Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Anusha Ihalapathirana"'
Autor:
Anusha Ihalapathirana, Konstantina Chalkou, Pekka Siirtola, Satu Tamminen, Gunjan Chandra, Pascal Benkert, Jens Kuhle, Georgia Salanti, Juha Röning
Publikováno v:
Informatics in Medicine Unlocked, Vol 42, Iss , Pp 101349- (2023)
Artificial intelligence (AI) is increasingly being used to improve patient care and management. In this paper, we propose explainable AI (XAI) models for predicting severe hypoglycemia (SH) and diabetic ketoacidosis (DKA) episodes in adults with type
Externí odkaz:
https://doaj.org/article/7f195375cdf64be5aa582f9f95e02d8e
Publikováno v:
Sensors, Vol 23, Iss 3, p 1598 (2023)
This study aims to predict emotions using biosignals collected via wrist-worn sensor and evaluate the performance of different prediction models. Two dimensions of emotions were considered: valence and arousal. The data collected by the sensor were u
Externí odkaz:
https://doaj.org/article/a54730aef25e4edc916ca9d4040fc6ba
Autor:
Nadeeshani Pathirennehelage, Surangika Ranathunga, Riyafa Abdul Hameed, Gihan Dias, Maryam Ziyad Mohamed, Sanath Jayasena, Anusha Ihalapathirana
Publikováno v:
2017 Moratuwa Engineering Research Conference (MERCon).
A parallel corpus aligned at both sentence and word level is an important prerequisite in statistical machine translation. However, manual creation of such a parallel corpus is time consuming, and requires experts fluent in both languages. This paper