5 papers
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 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…
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…
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…
Federated Learning under Attack: Improving Gradient Inversion for Batch of Images
Luiz Leite, Yuri Santo, Bruno L. Dalmazo +1
Federated Learning (FL) has emerged as a machine learning approach able to preserve the privacy of user's data. Applying FL, clients train machine learning models on a local datase…