| Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms M Jalayer, C Orsenigo, C Vercellis Computers in Industry 125, 103378, 2021 | 203 | 2021 |
| Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification C Orsenigo, C Vercellis Pattern Recognition 43 (11), 3787-3794, 2010 | 118 | 2010 |
| Public mood–driven asset allocation: The importance of financial sentiment in portfolio management L Malandri, FZ Xing, C Orsenigo, C Vercellis, E Cambria Cognitive Computation 10 (6), 1167-1176, 2018 | 88 | 2018 |
| Green oriented crowdfunding campaigns: Their characteristics and diffusion in different institutional settings V Butticè, MG Colombo, E Fumagalli, C Orsenigo Technological Forecasting and Social Change 141, 85-97, 2019 | 68 | 2019 |
| Linear versus nonlinear dimensionality reduction for banks’ credit rating prediction C Orsenigo, C Vercellis Knowledge-Based Systems 47, 14-22, 2013 | 66 | 2013 |
| Multivariate classification trees based on minimum features discrete support vector machines C Orsenigo, C Vercellis IMA Journal of Management Mathematics 14 (3), 221-234, 2003 | 54 | 2003 |
| Discrete support vector decision trees via tabu search C Orsenigo, C Vercellis Computational statistics & data analysis 47 (2), 311-322, 2004 | 50 | 2004 |
| Kernel ridge regression for out-of-sample mapping in supervised manifold learning C Orsenigo, C Vercellis Expert Systems with Applications 39 (9), 7757-7762, 2012 | 46 | 2012 |
| A comparative study of nonlinear manifold learning methods for cancer microarray data classification C Orsenigo, C Vercellis Expert systems with Applications 40 (6), 2189-2197, 2013 | 42 | 2013 |
| An effective double-bounded tree-connected Isomap algorithm for microarray data classification C Orsenigo, C Vercellis Pattern Recognition Letters 33 (1), 9-16, 2012 | 32 | 2012 |
| When old meets new: emotion recognition from speech signals KA Araño, P Gloor, C Orsenigo, C Vercellis Cognitive Computation 13 (3), 771-783, 2021 | 26 | 2021 |
| CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19 M Jalayer, C Orsenigo, C Vercellis arXiv preprint arXiv:2007.13231, 2020 | 26 | 2020 |
| Accurately learning from few examples with a polyhedral classifier C Orsenigo, C Vercellis Computational optimization and applications 38 (2), 235-247, 2007 | 24 | 2007 |
| Electramed: a new pre-trained language representation model for biomedical nlp G Miolo, G Mantoan, C Orsenigo arXiv preprint arXiv:2104.09585, 2021 | 19 | 2021 |
| The effect of information asymmetries on serial crowdfunding and campaign success V Buttice, C Orsenigo, M Wright Economia e Politica Industriale 45 (2), 143-173, 2018 | 17 | 2018 |
| Fault detection and diagnosis with imbalanced and noisy data: A hybrid framework for rotating machinery M Jalayer, A Kaboli, C Orsenigo, C Vercellis Machines 10 (4), 237, 2022 | 16 | 2022 |
| Multicategory classification via discrete support vector machines C Orsenigo, C Vercellis Computational Management Science 6 (1), 101-114, 2009 | 16 | 2009 |
| Multimodal sentiment and emotion recognition in hyperbolic space KA Araño, C Orsenigo, M Soto, C Vercellis Expert Systems with Applications 184, 115507, 2021 | 15 | 2021 |
| An improved set covering problem for Isomap supervised landmark selection C Orsenigo Pattern Recognition Letters 49, 131-137, 2014 | 15 | 2014 |
| Automatic visual inspection of rare defects: A framework based on gp-wgan and enhanced faster R-CNN M Jalayer, R Jalayer, A Kaboli, C Orsenigo, C Vercellis 2021 IEEE International Conference on Industry 4.0, Artificial Intelligence …, 2021 | 14 | 2021 |
