activity
20192026
most citedA Novel Resampling Technique for Imbalanced Dataset Optimization

8 citations · 33 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2026

fEDM+: A Risk-Based Fuzzy Ethical Decision Making Framework with Principle-Level Explainability and Pluralistic Validation

Abeer Dyoub, Francesca A. Lisi

In a previous work, we introduced the fuzzy Ethical Decision-Making framework (fEDM), a risk-based ethical reasoning architecture grounded in fuzzy logic. The original model combin…

cs.AI2025

ff4ERA: A new Fuzzy Framework for Ethical Risk Assessment in AI

Abeer Dyoub, Ivan Letteri, Francesca A. Lisi

The emergence of Symbiotic AI (SAI) introduces new challenges to ethical decision-making as it deepens human-AI collaboration. As symbiosis grows, AI systems pose greater ethical r…

cs.AI2025

A Fuzzy Approach to the Specification, Verification and Validation of Risk-Based Ethical Decision Making Models

Abeer Dyoub, Francesca A. Lisi

The ontological and epistemic complexities inherent in the moral domain make it challenging to establish clear standards for evaluating the performance of a moral machine. In this…

cs.AI2025

Weighted Assumption Based Argumentation to reason about ethical principles and actions

Paolo Baldi, Fabio Aurelio D'Asaro, Abeer Dyoub +1

We augment Assumption Based Argumentation (ABA for short) with weighted argumentation. In a nutshell, we assign weights to arguments and then derive the weight of attacks between A…

cs.NE2023★ 5 cited

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,…

q-fin.TR2022★ 2 cited

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…