Exploiting Emotional and Moral Knowledge for Moral Values Detection in Text
ABSTRACT Despite the remarkable success of language models, they still encounter difficulties in accurately performing tasks related to morality intelligence. Moral values vary across cultures and contexts, and are highly subjective. This work focuses on evaluating the ability of transformer models to assess morality in text by exploiting their ...
Anny Álvarez +2 more
wiley +1 more source
Visit-level prediction of missed HIV appointments using machine learning and transformer-based models in Uganda. [PDF]
Mirugwe A +11 more
europepmc +1 more source
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani +3 more
wiley +1 more source
IRESeek: structure-informed deep learning method for accurate identification of internal ribosome entry sites in circular RNAs. [PDF]
Zhang F +6 more
europepmc +1 more source
Abstract figure legend Graphical representation of methods. We implemented three biventricular geometric models (Zenger et al., 2020) with rule‐based myocardial fibre orientations (Bayer et al., 2018). We evaluated variability in the fibre orientation via four sets of parameter distributions to determine the role of the primary and imbrication angles ...
Lindsay C. R. Tanner +8 more
wiley +1 more source
All-fibre-coupled terahertz single-pixel imaging for biomedical applications. [PDF]
Mou S +9 more
europepmc +1 more source
Toward Using Equation Discovery to Generate Parameterizations of Biogeochemical Processes
Abstract Equation discovery methods, such as symbolic regression, show great promise to generate parameterizations of biogeochemical processes in an objective data‐driven manner, yet remain untested in ocean biogeochemistry. Here, we apply symbolic regression to a state‐of‐the‐art ocean biogeochemical model, using it as a surrogate data set to ...
Chengwang Wang +2 more
wiley +1 more source
Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging. [PDF]
Zhou D, Gao S, Huang X.
europepmc +1 more source
Beyond Area Under the Receiver Operating Characteristic Curve: Evaluating Predictive Performance Metrics Under Class Imbalance in Real-World Clinical Data. [PDF]
Ventura VDGJ +11 more
europepmc +1 more source
An optimized gradient boosting framework for IoT intrusion detection: a comprehensive evaluation on the CICIoT2023 dataset. [PDF]
Almahaqeri SA +5 more
europepmc +1 more source

