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Found 6 papers, 1 papers with code
Latest Trends in Artificial Intelligence Technology: A Scoping Review
The results of this review indicate that creating labeled datasets is very laborious, and solutions exploiting unsupervised or semi-supervised learning technologies are more and more researched.
Improved Difference Images for Change Detection Classifiers in SAR Imagery Using Deep Learning
Satellite-based Synthetic Aperture Radar (SAR) images can be used as a source of remote sensed imagery regardless of cloud cover and day-night cycle.
Chromatic and spatial analysis of one-pixel attacks against an image classifier
In this research, the successful and unsuccessful attacks are studied in more detail to illustrate the working mechanisms of a one-pixel attack created using differential evolution.
One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer
Computer vision and machine learning can be used to automate various tasks in cancer diagnostic and detection.
Anomaly Detection Framework Using Rule Extraction for Efficient Intrusion Detection
Huge datasets in cyber security, such as network traffic logs, can be analyzed using machine learning and data mining methods.
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis
In this research, we used the recently developed diffusion map for dimensionality reduction in conjunction with spectral clustering.
