Machine learning could help predict how people with depression respond to treatment

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...
Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
IEEE

SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation

Abstract: Scanning electron microscopy (SEM) plays an important role in providing high-resolution imaging in various fields, including industrial chip manufacturing, materials science, and nanoscale ...
University of Delaware

Shaping the future of responsible AI

UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...
Ophthalmology Advisor

Multimodal AI Model Can Predict Intimate Partner Violence

A multimodal artificial intelligence (AI) model can identify patients at risk of intimate partner violence (IPV) years before they seek help.
Scientific Research Publishing

AI and Risks of Hiring Bias Due to Gender Imbalances in Historical Data ()

Unless underlying data are corrected, the use of Artificial Intelligence (AI) in organizational hiring processes holds the ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
SciELO

CLASSIFICATION OF BANANA RIPENESS DEGREE USING YOLO-V8

The ripeness level of bananas is a key factor for both producers and consumers, affecting the entire logistics chain of the fruit and its final price. Artificial intelligence techniques can be applied ...
IEEE

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...