1. D. Anguita, A. Ghio, L. Oneto, S. Ridella, in A learning machine with a bit-based hypothesis space, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2013
2. D. Anguita, A. Ghio, L. Oneto, S. Ridella, in Selecting the hypothesis space for improving the generalization ability of support vector machines, International Joint Conference on Neural Networks, 2011
3. D. Anguita, A. Ghio, L. Oneto, S. Ridella, In-sample and out-of-sample model selection and error estimation for support vector machines. IEEE Trans. Neural Networks. Learn. Syst. 23, 1390–1406 (2012)
4. D. Anguita, A. Ghio, S. Pischiutta, S. Ridella, in A hardware-friendly support vector machine for embedded automotive applications, International Joint Conference on Neural Networks, 2007
5. D. Anguita, A. Ghio, S. Ridella, D. Sterpi, in K-fold cross validation for error rate estimate in support vector machines, International Conference on Data Mining, 2009