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Reis, L.., Baptista D., & Morgado D. F. (2014).  A Software Tool for Automatic Generation of Neural Hardware. The International Arab Journal of Information Technology. 11(3), 
Baptista, D., & Morgado D. F. (2013).  Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks. Neural Computing and Applications. 1-7.
Baptista, D., Rodrigues S., & Morgado D. F. (2013).  Performance comparison of ANN training algorithms for classification. Intelligent Signal Processing (WISP), 2013 IEEE 8th International Symposium on. 115-120.
Baptista, D., & Morgado D. F. (2013).  A survey of artificial neural network training tools. Neural Computing and Applications [Impact Factor SJR2012: 1.168]. 23, 609-615.
Reis, L., Aguiar L., Baptista D., & Morgado D. F. (2011).  ANGE – Automatic Neural Generator. (Honkela, T., Duch W., Girolami M., & Kaski S., Ed.).Artificial Neural Networks and Machine Learning – ICANN 2011. 6792, 446-453.
Cameirao, M., Baptista D., Oliveira JG., Reis D., Abreu F., Santos L., et al. (2002).  A Physics Engineering Project on Health Sciences. PTEE 2002 - 3rd European Conference on Physics Teaching in Engineering Education. 1-7.