Optimizing Multi-variable Time Series Forecasting Using Metaheuristics. - Francesco Zito; Vincenzo Cutello; Mario Pavone (MIC, 2022)

A Novel Reverse Engineering Approach for Gene Regulatory Networks. - Francesco Zito; Vincenzo Cutello; Mario Pavone (COMPLEX NETWORKS (1), 2022)

A Fast Methodology to Find Decisively Strong Association Rules (DSR) by Mining Datasets of Security Records. - Claudia Cavallaro; Vincenzo Cutello; Mario Pavone; Francesco Zito (OLA, 2023)

Deep Learning and Metaheuristic for Multivariate Time-Series Forecasting. - Francesco Zito; Vincenzo Cutello; Mario Pavone (SOCO (1), 2023)

A Tabu Search Algorithm for the Map Labeling Problem. - Claudia Cavallaro; Vincenzo Cutello; Mario Pavone; Francesco Zito (WIVACE, 2023)

A Machine Learning Approach to Simulate Gene Expression and Infer Gene Regulatory Networks. - Francesco Zito; Vincenzo Cutello; Mario Pavone (Entropy, 2023)

A General-Purpose Neural Architecture Search Algorithm for Building Deep Neural Networks. - Francesco Zito; Vincenzo Cutello; Mario Pavone (MIC (2), 2024)

Inferring a Gene Regulatory Network from Gene Expression Data. An Overview of Best Methods and a Reverse Engineering Approach. - Vincenzo Cutello; Mario Pavone; Francesco Zito (From Computational Logic to Computational Biology, 2024)

A Real-Time Adaptive Tabu Search for Handling Zoom In/Out in Map Labeling Problem. - Vincenzo Cutello; Alessio Mezzina; Mario Pavone; Francesco Zito (LION, 2024)

Group Dynamics in Memory-Enhanced Ant Colonies: The Influence of Colony Division on a Maze Navigation Problem. - Claudia Cavallaro; Carolina Crespi; Vincenzo Cutello; Mario Pavone; Francesco Zito (Algorithms, 2024)

Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques. - Claudia Cavallaro; Vincenzo Cutello; Mario Pavone; Francesco Zito (Frontiers Big Data, 2024)

Machine Learning and Genetic Algorithms: A case study on image reconstruction. - Claudia Cavallaro; Vincenzo Cutello; Mario Pavone; Francesco Zito (Knowl. Based Syst., 2024)

Improving an immune-inspired algorithm by linear regression: A case study on network reliability. - Vincenzo Cutello; Mario Pavone; Francesco Zito (Knowl. Based Syst., 2024)

Data-driven forecasting and its role in enhanced decision-making. - Francesco Zito; Vincenzo Cutello; Mario Pavone (Eng. Appl. Artif. Intell., 2025)

Metaheuristics in automated machine learning: Strategies for optimization. - Francesco Zito; El-Ghazali Talbi; Claudia Cavallaro; Vincenzo Cutello; Mario Pavone (Intell. Syst. Appl., 2025)