Giorgio Gnecco


Currently working as
 Tenure-Track Assistant  Professor  position  (“Ricercatore  Tipo  B”)  in  Operations  Research and Director of the local Research Unit of INdAM (National Institute of High Mathematics) at IMT, Lucca

New homepage: http://www.imtlucca.it/giorgio.gnecco

Before: Fixed Term Assistant Professor ("Ricercatore Tipo A") in Control Systems at IMT Lucca, and Post-doc at the University of Genova (DIBRIS)

News:

On March 03rd, 2015, I obtained the Italian National Scientific Qualification for the role of Associate Professor in Mathematical Methods in Economics

On January 23th, 2015, I obtained the Italian National Scientific Qualification for the role of Associate Professor in Information Processing Systems

On January 29th, 2014, I obtained the Italian National Scientific Qualification for the role of Associate Professor in Computer Science

On December 20th, 2013, I obtained the Italian National Scientific Qualification for the role of Associate Professor in Operations Research

Associate Editor of IEEE Transactions on Neural Networks and Learning Systems (in the first quartile in 4 different subject categories according to the ISI Impact Factor 2012), starting from January 2013

        Lab. (NOCCLAB): +39 010 353 2154

        giorgio.gnecco_at_unige.it

For a detailed curriculum vitae, see the link at the end of this page.

Higher Education
  1. Phd in Mathematics and Applications (April 2009)

  2. Master's Degree in Telecommunications Engineering (5 years) (December 2004)

    • 110/110 cum Laude

    • average examination mark before the thesis: about 29.54/30

  3. Diploma in Viola, obtained in 2001 (10 years, recognized as a Bachelor's Degree according to the Italian Law 268/2002, and recently - Stability Law No. 228 of 24 December, 2012 - also as a Master's Degree)

  4. Diploma in Violin, obtained in 2000 (10 years, recognized as a Bachelor's Degree according to the Italian Law 268/2002, and recently - Stability Law No. 228 of 24 December, 2012 - also as a Master's Degree)

    Besides playing music, I have used my competencies in music also in doing research at the international research centre Casa Paganini-InfoMus, writing journal papers and conference papers in the context of the EU Project 7FP ICT FET SIEMPRE (Social Interaction and Entrainment using Music PeRformancE). In particular, in that context I have combined competencies in music with methods of Operations Research (e.g., Game Theory). In 2017, I participated as a violinist to the presentation of the book "Schegge di Memoria" by the novelist Isabella Pileri Pavesio at the Italian Literary Prize "Bancarella".

Papers in international journals
  1. R. Morisi, D. N. Manners, G. Gnecco, N. Lanconelli, C. Testa, S. Evangelisti, L. Talozzi, L. L. Gramegna, C. Bianchini, G. Calandra-Bonaura, L. Sambati, G. Giannini, P. Cortelli, C. Tonon, R. Lodi, "Classification of Parkinsonisms with MR Markers and Graph-Based Features by Support Vector Machines", Parkinsonism & Related Disorders, 2017, DOI: 10.1016/j.parkreldis.2017.11343.

  2. S. Sebastio, G. Gnecco, "A Green Policy to Schedule Tasks in a Distributed Cloud", Optimization Letters, 2017, DOI: 10.1007/s11590-017-1208-8.
  3. F. El Ouardighi, K. Kogan, G. Gnecco, M. Sanguineti, "Commitment-Based Equilibrium Environmental Strategies and Time-Dependent Absorption Efficiency"Group Decision and Negotiation, 2017, DOI: 10.1007/s10726-017-9545-7.

  4. L. Boero, M. Cello, G. Gnecco, M. Marchese, F. Patrone, M. Sanguineti, "A Theoretical Analysis of Buffer Occupancy for Intermittently Connected Networks"Performance Evaluation, vol. 115, pp. 108-131, 2017.

  5. Y. Hadas, G. Gnecco, M. Sanguineti, "An Approach to Transportation Network Analysis via Transferable Utility Games"Transportation Research Part B - Methodological, vol. 105, pp. 120-143, 2017.

  6. G. Gnecco, A. Bemporad, M. Gori, M. Sanguineti, "LQG Online Learning", Neural Computation, vol. 29, pp. 2203-2291, 2017.

  7. G. Gnecco, "Symmetry and Antisymmetry Properties of the Optimal Solutions to Regression Problems", Optimization Letters, vol. 11, pp. 1427-1442, 2017.

  8. S. Sebastio, G. Gnecco, A. Bemporad, "Optimal Distributed Task Scheduling in Volunteer Clouds", Computers & Operations Research, vol. 81, pp. 231-246, 2017.

  9. A. Bacigalupo, G. Gnecco, M. Lepidi, L. Gambarotta, "Optimal Design of Low-Frequency Band Gaps in Anti-Tetrachiral Lattice Meta-Materials", Composites Part B: Engineering, vol. 115, pp. 341-359, 2017.

  10. R. Morisi, G. Gnecco, A. Bemporad, "A Hierarchical Consensus Method for the Approximation of the Consensus State, Based on Clustering and Spectral Graph Theory", Engineering Applications of Artificial Intelligence, vol. 56, pp. 157-174, 2016.

  11. G. Gnecco, R. Morisi, G. Roth, M. Sanguineti, A. C. Taramasso, "Supervised and Semi-Supervised Classifiers for the Detection of Flood-Prone Areas"Soft Computing, vol 21, pp. 3673-3685, 2017.

  12. F. Dardard, G. Gnecco, D. Glowinski, "Automatic Classification of Leading Interactions in a String Quartet", ACM Transactions on Interactive Intelligent Systems, vol. 6, no. 1, article 5, 27 pages, 2016.

  13. A. Bacigalupo, M. Lepidi, G. Gnecco, L. Gambarotta, "Optimal Design of Auxetic Hexachiral Metamaterials with Local Resonators", Smart Materials and Structures, vol. 25, no. 5, article ID, 054009, 2016.

  14. G. Gnecco, M. Sanguineti, "Neural Approximations of the Solutions to a Class of Stochastic Optimal Control Problems", Journal of Neurotechnology, vol. 1, no. 1, 2016.

  15. G. Gnecco, R. Morisi, A. Bemporad, "Sparse Solutions to the Average Consensus Problem via Various Regularizations of the Fastest Mixing Markov-Chain Problem", IEEE Transactions on Network Science and Engineering, vol. 2, pp. 97-111, 2015.

  16. G. Gnecco, "On the Curse of Dimensionality in the Ritz Method", Journal of Optimization Theory and Applications, vol. 168, pp. 488-509, 2016.

  17. M. M. Abdelsamea, G. Gnecco, M. M. Gaber, E. Elyan, "On the Relationship between Variational Level Set-Based and SOM-Based ACMs", Computational Intelligence and Neuroscience, vol. 2015, Article ID, 109029, 19 pages, 2015.

  18. G. Gnecco, M. Gori, S. Melacci, M. Sanguineti, "Learning with Mixed Hard/Soft Pointwise Constraints", IEEE Transactions on Neural Networks and Learning Systems, vol. 26, pp. 2019-2032, 2015.

  19. G. Gnecco, M. Gori, S. Melacci, M. Sanguineti, "Foundations of Support Constraint Machines", Neural Computationvol. 27, pp. 388-480, 2015.

  20. M. M. Abdelsamea, G. Gnecco, "Robust Local-Global SOM-based ACM", Electronics Letters, vol. 22, pp. 142-143, 2015.

  21. M. M. Abdelsamea, G. Gnecco, M. M. Gaber, "An Efficient Self-Organizing Active Contour Model for Image Segmentation", Neurocomputing, vol. 149, pp. 820-835, 2015.

  22. M. M. Abdelsamea, G. Gnecco, M. M. Gaber, "A SOM-based Chan-Vese Model for Unsupervised Image Segmentation", Soft Computing, vol. 21, pp. 2047-2067, 2017.

  23. D. Glowinski, F. Dardard, G. Gnecco, S. Piana, A. Camurri, "Expressive Non-Verbal Interaction in a String Quartet: an Analysis through Head Movements", Journal on Multimodal User Interfaces, vol. 9, pp. 55-68, 2015.

  24. M. Cello, G. Gnecco, M. Marchese, M. Sanguineti, "Evaluation of the Average Packet Delivery Delay in Highly-Disruptive Networks: the "IP-like" and DTN protocol cases", IEEE Communications Letters,  vol. 18, pp. 519-522, 2014.

  25. M. Cello, G. Gnecco, M. Marchese, M. Sanguineti, "Narrowing the Search for Optimal Call-Admission Policies via a Nonlinear Stochastic Knapsack Problem", Journal of Optimization Theory and Applications, vol. 164, pp. 819-841, 2015.

  26. G. Gnecco, D. Glowinski, A. Camurri, M. Sanguineti, "On the Detection of the Level of Attention in an Orchestra Through Head Movements", International Journal of Arts and Technology, vol. 7, pp. 316-338, 2014.

  27. M. Gaggero, G. Gnecco, M. Sanguineti, "Approximate Dynamic Programming for Stochastic N-Stage Optimization with Application to Optimal Consumption Under Uncertainty", Computational Optimization and Applications, vol. 58, pp. 31-85, 2014.

  28. G. Gnecco, "Approximation and Estimation Bounds for Subsets of Reproducing Kernel Krein Spaces", Neural Processing Letters, vol. 39, pp. 137-153, 2014.

  29. M. Degiorgis, G. Gnecco, S. Gorni, G. Roth, M. Sanguineti, A.C. Taramasso, "Flood Hazard Assessment via Threshold Binary Classifiers: the Case Study of the Tanaro Basin", Irrigation and Drainage, vol. 62, pp. 1-10, 2013.

  30. A. Camurri, F. Dardard, S. Ghisio, D. Glowinski, G. Gnecco, M. Sanguineti, "Exploiting the Shapley Value in the Estimation of the Position of a Point of Interest for a Group of Individuals", Procedia - Social and Behavioral Sciencesvol. 108, pp. 249-259, 2014.

  31. M. Cello, G. Gnecco, M. Marchese, M. Sanguineti, "Optimality Conditions for Coordinate-Convex Policies in CAC with Nonlinear Feasibility Boundaries"IEEE/ACM Transactions on Networking, vol. 21, pp. 1363-1377, 2013.

  32. G. Gnecco, M. Gori, M. Sanguineti, "Learning with Boundary Conditions", Neural Computation, vol. 25, pp. 1029-1106, 2013.

  33. G. Gnecco, M. Gori, S. Melacci, M. Sanguineti, "A Theoretical Framework for Supervised Learning from Regions", Neurocomputing, vol. 129, pp. 25-32, 2014.

  34. M. Degiorgis, G. Gnecco, S. Gorni, G. Roth, M. Sanguineti, A.C. Taramasso, "Classifiers for the Detection of Flood-Prone Areas Using Remote Sensed Elevation Data", Journal of Hydrology, vol. 470-471, pp. 302-315, 2012.

  35. M. Gaggero, G. Gnecco, M. Sanguineti, "Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results", Journal of Optimization Theory and Applications,  vol. 156, pp. 380-416, 2013.

  36. G. Gnecco, M. Sanguineti, M. Gaggero, "Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure", SIAM Journal on Optimization, vol. 22, pp. 212-243, 2012.

  37. M. Cello, G. Gnecco, M. Marchese, M. Sanguineti, "A Model of Buffer Occupancy for ICNs'', IEEE Communications Letters, vol. 16, pp. 862-865, 2012.

  38. G. Gnecco, V. Kủrková, M. Sanguineti, "Accuracy of Approximations of Solutions to Fredholm Equations by Kernel Methods", Applied Mathematics and Computation, vol. 218, pp. 7481-7497, 2012.

  39. G. Gnecco, V. Kủrková, M. Sanguineti, "Can Dictionary-Based Computational Models Outperform the Best Linear Ones?", Neural Networks, vol. 24, pp. 881-887, 2011.

  40. G. Gnecco, M. Sanguineti, "New Insights into Witsenhausen's Counterexample", Optimization Letters, vol. 6, pp. 1425-1446, 2012.

  41. G. Gnecco, M. Sanguineti, "On a Variational Norm Tailored to Variable-Basis Approximation Schemes'', IEEE Transactions on Information Theory, vol. 57, pp. 549-558, 2011.

  42. M. Cello, G. Gnecco, M. Marchese, M. Sanguineti, "CAC with Nonlinearly-Constrained Feasibility Regions'', IEEE Communications Letters, vol. 15, pp. 467-469, 2011.

  43. G. Gnecco, V. Kủrková, M. Sanguineti, "Some Comparisons of Complexity in Dictionary-Based and Linear Computational Models"Neural Networks, vol. 24, pp. 171-182, 2011.

  44. G. Gnecco, "A Comparison Between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization", Journal of Applied Mathematicsvol. 2012, article ID, 806945, 17 pages, 2012.

  45. A. Alessandri, G. Gnecco, M. Sanguineti, "Minimizing Sequences for a Family of Functional Optimal Estimation Problems", Journal of Optimization Theory and Applications, vol. 147, pp. 243-262, 2010. 

  46. G. Gnecco, M. Sanguineti, "Suboptimal Solutions to Dynamic Optimization Problems via Approximations of the Policy Functions", Journal of Optimization Theory and Applications, vol. 146, pp. 764-794, 2010.

  47. G. Gnecco, M. Sanguineti, "Estimates of Variation with Respect to a Set and Applications to Functional Optimization Problems", Journal of Optimization Theory and Applications, vol. 145, pp. 53-75, 2010.

  48. G. Gnecco, M. Sanguineti, "Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data"Neural Computation, vol. 22, pp. 793-829, 2010.  

  49. G. Gnecco, M. Sanguineti, "Accuracy of Suboptimal Solutions to Kernel Principal Component Analysis'', Computational Optimization and Applications, vol. 42, pp. 265–287, 2009.

  50. G. Gnecco, M. Sanguineti, "Error Bounds for Suboptimal Solutions to Kernel Principal Component Analysis", Optimization Letters, vol. 4, pp. 197-210, 2010.

  51. G. Gnecco, M. Sanguineti, "On Spectral Windows in Supervised Learning from Data", Information Processing Letters, vol. 110, no. 23, pp. 1031-1036, 2010.

  52. G. Gnecco, M. Sanguineti, "Team Optimization Problems with Lipschitz Continuous Strategies", Optimization Lettersvol. 5, no. 2, pp. 333-346, 2011.

  53. G. Gnecco, M. Sanguineti, "The Weight-Decay Technique in Learning from Data: An Optimization Point of View", Computational Management Science, vol. 6, pp. 53-79, 2009.

  54. G. Gnecco, M. Sanguineti, "Estimates of the Approximation Error Using Rademacher's  Complexity: Learning Vector-Valued Functions'', Journal of Inequalities and Applications, vol. 2008, article ID, 640758, 16 pages, 2008.

  55. G. Gnecco, "Functional Optimization by Variable-Basis Approximation Schemes", Summary of the PhD Thesis, 4OR: A Quarterly Journal of Operations Research, vol. 9, pp. 103-106, 2011.

  56. G. Gnecco, M. Sanguineti, "Information Complexity of Functional Optimization Problems and Their  Approximation Schemes'', Mathematics in Engineering, Science and Aerospace, vol. 1, no. 3, pp. 303-317, 2010.

  57. A. Alessandri, G. Gnecco, M. Sanguineti, "Computationally Efficient Approximation Schemes for Functional Optimization", International Journal of Computer Research, vol. 17, no. 1/2, pp. 153-189, 2008 (cross-published in "Computational Optimization: New Research Developments", R. F. Linton and T. B. Carroll Jr. (Eds.), Nova Science Publishers, 2010).

  58. G. Gnecco, M. Sanguineti, "Value and Policy Function Approximations in Infinite-Horizon Optimization Problems'', Journal of Dynamical Systems and Geometric Theories, vol. 6. no. 2, pp. 123-147, 2008.

  59. G. Gnecco, M. Sanguineti, "Approximation Error Bounds via Rademacher's Complexity"Applied Mathematical Sciences, vol. 2, pp. 153-176, 2008.

Chapters in books and monographs
  1. G. Gnecco, M. Gori, S. Melacci, M. Sanguineti, "Learning as Constraint Reactions". In "Artificial Neural Networks - Methods and Applications in Bio- and Neuroinformatics (Series in Bio-Neuroinformatics)", P. Koprinkova-Hristova, V. Mladenov, N. Kasabov (Eds.), vol. 4, pp. 245-270, Springer, 2015.

  2. M. Gaggero, G. Gnecco, M. Sanguineti, "Suboptimal Policies for Stochastic N-Stage Optimization Problems: Accuracy Analysis and a Case Study from Optimal Consumption". In "Models and Methods in Economics and Management",  F. El Ouardighi, K. Kogan (Eds.), pp. 27-50, Springer, 2014.

  3. G. Gnecco, M. Sanguineti, "Regularization and Suboptimal Solutions in Learning from Data''. In "Innovations in Neural Information Paradigms and Applications", M. Bianchini, M. Maggini, F. Scarselli (Eds.), pp. 113-154, Springer, 2010.

  4. A. Alessandri, G. Gnecco, M. Sanguineti, "Computationally Efficient Approximation Schemes for Functional Optimization". In "Computational Optimization: New Research Developments", R. F. Linton and T. B. Carroll Jr. (Eds.), Nova Science Publishers, 2010 (cross-published in International Journal of Computer Research, vol. 17, no. 1/2, pp. 153-189, 2008).

Presentations at international conferences with revision of the full paper, published as lecture notes
  1. A. Bacigalupo, G. Gnecco, M. Lepidi, L. Gambarotta, "Design of Acoustic Metamaterials through Nonlinear Programming", 2nd International Workshop on Optimization, Machine Learning and Big Data (MOD 2016), Volterra, Italy, August 26th-29th, 2016. In "Lecture Notes in Computer Science", vol. 10122, pp. 170-181, 2016.

  2. R. Morisi, G. Gnecco, N. Lanconelli, S. Zanigni, D. N. Manners, C. Testa, S. Evangelisti, L. L. Gramegna, C. Bianchini, P. Cortelli, C. Tonon, R. Lodi, "Binary and Multi-Class Parkinsonian Disorders Classification using Support Vector Machines". In "Lecture Notes in Computer Science", vol. 9117, pp. 379-386, Springer, Berlin Heidelberg, 2015.

  3. G. Gnecco, M. Gori, S. Melacci, M. Sanguineti, "Learning with Hard Constraints". In "Lecture Notes in Computer Science", vol. 8131, pp. 146-153, Springer, Berlin Heidelberg, 2013.

  4. G. Gnecco, L. Badino, A. Camurri, A. D'Ausilio, L. Fadiga, D. Glowinski, M. Sanguineti, G. Varni, G. Volpe, "Towards Automated Analysis of Joint Music Performance in the Orchestra". In "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering", vol. 116, pp. 120-127, Springer, Berlin Heidelberg, 2013

  5. G. Gnecco, V. Kủrková, M. Sanguineti, "Bounds for Approximate Solutions of Fredholm Integral Equations using Kernel Networks''. In "Lecture Notes in Computer Science", vol. 6791, pp. 126-133, Springer, Berlin Heidelberg, 2011.

  6. G. Gnecco, V. Kủrková, M. Sanguineti, "Some Comparisons of Model Complexity in Linear and Neural-Network Approximation''. In "Lecture Notes in Computer Science", vol. 6354, pp. 358-367, Springer, Berlin Heidelberg, 2010.

  7. G. Gnecco, M. Sanguineti, "Smooth Optimal Decision Strategies for Static Team Optimization Problems and their Approximations''. In "Lecture Notes in Computer Science", vol. 5901, pp. 440-451, Springer, Berlin Heidelberg, 2010.

Other presentations at international conferences with revision of the full paper
  1. Y. Hadas, G. Gnecco, M. Sanguineti, "Public Transport Transfers Assessment via Transferable-Utility Games and Shapley-Value Approximation", accepted for presentation at the 97th Transportation Research Board 2018 Annual Meeting (TRB 2018), Washington, D. C., January 7th-11th, 2018.

  2. K. Kolykhalova, G. Gnecco, M. Sanguineti, A. Camurri, G. Volpe, "Graph-Restricted Game Approach for Investigating Human Movement Qualities", in Proceedings of the 4th International Conference on Movement Computing (MOCO '17), article no. 30, 4 pages, London, UK, June 28th-30th, 2017.
  3. G. Gnecco, M. Gori, S. Melacci, M. Sanguineti, "Learning with Hard Constraints as a Limit Case of Learning with Soft Constraints", in Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), pp. 35-40, Bruges, Belgium, April 27th-29th, 2016.

  4. G. Gnecco, A. Bemporad, M. Gori, R. Morisi, M. Sanguineti, "Online Learning as an LQG Optimal Control Problem with Random Matrices", in Proceedings of the 14th IEEE European Control Conference (IEEE ECC 2015), pp. 2487-2494, Linz, Austria, July 15th-17th, 2015.

  5. X. Wen, F. Pammolli, G. Gnecco, "Labor Supply and Capital Accumulation in an Aging Economy: When Beveridge Meets Bismarck", in Proceedings of the 16th Annual Conference on Public Economic Theory (PET 15), 40 pages, University of Luxembourg, July 2nd-4th, 2015.

  6. M. M. Abdelsamea, G. Gnecco, M. M. Gaber, "A Concurrent SOM-Based Chan-Vese Model for Image Segmentation". In "Advances in Intelligent Systems and Computing", vol. 295, pp. 199-208, Springer, 2014.

  7. M. M. Abdelsamea, G. Gnecco, M. M. Gaber, "A Survey of SOM-Based Active Contour Models for Image Segmentation". In "Advances in Intelligent Systems and Computing", vol. 295, pp. 293-302, Springer, 2014.

  8. Gnecco, R. Morisi, A. Bemporad, "Sparse Solutions to the Average Consensus Problem via L1-Norm Regularization of the Fastest Mixing Markov-Chain Problem", in Proceedings of the 53rd IEEE International Conference on Decision and Control (IEEE CDC 2014), pp. 2228-2233, Los Angeles, December 15th-17th, 2014.

  9. D. Punta, G. Puri, F. Tollini, G. Gnecco, M. Sanguineti, A. Camurri, "Evaluation of Individual Contributions in a Group Estimate of the Position of a Moving Point of Common Interest", in Proceedings of the 6th International Conference of Students of Systematic Musicology (SysMus 2013), pp.  23-32, Genoa, September 12th-14th, 2013.

  10. D. Glowinski, G. Gnecco, A. Camurri, S. Piana, "Expressive Non-Verbal Interaction in String Quartet", in Proceedings of the 5th IEEE International Conference on Affective Computing and Intelligent Interaction (IEEE ACII 2013), pp. 233-238, Geneva, September 2nd-5th, 2013.

  11. M. Gaggero, G. Gnecco, T. Parisini, M. Sanguineti, R. Zoppoli, "Approximation Structures with Moderate Complexity in Functional Optimization and Dynamic Programming'', in Proceedings of the 51st IEEE Conference on Decision and Control (IEEE CDC 2012), pp. 1902-1908, Maui, Hawaii, December 10th-13th, 2012.

  12. M. Cello, G. Gnecco, M. Marchese, M. Sanguineti, "An Application to Two-Hop Forwarding of a Model of Buffer Occupancy in ICNs'', in Proceedings of the 7th IEEE International Conference on System of Systems Engineering (IEEE SOSE 2012), Genoa, pp. 491-496, July 16th-19th, 2012.

  13. M. Cello, G. Gnecco, M. Marchese, M. Sanguineti, "A Generalized Stochastic Knapsack Probem with Application in Call Admission Control'', in Proceedings of the 10th Cologne-Twente Workshop (CTW 2011), pp. 105-108, Frascati, June 14th-16th, 2011.

  14. M. Cello, G. Gnecco, M. Marchese, M. Sanguineti, "Structural Properties of Optimal Coordinate-Convex Policies for CAC with Nonlinearly-Constrained Feasibility Regions'', in Proceedings of the 30th International Conference on Computer Communications (IEEE INFOCOM Mini-Conference 2011), pp. 466-470, Shanghai, China, April 10th-15th, 2011.

  15. G. Gnecco, M. Sanguineti, "Lipschitz Continuity of the Solutions to Team Optimization Problems Revisited", in Proceedings of the International Conference on Mathematical Science and Engineering (ICMSE 09), pp. 1-5, Venice, October 28th-30rd, 2009.

  16. G. Gnecco, M. Sanguineti, "Suboptimal Solutions to Network Team Optimization Problems", in Proceedings of the International Network Optimization Conference (INOC 2009), pp. 1-10, Pisa, April 26th-29th, 2009.

Papers submitted to international journals/in preparation
  1. B. Frassi, G. Gnecco, F. Pammolli, X. Wen, "Intragenerational Redistribution in a Funded Pension System", second revision to be submitted to Journal of Pension Economics and Finance, pending minor revision.

  2. G. Gnecco, B. Tuncay, F. Pammolli, "A Comparison of Game-Theoretic Models for Parallel Trade", first revision submitted to International Game Theory Review, pending revision.

  3. G. Gnecco, "Symmetric and Antisymmetric Properties of Solutions to Kernel-Based Machine Learning Problems"submitted to Neurocomputing.

  4. F. El Ouardighi, K. Kogan, G. Gnecco, M. Sanguineti, "Transboundary Pollution Control and Environmental Absorption Efficiency Management"submitted to Annals of Operations Research.

  5. G. Gnecco, M. Sanguineti, "Neural Approximations in Discounted Infinite-Horizon Stochastic Optimal Control Problems", submitted to Engineering Applications of Artificial Intelligence.

  6. G. Gnecco, F. Pammolli, B. Tuncay, "An Optimization-based Comparison of the Welfare Effects of Uniform and Differential Pricing Schemes", in preparation.

  7. G. Gnecco, "An Algorithm for Curve Identification"submitted to Information Processing Letters.

  8. P. Balister, B. Bollobas, G. Gnecco, "Cylinder Percolation"in preparation. 

  9. P. Lenarda, G. Gnecco, M. Riccaboni, "Parameters Estimation in a 3-Parameters p-Star Model", in preparation.

Other presentations at international conferences/technical reports/laurea thesis: see the detailed curriculum vitae at the end of this page.

PhD thesis
  1. G. Gnecco, "Functional Optimization by Variable-Basis Approximation Schemes", Department of Mathematics (DIMA), University of Genoa, April 2009.

Detailed curriculum vitae (English)
 
See the detailed cv linked above for other informations about contacts, present position, studies and past positions, research topics, post-laurea training, periods as visiting scientist, scientific/organization activity, reviewer activity, partecipation at conferences as speaker, invited talks, editorial activity, international projects, national projects, institutional activity at university, laboratory activity, teaching activity,
and publications.