Randomized algorithms: An annotated bibliography - In alphabetical order. - Francesco Maffioli; M. Grazia Speranza; Carlo Vercellis (Ann. Oper. Res., 1984)

A probabilistic analysis of the set covering problem. - Carlo Vercellis (Ann. Oper. Res., 1984)

Efficient On-Line Algorithms for the Knapsack Problem (Extended Abstract). - Alberto Marchetti-Spaccamela; Carlo Vercellis (ICALP, 1987)

Multi-constrained matroidal knapsack problems. - Paolo M. Camerini; Francesco Maffioli; Carlo Vercellis (Math. Program., 1989)

A Probabilistic Analysis of the Multiknapsack Value Function. - M. Meanti; A. H. G. Rinnooy Kan; Leen Stougie; Carlo Vercellis (Math. Program., 1990)

A Class of Generalized Greedy Algorithms for the Multi-Knapsack Problem. - A. H. G. Rinnooy Kan; Leen Stougie; Carlo Vercellis (Discret. Appl. Math., 1993)

Stochastic on-line knapsack problems. - Alberto Marchetti-Spaccamela; Carlo Vercellis (Math. Program., 1995)

Multi-plant production planning in capacitated self-configuring two-stage serial systems. - Carlo Vercellis (Eur. J. Oper. Res., 1999)

Synchronized Development of Production, Inventory, and Distribution Schedules. - Francesca Fumero; Carlo Vercellis (Transp. Sci., 1999)

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)

Guest editorial. - Giovanni Felici; Carlo Vercellis (Comput. Optim. Appl., 2007)

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

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)

Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis. - Carlotta Orsenigo; Carlo Vercellis; Claudia Volpetti (IDEAL (1), 2018)

Discovering Bayesian Market Views for Intelligent Asset Allocation. - Frank Z. Xing; Erik Cambria; Lorenzo Malandri; Carlo Vercellis (ECML/PKDD (3), 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)

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)