S1. L. Bianchi, C. Liti, G. Liuzzi, V. Piccialli, C. Salvatore (2020). Improving P300 Speller performance by means of optimization and machine learning, submitted to Annals of Operations Research, arxiv preprint 2007.06411.
S2. P. Mancuso, V. Piccialli, A. Sudoso (2020). A machine learning approach for forecasting hierarchical time series, submitted to Expert Systems with Applications, arxiv preprint 2006.00630.
S3. G. Liuzzi, M. Locatelli, V. Piccialli, S. Rass (2020). Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems, submitted Computational Optimization and Applications, arxiv preprint 2002.12599 .
S4. A. Sudoso and V. Piccialli (2019). Non-Intrusive Load Monitoring with an Attention-based Deep Neural Network, submitted to IEEE Transactions on Smart Grids arxiv preprint 1912.00759 .
J32.C. Castel, M. Bozorg, A. Ramirez Santos, B. Addis, V. Piccialli, E. Favre (2020). Optimal process design of biogas upgrading membrane systems: polymeric vs high performance inorganic membrane materials, Chemical Engineering Science, vol. 225, art. no. 115769 .
J31. M. Cosmi, G. Oriolo, V. Piccialli and P. Ventura (2019). Single Courier Single Restaurant Meal Delivery (Without Routing), Operations Research Letters, vol. 47(6), pp. 537--541.
J30. M. Bozorg, A. Ramirez Santos, B. Addis, V. Piccialli, C. Castel, I. Pinnau, E. Favre (2019). Polymeric membrane materials for nitrogen production from air: a process synthesis study, Chemical Engineering Science, vol. 207, pp. 1196--1213, https://doi.org/10.1016/j.ces.2019.07.029.
J29. L. Bianchi, C. Liti, and V. Piccialli (2019). A new early stopping method for P300 spellers, IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 27(8), pp. 1635--1643, https://doi.org/10.1109/TNSRE.2019.2924080.
J28. G. Liuzzi, M. Locatelli, V. Piccialli (2019). A new branch-and-bound algorithm for standard quadratic programming problems, Optimization Methods and Software, vol. 34(1), pp. 79 - 97, https://doi.org/10.1080/10556788.2017.1341504.
J27. S. Burer, and V. Piccialli (2019). Three Methods for robust grading, EJOR, vol. 272(1), 364--371 https://doi.org/10.1016/j.ejor.2018.06.019.
J26. A. Ramirez-Santos, M. Bozorg, B. Addis, V. Piccialli, C. Castel, E. Favre (2018). Optimization of multistage membrane gas separation processes. Example of application to CO2 capture from blast furnace gas. Journal of Membrane Science, vol. 566, pp. 346-366, https://doi.org/10.1016/j.memsci.2018.08.024.
J25. V. Piccialli and M. Sciandrone (2018). Nonlinear Optimization and Support Vector Machines, 4OR, vol. 16(2), pp 111–149, https://doi.org/10.1007/s10288-018-0378-2 .
J24. G. Cocchi, A. Gallligari, F. Picca Nicolino, V. Piccialli, F. Schoen, M. Sciandrone (2018). Scheduling the Italian National Volley Tournament, Interfaces, vol. 48(3), pp. 271 - 284, https://doi.org/10.1287/inte.2017.0932.
J23. E.F. Campana, M. Diez, G. Liuzzi, S. Lucidi, R. Pellegrini, V. Piccialli, F. Rinaldi, A. Serani (2018). A Multi-objective DIRECT algorithm for ship hull optimization, Computational Optimization and Optimization, vol. 71(1), pp. 53 - 72, doi: 10.1007/s10589-017-9955-0.
J22. F. Fedeli, R. Mancini, C. Mannino, P. Ofria, G. Oriolo, A. Pacifici, and V. Piccialli (2017). Optimal design of a regional railway service in Italy, Journal of Rail Transport Planning & Management , vol. 7(4), pp. 308-319, https://doi.org/10.1016/j.jrtpm.2017.10.001 .
J21. L. Bravi, V. Piccialli, M. Sciandrone (2017). An optimization-based method for feature ranking in nonlinear regression problems, IEEE Transactions on Neural Networks and Learning Systems, vol. 28(4), p. 1005 - 1010. .
J20. G. Di Pillo, G. Liuzzi, S. Lucidi, F. Rinaldi, V. Piccialli (2016). A DIRECT-type approach for derivative-free constrained global optimization, Computational Optimization and Applications, vol. 65(2), pp. 361--397.
J19. V. Cardellini, V. De Nitto Personè, V. Di Valerio, F. Facchinei, V. Grassi, V. Lo Presti, V. Piccialli (2016). A Game-theoretic approach to computation offloading in mobile cloud computing, Mathematical Programming, vol. 157(2), pp 421–449.
J18. G. Liuzzi, S. Lucidi, V. Piccialli (2016). Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization. Computational Optimization and Applications, vol. 65(2), pp. 449--475.
J17. L. Bianco, M. Caramia, S. Giordani, V. Piccialli (2016). A Game-theoretic Approach for Regulating Hazmat Transportation, Transportation Science, vol. 50(2), pp. 424-438.
J16. L. Grippo, L. Palagi, M. Piacentini V. Piccialli, G. Rinaldi (2012). SpeeDP: A new algorithm to compute the SDP relaxations of Max-Cut for very large graphs. Mathematical Programming , vol. 136(2), pp. 353-373.
J15. D. di Serafino, G. Liuzzi, V. Piccialli, F. Riccio , G. Toraldo (2011). A Modified DIviding RECTangles Algorithm for a Problem in Astrophysics. Journal of Optimization Theory and Applications , vol. 151, pp. 175–190.
J14. F. Facchinei, V. Piccialli, M. Sciandrone (2011). Decomposition Algorithms for Generalized Potential Games. Computational Optimization and Applications , vol.50, pp. 237-262.
J13. A.Y. Alfakih, M.F. Anjos, V. Piccialli, H. Wolkowicz (2011). Euclidean Distance Matrices, Semidefinite Programming, and Sensor Network Localization (a survey), Portugaliae Mathematica, vol. 68, n. 1, pp. 53-102 (invited survey).
J12. L. Grippo, L. Palagi, V. Piccialli (2011). An unconstrained minimization method for solving low rank SDP relaxations of the max cut problem, Mathematical Programming Series A , vol. 126, n. 1, pp. 119–146.
J11. G. Liuzzi, S. Lucidi, V. Piccialli (2010). A partition-based Global Optimization Algorithm, Journal of Global Optimization, vol.48, n. 1, pp. 113-128.
J10. G. Liuzzi, S. Lucidi, V. Piccialli (2010). A DIRECT-based approach for large-scale global optimization problems, Computational Optimization and Applications, vol. 45, n. 2, pp. 353-375.
J9. F. Facchinei, A. Fischer, V. Piccialli (2009). Generalized Nash Equilibrium Problems and Newton methods, Mathematical Programming Series B, Vol. 117, n. 1-2, pages 163-194. This paper is one of the eight most cited articles published on Mathematical Programming in 2009-2010.
J8. L. Grippo, L. Palagi, V. Piccialli (2009). Necessary and sufficient global optimality conditions for NLP reformulations of linear SDP problems, Journal of Global Optimization, vol. 44, n 3, pp. 339 - 348.
J7. E. Campana, G. Liuzzi, S. Lucidi, D. Peri, A. Pinto, V. Piccialli. New Global Optimization Methods for Ship Design Problems, Optimization and Engineering, vol. 10, n.4, pp. 533-555 (2009).
J6. F. Facchinei, A. Fischer, V. Piccialli (2007). On Generalized Nash Games and Variational Inequalities, Operations Research Letters, vol. 35, n. 2, pp. 159-164.
J5. G. Liuzzi, S. Lucidi, V. Piccialli, M. Villani (2005). Design of induction motors using a mixed-variable approach. Computational Management Science, vol. 2, n. 3, pp. 213 - 228.
J4. G. Liuzzi, S. Lucidi, V. Piccialli, A. Sotgiu (2004). A Magnetic Resonance device designed via global optimization techniques. Mathematical Programming, vol. 101, n. 2, pp. 339-364.
J3. S. Lucidi, V. Piccialli (2004). A derivative based algorithm for a particular class of mixed variable optimization problems. Optimization Methods and Software, vol.19, n.3-4, pp. 371-387.
J2. S. Lucidi, V. Piccialli, M. Sciandrone (2005). An Algorithm Model for Mixed Variable Programming. SIAM Journal on Optimization, vol. 15, n. 4, pp. 1057 - 1084.
J1. S. Lucidi, V. Piccialli (2002). New Classes of Globally Convexized Filled Functions for Global Optimization. Journal of Global Optimization, vol. 24, pp. 219-236.
C3. G. Liuzzi, S. Lucidi, V. Piccialli. Global Optimization of Simulation Based Complex System. In Uncertainty Management in Simulation-Optimization of Complex Systems. Edited by G. Dellino, and C. Meloni, Springer, New York (2015).
C2. L. Bianco, M. Caramia, S. Giordani, V. Piccialli. Operations Research Models for Global Route Planning in Hazardous Material Transportation. In: Handbook of OR/MS Models in Hazardous Materials Transportation. Edited by Rajan Batta and Changhyun Kwon, Springer, New York. (2013).
C1. L. Palagi, V. Piccialli, F. Rendl, G. Rinaldi, and A. Wiegele. Computational Approaches to Max-Cut. In Handbook of Semidefinite, Cone and Polynomial Optimization: Theory, Algorithms, Software and Applications. Edited by M.F. Anjos and J.B. Lasserre, Springer, New York (2011).
CP3.L. Bianchi, C. Liti, V. Piccialli. (2017). Can feature selection be used to detect physiological components in P300 based BCI for Amyotrophic lateral sclerosis patients? Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, September , Graz, DOI: 10.3217/978-3-85125-533-1-51.
CP2. F. Fedeli, R. Mancini, C. Mannino, P. Ofria, G. Oriolo, A. Pacifici, and V. Piccialli (2017). Optimal design of a regional railway service in Italy, Proceedings of Railille 2017, Lille, Francia, 4-7 aprile 2017.
CP1. L. Bianchi, C. Liti, V. Piccialli (2016). Features reduction for P300 Spellers, Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future, May 30 – June 3 2016 Asilomar Conference Center, Pacific Grove, California, USA, DOI:10.3217/978-3-85125-467-9-26.
T1. V.Piccialli (2004). Methods for solving Mixed Variable Programming Problems, Ph.D. Thesis. Department of Computer and Systems Science "Antonio Ruberti'', Sapienza University of Rome.
O4. L. Bianco, M. Caramia, S. Giordani, V. Piccialli (2012). A Game Theory Approach for Regulating Hazmat Transportation. DII Technical Report 21-12 (contains the full numerical results of [J17], it can be downloaded here .
O3. G. Liuzzi, S. Lucidi, V. Piccialli. Partitioning techniques for global optimization. Quaderni di Matematica - Volume in ricordo di Marco D'Apuzzo, 2011.
O2. L. Grippo, L. Palagi, M. Piacentini V. Piccialli (2009). An unconstrained approach for solving low rank SDP relaxations of $\{-1,1\}$ quadratic problems. DIS Technical Report 13-09.
O1. N. Krislock, V. Piccialli, H. Wolkowicz(2006). Robust Semidefinite Programming Approaches for Sensor Network Localization with Anchors. University of Waterloo Department of Combinatorics and Optimization Waterloo, Canada Research Report CORR 2006-12