8 citations · 24 across the 8 of their papers we have counts for
8 papers
Dataset Optimization for Chronic Disease Prediction with Bio-Inspired Feature Selection
Abeer Dyoub, Ivan Letteri
In this study, we investigated the application of bio-inspired optimization algorithms, including Genetic Algorithm, Particle Swarm Optimization, and Whale Optimization Algorithm,…
Secured Fiscal Credit Model: Multi-Agent Systems And Decentralized Autonomous Organisations For Tax Credit's Tracking
Giovanni De Gasperis, Sante Dino Facchini, Ivan Letteri
Tax incentives and fiscal bonuses have had a significant impact on the Italian economy over the past decade. In particular, the "Superbonus 110" tax relief in 2020, offering a gene…
VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning
Ivan Letteri
Volatility-based trading strategies have attracted a lot of attention in financial markets due to their ability to capture opportunities for profit from market dynamics. In this ar…
DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks
Ivan Letteri, Giuseppe Della Penna, Giovanni De Gasperis +1
In general, traders test their trading strategies by applying them on the historical market data (backtesting), and then apply to the future trades the strategy that achieved the m…
A Stock Trading System for a Medium Volatile Asset using Multi Layer Perceptron
Ivan Letteri, Giuseppe Della Penna, Giovanni De Gasperis +1
Stock market forecasting is a lucrative field of interest with promising profits but not without its difficulties and for some people could be even causes of failure. Financial mar…
A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues
Abeer Dyoub, Stefania Costantini, Ivan Letteri +1
Dialogue Systems are tools designed for various practical purposes concerning human-machine interaction. These systems should be built on ethical foundations because their behavior…
A Novel Resampling Technique for Imbalanced Dataset Optimization
Ivan Letteri, Antonio Di Cecco, Abeer Dyoub +1
Despite the enormous amount of data, particular events of interest can still be quite rare. Classification of rare events is a common problem in many domains, such as fraudulent tr…
Dataset Optimization Strategies for MalwareTraffic Detection
Ivan Letteri, Antonio Di Cecco, Giuseppe Della Penna
Machine learning is rapidly becoming one of the most important technology for malware traffic detection, since the continuous evolution of malware requires a constant adaptation an…