Carlotta Orsenigo

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 12

Top Topics

Set Covering Problem

Kernel Ridge Regression

Sentiment Analysis

Emotion Recognition

Top Venues

Comput. Ind. Eng.

IEEE Trans. Affect. Comput.

Publications

Reza Jalayer, Masoud Jalayer, Andrea Mor, Carlotta Orsenigo, Carlo Vercellis
ConvLSTM-based Sound Source Localization in a manufacturing workplace. Comput. Ind. Eng. 192 (2024)
Keith April Araño, Peter A. Gloor, Carlotta Orsenigo, Carlo Vercellis
"Emotions are the Great Captains of Our Lives": Measuring Moods Through the Power of Physiological and Environmental Sensing. IEEE Trans. Affect. Comput. 13 (3) (2022)
Masoud Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery. CoRR (2022)
Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis
Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms. Comput. Ind. 125 (2021)
Masoud Jalayer, Reza Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis
Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN. CoRR (2021)
Giacomo Miolo, Giulio Mantoan, Carlotta Orsenigo
ELECTRAMed: a new pre-trained language representation model for biomedical NLP. CoRR (2021)
Keith April Araño, Carlotta Orsenigo, Mauricio Soto, Carlo Vercellis
Multimodal sentiment and emotion recognition in hyperbolic space. Expert Syst. Appl. 184 (2021)
Keith April Araño, Peter A. Gloor, Carlotta Orsenigo, Carlo Vercellis
When Old Meets New: Emotion Recognition from Speech Signals. Cogn. Comput. 13 (3) (2021)
Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis
CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19. CoRR (2020)
Carlotta Orsenigo, Carlo Vercellis, Claudia Volpetti
Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis. IDEAL (1) (2018)
Lorenzo Malandri, Frank Z. Xing, Carlotta Orsenigo, Carlo Vercellis, Erik Cambria
Public Mood-Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management. Cogn. Comput. 10 (6) (2018)
Carlotta Orsenigo
Effective MVU via Central Prototypes and Kernel Ridge Regression. MDAI (2015)
Carlotta Orsenigo
An improved set covering problem for Isomap supervised landmark selection. Pattern Recognit. Lett. 49 (2014)
Carlotta Orsenigo, Carlo Vercellis
Landmark Selection for Isometric Feature Mapping Based on Mixed-Integer Optimization. MDAI (2013)
Carlotta Orsenigo, Carlo Vercellis
Linear versus nonlinear dimensionality reduction for banks' credit rating prediction. Knowl. Based Syst. 47 (2013)
Carlotta Orsenigo, Carlo Vercellis
Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification. EvoBIO (2013)
Carlotta Orsenigo, Carlo Vercellis
A comparative study of nonlinear manifold learning methods for cancer microarray data classification. Expert Syst. Appl. 40 (6) (2013)
Carlotta Orsenigo, Carlo Vercellis
Regularization through fuzzy discrete SVM with applications to customer ranking. J. Intell. Fuzzy Syst. 23 (4) (2012)
Carlotta Orsenigo, Carlo Vercellis
Kernel ridge regression for out-of-sample mapping in supervised manifold learning. Expert Syst. Appl. 39 (9) (2012)
Carlotta Orsenigo, Carlo Vercellis
An effective double-bounded tree-connected Isomap algorithm for microarray data classification. Pattern Recognit. Lett. 33 (1) (2012)
Carlotta Orsenigo, Carlo Vercellis
-norm Temporal SVM. PRIB (2010)
Carlotta Orsenigo, Carlo Vercellis
Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification. Pattern Recognit. 43 (11) (2010)
Carlotta Orsenigo, Carlo Vercellis
Multicategory classification via discrete support vector machines. Comput. Manag. Sci. 6 (1) (2009)
Carlotta Orsenigo
Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization. EvoBIO (2008)
Carlotta Orsenigo, Carlo Vercellis
Softening the Margin in Discrete SVM. ICDM (2007)
Carlotta Orsenigo, Carlo Vercellis
Accurately learning from few examples with a polyhedral classifier. Comput. Optim. Appl. 38 (2) (2007)
Carlotta Orsenigo, Carlo Vercellis
Evaluating Membership Functions for Fuzzy Discrete SVM. WILF (2007)
Carlotta Orsenigo, Carlo Vercellis
Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines. EvoBIO (2007)
Carlotta Orsenigo, Carlo Vercellis
Bayesian Stopping Rules for Greedy Randomized Procedures. J. Glob. Optim. 36 (3) (2006)
Carlotta Orsenigo, Carlo Vercellis
Discrete support vector decision trees via tabu search. Comput. Stat. Data Anal. 47 (2) (2004)