2022

• F. Cicirelli, L. Nigro. "Analyzing Stochastic Reward Nets by model checking and parallel simulation". J. Simulation Modelling Practice and Theory, vol. 116, April 2022, https://doi.org/10.1016/j.simpat.2021.102467, on-line published December 2021.
• F. Cicirelli, L. Nigro, F. Pupo. "Performance of Parallel K-Means Based on Theatre". Int. Congress on Information and Communication Technology (ICICT) 2022, 21-24 February, London (UK). Springer LNNS, Vol. 4, (Eds. Xin-She Yang, Simon Sherrat, Nilanjan Day, Amit Joshi) ISSN: 2367-3370. 2022.
• L. Nigro. "Performance of Parallel K-Means Algorithms in Java". MDPI Journal Algorithms, 15, 117, https://doi.org/10.3390/a15040117, 2022.
• L. Nigro, F. Cicirelli, P. Franti. "Efficient and Reliable Clustering by Parallel Random Swap Algorithm". 26th Int. Symposium on Distributed Simulation and Real Time Applications (DSRT 2022), 26-28 September, Alès, France, 2022.
• L. Nigro, F. Cicirelli. "Parallel Clustering Method based on Density Peaks". Sixth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4 2022), London, 26-27 August, Springer LNNS, ISSN:2367-3370, 2022.
• L. Nigro, F. Cicirelli. "Fast and Accurate K-means Clustering based on Density Peaks". Int. Conf. on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022), September 25-26, Proc. by Springer LNNS, 2022.
• L. Nigro, F. Cicirelli. "Improving K-means by an Agglomerative Method and Density Peaks". 3rd Congress on Intelligent Systems (CIS 2022), September 5-6, Proc. by Springer LNNS, 2022.