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20212026
most citedNeuro-inspired edge feature fusion using Choquet integrals

43 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

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…

cs.LG2026

Decoding Market Emotion from Blockchain Activity: A Data-Driven Sentiment Classifier

Arthur G. Bubolz, Abreu Quevedo, Giancarlo Lucca +3

The growing use of Bitcoin as a decentralized digital asset and investment tool has sparked strong interest in understanding its market behavior. This study presents a new approach…

cs.AI2025

Impact of Data-Oriented and Object-Oriented Design on Performance and Cache Utilization with Artificial Intelligence Algorithms in Multi-Threaded CPUs

Gabriel M. Arantes, Giancarlo Lucca, Eduardo N. Borges +3

The growing performance gap between multi-core CPUs and main memory necessitates hardware-aware software design paradigms. This study provides a comprehensive performance analysis…

q-fin.CP2025

Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements

Gabriel M. Arantes, Richard F. Pinto, Bruno L. Dalmazo +5

Binary options trading is often marketed as a field where predictive models can generate consistent profits. However, the inherent randomness and stochastic nature of binary option…

cs.CV2021★ 43 cited

Neuro-inspired edge feature fusion using Choquet integrals

Cedric Marco-Detchart, Giancarlo Lucca, Carlos Lopez-Molina +3

It is known that the human visual system performs a hierarchical information process in which early vision cues (or primitives) are fused in the visual cortex to compose complex sh…