Deep Learning for Outlier Detection on Tabular and Image Data | by W Brett Kennedy | Jan, 2025
The challenges and promises of deep learning for outlier detection, including self-supervised learning techniques29 min read·16 hours agoIn the last...
Detection
Hybrid bagging and boosting with SHAP based feature selection for enhanced predictive modeling in intrusion detection systems
The result section demonstrates the proposed model’s efficacy in predicting reasonably accurate outcomes across various test scenarios. Key performance metrics,...
Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty
ML and SVMThe rapid development of communication and information technology in modern society progressively produces data at an amazing pace....
Intelligent agricultural robotic detection system for greenhouse tomato leaf diseases using soft computing techniques and deep learning
This section comprises three subsections, each of which explains the different components involved in developing an agricultural robot for tomato...
MODEL&CO: Exoplanet Detection In Angular Differential Imaging By Learning Across Multiple Observations
Detection maps for five configurations of simulated point-like sources whose locations are pointed out by circles. Reconstruction results b𝒙 obtained...
Identifying alternately poisoning attacks in federated learning online using trajectory anomaly detection method
We conducted experimental evaluations within the federated learning framework FedAvg to assess the effectiveness of our method in detecting covert...
