Selected publications

Books

  • C. Vercellis. Business intelligence. Data mining and optimization for decision making. Wiley, 2009.
  • C. Vercellis. Ottimizzazione. Teoria, metodi, applicazioni. McGraw-Hill, 2008.
  • G. Felici, C. Vercellis. Mathematical methods for knowledge discovery and data mining. Idea Group, 2007.
  • C. Vercellis. Business intelligence. Modelli matematici e sistemi per le decisioni. McGraw-Hill, 2006.
  • C. Vercellis. Modelli e decisioni. McGraw-Hill, 2006.
  • C. Vercellis. Modelli e decisioni. Strumenti e metodi per le decisioni aziendali. Esculapio, 1997.

      Papers in ISI/SCOPUS Journals

      • C. Orsenigo. Effective MVU via Central Prototypes and Kernel Ridge Regression. In: Modeling Decisions for Artificial Intelligence. Lecture Notes in Artificial Intelligence 9321 (2015), pp. 143-154.
      • C. Orsenigo. An improved set covering problem for Isomap supervised landmark selection. Pattern Recognition Letters 49 (2014), pp. 131-137.
      • C. Orsenigo, C. Vercellis. Linear versus nonlinear dimensionality reduction for banks' credit rating prediction. Knowledge-Based Systems 47 (2013), pp. 14-22.
      • C. Orsenigo, C. Vercellis. A comparative study of nonlinear manifold learning methods for cancer microarray data classification. Expert Systems with Applications 40 (2013), pp. 2189-2197.
      • C. Orsenigo, C. Vercellis. Landmark Selection for Isometric Feature Mapping Based on Mixed-Integer Optimization. In: Modeling Decisions for Artificial Intelligence. Lecture Notes in Computer Science 8234 (2013), pp. 260-271.
      • C. Orsenigo, C. Vercellis. Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification. In: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. Lecture Notes in Computer Science 7833 (2013), pp. 92-103.
      • C. Orsenigo, C. Vercellis. Regularization through fuzzy discrete SVM with applications to customer ranking. Journal of Intelligent & Fuzzy Systems 23 (2012), pp. 101-110.
      • C. Orsenigo, C. Vercellis. Kernel ridge regression for out-of-sample mapping in supervised manifold learning. Expert Systems with Applications 39 (2012), pp. 7757-7762.
      • C. Orsenigo, C. Vercellis. An effective double-bounded tree-connected Isomap algorithm for microarray data classification. Pattern Recognition Letters 33 (2012), pp. 9-16.
      • C. Orsenigo, C. Vercellis. Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification. Pattern Recognition (2010), pp. 3787-3794.
      • C. Orsenigo, C. Vercellis. Time series gene expression data classification via L1-norm temporal SVM. In: Pattern Recognition in Bioinformatics. Lecture Notes in Computer Science 6282 (2010), pp. 264-274.
      • C. Orsenigo, C. Vercellis. Multicategory classification via discrete support vector machines. Computational Management Science 6 (2009), 101-114.
      • C. Orsenigo. Gene selection and cancer microarray data classification via mixed-integer optimization. In: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. Lecture Notes in Computer Science 4973 (2008), pp. 141-152.
      • C. Orsenigo, C. Vercellis. Accurately learning from few examples with a polyhedral classifier. Computational Optimization and Applications 38 (2007), pp. 235-247.
      • C. Orsenigo, C. Vercellis. Evaluating membership functions for fuzzy discrete SVM. In: Applications of fuzzy sets theory. Lecture Notes in Artificial Intelligence 4578 (2007), pp. 187-194.
      • C. Orsenigo, C. Vercellis. Softening the margin in discrete SVM. In: Advances in Data Mining. Lecture Notes in Artificial Intelligence 4597 (2007), pp. 49-62.
      • C. Orsenigo, C. Vercellis. Predicting HIV protease-cleavable peptides by discrete support vector machines. In: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. Lecture Notes in Computer Science 4447 (2007), pp.197-206.
      • C. Orsenigo, C. Vercellis. A Bayesian stopping rule for greedy randomized procedures. Journal of Global Optimization 36 (2006), 365-377.
      • C. Orsenigo, C. Vercellis. Discrete support vector decision trees via tabu-search. Computational Statistics and Data Analysis 47 (2004), 311-322.
      • C. Orsenigo, C. Vercellis. Multivariate classification trees based on minimum features discrete support vector machines. IMA Journal of Management Mathematics 14 (2003), 221-234.
      • D. La Torre, C. Vercellis. C1,1 approximations of generalized support vector machines. Journal of Concrete and Applicable Mathematics 1 (2003), 125-134.
      • C. Orsenigo, C. Vercellis. One-against-all multicategory classification via discrete support vector machines. Management Information Systems 7, 2003, 255-264.
      • C. Vercellis. Combining Data Mining and Optimization for Campaign Management. Management Information Systems 6, 2002, 61-71.
      • A. Dumoulin, C. Vercellis. Tactical models for hierarchical capacitated lot-sizing problems with setups and changeovers. International Journal of Production Research 38 (2000), 51-67.
      • F. Fumero, C. Vercellis. Synchronized development of production, inventory and distribution schedules. Transportation Science 33 (1999), 330-340.
      • C. Vercellis. Multi-plant production planning in capacitated self-configuring two-stage serial systems. European Journal of Operational Research 119 (1999), 451-460.
      • F. Fumero, C. Vercellis. Integrating distribution, lot-sizing and machine loading via Lagrangean relaxation. International Journal of Production Economics 49 (1997), 45-54.
      • F. Fumero, C. Vercellis. Capacity management through Lagrangean relaxation: an application to tires production. Production Planning and Control 7 (1996), 604-614.
      • A. Marchetti-Spaccamela, C. Vercellis. Stochastic on-line knapsack problems. Mathematical Programming 68 (1995), 73-104.
      • C. Vercellis. Constrained multi-project planning problems: a Lagrangean decomposition approach. European Journal of Operational Research 78 (1994), 267-275.
      • F. Fumero, C. Vercellis. Capacity analysis in repetitive assemble-to-order manufacturing systems. European Journal of Operational Research 78 (1994), 204-215.
      • F. Stella, C. Vercellis, M. Zaffalon. A GAP formulation for solving production planning problems in Telecom industry. Operations Research 1994, Springer, 1995, 324-328.
      • A.H.G. Rinnooy Kan, L. Stougie, C. Vercellis. A class of generalized greedy algorithms for the multi-knapsack problem. Discrete Applied Mathematics 42 (1993), 279-290.
      • M.G. Speranza, C. Vercellis. Hierarchical models for multi-project planning and scheduling. European Journal of Operational Research 64 (1993), 312-325.
      • M.G. Speranza, C. Vercellis. A hierarchical multiobjective approach to project management. Multiple criteria decision support, Springer, 1991, 191-204.
      • C. Vercellis. Multi-criteria models for capacity analysis and aggregate planning in manufacturing systems. International Journal of Production Economics 23 (1991), 261-272.
      • M. Meanti, A.H.G. Rinnooy Kan, L. Stougie, C. Vercellis. A probabilistic analysis of the multiknapsack value function. Mathematical Programming 46 (1990), 237-248.
      • P.M. Camerini, F. Maffioli, C. Vercellis. Multi-constrained matroidal knapsack problems. Mathematical Programming 45 (1989), 211-231.
      • E. Tosini, C. Vercellis. An interactive approach to crew scheduling problems. Computer-aided transit scheduling, Springer, 1988, 41-53.
      • A. Marchetti Spaccamela, C. Vercellis. Efficient on-line algorithms for knapsack problems. Automata, languages and programming. Springer, 1987, 445-456.
      • B. Betrò, C. Vercellis. Bayesian nonparametric inference and Monte Carlo optimization. Optimization 17 (1986), 681-694.
      • F. Archetti, A. Sciomachen, C. Vercellis. Optimal design of a remote heating network. System modelling and optimization. Springer, 1986, 25-33.
      • C. Vercellis. A probabilistic analysis of the set packing problem. Stochastic programming. Springer, 1986, 272-285.
      • A. Frigessi, C. Vercellis. A probabilistic analysis of Monte Carlo algorithms for a class of counting problems. Stochastic programming. Springer, 1986, 272-285.
      • C. Vercellis. A threshold for multiple edge coverings in random hypergraphs. Annals of Discrete Mathematics 25 (1985), 311-320.
      • A. Frigessi, C. Vercellis. An analysis of Monte Carlo algorithms for counting problems. Calcolo 27 (1985), 413-428.
      • P.M. Camerini, C. Vercellis. The matroidal knapsack: a class of (often) well-solvable problems. Operations Research Letters 3 (1984), 157-162.
      • C. Vercellis. A probabilistic analysis of the set covering problem. Annals of Operations Research 1 (1984), 255-271.
      • F. Maffioli, M.G. Speranza, C. Vercellis. Randomized algorithms: an annotated bibliography. Annals of Operations Research 1 (1984), 331-345.
      • F. Archetti, C. Vercellis. An application of nonlinear programming techniques to the energy-economic optimization of buildings design. Optimization techniques. Springer, 1980, 569-576.

      Papers in international books

    • C. Orsenigo, C. Vercellis. Protein folding classification through multicategory discrete SVM In: Mathematical Methods for Knowledge Discovery and Data Mining, G. Felici and C. Vercellis eds., IGI, 2007, 116-129 .
    • C. Orsenigo, C. Vercellis. Rules induction through discrete support vector decision trees. In: Data Mining and Knowledge Discovery. Approaches Based on Rule Induction Techniques, E. Triantaphyllou and G. Felici eds., Springer, 2006, 305-325.
    • F. Fumero, C. Vercellis. Investigating the determinants of sales agents efficiency via data envelopment analysis. Operations Research 2000, Springer, 2000, 471-476.
    • C.G.E. Boender, A.H.G. Rinnooy Kan, C. Vercellis. Stochastic optimization methods. Stochastics in combinatorial optimization. World Scientific, 1987, 94-112.
    • F. Maffioli, M.G. Speranza, C. Vercellis. Randomized algorithms. Combinatorial Optimization. Wiley, 1985, 89-105.
    • F. Archetti, A. Frigessi, C. Vercellis. Variance reduction techniques in Monte Carlo evaluation of the reliability of stochastic networks. Applied Optimization Techniques in Energy Problems. Teubner, 1985, 63-79.
    • F. Archetti, D. Ballabio, C. Vercellis. Cost-benefit analysis of insulation in buildings via nonlinear optimization. Numerical Optimization of Dynamic Systems. North Holland, 1980, 363-375.

    Papers in international conference proceedings

    • C. Orsenigo, C. Vercellis. Classification of social networks entities by exploiting relational measures. INFORMS Proc. Artificial Intelligence and Data Mining Workshop. Seattle (2007).
    • C. Orsenigo, C. Vercellis. Time series classification by discrete support vector machines. INFORMS Proc. Artificial Intelligence and Data Mining Workshop. Pittsburgh (2006), 1-6.
    • C. Orsenigo, C. Vercellis. Hard separation in discrete support vector machines with relational marketing applications. Proc. 2nd Int. Workshop on Data Mining and Adaptive Modelling Methods for Economics and Management. Pisa (2004), 111-123.