Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Fatma Nasoz"'
Autor:
Richard Van, Daniel Alvarez, Travis Mize, Sravani Gannavarapu, Lohitha Chintham Reddy, Fatma Nasoz, Mira V. Han
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background RNA sequencing combined with machine learning techniques has provided a modern approach to the molecular classification of cancer. Class predictors, reflecting the disease class, can be constructed for known tissue types using the
Externí odkaz:
https://doaj.org/article/1f53e28f104c412b8a2fb317eca5b915
Autor:
Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han, Robert A. Greenes, Kenneth G. Saag
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best modeling approach for BMD prediction. The genomic and phenotypic data of Osteopor
Externí odkaz:
https://doaj.org/article/d62fca4849fd4679a89037fdc1c465b7
Autor:
Robert A. Greenes, Fatma Nasoz, Kenneth G. Saag, Mira V. Han, Qing Wu, Jongyun Jung, Bibek Bhattarai
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Scientific Reports
The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best modeling approach for BMD prediction. The genomic and phenotypic data of Osteoporotic Frac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf8ce87560c67c55d0e73fdc0ce8636c
https://doaj.org/article/d62fca4849fd4679a89037fdc1c465b7
https://doaj.org/article/d62fca4849fd4679a89037fdc1c465b7
Publikováno v:
Calcif Tissue Int
The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. The genomic data of Osteoporotic Fractures in Men, cohort Stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fbea8f6800b0092b72599373cf7ded0
https://doi.org/10.1007/s00223-020-00734-y
https://doi.org/10.1007/s00223-020-00734-y
BackgroundThe study aimed to utilize machine learning (ML) approaches and genomic data to develop the prediction model for bone mineral density (BMD), and to identify the best modeling approach for BMD prediction.MethodThe genomic and phenotypic data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb5da51147a789f8c446b72e9dba7b87
https://doi.org/10.1101/2020.01.20.20018143
https://doi.org/10.1101/2020.01.20.20018143
The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. The genomic data of Osteoporotic Fractures in Men, cohort Stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78ac65d81017834e522b99e2114f5d2
https://doi.org/10.1101/2020.01.09.20016659
https://doi.org/10.1101/2020.01.09.20016659
Autor:
Fatma Nasoz, Shekhar Singh
Publikováno v:
CCWC
Emotions are a powerful tool in communication and one way that humans show their emotions is through their facial expressions. One of the challenging and powerful tasks in social communications is facial expression recognition, as in non-verbal commu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfaca13cafe8b21a7f7bbedc0fd5b3af
https://doi.org/10.1109/ccwc47524.2020.9031283
https://doi.org/10.1109/ccwc47524.2020.9031283
Autor:
Nishit Shrestha, Fatma Nasoz
Our study employs sentiment analysis to evaluate the compatibility of Amazon.com reviews with their corresponding ratings. Sentiment analysis is the task of identifying and classifying the sentiment expressed in a piece of text as being positive or n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51af1e20c1000b0d78d882e1f16db783
https://zenodo.org/record/2591182
https://zenodo.org/record/2591182
Autor:
Chandani Shrestha, Fatma Nasoz
Publikováno v:
Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration ISBN: 9783319585239
HCI (4)
HCI (4)
The purpose of this study is to develop a user-friendly web application that follows human computer interaction design guidelines and principles and is used to recognize patterns in datasets and to predict outputs of instances that it hasn’t previo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fda5847768366df168d2e5023e0ba10b
https://doi.org/10.1007/978-3-319-58524-6_35
https://doi.org/10.1007/978-3-319-58524-6_35
Publikováno v:
Cognition, Technology & Work. Feb2004, Vol. 6 Issue 1, p4-14. 11p.