Search Results for author:
Found 5 papers, 2 papers with code
Semi-Supervised Anomaly Detection for the Determination of Vehicle Hijacking Tweets
The CBLOF method was also able to obtain a F1-Score of 0. 8, whereas the KNN produced a 0. 78.
Semi-supervised Anomaly Detection
Supervised Anomaly Detection
+1
A Twitter-Driven Deep Learning Mechanism for the Determination of Vehicle Hijacking Spots in Cities
This work is aimed at developing a map depicting hijacking spots in a city by using Twitter data.
The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
Therefore, this paper implements unsupervised learning techniques to classify the Galaxy Zoo DECaLS dataset.
A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
The predicted results are then used to generate accuracy metrics per decision tree question to determine architecture performance.
A Comparative Evaluation of Population-based Optimization Algorithms for Workflow Scheduling in Cloud-Fog Environments
This work also provides the motivational groundwork for the weighted sum objective function for the workflow scheduling problem and develops this function based on three objectives: makespan, cost and energy.
