Similar Papers

Paper Title
Journal
Date
Author
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques
Simran Saggu ... Laura Duncan
BMC Medical Informatics and Decision Making | VOL. 24
Simran Saggu, et. al.Simran Saggu ... Laura Duncan
08 Feb 2024
Abstract 1922: Application of an interpretable graph neural network to predict gene expression signatures associated with tertiary lymphoid structures in histopathological images
Ciyue Shen ... Robert Egger
Cancer Research | VOL. 82
Ciyue Shen, et. al.Ciyue Shen ... Robert Egger
15 Jun 2022
The Graph Neural Network Model
F Scarselli ... Ah Chung Tsoi
IEEE Transactions on Neural Networks | VOL. 20
F Scarselli, et. al.F Scarselli ... Ah Chung Tsoi
09 Dec 2008
Cuproptosis gene-related, neural network-based prognosis prediction and drug-target prediction for KIRC.
Yixin Liu ... Xianjin Wang
Cancer medicine | VOL. 13
Yixin Liu, et. al.Yixin Liu ... Xianjin Wang
22 Dec 2023
View more papers

More From: Knowledge and Information Systems

Paper Title
Journal
Date
Author
Implicit knowledge-augmented prompting for commonsense explanation generation
Yan Ge ... Akiyoshi Matono
Knowledge and Information Systems | VOL. -
Yan Ge, et. al.Yan Ge ... Akiyoshi Matono
16 Jan 2025
Enhanced multimodal recommendation systems through reviews integration
Hong Fang ... Leiyuxin Sha
Knowledge and Information Systems | VOL. -
Hong Fang, et. al.Hong Fang ... Leiyuxin Sha
13 Jan 2025
Machine learning and metaheuristic optimization algorithms for feature selection and botnet attack detection
Mahdieh Maazalahi ... Soodeh Hosseini
Knowledge and Information Systems | VOL. -
Mahdieh Maazalahi, et. al.Mahdieh Maazalahi ... Soodeh Hosseini
13 Jan 2025
Fairness-constrained multigroup influence maximization
Zizhen Zhang ... Yuqing Zhu
Knowledge and Information Systems | VOL. -
Zizhen Zhang, et. al.Zizhen Zhang ... Yuqing Zhu
13 Jan 2025
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.