Carlotta Orsenigo

According to our database1, Carlotta Orsenigo authored at least 21 papers between 2004 and 2018.

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Bibliography

2018
Public Mood-Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management.
Cognitive Computation, 2018

Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2015
Effective MVU via Central Prototypes and Kernel Ridge Regression.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2015

2014
An improved set covering problem for Isomap supervised landmark selection.
Pattern Recognition Letters, 2014

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

Time Series Gene Expression Data Classification via L1-norm Temporal SVM.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

2009
Multicategory classification via discrete support vector machines.
Comput. Manag. Science, 2009

2008
Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization.
Proceedings of the Evolutionary Computation, 2008

2007
Accurately learning from few examples with a polyhedral classifier.
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


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