An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attackby Kunal Bhatnagar, Sagana…
Optimizing Fintech Marketing: A Comparative Study of Logistic Regression and XGBoostby Sahar Yarmohammadtoosky Dinesh Chowdary…
Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplicationby Shekhar Madhav Khairnar, Huu Phong…
EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysisby…
Adopting Explainable-AI to investigate the impact of urban morphology design on energy and environmental performance…
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial predictionby Xiayin Lou, Peng…
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detectionby…
Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysisby Oscar…
Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosisby Huadong Pang, Li Zhou, Yiping…
Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Databaseby…