, Sergio Peñafiel, Horacio Sanson, Nicolas Bersano
Publikováno v:
Proceedings, Vol 31, Iss 1, p 74 (2019)
People’s health care cost prediction is nowadays a valuable tool to improve accountability in health care. In this work, we study if an interpretable method can reach the performance of black-box methods for the problem of predicting health care co
Externí odkaz:
https://doaj.org/article/837d6e78689a460da0807beaf60e8a7a
Publikováno v:
IEEE Access, Vol 9, Pp 1154-1166 (2021)
Predicting an individual's risk of getting a stroke has been a research subject for many authors worldwide since it is a frequent illness and there is strong evidence that early awareness of having that risk can be beneficial for prevention and treat
Autor:
Horacio Sanson, Jonathan Frez, Gustavo Zurita, José A. Pino, Cristóbal Fuenzalida, Sergio Peñafiel, Nelson Baloian, Belisario Panay
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 5
Sensors, Vol 21, Iss 1874, p 1874 (2021)
Sensors
Volume 21
Issue 5
Sensors, Vol 21, Iss 1874, p 1874 (2021)
Foot traffic, conversion rate, and total sales during a period of time may be considered to be important indicators of store performance. Forecasting them may allow for business managers plan stores operation in the near future in an efficient way. T
Autor:
Horacio Sanson, Belisario Panay, José A. Pino, Nelson Baloian, Nicolas Bersano, Sergio Peñafiel
Publikováno v:
UCAmI
Proceedings, Vol 31, Iss 1, p 74 (2019)
Proceedings, Vol 31, Iss 1, p 74 (2019)
People’s health care cost prediction is nowadays a valuable tool to improve accountability in health care. In this work, we study if an interpretable method can reach the performance of black-box methods for the problem of predicting health care co
Publikováno v:
Expert Systems with Applications. 148:113262
Two approaches have traditionally been identified for developing artificial intelligence systems supporting decision-making: Machine Learning, which applies general techniques based on statistical analysis and optimization methods to extract informat
Autor:
Horacio Sanson, Nicolas Bersano
Publikováno v:
2018 20th International Conference on Advanced Communication Technology (ICACT).
This work focuses on the potential of artificial neural networks to classify biological signals in a healthcare setting, specifically in the estimation of blood pressure from photoplethysmography signal readings obtained via medical devices. This sig