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Carlotta Orsenigo
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2020 – today
- 2024
- [j17]Reza Jalayer
, Masoud Jalayer
ConvLSTM-based Sound Source Localization in a manufacturing workplace. Comput. Ind. Eng. 192: 110213 (2024) - 2022
- [j16]Keith April Araño
"Emotions are the Great Captains of Our Lives": Measuring Moods Through the Power of Physiological and Environmental Sensing. IEEE Trans. Affect. Comput. 13(3): 1378-1389 (2022) - [i4]Masoud Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis:
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery. CoRR abs/2202.04212 (2022) - 2021
- [j15]Masoud Jalayer
Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms. Comput. Ind. 125: 103378 (2021) - [j14]Keith April Araño
When Old Meets New: Emotion Recognition from Speech Signals. Cogn. Comput. 13(3): 771-783 (2021) - [j13]Keith April Araño, Carlotta Orsenigo, Mauricio Soto, Carlo Vercellis:
Multimodal sentiment and emotion recognition in hyperbolic space. Expert Syst. Appl. 184: 115507 (2021) - [i3]Giacomo Miolo, Giulio Mantoan, Carlotta Orsenigo:
ELECTRAMed: a new pre-trained language representation model for biomedical NLP. CoRR abs/2104.09585 (2021) - [i2]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 abs/2105.00447 (2021) - 2020
- [i1]Masoud Jalayer, Carlotta Orsenigo, Carlo Vercellis:
CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19. CoRR abs/2007.13231 (2020)
2010 – 2019
- 2018
- [j12]Lorenzo Malandri
Public Mood-Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management. Cogn. Comput. 10(6): 1167-1176 (2018) - [c9]Carlotta Orsenigo
Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis. IDEAL (1) 2018: 567-575 - 2015
- [c8]Carlotta Orsenigo:
Effective MVU via Central Prototypes and Kernel Ridge Regression. MDAI 2015: 143-154 - 2014
- [j11]Carlotta Orsenigo:
An improved set covering problem for Isomap supervised landmark selection. Pattern Recognit. Lett. 49: 131-137 (2014) - 2013
- [j10]Carlotta Orsenigo, Carlo Vercellis:
A comparative study of nonlinear manifold learning methods for cancer microarray data classification. Expert Syst. Appl. 40(6): 2189-2197 (2013) - [j9]Carlotta Orsenigo, Carlo Vercellis:
Linear versus nonlinear dimensionality reduction for banks' credit rating prediction. Knowl. Based Syst. 47: 14-22 (2013) - [c7]Carlotta Orsenigo, Carlo Vercellis:
Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification. EvoBIO 2013: 92-103 - [c6]Carlotta Orsenigo, Carlo Vercellis:
Landmark Selection for Isometric Feature Mapping Based on Mixed-Integer Optimization. MDAI 2013: 260-271 - 2012
- [j8]Carlotta Orsenigo, Carlo Vercellis:
Kernel ridge regression for out-of-sample mapping in supervised manifold learning. Expert Syst. Appl. 39(9): 7757-7762 (2012) - [j7]Carlotta Orsenigo, Carlo Vercellis:
Regularization through fuzzy discrete SVM with applications to customer ranking. J. Intell. Fuzzy Syst. 23(4): 101-110 (2012) - [j6]Carlotta Orsenigo, Carlo Vercellis:
An effective double-bounded tree-connected Isomap algorithm for microarray data classification. Pattern Recognit. Lett. 33(1): 9-16 (2012) - 2010
- [j5]Carlotta Orsenigo, Carlo Vercellis:
Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification. Pattern Recognit. 43(11): 3787-3794 (2010) - [c5]Carlotta Orsenigo, Carlo Vercellis:
Time Series Gene Expression Data Classification via L1-norm Temporal SVM. PRIB 2010: 264-274
2000 – 2009
- 2009
- [j4]Carlotta Orsenigo, Carlo Vercellis:
Multicategory classification via discrete support vector machines. Comput. Manag. Sci. 6(1): 101-114 (2009) - 2008
- [c4]Carlotta Orsenigo:
Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization. EvoBIO 2008: 141-152 - 2007
- [j3]Carlotta Orsenigo, Carlo Vercellis:
Accurately learning from few examples with a polyhedral classifier. Comput. Optim. Appl. 38(2): 235-247 (2007) - [c3]Carlotta Orsenigo, Carlo Vercellis:
Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines. EvoBIO 2007: 197-206 - [c2]Carlotta Orsenigo, Carlo Vercellis:
Softening the Margin in Discrete SVM. ICDM 2007: 49-62 - [c1]Carlotta Orsenigo, Carlo Vercellis:
Evaluating Membership Functions for Fuzzy Discrete SVM. WILF 2007: 187-194 - 2006
- [j2]Carlotta Orsenigo, Carlo Vercellis:
Bayesian Stopping Rules for Greedy Randomized Procedures. J. Glob. Optim. 36(3): 365-377 (2006) - 2004
- [j1]Carlotta Orsenigo, Carlo Vercellis:
Discrete support vector decision trees via tabu search. Comput. Stat. Data Anal. 47(2): 311-322 (2004)
Coauthor Index
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