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09/18/2023
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification
An ugly duckling is an obviously different skin lesion from surrounding ...
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04/28/2023
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems
This paper presents the FlowTransformer framework, a novel approach for ...
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12/15/2022
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
Metric learning aims to learn distances from the data, which enhances th...
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09/28/2022
Efficient block contrastive learning via parameter-free meta-node approximation
Contrastive learning has recently achieved remarkable success in many do...
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08/25/2022
Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data
With growing credit card transaction volumes, the fraud percentages are ...
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08/25/2022
Credit card fraud detection - Classifier selection strategy
Machine learning has opened up new tools for financial fraud detection. ...
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08/20/2022
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection
Credit cards play an exploding role in modern economies. Its popularity ...
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04/27/2022
SCGC : Self-Supervised Contrastive Graph Clustering
Graph clustering discovers groups or communities within networks. Deep l...
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10/21/2021