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Since most of these papers are published, the copyright has been transferred to the respective publishing houses.Therefore, the papers cannot be duplicated for commercial purposes.

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For an up to date list please see Google Scholar (cited by) (by year) or DBLP (by type) (by year)

Journals
  1. F. Folino, G. Folino, M. Guarascio, F. S. Pisani, L. Pontieri, On learning effective ensembles of deep neural networks for intrusion detection
    Information Fusion, Elsevier, pp. 48-69, vol.72, 2021. PDF Draft

  2. M. Guarascio, G Folino, F Chiaravalloti, S Gabriele, A Procopio, P. Sabatino, A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources
    IEEE Transactions on Geoscience and Remote Sensing, IEEE, 2020. PDF Draft

  3. G. Folino, F. S. Pisani, L. Pontieri, A GP-based ensemble classification framework for time-changing streams of intrusion detection data
    Soft Computing, Springer, pp. 17541-17560, vol.24 (23), August 2020. PDF Draft

  4. G. Folino, M. Guarascio, G. Papuzzo, Exploiting Fractal Dimension and a Distributed Evolutionary Approach to Classify Data Streams with Concept Drifts
    Applied Soft Computing, Elsevier, pp. 284-297, Vol. 75, February 2019. PDF Draft

  5. G. Folino, G. A. Trunfio, Editorial, Special issue on evolutionary multi-objective optimization and applications in big data, Applied Soft Computing
    Elsevier, Vol. 69, pp 816-817, August 2018. PDF Draft

  6. M. A. Haeri, M. M. Ebadzadeh, G. Folino, Statistical genetic programming for symbolic regression
    Applied Soft Computing, Elsevier, Vol. 60, pp 447-469, November 2017. PDF Draft

  7. G. Folino, F. S. Pisani, Evolving Meta-Ensemble of Classifiers for Handling Incomplete and Unbalanced Datasets in the Cyber security Domain,
    Applied Soft Computing, Elsevier, 2016, pp. 179-190, Vol. 47, October 2016. PDF Draft

  8. G. Folino, P. Sabatino, Ensemble based Collaborative and Distributed Intrusion Detection Systems: A Survey.
    Journal of Network and Computer Applications, Elsevier, pp 1-16, Vol. 66, May 2016. PDF Draft

  9. M. A. Haeri, M. M. Ebadzadeh, G. Folino, Improving GP generalization: a variance-based layered learning approach
    Genetic Programming and Evolvable Machines, Springer, Vol. 16, pp 27-55, March 2015. PDF Draft

  10. G. Folino, F. S. Pisani, Automatic offloading of mobile applications into the cloud by means of genetic programming,
    Applied Soft Computing, Elsevier, 25, pp. 253-265, 2014. PDF Draft

  11. C. De Stefano, F. Fontanella, G. Folino, A. Scotto di Freca,Pruning GP-Based Classifier Ensembles by Bayesian Networks
    Information Sciences, Elsevier, Vol. 258, pp 200-216, 2014. PDF Draft

  12. G. Folino, C. Mastroianni, S. Mostaghim: Preface: nature inspired solutions for high performance computing,
    Natural Computing, Springer, 12(1): 27-28, March 2013.

  13. F. Gori, S.G. Tringe, G. Folino, S.A.F.T. van Hijum, H.J.M.O. den Camp, M.S.M. Jetten, E. Marchiori, Differences in sequencing technologies improve the retrieval of anammox bacterial genome from metagenomes
    BMC genomics 14 (7), 2013. (Open Access)

  14. F. Gori, G. Folino, M. S.M. Jetten, and E. Marchiori, MTR: Taxonomic annotation of short metagenomic reads using clustering at multiple taxonomic ranks,
    Bioinformatics, Oxford University Press, Vol. 27, Issue 2, pp. 196-203, 2011. (Open Access)

  15. G. Folino, C. Mastroianni: Preface: Bio-Inspired Optimization Techniques for High Performance Computing,
    New Generation Computing, Springer, vol. 29, Issue 2, pp 125-128, April 2011.

  16. Shah A.A., Folino G., Krasnogor N., Towards High-Throughput, Multi-Criteria Protein Structure Comparison and Analysis,
    IEEE Transactions on NanoBioscience, Vol. 9, Issue 2, pp. 144-155, 2010. PDF Draft

  17. G. Folino, C. Mastroianni, Bio-Inspired Algorithms for Distributed Systems,
    Future Generation Computer Systems, Elsevier Science, vol. 26, Issue 6, pp 835-837, January 2010.

  18. Folino G., Pizzuti C., Spezzano G., An Ensemble-based Evolutionary Framework for coping with Distributed Intrusion Detection,
    Genetic Programming and Evolvable Machines, Springer, Volume 11, Number 2, June 2010. PDF Draft

  19. Folino G., Forestiero A., Papuzzo G., Spezzano G., A Grid Portal for Solving Geoscience Problems using Distributed Knowledge Discovery Service,
    Future Generation Computer Systems, Elsevier, vol. 26, Issue 1, pp 87-96, January 2010. PDF Draft

  20. Folino, G., Forestiero A., Spezzano G: An Adaptive Flocking Algorithm for Performing Approximate Clustering.,
    Information Sciences (Inf. Sci.), Elsevier, Vol. 179, Issue 18, August 2009. PDF Draft

  21. Folino G., Pizzuti C., Spezzano G., Training Distributed GP Ensemble with a Selective Algorithm based on Clustering and Pruning for Pattern Classification,
    IEEE Transactions on Evolutionary Computation, Vol. 12, Issue 4, pp. 458-468, August 2008. PDF Draft

  22. Angiulli F., Folino G., Distributed Nearest Neighbor Based Condensation of Very Large Datasets,
    IEEE Transactions on Knowledge and Data Engineering, vol. 19, No. 12, pp. 1593-1606, Decembre 2007 (Featured article from the December issue). PDF Draft

  23. Folino G., Spezzano G., An Autonomic Tool for Building Self-Organizing Grid-enabled Applications,
    Future Generation Computer System, Elsevier, Volume 23, Issue 5, Pages 671-679, June 2007. PDF Draft

  24. Folino G., Pizzuti C., Spezzano G., GP Ensembles for Large Scale Data Classification,
    IEEE Transactions on Evolutionary Computation, vol. 10, No. 5, pp. 604- 616, October 2006. PDF Draft

  25. Folino G., Forestiero A., Spezzano G., A Jxta based Asynchronous Peer-to-Peer Implementation of Genetic Programming,
    Journal of Software, Academy Publisher, Vol. 1, N. 2, pp. 12-23, August 2006. PDF Draft

  26. Folino G., Mendicino G., Senatore A., Spezzano G., Straface S., A model based on cellular automata for the parallel simulation of 3D unsaturated flow,
    Parallel Computing, vol. 32, No. 5-6, pp. 357-376, June 2006. PDF Draft

  27. Folino G., Forestiero A., Papuzzo G., Spezzano G., MOSE': a Grid-enabled Software Platform to Solve Geoprocessing Problems,
    Il Nuovo Cimento, Vol. 28 C, N.2, Marzo-Aprile 2005.

  28. Folino G., Pizzuti C., Spezzano G., A Scalable Cellular Implementation of Parallel Genetic Programming,
    IEEE Transactions on Evolutionary Computation, Vol. 7, No. 1, pp. 37-53, February 2003. PDF Draft

  29. Folino G., Pizzuti C., Spezzano G., Parallel Hybrid Method for SAT that Couples Genetic Algorithms and Local Search,
    IEEE Transactions on Evolutionary Computation, vol.5, no. 4, pp. 323-334, August 2001. PDF Draft