Impact of transfer learning using local data on performance of a deep learning model for screening mammography
JJJ Condon, V Trinh, KA Hall, M Reintals… - Radiology: Artificial …, 2024 - pubs.rsna.org
“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
[HTML][HTML] Deep continual learning for medical call incidents text classification under the presence of dataset shifts
The aim of this work is to develop and evaluate a deep classifier that can effectively prioritize
Emergency Medical Call Incidents (EMCI) according to their life-threatening level under the …
Emergency Medical Call Incidents (EMCI) according to their life-threatening level under the …
[HTML][HTML] Pathophysiological Features in Electronic Medical Records Sustain Model Performance under Temporal Dataset Shift
Access to real-world data streams like electronic medical records (EMRs) has accelerated
the development of supervised machine learning (ML) models for clinical applications …
the development of supervised machine learning (ML) models for clinical applications …
Improving out-of-hospital incident severity assessment from changing clinical features with Deep Continual Learning
When developing Machine Learning models to support emergency medical triage, it is
important to consider how changes over time in the data distribution can negatively affect the …
important to consider how changes over time in the data distribution can negatively affect the …
Deeep Continual Multimodal Multitask Modells for Out-of-Hospital Emergency Medical Call Incidents Triage Support in the Presence of Dataset Shifts
P Ferri Borredà - 2024 - riunet.upv.es
[ES] El triaje de los incidentes de urgencias y emergencias extrahospitalarias representa un
reto difícil, debido a las limitaciones temporales ya la incertidumbre. Además, errores en …
reto difícil, debido a las limitaciones temporales ya la incertidumbre. Además, errores en …
Improving Outcomes in Machine Learning and Data-Driven Learning Systems using Structural Causal Models
HM Mbogu - 2023 - shareok.org
The field of causal inference has experienced rapid growth and development in recent
years. Its significance in addressing a diverse array of problems and its relevance across …
years. Its significance in addressing a diverse array of problems and its relevance across …
Analysis of Markov Blanket Based Feature Ranking for Android Malware Detection
Y Yusfrizal, A Syahputra, Y Tanjung - Journal of Artificial …, 2024 - ioinformatic.org
The ubiquity of Android applications in our daily lives has brought forth an indispensable
need for robust app security mechanisms. Malware-infested applications not only jeopardize …
need for robust app security mechanisms. Malware-infested applications not only jeopardize …