# Carlo Vercellis

According to our database

Collaborative distances:

^{1}, Carlo Vercellis authored at least 29 papers between 1984 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Public Mood-Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management.

Cognitive Computation, 2018

Discovering Bayesian Market Views for Intelligent Asset Allocation.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis.

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2013

Linear versus nonlinear dimensionality reduction for banks' credit rating prediction.

Knowl.-Based Syst., 2013

A comparative study of nonlinear manifold learning methods for cancer microarray data classification.

Expert Syst. Appl., 2013

Landmark Selection for Isometric Feature Mapping Based on Mixed-Integer Optimization.

Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification.

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

2012

An effective double-bounded tree-connected Isomap algorithm for microarray data classification.

Pattern Recognition Letters, 2012

Regularization through fuzzy discrete SVM with applications to customer ranking.

Journal of Intelligent and Fuzzy Systems, 2012

Kernel ridge regression for out-of-sample mapping in supervised manifold learning.

Expert Syst. Appl., 2012

2010

Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification.

Pattern Recognition, 2010

Proceedings of the Pattern Recognition in Bioinformatics, 2010

2009

Multicategory classification via discrete support vector machines.

Comput. Manag. Science, 2009

2007

Accurately learning from few examples with a polyhedral classifier.

Comp. Opt. and Appl., 2007

Guest editorial.

Comp. Opt. and Appl., 2007

Evaluating Membership Functions for Fuzzy Discrete SVM.

Proceedings of the Applications of Fuzzy Sets Theory, 2007

Softening the Margin in Discrete SVM.

Proceedings of the Advances in Data Mining. Theoretical Aspects and Applications, 2007

Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines.

Proceedings of the Evolutionary Computation, 2007

2006

Bayesian Stopping Rules for Greedy Randomized Procedures.

J. Global Optimization, 2006

2004

Discrete support vector decision trees via tabu search.

Computational Statistics & Data Analysis, 2004

1999

Synchronized Development of Production, Inventory, and Distribution Schedules.

Transportation Science, 1999

Multi-plant production planning in capacitated self-configuring two-stage serial systems.

European Journal of Operational Research, 1999

1995

Stochastic on-line knapsack problems.

Math. Program., 1995

1993

A Class of Generalized Greedy Algorithms for the Multi-Knapsack Problem.

Discrete Applied Mathematics, 1993

1990

A Probabilistic Analysis of the Multiknapsack Value Function.

Math. Program., 1990

1989

Multi-constrained matroidal knapsack problems.

Math. Program., 1989

1987

Efficient On-Line Algorithms for the Knapsack Problem (Extended Abstract).

Proceedings of the Automata, Languages and Programming, 14th International Colloquium, 1987

1984

A probabilistic analysis of the set covering problem.

Annals OR, 1984

Randomized algorithms: An annotated bibliography - In alphabetical order.

Annals OR, 1984