Botnet Detection in Software Defined Networks by Deep Learning Techniques. - Ivan Letteri; Giuseppe Della Penna; Giovanni De Gasperis (CSS, 2018)

Performance of Botnet Detection by Neural Networks in Software-Defined Networks. - Ivan Letteri; Massimo Del Rosso; Pasquale Caianiello; Dajana Cassioli (ITASEC, 2018)

Feature Selection Strategies for HTTP Botnet Traffic Detection. - Ivan Letteri; Giuseppe Della Penna; Pasquale Caianiello (EuroS&P Workshops, 2019)

An ontology to improve the first aid service quality. - Lorenzo De Lauretis; Stefania Costantini; Ivan Letteri (SMC, 2019)

Security in the internet of things: botnet detection in software-defined networks by deep learning techniques. - Ivan Letteri; Giuseppe Della Penna; Giovanni De Gasperis (Int. J. High Perform. Comput. Netw., 2019)

Logic-based Machine Learning for Transparent Ethical Agents. - Abeer Dyoub; Stefania Costantini; Francesca Alessandra Lisi; Ivan Letteri (CILC, 2020)

MTA-KDD'19: A Dataset for Malware Traffic Detection. - Ivan Letteri; Giuseppe Della Penna; Luca Di Vita; Maria Teresa Grifa (ITASEC, 2020)

Dataset Optimization Strategies for MalwareTraffic Detection. - Ivan Letteri; Antonio Di Cecco; Giuseppe Della Penna (CoRR, 2020)

A Novel Resampling Technique for Imbalanced Dataset Optimization. - Ivan Letteri; Antonio Di Cecco; Abeer Dyoub; Giuseppe Della Penna (CoRR, 2020)

Ethical Monitoring and Evaluation of Dialogues with a MAS. - Abeer Dyoub; Stefania Costantini; Francesca A. Lisi; Ivan Letteri (CILC, 2021)

Imbalanced Dataset Optimization with New Resampling Techniques. - Ivan Letteri; Antonio Di Cecco; Abeer Dyoub; Giuseppe Della Penna (IntelliSys (2), 2021)

New Optimization Approaches in Malware Traffic Analysis. - Ivan Letteri; Antonio Di Cecco; Giuseppe Della Penna (LOD, 2021)

A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues. - Abeer Dyoub; Stefania Costantini; Ivan Letteri; Francesca A. Lisi (ICLP Technical Communications, 2021)

Care Robots Learning Rules of Ethical Behavior Under the Supervision of an Ethical Teacher (Short paper). - Abeer Dyoub; Stefania Costantini; Ivan Letteri (HYDRA/RCRA@LPNMR, 2022)

A Stock Trading System for a Medium Volatile Asset using Multi Layer Perceptron. - Ivan Letteri; Giuseppe Della Penna; Giovanni De Gasperis; Abeer Dyoub (CoRR, 2022)

DNN-ForwardTesting: A New Trading Strategy Validation using Statistical Timeseries Analysis and Deep Neural Networks. - Ivan Letteri; Giuseppe Della Penna; Giovanni De Gasperis; Abeer Dyoub (CoRR, 2022)

Trading Strategy Validation Using Forwardtesting with Deep Neural Networks. - Ivan Letteri; Giuseppe Della Penna; Giovanni De Gasperis; Abeer Dyoub (FEMIB, 2023)

AITA: A new framework for Trading Forward Testing with an Artificial Intelligence Engine. - Ivan Letteri (Ital-IA, 2023)

First Evaluation of an Adaptive Tool Supporting Formative Assessment in Data Science Courses. - Annalisa Angelone; Ivan Letteri; Pierpaolo Vittorini (MIS4TEL, 2023)

Secured Fiscal Credit Model: Multi-Agent Systems And Decentralized Autonomous Organisations For Tax Credit's Tracking. - Giovanni De Gasperis; Sante Dino Facchini; Ivan Letteri (CoRR, 2023)

Extension of constraint-procedural logic-generated environments for deep Q-learning agent training and benchmarking. - Giovanni De Gasperis; Stefania Costantini; Andrea Rafanelli; Patrizio Migliarini; Ivan Letteri; Abeer Dyoub (J. Log. Comput., 2023)

Stock Market Forecasting Using Machine Learning Models Through Volatility-Driven Trading Strategies. - Ivan Letteri (FEMIB, 2024)

VolTS Augmented: An Improvement of a Volatility-based Trading System to Forecast Stock Markets Trends. - Ivan Letteri (Ital-IA, 2024)

Leveraging Bio-Inspired Optimization Algorithms for Advanced Feature Selection in Chronic Disease Datasets. - Ivan Letteri; Abeer Dyoub (Ital-IA, 2024)

Automatic Generation of Learning Material for Residential Students in ED: Prompt Engineering and Evaluation. - Antonella Fontana; Gaia Sinatti; Sara Cicchinelli; Silvano Junior Santini; Valerio Caputo; Ivan Letteri; Pierpaolo Vittorini; Clara Balsano (ITHET, 2024)

Exploring the Impact of LLM-Generated Feedback: Evaluation from Professors and Students in Data Science Courses. - Ivan Letteri; Pierpaolo Vittorini (MIS4TEL, 2024)

Dataset Optimization for Chronic Disease Prediction with Bio-Inspired Feature Selection. - Abeer Dyoub; Ivan Letteri (CoRR, 2024)

A Framework for Predictive Directional Trading Based on Volatility and Causal Inference. - Ivan Letteri (CoRR, 2025)

A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books. - Ivan Letteri (CoRR, 2025)

ff4ERA: A new Fuzzy Framework for Ethical Risk Assessment in AI. - Abeer Dyoub; Ivan Letteri; Francesca A. Lisi (CoRR, 2025)