Discrete support vector decision trees via tabu search. - Carlotta Orsenigo; Carlo Vercellis (Comput. Stat. Data Anal., 2004)

Bayesian Stopping Rules for Greedy Randomized Procedures. - Carlotta Orsenigo; Carlo Vercellis (J. Glob. Optim., 2006)

Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines. - Carlotta Orsenigo; Carlo Vercellis (EvoBIO, 2007)

Softening the Margin in Discrete SVM. - Carlotta Orsenigo; Carlo Vercellis (ICDM, 2007)

Evaluating Membership Functions for Fuzzy Discrete SVM. - Carlotta Orsenigo; Carlo Vercellis (WILF, 2007)

Accurately learning from few examples with a polyhedral classifier. - Carlotta Orsenigo; Carlo Vercellis (Comput. Optim. Appl., 2007)

Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization. - Carlotta Orsenigo (EvoBIO, 2008)

Multicategory classification via discrete support vector machines. - Carlotta Orsenigo; Carlo Vercellis (Comput. Manag. Sci., 2009)

Time Series Gene Expression Data Classification via L1-norm Temporal SVM. - Carlotta Orsenigo; Carlo Vercellis (PRIB, 2010)

Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification. - Carlotta Orsenigo; Carlo Vercellis (Pattern Recognit., 2010)

Kernel ridge regression for out-of-sample mapping in supervised manifold learning. - Carlotta Orsenigo; Carlo Vercellis (Expert Syst. Appl., 2012)

Regularization through fuzzy discrete SVM with applications to customer ranking. - Carlotta Orsenigo; Carlo Vercellis (J. Intell. Fuzzy Syst., 2012)

An effective double-bounded tree-connected Isomap algorithm for microarray data classification. - Carlotta Orsenigo; Carlo Vercellis (Pattern Recognit. Lett., 2012)

Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification. - Carlotta Orsenigo; Carlo Vercellis (EvoBIO, 2013)

Landmark Selection for Isometric Feature Mapping Based on Mixed-Integer Optimization. - Carlotta Orsenigo; Carlo Vercellis (MDAI, 2013)

A comparative study of nonlinear manifold learning methods for cancer microarray data classification. - Carlotta Orsenigo; Carlo Vercellis (Expert Syst. Appl., 2013)

Linear versus nonlinear dimensionality reduction for banks' credit rating prediction. - Carlotta Orsenigo; Carlo Vercellis (Knowl. Based Syst., 2013)

An improved set covering problem for Isomap supervised landmark selection. - Carlotta Orsenigo (Pattern Recognit. Lett., 2014)

Effective MVU via Central Prototypes and Kernel Ridge Regression. - Carlotta Orsenigo (MDAI, 2015)

Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis. - Carlotta Orsenigo; Carlo Vercellis; Claudia Volpetti (IDEAL (1), 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)

CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19. - Masoud Jalayer; Carlotta Orsenigo; Carlo Vercellis (CoRR, 2020)

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)

When Old Meets New: Emotion Recognition from Speech Signals. - Keith April Araño; Peter A. Gloor; Carlotta Orsenigo; Carlo Vercellis (Cogn. Comput., 2021)

ELECTRAMed: a new pre-trained language representation model for biomedical NLP. - Giacomo Miolo; Giulio Mantoan; Carlotta Orsenigo (CoRR, 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)

Multimodal sentiment and emotion recognition in hyperbolic space. - Keith April Araño; Carlotta Orsenigo; Mauricio Soto; Carlo Vercellis (Expert Syst. Appl., 2021)

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)

"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)

ConvLSTM-based Sound Source Localization in a manufacturing workplace. - Reza Jalayer; Masoud Jalayer; Andrea Mor; Carlotta Orsenigo; Carlo Vercellis (Comput. Ind. Eng., 2024)

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty. - Reza Jalayer; Masoud Jalayer; Andrea Mor; Carlotta Orsenigo; Carlo Vercellis (CoRR, 2024)

Testing Human-Hand Segmentation on In-Distribution and Out-of-Distribution Data in Human-Robot Interactions Using a Deep Ensemble Model. - Reza Jalayer; Yuxin Chen; Masoud Jalayer; Carlotta Orsenigo; Masayoshi Tomizuka (CoRR, 2025)