From the 1 of 3 linked papers with an AI index.
3 papers
Improving Network Anomaly Detection via Choquet-Integral-Based Feature Aggregation
Abreu Quevedo, Roger Immich, Giancarlo Lucca +2
This work investigates a generalized Choquet-integral-based feature aggregation framework to improve anomaly detection in high-dimensional network traffic data. The approach combin…
On the Impact of Entropy-based Features
Iuri Mundstock, Abreu Quevedo, Jéferson Campos Nobre +3
Network anomaly detection is increasingly challenging due to the growing diversity and variability of traffic patterns, which are not always well captured by traditional statistica…
Decoding Market Emotion from Blockchain Activity: A Data-Driven Sentiment Classifier
Arthur G. Bubolz, Abreu Quevedo, Giancarlo Lucca +3
The paper proposes a machine‑learning system that classifies Bitcoin market sentiment by integrating on‑chain transaction data, price history, and daily Twitter sentiment, achievin…