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
classificationvia 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.