1. A digital architecture for support vector machines: theory, algorithm and FPGA implementation;Anguita;IEEE Trans. Neural Networks,2003
2. Theoretical and practical model selection methods for support vector classification;Anguita,2005
3. D. Anguita, G. Bozza, The effects of quantization on support vector machines with Gaussian kernel, IEEE International Joint Conference on Neural Networks, Vancouver, Canada, 2005.
4. MBP on SPERT: mixing floating- and fixed-point in BP learning;Anguita;Microprocess. Microprogramming,1996
5. Feed–forward SVM without multipliers;Anguita;IEEE Trans. Neural Networks,2006