Carlotta Orsenigo

According to our database, Carlotta Orsenigo authored at least 29 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

"Emotions are the Great Captains of Our Lives": Measuring Moods Through the Power of Physiological and Environmental Sensing.

Keith April Araño, Peter A. Gloor, Carlotta Orsenigo, Carlo Vercellis

IEEE Trans. Affect. Comput., 2022

Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery.

Masoud Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis

CoRR, 2022

2021

Multimodal sentiment and emotion recognition in hyperbolic space.

Keith April Araño, Carlotta Orsenigo, Mauricio Soto, Carlo Vercellis

Expert Syst. Appl., 2021

Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN.

Masoud Jalayer, Reza Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis

CoRR, 2021

ELECTRAMed: a new pre-trained language representation model for biomedical NLP.

Giacomo Miolo, Giulio Mantoan, Carlotta Orsenigo

CoRR, 2021

When Old Meets New: Emotion Recognition from Speech Signals.

Keith April Araño, Peter A. Gloor, Carlotta Orsenigo, Carlo Vercellis

Cogn. Comput., 2021

Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms.

Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis

Comput. Ind., 2021

2020

CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19.

Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis

CoRR, 2020

2018

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

Lorenzo Malandri, Frank Z. Xing, Carlotta Orsenigo, Carlo Vercellis, Erik Cambria

Cogn. Comput., 2018

Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis.

Carlotta Orsenigo, Carlo Vercellis, Claudia Volpetti

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

2015

Effective MVU via Central Prototypes and Kernel Ridge Regression.

Carlotta Orsenigo

Proceedings of the Modeling Decisions for Artificial Intelligence, 2015

2014

An improved set covering problem for Isomap supervised landmark selection.

Carlotta Orsenigo

Pattern Recognit. Lett., 2014

2013

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

Carlotta Orsenigo, Carlo Vercellis

Knowl. Based Syst., 2013

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

Carlotta Orsenigo, Carlo Vercellis

Expert Syst. Appl., 2013

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

Carlotta Orsenigo, Carlo Vercellis

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.

Carlotta Orsenigo, Carlo Vercellis

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.

Carlotta Orsenigo, Carlo Vercellis

Pattern Recognit. Lett., 2012

Regularization through fuzzy discrete SVM with applications to customer ranking.

Carlotta Orsenigo, Carlo Vercellis

J. Intell. Fuzzy Syst., 2012

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

Carlotta Orsenigo, Carlo Vercellis

Expert Syst. Appl., 2012

2010

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

Carlotta Orsenigo, Carlo Vercellis

Pattern Recognit., 2010

Time Series Gene Expression Data Classification via <i>L</i>₁-norm Temporal SVM.

Carlotta Orsenigo, Carlo Vercellis

Proceedings of the Pattern Recognition in Bioinformatics, 2010

2009

Multicategory classification via discrete support vector machines.

Carlotta Orsenigo, Carlo Vercellis

Comput. Manag. Sci., 2009

2008

Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization.

Carlotta Orsenigo

Proceedings of the Evolutionary Computation, 2008

2007

Accurately learning from few examples with a polyhedral classifier.

Carlotta Orsenigo, Carlo Vercellis

Comput. Optim. Appl., 2007

Evaluating Membership Functions for Fuzzy Discrete SVM.

Carlotta Orsenigo, Carlo Vercellis

Proceedings of the Applications of Fuzzy Sets Theory, 2007

Softening the Margin in Discrete SVM.

Carlotta Orsenigo, Carlo Vercellis

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

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

Carlotta Orsenigo, Carlo Vercellis

Proceedings of the Evolutionary Computation, 2007

2006

Bayesian Stopping Rules for Greedy Randomized Procedures.

Carlotta Orsenigo, Carlo Vercellis

J. Glob. Optim., 2006

2004

Discrete support vector decision trees via tabu search.

Carlotta Orsenigo, Carlo Vercellis

Comput. Stat. Data Anal., 2004