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Carlo Vercellis
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2020 – today
- 2024
- [j25]Reza Jalayer
, Masoud Jalayer
ConvLSTM-based Sound Source Localization in a manufacturing workplace. Comput. Ind. Eng. 192: 110213 (2024) - 2022
- [j24]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
- [j23]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) - [j22]Keith April Araño
When Old Meets New: Emotion Recognition from Speech Signals. Cogn. Comput. 13(3): 771-783 (2021) - [j21]Keith April Araño, Carlotta Orsenigo, Mauricio Soto, Carlo Vercellis:
Multimodal sentiment and emotion recognition in hyperbolic space. Expert Syst. Appl. 184: 115507 (2021) - [i3]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
- [i2]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
- [j20]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 - [c8]Frank Z. Xing
Discovering Bayesian Market Views for Intelligent Asset Allocation. ECML/PKDD (3) 2018: 120-135 - [i1]Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis:
Discovering Bayesian Market Views for Intelligent Asset Allocation. CoRR abs/1802.09911 (2018) - 2013
- [j19]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) - [j18]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
- [j17]Carlotta Orsenigo, Carlo Vercellis:
Kernel ridge regression for out-of-sample mapping in supervised manifold learning. Expert Syst. Appl. 39(9): 7757-7762 (2012) - [j16]Carlotta Orsenigo, Carlo Vercellis:
Regularization through fuzzy discrete SVM with applications to customer ranking. J. Intell. Fuzzy Syst. 23(4): 101-110 (2012) - [j15]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
- [j14]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
- [j13]Carlotta Orsenigo, Carlo Vercellis:
Multicategory classification via discrete support vector machines. Comput. Manag. Sci. 6(1): 101-114 (2009) - 2007
- [j12]Giovanni Felici
Guest editorial. Comput. Optim. Appl. 38(2): 191-193 (2007) - [j11]Carlotta Orsenigo, Carlo Vercellis:
Accurately learning from few examples with a polyhedral classifier. Comput. Optim. Appl. 38(2): 235-247 (2007) - [c4]Carlotta Orsenigo, Carlo Vercellis:
Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines. EvoBIO 2007: 197-206 - [c3]Carlotta Orsenigo, Carlo Vercellis:
Softening the Margin in Discrete SVM. ICDM 2007: 49-62 - [c2]Carlotta Orsenigo, Carlo Vercellis:
Evaluating Membership Functions for Fuzzy Discrete SVM. WILF 2007: 187-194 - 2006
- [j10]Carlotta Orsenigo, Carlo Vercellis:
Bayesian Stopping Rules for Greedy Randomized Procedures. J. Glob. Optim. 36(3): 365-377 (2006) - 2004
- [j9]Carlotta Orsenigo, Carlo Vercellis:
Discrete support vector decision trees via tabu search. Comput. Stat. Data Anal. 47(2): 311-322 (2004)
1990 – 1999
- 1999
- [j8]Carlo Vercellis:
Multi-plant production planning in capacitated self-configuring two-stage serial systems. Eur. J. Oper. Res. 119(2): 451-460 (1999) - [j7]Francesca Fumero, Carlo Vercellis:
Synchronized Development of Production, Inventory, and Distribution Schedules. Transp. Sci. 33(3): 330-340 (1999) - 1995
- [j6]Alberto Marchetti-Spaccamela
Stochastic on-line knapsack problems. Math. Program. 68: 73-104 (1995) - 1993
- [j5]A. H. G. Rinnooy Kan, Leen Stougie, Carlo Vercellis:
A Class of Generalized Greedy Algorithms for the Multi-Knapsack Problem. Discret. Appl. Math. 42(2): 279-290 (1993) - 1990
- [j4]M. Meanti, A. H. G. Rinnooy Kan, Leen Stougie, Carlo Vercellis:
A Probabilistic Analysis of the Multiknapsack Value Function. Math. Program. 46: 237-247 (1990)
1980 – 1989
- 1989
- [j3]Paolo M. Camerini, Francesco Maffioli, Carlo Vercellis:
Multi-constrained matroidal knapsack problems. Math. Program. 45(1-3): 211-231 (1989) - 1987
- [c1]Alberto Marchetti-Spaccamela
Efficient On-Line Algorithms for the Knapsack Problem (Extended Abstract). ICALP 1987: 445-456 - 1984
- [j2]Carlo Vercellis:
A probabilistic analysis of the set covering problem. Ann. Oper. Res. 1(3): 255-271 (1984) - [j1]Francesco Maffioli, M. Grazia Speranza
Randomized algorithms: An annotated bibliography - In alphabetical order. Ann. Oper. Res. 1(3): 331-345 (1984)
Coauthor Index
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last updated on 2024-08-05 20:19 CEST by the dblp team
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